From fed55d07804c04aa7835fe8c1c57799de43d6a2a Mon Sep 17 00:00:00 2001 From: Roberto Del Prete <71963566+sirbastiano@users.noreply.github.com> Date: Wed, 30 Aug 2023 09:33:44 +0200 Subject: [PATCH] commit init patchStudy branch --- scripts_and_studies/patch_study/launcher.sh | 103 + scripts_and_studies/patch_study/patchify.py | 103 - scripts_and_studies/patch_study/ps.py | 330 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + .../Australia_1_count.csv | 4 + .../Barren_Island_00_count.csv | 2 + .../Barren_Island_01_count.csv | 2 + .../Barren_Island_02_count.csv | 2 + .../Barren_Island_10_count.csv | 2 + .../Bolivia_0_count.csv | 3 + .../Bolivia_1_count.csv | 4 + .../Chillan_Nevados_de_01_count.csv | 2 + .../Chillan_Nevados_de_02_count.csv | 2 + .../Copahue_20_count.csv | 3 + .../Etna_00_count.csv | 4 + .../Etna_01_count.csv | 2 + .../Etna_02_count.csv | 3 + .../Etna_03_count.csv | 2 + .../France_0_count.csv | 4 + .../Fuego_00_count.csv | 2 + .../Fuego_01_count.csv | 3 + .../Fuego_02_count.csv | 3 + .../Greece_0_count.csv | 2 + .../Greece_1_count.csv | 4 + .../Greece_2_count.csv | 3 + .../Greece_3_count.csv | 2 + .../Greece_4_count.csv | 3 + .../Greece_5_count.csv | 4 + .../Greenland_0_count.csv | 3 + .../Italy_0_count.csv | 3 + .../Karangetang_01_count.csv | 2 + .../Kenya_0_count.csv | 4 + .../Krysuvik-Trolladyngja_00_count.csv | 2 + .../Krysuvik-Trolladyngja_01_count.csv | 2 + .../Krysuvik-Trolladyngja_02_count.csv | 3 + .../Krysuvik-Trolladyngja_03_count.csv | 3 + .../La_Palma_00_count.csv | 2 + .../La_Palma_02_count.csv | 2 + .../Latvia_0_count.csv | 6 + .../Latvia_1_count.csv | 5 + .../Mayon_01_count.csv | 2 + .../Mayon_02_count.csv | 2 + .../Mexico_0_count.csv | 5 + .../Nyamulagira_00_count.csv | 3 + .../Nyamulagira_01_count.csv | 4 + .../Nyamulagira_02_count.csv | 3 + .../Nyamulagira_03_count.csv | 4 + .../Nyamulagira_04_count.csv | 4 + .../Nyamulagira_05_count.csv | 2 + .../Piton_de_la_Fournaise_00_count.csv | 2 + .../Piton_de_la_Fournaise_01_count.csv | 2 + .../Piton_de_la_Fournaise_02_count.csv | 3 + .../Piton_de_la_Fournaise_10_count.csv | 2 + .../Piton_de_la_Fournaise_11_count.csv | 2 + .../Piton_de_la_Fournaise_12_count.csv | 2 + .../Piton_de_la_Fournaise_31_count.csv | 2 + .../Piton_de_la_Fournaise_32_count.csv | 2 + .../Poas_00_count.csv | 4 + .../Raung_10_count.csv | 3 + .../Raung_11_count.csv | 5 + .../Raung_12_count.csv | 3 + .../San_Miguel_10_count.csv | 3 + .../San_Miguel_11_count.csv | 5 + .../San_Miguel_12_count.csv | 4 + .../Sangay_00_count.csv | 2 + .../Sangay_01_count.csv | 2 + .../Sangay_10_count.csv | 2 + .../Sangay_11_count.csv | 2 + .../Sangay_12_count.csv | 2 + .../Sangay_31_count.csv | 2 + .../Santa_Maria_00_count.csv | 4 + .../Spain_2_count.csv | 3 + .../Spain_5_count.csv | 2 + .../Stromboli_01_count.csv | 2 + .../Stromboli_02_count.csv | 2 + .../Sweden_0_count.csv | 4 + .../Telica_00_count.csv | 2 + .../Telica_02_count.csv | 2 + .../Tinakula_00_count.csv | 2 + .../Tinakula_01_count.csv | 2 + .../Tinakula_02_count.csv | 2 + .../Ukraine_0_count.csv | 4 + ...00)_overlap_0.25_windowSize_(128, 128).pkl | Bin 0 -> 229 bytes ...00)_overlap_0.25_windowSize_(256, 256).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.25_windowSize_(384, 384).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.25_windowSize_(512, 512).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.33_windowSize_(128, 128).pkl | Bin 0 -> 229 bytes ...00)_overlap_0.33_windowSize_(256, 256).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.33_windowSize_(384, 384).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.33_windowSize_(512, 512).pkl | Bin 0 -> 231 bytes ...400)_overlap_0.5_windowSize_(128, 128).pkl | Bin 0 -> 229 bytes ...400)_overlap_0.5_windowSize_(256, 256).pkl | Bin 0 -> 231 bytes ...400)_overlap_0.5_windowSize_(384, 384).pkl | Bin 0 -> 231 bytes ...400)_overlap_0.5_windowSize_(512, 512).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.75_windowSize_(128, 128).pkl | Bin 0 -> 229 bytes ...00)_overlap_0.75_windowSize_(256, 256).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.75_windowSize_(384, 384).pkl | Bin 0 -> 231 bytes ...00)_overlap_0.75_windowSize_(512, 512).pkl | Bin 0 -> 231 bytes .../patch_study/study_tool.ipynb | 44707 ++++++++++++++++ scripts_and_studies/patch_study/thraws_db.csv | 89 + 1269 files changed, 48749 insertions(+), 103 deletions(-) create mode 100644 scripts_and_studies/patch_study/launcher.sh delete mode 100644 scripts_and_studies/patch_study/patchify.py create mode 100644 scripts_and_studies/patch_study/ps.py create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Australia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Copahue_20_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/France_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_3_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_4_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greenland_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Italy_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Karangetang_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Kenya_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_1_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mexico_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_03_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_04_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_05_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Poas_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_10_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_11_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_12_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_31_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Santa_Maria_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_2_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_5_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sweden_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_00_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_01_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_02_count.csv create mode 100644 scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Ukraine_0_count.csv create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384).pkl create mode 100644 scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512).pkl create mode 100644 scripts_and_studies/patch_study/study_tool.ipynb create mode 100644 scripts_and_studies/patch_study/thraws_db.csv diff --git a/scripts_and_studies/patch_study/launcher.sh b/scripts_and_studies/patch_study/launcher.sh new file mode 100644 index 0000000..65d7916 --- /dev/null +++ b/scripts_and_studies/patch_study/launcher.sh @@ -0,0 +1,103 @@ +#!/bin/bash + +events=( + # 'Barren_Island_00' + # 'Barren_Island_01' + # 'Barren_Island_02' + # 'Barren_Island_10' + # 'Chillan_Nevados_de_01' + # 'Chillan_Nevados_de_02' + # 'Copahue_20' + # 'Copahue_21_NE' + # 'Etna_00' + # 'Etna_01' + # 'Etna_02' + # 'Etna_03' + # 'Fuego_00' + # 'Fuego_01' + # 'Fuego_02' + # 'Karangetang_01' + # 'Krysuvik-Trolladyngja_00' + # 'Krysuvik-Trolladyngja_01' + # 'Krysuvik-Trolladyngja_02' + # 'Krysuvik-Trolladyngja_03' + # 'La_Palma_00' + # 'La_Palma_02' + # 'Mayon_01' + # 'Mayon_02' + 'Nyamulagira_00' + 'Nyamulagira_01' + 'Nyamulagira_02' + 'Piton_de_la_Fournaise_00' + 'Piton_de_la_Fournaise_01' + 'Piton_de_la_Fournaise_02' + 'Piton_de_la_Fournaise_10' + 'Piton_de_la_Fournaise_11' + 'Piton_de_la_Fournaise_12' + 'Piton_de_la_Fournaise_31' + 'Piton_de_la_Fournaise_32' + 'Raung_10' + 'Raung_11' + 'Raung_12' + 'San_Miguel_10' + 'San_Miguel_11' + 'San_Miguel_12' + 'Sangay_00' + 'Sangay_01' + 'Sangay_10' + 'Sangay_11' + 'Sangay_12' + 'Sangay_31' + 'Santa_Maria_00' + 'Stromboli_01' + 'Stromboli_02' + 'Telica_00' + 'Telica_02' + 'Tinakula_00' + 'Tinakula_01' + 'Tinakula_02' + 'Nyamulagira_03' + 'Nyamulagira_04' + 'Nyamulagira_05' + 'Poas_00' + 'Piton_de_la_Fournaise_00_NE' + 'Piton_de_la_Fournaise_02_NE' + 'Poas_20_NE' + 'Raung_10_NE' + 'Raung_11_NE' + 'Raung_12_NE' + 'Telica_00_NE' + 'Telica_01_NE' + 'Ulawun_20_NE' + 'France_0' + 'Greece_0' + 'Greece_1' + 'Greece_2' + 'Latvia_0' + 'Mexico_0' + 'Spain_2' + 'Greece_3' + 'Ukraine_0' + 'Australia_1' + 'Italy_0' + 'Bolivia_0' + 'Bolivia_1' + 'Greece_4' + 'Greenland_0' + 'Greece_5' + 'Kenya_0' + 'Latvia_1' + 'Sweden_0' + 'Spain_5' +) + +for event in "${events[@]}" +do + for overlap in 0.25 0.33 0.5 0.75 + do + for windowSize in "(128,128)" "(256,256)" "(384,384)" "(512,512)" + do + python ps.py --event "$event" --img_size="(1400,1400)" --overlap "$overlap" --windowSize="$windowSize" --plot False + done + done +done \ No newline at end of file diff --git a/scripts_and_studies/patch_study/patchify.py b/scripts_and_studies/patch_study/patchify.py deleted file mode 100644 index e4b53fd..0000000 --- a/scripts_and_studies/patch_study/patchify.py +++ /dev/null @@ -1,103 +0,0 @@ -import sys -import os - -sys.path.insert(1, os.path.join("..", "..")) -sys.path.insert( - 1, os.path.join("..", "..", "scripts_and_studies", "hta_detection_algorithms") -) -from pyraws.raw.raw_event import Raw_event -from shapely.geometry import Polygon -import torch -import matplotlib.pyplot as plt - -# CONFIG_ -os.environ["KMP_DUPLICATE_LIB_OK"] = "True" -if torch.cuda.is_available(): - device = torch.device("cuda") -else: - device = torch.device("cpu") - -plt.rcParams["figure.figsize"] = [10, 10] - - -def mulitBox(bbox_list): - if any(isinstance(i, list) for i in bbox_list): - return True - - return False - - -def sliding_window(image, window_size, overlap): - """ - Generate sub-images of the input image using a sliding window. - Parameters: - - image (2D numpy array): The input image. - - window_size (int): The size (in pixels) of the sliding window. - - overlap (float): The degree of overlap between two consecutive window movements. - - Returns: - - sub_images (dict): A dictionary with the top-left and bottom-right corner positions (x1, y1, x2, y2) - as keys and the sub-images as values. - """ - # Get the dimensions of the input image - h, w = image.shape[:2] - - # Calculate the step size (in pixels) for the sliding window - step_size = int(window_size * (1 - overlap)) - - # Initialize the dictionary of sub-images - sub_images = {} - - # Slide the window across the image - for y in range(0, h, step_size): - for x in range(0, w, step_size): - # Extract the sub-image - sub_image = image[y : y + window_size, x : x + window_size] - klam = window_size - sub_image.shape[1] - teta = window_size - sub_image.shape[0] - sub_image = image[ - y - teta : y - teta + window_size, x - klam : x - klam + window_size - ] - - # Add the sub-image to the dictionary with the positions as the key - sub_images[ - (x - klam, y - teta, x - klam + window_size, y - teta + window_size) - ] = sub_image - return sub_images - - -# Event config: -def find_granule_dim(event_name: str, key_granule): - requested_bands = ["B04", "B8A", "B11", "B12"] - raw_event = Raw_event(device=device) - raw_event.from_database(event_name, requested_bands) - - raw_granule_registered = raw_event.coarse_coregistration( - [key_granule], - use_complementary_granules=True, - crop_empty_pixels=True, - verbose=False, - ) - raw_granule_tensor = raw_granule_registered.as_tensor()[:, :, :] - return [raw_granule_tensor.size(0), raw_granule_tensor.size(1)] - - -def pos2Shap(pos, offY): - x1, y1, x2, y2 = pos - # Only for calculating the polygon and the intersection. - ShapP1 = (x1, offY - y1) - ShapP2 = (x1, offY - y2) - ShapP3 = (x2, offY - y2) - ShapP4 = (x2, offY - y1) - ShapP5 = ShapP1 - - Shapatch = Polygon([ShapP1, ShapP2, ShapP3, ShapP4, ShapP5]).convex_hull - return Shapatch - - -def main(): - pass - - -if __name__ == "__main__": - main() diff --git a/scripts_and_studies/patch_study/ps.py b/scripts_and_studies/patch_study/ps.py new file mode 100644 index 0000000..72bf87e --- /dev/null +++ b/scripts_and_studies/patch_study/ps.py @@ -0,0 +1,330 @@ +import pandas as pd +import cv2 +from ast import literal_eval +import matplotlib.pyplot as plt +import numpy as np +import imageio +from matplotlib.path import Path +import os +from IPython.display import clear_output +import argparse +from ast import literal_eval + + +parser = argparse.ArgumentParser( + description="Create a gif with the windows by sliding the window on the granule." +) +# add arguments to the parser +parser.add_argument("--event", type=str, help="Event to parse") + +parser.add_argument( + "--img_size", + type=str, + default="(1400, 1400)", + help="Size of the image in pixels, in the format (height, width)", +) +parser.add_argument( + "--overlap", + type=float, + default=0.25, + help="The proportion of overlap between windows", +) +parser.add_argument( + "--windowSize", + type=str, + default="(256, 256)", + help="Size of the window in pixels, in the format (height, width)", +) +parser.add_argument("--plot", type=str, default="True", help="Plot or not windows") + +args = parser.parse_args() + +event_to_parse = args.event +image_size = literal_eval(args.img_size) # (1400, 1400) +overlap = args.overlap # 0.25 +windowSize = literal_eval(args.windowSize) # (256, 256) +plotter = literal_eval(args.plot) + +print("Plotter set to:", plotter) + + +df = pd.read_csv("thraws_db.csv", index_col=0) +columns = ( + df.columns.tolist() +) # ['ID_event', 'Start', 'End', 'Sat', 'Coords (Lat, Lon)', 'class', 'Raw_useful_granules', 'Raw_complementary_granules', 'Polygon_square', 'Raw_files', 'l1c_files', 'bbox_list', 'bbox_list_merged', 'Polygon'] +# create dict with ID_evnet as key and bbox_list_merged as values: +bbox_dict = dict(zip(df.ID_event, df.bbox_list_merged)) +print("Bbox_dict created", len(bbox_dict)) +# create events list +events = df.ID_event.tolist() + + +def sliding_window(image_size: tuple, overlap: float, windowSize: tuple): + """ + Slide a window across the image. + + Parameters + ---------- + image_size : tuple + Size of the image in pixels, in the format (height, width) + overlap : float + The proportion of overlap between windows + windowSize : tuple + Size of the window in pixels, in the format (height, width) + + Yields + ------ + tuple + The coordinates of the current window, in the format (x1, y1, x2, y2) + + """ + # Calculate the number of steps needed in each dimension + num_steps_y = int( + np.ceil((image_size[0] - windowSize[0]) / (windowSize[0] * (1 - overlap))) + 1 + ) + num_steps_x = int( + np.ceil((image_size[1] - windowSize[1]) / (windowSize[1] * (1 - overlap))) + 1 + ) + + # Generate the starting coordinates for the y-axis and x-axis + y_steps = np.linspace(0, image_size[0] - windowSize[0], num_steps_y).astype(int) + x_steps = np.linspace(0, image_size[1] - windowSize[1], num_steps_x).astype(int) + + for y in y_steps: + for x in x_steps: + # yield the current window, just the coords: + yield (x, y, x + windowSize[1], y + windowSize[0]) + + +def pointsReformat(points): + """ + Reformat the coordinates of a window from the format (x1, y1, x2, y2) to the format point1, point2, point3, point4. + + Parameters + ---------- + points : tuple + The coordinates of the current window, in the format (x1, y1, x2, y2) + + Returns + ------- + tuple + The coordinates of the current window reformatted as point1, point2, point3, point4. + """ + (x1, y1, x2, y2) = points + point1 = (x1, y1) + point2 = (x2, y1) + point3 = (x2, y2) + point4 = (x1, y2) + return (point1, point2, point3, point4) + + +def fill_polygon_in_granule(granule, polygon): + """ + Fill a polygon in a granule. + + Parameters + ---------- + granule : 2D numpy.ndarray + A granule to fill. + polygon : list of tuples + A polygon to fill. + + Returns + ------- + 2D numpy.ndarray + The granule filled with the polygon. + """ + path = Path(polygon) + x, y = np.meshgrid(np.arange(granule.shape[1]), np.arange(granule.shape[0])) + co_ordinates = np.column_stack((x.ravel(), y.ravel())) + mask = path.contains_points(co_ordinates).reshape(granule.shape) + granule[mask] = 1 + return granule + + +# plot the points reformatted on a squadre of size granule: +def plot_points( + points, + granule_size=(1661, 2585), + idx=0, + count=0, + total_windows=240, + boxes=None, + plot=True, +): + """ + Plot the points of the window reformatted on a squadre of size granule. + :param points: tuple + The coordinates of the current window, in the format (x1, y1, x2, y2) + :param granule_size: tuple + Size of the granule in pixels, in the format (height, width) + :return: count + The number of events in the granule + + """ + + (point1, point2, point3, point4) = points + # display a square of size granule_size: + granule = np.zeros((granule_size[0], granule_size[1])) + + if boxes is not None: + for box in boxes: + # Define coordinates of the polygon + polygon = np.array(box) + # Fill the polygon in the granule + granule = fill_polygon_in_granule(granule, polygon) + + # given the coordinates of the current window, in the format (x1, y1, x2, y2), take the window on granule: + granule_slided_window = granule[point1[1] : point3[1], point1[0] : point3[0]] + # prompt the number of 1 pixel of granule_slided_window: + area = np.count_nonzero(granule_slided_window) + + if area > 5: + count += 1 + + if plot: + # plot the granule: + plt.figure(figsize=(10, 10), dpi=300) + plt.imshow(granule, cmap="gray") + # plot the points: + plt.plot( + [point1[0], point2[0], point3[0], point4[0], point1[0]], + [point1[1], point2[1], point3[1], point4[1], point1[1]], + ) + # add title on right of the image, inside the image: + plt.title( + f"Window #:{idx+1}/{total_windows}, N.NotEvent:{total_windows-count}, N.Events:{count}" + ) + + # set visualisation at granule size area -100 pixels on each side: + plt.xlim(-100, granule_size[1] + 100) + plt.ylim(granule_size[0] + 100, -100) + + # save the figure: + plt.savefig("frames/window_{}.png".format(idx)) + # Close the figure to free up memory + plt.close() + return count + + +def get_granule_boxes(id_event, bbox_dict): + """ + Given a granule id, returns the bounding boxes of the events + in the granule. + :param id_event: int + id of the granule + :param bbox_dict: dict + dictionary of granule ids and event bounding boxes + :return: list + list of bounding boxes + """ + return literal_eval(bbox_dict[id_event]) + + +def parse_event(id_event, bbox_dict, plot=True): + """ + Parse an event given its id and a dictionary of bounding boxes. + + Parameters + ---------- + id_event : str + The id of the event to parse. + bbox_dict : dict + A dictionary of bounding boxes. + + Returns + ------- + result_dic : dict + A dictionary of granule ids and the number of events in each granule. + """ + result_dic = {} + + granule_boxes = get_granule_boxes(id_event, bbox_dict) + granule_idxs = list(granule_boxes.keys()) + print("Granule idxs:", granule_idxs) + for g_idx in granule_idxs: + bboxes = granule_boxes[g_idx] + + count = 0 + # get the points of the first window: + for idx in range(len(windows)): + points = windows[idx] + window_reformatted = pointsReformat(points) + # plot the points: + try: + count = plot_points( + points=window_reformatted, + granule_size=image_size, + idx=idx, + count=count, + total_windows=len(windows), + boxes=bboxes, + plot=plot, + ) + except ValueError: + count = plot_points( + points=window_reformatted, + granule_size=image_size, + idx=idx, + count=count, + total_windows=len(windows), + boxes=bboxes[0], + plot=plot, + ) + + result_dic[g_idx] = count + ### # create a gif with the windows by sliding the window on the granule: + # Create a GIF using the frames + if plot: + filenames = [f"frames/window_{x}.png" for x in range(len(windows))] + with imageio.get_writer( + f"gif/{id_event}_g{g_idx}_count_{count}.gif", mode="I", duration=1500 + ) as writer: + for filename in filenames: + image = imageio.imread(filename) + writer.append_data(image) + # Remove files: + for filename in set(filenames): + os.remove(filename) + + return result_dic + + +# get all the windows: +windows = list(sliding_window(image_size, overlap, windowSize)) +print("Number of windows per granule:", len(windows)) +N_windows = len(windows) + + +start_event = event_to_parse +start_index = events.index(start_event) + +# create a folder in study_analysis folder with the name of the configuration: +config_name = f"img_size_{image_size}_overlap_{overlap}_windowSize_{windowSize}" +os.makedirs(f"study_analysis/{config_name}", exist_ok=True) + + +for idx, event in enumerate(events[start_index : start_index + 1]): + print(f"Event {start_index}/{len(events)}:", event) + # if NE in event skip: + if "NE" in event: + result_dic = {0: 0} + continue + try: + result_dic = parse_event(event, bbox_dict, plot=plotter) + clear_output(wait=True) + print("result_dic:", result_dic) + except: + print("Error with event:", event) + break + + # save the result_dic in a csv file: + # the key is the granule idx while the value is the number of events in the granule, add a columns with the notevents = (len(windows)-events of the granule idx): + df = pd.DataFrame.from_dict(result_dic, orient="index", columns=["events"]) + df["not_events"] = N_windows - df["events"] + # add column event name: + df["event"] = event + # add column granule idx: + df["granule_idx"] = df.index + # save the df in a csv file: + df.to_csv(f"study_analysis/{config_name}/{event}_count.csv") diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Australia_1_count.csv new file mode 100644 index 0000000..6c86657 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,22,203,Australia_1,0 +1,93,132,Australia_1,1 +2,8,217,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_00_count.csv new file mode 100644 index 0000000..23be451 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,223,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_01_count.csv new file mode 100644 index 0000000..c929338 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,223,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_02_count.csv new file mode 100644 index 0000000..fba1842 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,223,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_10_count.csv new file mode 100644 index 0000000..efc05eb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,223,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_0_count.csv new file mode 100644 index 0000000..6351448 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,19,206,Bolivia_0,0 +1,15,210,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_1_count.csv new file mode 100644 index 0000000..0fd21a3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,221,Bolivia_1,0 +2,5,220,Bolivia_1,2 +5,9,216,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..ab797a4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,221,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..37927f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,221,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Copahue_20_count.csv new file mode 100644 index 0000000..a105298 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,224,Copahue_20,1 +5,1,224,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_00_count.csv new file mode 100644 index 0000000..7d17ded --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,6,219,Etna_00,2 +4,1,224,Etna_00,4 +5,3,222,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_01_count.csv new file mode 100644 index 0000000..beb089b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,219,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_02_count.csv new file mode 100644 index 0000000..4651cf4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,10,215,Etna_02,1 +2,2,223,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_03_count.csv new file mode 100644 index 0000000..594b774 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,213,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/France_0_count.csv new file mode 100644 index 0000000..db79f18 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,38,187,France_0,1 +2,1,224,France_0,2 +3,10,215,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_00_count.csv new file mode 100644 index 0000000..30bacb3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,3,222,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_01_count.csv new file mode 100644 index 0000000..12eb1a1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,223,Fuego_01,0 +3,2,223,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_02_count.csv new file mode 100644 index 0000000..9701ecc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,223,Fuego_02,0 +3,2,223,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_0_count.csv new file mode 100644 index 0000000..76dfcbd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,34,191,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_1_count.csv new file mode 100644 index 0000000..574cf52 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,22,203,Greece_1,1 +4,10,215,Greece_1,4 +5,2,223,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_2_count.csv new file mode 100644 index 0000000..7df4ac0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,219,Greece_2,0 +1,38,187,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_3_count.csv new file mode 100644 index 0000000..255ab92 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,5,220,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_4_count.csv new file mode 100644 index 0000000..d3781a2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,213,Greece_4,0 +2,6,219,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_5_count.csv new file mode 100644 index 0000000..e4b9b15 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,222,Greece_5,2 +3,18,207,Greece_5,3 +5,3,222,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greenland_0_count.csv new file mode 100644 index 0000000..a3321a0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,18,207,Greenland_0,0 +2,6,219,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Italy_0_count.csv new file mode 100644 index 0000000..9c9310e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,219,Italy_0,1 +6,7,218,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Karangetang_01_count.csv new file mode 100644 index 0000000..2aa0608 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,2,223,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Kenya_0_count.csv new file mode 100644 index 0000000..7ee4e2c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,38,187,Kenya_0,0 +2,17,208,Kenya_0,2 +3,2,223,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..687b00e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,221,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..1b471ef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,221,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..6dbcc48 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,5,220,Krysuvik-Trolladyngja_02,0 +3,3,222,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..b21d132 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,5,220,Krysuvik-Trolladyngja_03,0 +3,2,223,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_00_count.csv new file mode 100644 index 0000000..60a89ef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,9,216,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_02_count.csv new file mode 100644 index 0000000..a3eb573 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,209,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_0_count.csv new file mode 100644 index 0000000..40d1cdd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,221,Latvia_0,0 +1,2,223,Latvia_0,1 +3,0,225,Latvia_0,3 +4,0,225,Latvia_0,4 +5,2,223,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_1_count.csv new file mode 100644 index 0000000..3d7bdc6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,4,221,Latvia_1,5 +6,0,225,Latvia_1,6 +8,26,199,Latvia_1,8 +9,4,221,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_01_count.csv new file mode 100644 index 0000000..67e2328 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,7,218,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_02_count.csv new file mode 100644 index 0000000..ce9ed5b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,217,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mexico_0_count.csv new file mode 100644 index 0000000..c9ffd79 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,4,221,Mexico_0,1 +2,36,189,Mexico_0,2 +3,24,201,Mexico_0,3 +5,1,224,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..131be22 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,224,Nyamulagira_00,1 +5,6,219,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..06a577d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,1,224,Nyamulagira_01,1 +2,5,220,Nyamulagira_01,2 +5,4,221,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..1662eb1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,224,Nyamulagira_02,1 +5,2,223,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..f236786 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,223,Nyamulagira_03,0 +2,1,224,Nyamulagira_03,2 +5,3,222,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..a2b9f10 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,223,Nyamulagira_04,2 +5,5,220,Nyamulagira_04,5 +6,5,220,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..bdc622d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,6,219,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..abe23e7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,221,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..3b91dbd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,223,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..6a4bc11 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,221,Piton_de_la_Fournaise_02,0 +1,6,219,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..bd74233 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,221,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..a7f7b56 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,5,220,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..09c0786 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,219,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..00bbfe3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,13,212,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..07e1980 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,216,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Poas_00_count.csv new file mode 100644 index 0000000..c245489 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,223,Poas_00,2 +4,2,223,Poas_00,4 +5,1,224,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_10_count.csv new file mode 100644 index 0000000..6ffabe5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,221,Raung_10,0 +1,14,211,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_11_count.csv new file mode 100644 index 0000000..aa23fac --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,1,224,Raung_11,0 +1,7,218,Raung_11,1 +2,1,224,Raung_11,2 +3,3,222,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_12_count.csv new file mode 100644 index 0000000..c6af988 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,224,Raung_12,1 +2,4,221,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_10_count.csv new file mode 100644 index 0000000..ced48e2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,223,San_Miguel_10,1 +2,13,212,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_11_count.csv new file mode 100644 index 0000000..5d4d973 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,6,219,San_Miguel_11,1 +2,3,222,San_Miguel_11,2 +3,10,215,San_Miguel_11,3 +4,8,217,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_12_count.csv new file mode 100644 index 0000000..2975165 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,7,218,San_Miguel_12,1 +3,8,217,San_Miguel_12,3 +4,12,213,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_00_count.csv new file mode 100644 index 0000000..b0661bc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,221,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_01_count.csv new file mode 100644 index 0000000..8bfaacf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,223,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_10_count.csv new file mode 100644 index 0000000..b435ce1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,221,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_11_count.csv new file mode 100644 index 0000000..601295a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,223,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_12_count.csv new file mode 100644 index 0000000..cab7456 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,221,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_31_count.csv new file mode 100644 index 0000000..19eff7e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,221,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..c504580 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,225,Santa_Maria_00,0 +1,7,218,Santa_Maria_00,1 +2,5,220,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_2_count.csv new file mode 100644 index 0000000..7cfd8e0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,19,206,Spain_2,1 +2,10,215,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_5_count.csv new file mode 100644 index 0000000..8c51718 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,217,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_01_count.csv new file mode 100644 index 0000000..4929c93 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,221,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_02_count.csv new file mode 100644 index 0000000..7a47fd0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,223,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sweden_0_count.csv new file mode 100644 index 0000000..dc3dd5f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,11,214,Sweden_0,0 +2,16,209,Sweden_0,2 +3,17,208,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_00_count.csv new file mode 100644 index 0000000..7b8b67c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,221,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_02_count.csv new file mode 100644 index 0000000..176eabd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,222,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_00_count.csv new file mode 100644 index 0000000..93630b7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,224,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_01_count.csv new file mode 100644 index 0000000..1ef9a1b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,222,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_02_count.csv new file mode 100644 index 0000000..9ae5b56 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,223,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Ukraine_0_count.csv new file mode 100644 index 0000000..78ee143 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,20,205,Ukraine_0,1 +4,10,215,Ukraine_0,4 +5,4,221,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Australia_1_count.csv new file mode 100644 index 0000000..ebfdeb4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,11,38,Australia_1,0 +1,31,18,Australia_1,1 +2,3,46,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_00_count.csv new file mode 100644 index 0000000..4e08674 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,47,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_01_count.csv new file mode 100644 index 0000000..57b42b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,47,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_02_count.csv new file mode 100644 index 0000000..45bbdb6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,47,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_10_count.csv new file mode 100644 index 0000000..2f4b093 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,47,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_0_count.csv new file mode 100644 index 0000000..83c64a2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,41,Bolivia_0,0 +1,6,43,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_1_count.csv new file mode 100644 index 0000000..83b4442 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,47,Bolivia_1,0 +2,2,47,Bolivia_1,2 +5,4,45,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..88f8c0f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,47,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..daeaa7b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,47,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Copahue_20_count.csv new file mode 100644 index 0000000..014886a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,47,Copahue_20,1 +5,1,48,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_00_count.csv new file mode 100644 index 0000000..dd83093 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,45,Etna_00,2 +4,2,47,Etna_00,4 +5,3,46,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_01_count.csv new file mode 100644 index 0000000..f15131c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,47,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_02_count.csv new file mode 100644 index 0000000..50c620f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,3,46,Etna_02,1 +2,4,45,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_03_count.csv new file mode 100644 index 0000000..a8b4db7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/France_0_count.csv new file mode 100644 index 0000000..8b912d0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,14,35,France_0,1 +2,2,47,France_0,2 +3,4,45,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_00_count.csv new file mode 100644 index 0000000..0f01f7c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,45,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_01_count.csv new file mode 100644 index 0000000..d8c354a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,1,48,Fuego_01,0 +3,2,47,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_02_count.csv new file mode 100644 index 0000000..9f30d71 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,1,48,Fuego_02,0 +3,1,48,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_0_count.csv new file mode 100644 index 0000000..37a10db --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,11,38,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_1_count.csv new file mode 100644 index 0000000..84b1068 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,8,41,Greece_1,1 +4,5,44,Greece_1,4 +5,1,48,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_2_count.csv new file mode 100644 index 0000000..95195d6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,5,44,Greece_2,0 +1,13,36,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_3_count.csv new file mode 100644 index 0000000..0bd99ae --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,45,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_4_count.csv new file mode 100644 index 0000000..bbef20a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,45,Greece_4,0 +2,5,44,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_5_count.csv new file mode 100644 index 0000000..4e56aa1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,48,Greece_5,2 +3,10,39,Greece_5,3 +5,2,47,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greenland_0_count.csv new file mode 100644 index 0000000..add5df2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,41,Greenland_0,0 +2,4,45,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Italy_0_count.csv new file mode 100644 index 0000000..dcea965 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,43,Italy_0,1 +6,6,43,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Karangetang_01_count.csv new file mode 100644 index 0000000..a130dcd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,1,48,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Kenya_0_count.csv new file mode 100644 index 0000000..60f8d11 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,20,29,Kenya_0,0 +2,6,43,Kenya_0,2 +3,4,45,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..536ee45 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,45,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..da51991 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,45,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..2f0f4c0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,47,Krysuvik-Trolladyngja_02,0 +3,4,45,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..867d1b7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,47,Krysuvik-Trolladyngja_03,0 +3,4,45,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_00_count.csv new file mode 100644 index 0000000..3f9899a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,45,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_02_count.csv new file mode 100644 index 0000000..9df1fef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_0_count.csv new file mode 100644 index 0000000..85286cb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,45,Latvia_0,0 +1,2,47,Latvia_0,1 +3,0,49,Latvia_0,3 +4,0,49,Latvia_0,4 +5,2,47,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_1_count.csv new file mode 100644 index 0000000..f59b772 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,4,45,Latvia_1,5 +6,0,49,Latvia_1,6 +8,12,37,Latvia_1,8 +9,6,43,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_01_count.csv new file mode 100644 index 0000000..0c4f480 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,45,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_02_count.csv new file mode 100644 index 0000000..b97c73c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mexico_0_count.csv new file mode 100644 index 0000000..4bdef02 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,2,47,Mexico_0,1 +2,12,37,Mexico_0,2 +3,12,37,Mexico_0,3 +5,2,47,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..c60f302 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,47,Nyamulagira_00,1 +5,1,48,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..a0a6834 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,2,47,Nyamulagira_01,1 +2,3,46,Nyamulagira_01,2 +5,3,46,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..3eaee30 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,47,Nyamulagira_02,1 +5,1,48,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..cab85f5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,47,Nyamulagira_03,0 +2,1,48,Nyamulagira_03,2 +5,1,48,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..bdbe8d2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,47,Nyamulagira_04,2 +5,2,47,Nyamulagira_04,5 +6,1,48,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..1f811ac --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,2,47,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..ed9d6e1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,48,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..f1d4e84 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,47,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..53fef88 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,47,Piton_de_la_Fournaise_02,0 +1,2,47,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..3db5f31 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,47,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..a8f8f05 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,48,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..4650adc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,43,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..0594b0c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,3,46,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..56c53c9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,45,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Poas_00_count.csv new file mode 100644 index 0000000..84e091f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,45,Poas_00,2 +4,1,48,Poas_00,4 +5,1,48,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_10_count.csv new file mode 100644 index 0000000..fe221c1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,45,Raung_10,0 +1,6,43,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_11_count.csv new file mode 100644 index 0000000..1370e21 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,2,47,Raung_11,0 +1,5,44,Raung_11,1 +2,4,45,Raung_11,2 +3,3,46,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_12_count.csv new file mode 100644 index 0000000..24a7b63 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,47,Raung_12,1 +2,3,46,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_10_count.csv new file mode 100644 index 0000000..62ed0be --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,48,San_Miguel_10,1 +2,8,41,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_11_count.csv new file mode 100644 index 0000000..93f2177 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,7,42,San_Miguel_11,1 +2,5,44,San_Miguel_11,2 +3,4,45,San_Miguel_11,3 +4,5,44,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_12_count.csv new file mode 100644 index 0000000..5851a37 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,8,41,San_Miguel_12,1 +3,4,45,San_Miguel_12,3 +4,9,40,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_00_count.csv new file mode 100644 index 0000000..61f8a35 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,1,48,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_01_count.csv new file mode 100644 index 0000000..7df7b8f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,1,48,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_10_count.csv new file mode 100644 index 0000000..035dacf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,1,48,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_11_count.csv new file mode 100644 index 0000000..a6c3648 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,45,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_12_count.csv new file mode 100644 index 0000000..2d4e817 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,45,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_31_count.csv new file mode 100644 index 0000000..fe5f720 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,1,48,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..fcd0e0b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,49,Santa_Maria_00,0 +1,4,45,Santa_Maria_00,1 +2,4,45,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_2_count.csv new file mode 100644 index 0000000..f97c0d5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,41,Spain_2,1 +2,4,45,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_5_count.csv new file mode 100644 index 0000000..2992262 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,5,44,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_01_count.csv new file mode 100644 index 0000000..dfadbea --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,1,48,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_02_count.csv new file mode 100644 index 0000000..d719ffc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,47,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sweden_0_count.csv new file mode 100644 index 0000000..7be6eef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,5,44,Sweden_0,0 +2,9,40,Sweden_0,2 +3,10,39,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_00_count.csv new file mode 100644 index 0000000..1d1a053 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,47,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_02_count.csv new file mode 100644 index 0000000..9165ea7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,46,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_00_count.csv new file mode 100644 index 0000000..d16bb44 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,48,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_01_count.csv new file mode 100644 index 0000000..89366c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,48,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_02_count.csv new file mode 100644 index 0000000..37219d7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,48,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Ukraine_0_count.csv new file mode 100644 index 0000000..14b8e48 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(256, 256)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,10,39,Ukraine_0,1 +4,7,42,Ukraine_0,4 +5,1,48,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Australia_1_count.csv new file mode 100644 index 0000000..70a70b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,8,17,Australia_1,0 +1,22,3,Australia_1,1 +2,4,21,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_00_count.csv new file mode 100644 index 0000000..7e19083 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_01_count.csv new file mode 100644 index 0000000..a32fe6c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,1,24,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_02_count.csv new file mode 100644 index 0000000..ac21a80 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_10_count.csv new file mode 100644 index 0000000..223ebd4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_0_count.csv new file mode 100644 index 0000000..405478c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Bolivia_0,0 +1,5,20,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_1_count.csv new file mode 100644 index 0000000..5f82110 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,21,Bolivia_1,0 +2,2,23,Bolivia_1,2 +5,4,21,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..e51f871 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..c2fa733 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Copahue_20_count.csv new file mode 100644 index 0000000..8f84560 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,23,Copahue_20,1 +5,1,24,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_00_count.csv new file mode 100644 index 0000000..6cd5c16 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,23,Etna_00,2 +4,2,23,Etna_00,4 +5,5,20,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_01_count.csv new file mode 100644 index 0000000..45c55bb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_02_count.csv new file mode 100644 index 0000000..99461ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,17,Etna_02,1 +2,1,24,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_03_count.csv new file mode 100644 index 0000000..da2566e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/France_0_count.csv new file mode 100644 index 0000000..9156724 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,10,15,France_0,1 +2,1,24,France_0,2 +3,2,23,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_00_count.csv new file mode 100644 index 0000000..183f4af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,2,23,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_01_count.csv new file mode 100644 index 0000000..d3a510f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Fuego_01,0 +3,4,21,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_02_count.csv new file mode 100644 index 0000000..e7f9f3a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Fuego_02,0 +3,2,23,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_0_count.csv new file mode 100644 index 0000000..e1cdc7e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,11,14,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_1_count.csv new file mode 100644 index 0000000..60a11d7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,5,20,Greece_1,1 +4,2,23,Greece_1,4 +5,1,24,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_2_count.csv new file mode 100644 index 0000000..89832e8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Greece_2,0 +1,9,16,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_3_count.csv new file mode 100644 index 0000000..ed0931d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_4_count.csv new file mode 100644 index 0000000..2a8697a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Greece_4,0 +2,2,23,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_5_count.csv new file mode 100644 index 0000000..f465200 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,24,Greece_5,2 +3,9,16,Greece_5,3 +5,2,23,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greenland_0_count.csv new file mode 100644 index 0000000..cc558ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Greenland_0,0 +2,4,21,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Italy_0_count.csv new file mode 100644 index 0000000..380d94c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,5,20,Italy_0,1 +6,5,20,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Karangetang_01_count.csv new file mode 100644 index 0000000..55d967d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Kenya_0_count.csv new file mode 100644 index 0000000..5a40954 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,15,10,Kenya_0,0 +2,6,19,Kenya_0,2 +3,1,24,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..240ab37 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,3,22,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..2b67169 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..fa8f513 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_02,0 +3,2,23,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..65ce934 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_03,0 +3,2,23,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_00_count.csv new file mode 100644 index 0000000..0346d78 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_02_count.csv new file mode 100644 index 0000000..e1949f4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_0_count.csv new file mode 100644 index 0000000..e56c019 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,21,Latvia_0,0 +1,2,23,Latvia_0,1 +3,0,25,Latvia_0,3 +4,0,25,Latvia_0,4 +5,2,23,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_1_count.csv new file mode 100644 index 0000000..6cec312 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,2,23,Latvia_1,5 +6,0,25,Latvia_1,6 +8,10,15,Latvia_1,8 +9,3,22,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_01_count.csv new file mode 100644 index 0000000..00a4fec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_02_count.csv new file mode 100644 index 0000000..5280c75 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mexico_0_count.csv new file mode 100644 index 0000000..f6b4e6c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,2,23,Mexico_0,1 +2,6,19,Mexico_0,2 +3,11,14,Mexico_0,3 +5,1,24,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..ad7005c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,24,Nyamulagira_00,1 +5,4,21,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..25ea5ca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,1,24,Nyamulagira_01,1 +2,2,23,Nyamulagira_01,2 +5,5,20,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..58c1fde --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,24,Nyamulagira_02,1 +5,2,23,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..6a98e70 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,1,24,Nyamulagira_03,0 +2,1,24,Nyamulagira_03,2 +5,2,23,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..6afd36b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,22,Nyamulagira_04,2 +5,4,21,Nyamulagira_04,5 +6,2,23,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..cb8b445 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,4,21,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..cebe746 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,24,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..e73f841 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..b4542c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Piton_de_la_Fournaise_02,0 +1,2,23,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..96cc804 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..71be834 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,24,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..261e6fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..4f2fa4c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,19,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..6f6545f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Poas_00_count.csv new file mode 100644 index 0000000..a5e9e57 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,24,Poas_00,2 +4,4,21,Poas_00,4 +5,2,23,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_10_count.csv new file mode 100644 index 0000000..c58e12d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,1,24,Raung_10,0 +1,6,19,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_11_count.csv new file mode 100644 index 0000000..5e94894 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,2,23,Raung_11,0 +1,4,21,Raung_11,1 +2,1,24,Raung_11,2 +3,2,23,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_12_count.csv new file mode 100644 index 0000000..8ef75db --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,23,Raung_12,1 +2,4,21,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_10_count.csv new file mode 100644 index 0000000..8de3d18 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,21,San_Miguel_10,1 +2,6,19,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_11_count.csv new file mode 100644 index 0000000..ed2a7d4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,5,20,San_Miguel_11,1 +2,3,22,San_Miguel_11,2 +3,4,21,San_Miguel_11,3 +4,6,19,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_12_count.csv new file mode 100644 index 0000000..cba4384 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,16,San_Miguel_12,1 +3,5,20,San_Miguel_12,3 +4,8,17,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_00_count.csv new file mode 100644 index 0000000..352e634 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,2,23,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_01_count.csv new file mode 100644 index 0000000..7417717 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_10_count.csv new file mode 100644 index 0000000..948751f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_11_count.csv new file mode 100644 index 0000000..fe13642 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_12_count.csv new file mode 100644 index 0000000..dfcd335 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_31_count.csv new file mode 100644 index 0000000..5f27119 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..0691ec1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,25,Santa_Maria_00,0 +1,7,18,Santa_Maria_00,1 +2,5,20,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_2_count.csv new file mode 100644 index 0000000..02de611 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,19,Spain_2,1 +2,3,22,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_5_count.csv new file mode 100644 index 0000000..4c541f8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_01_count.csv new file mode 100644 index 0000000..ebaeda8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_02_count.csv new file mode 100644 index 0000000..7e17955 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sweden_0_count.csv new file mode 100644 index 0000000..317b261 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,21,Sweden_0,0 +2,5,20,Sweden_0,2 +3,7,18,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_00_count.csv new file mode 100644 index 0000000..0bfe42e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_02_count.csv new file mode 100644 index 0000000..c00f7af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_00_count.csv new file mode 100644 index 0000000..2c96649 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_01_count.csv new file mode 100644 index 0000000..50ffe3a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_02_count.csv new file mode 100644 index 0000000..1ca44d5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Ukraine_0_count.csv new file mode 100644 index 0000000..8315648 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(384, 384)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,16,Ukraine_0,1 +4,5,20,Ukraine_0,4 +5,2,23,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Australia_1_count.csv new file mode 100644 index 0000000..79da1ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,10,Australia_1,0 +1,15,1,Australia_1,1 +2,6,10,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_00_count.csv new file mode 100644 index 0000000..259ec57 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,12,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_01_count.csv new file mode 100644 index 0000000..897bc0e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_02_count.csv new file mode 100644 index 0000000..e242f51 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_10_count.csv new file mode 100644 index 0000000..90f9497 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_0_count.csv new file mode 100644 index 0000000..520915d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,10,Bolivia_0,0 +1,2,14,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_1_count.csv new file mode 100644 index 0000000..3be9a23 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,12,Bolivia_1,0 +2,2,14,Bolivia_1,2 +5,4,12,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..f169690 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..e58a1af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Copahue_20_count.csv new file mode 100644 index 0000000..e65abe5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,14,Copahue_20,1 +5,1,15,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_00_count.csv new file mode 100644 index 0000000..a7dfb91 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,15,Etna_00,2 +4,4,12,Etna_00,4 +5,5,11,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_01_count.csv new file mode 100644 index 0000000..752b13c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_02_count.csv new file mode 100644 index 0000000..89a3b31 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,8,Etna_02,1 +2,4,12,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_03_count.csv new file mode 100644 index 0000000..d5279d1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/France_0_count.csv new file mode 100644 index 0000000..de7331d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,7,France_0,1 +2,1,15,France_0,2 +3,3,13,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_00_count.csv new file mode 100644 index 0000000..c6f4f4d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,2,14,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_01_count.csv new file mode 100644 index 0000000..68f5d78 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Fuego_01,0 +3,4,12,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_02_count.csv new file mode 100644 index 0000000..18af146 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Fuego_02,0 +3,4,12,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_0_count.csv new file mode 100644 index 0000000..050108b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,8,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_1_count.csv new file mode 100644 index 0000000..89684a5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,4,12,Greece_1,1 +4,2,14,Greece_1,4 +5,1,15,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_2_count.csv new file mode 100644 index 0000000..87dd19e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Greece_2,0 +1,8,8,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_3_count.csv new file mode 100644 index 0000000..c637ab8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,2,14,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_4_count.csv new file mode 100644 index 0000000..8821408 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Greece_4,0 +2,2,14,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_5_count.csv new file mode 100644 index 0000000..ee5f0f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,15,Greece_5,2 +3,8,8,Greece_5,3 +5,2,14,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greenland_0_count.csv new file mode 100644 index 0000000..f6e23fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,5,11,Greenland_0,0 +2,4,12,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Italy_0_count.csv new file mode 100644 index 0000000..9c10e97 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,3,13,Italy_0,1 +6,3,13,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Karangetang_01_count.csv new file mode 100644 index 0000000..37b198b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,12,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Kenya_0_count.csv new file mode 100644 index 0000000..1ae74cf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,13,3,Kenya_0,0 +2,3,13,Kenya_0,2 +3,2,14,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..80c565e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..93417fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..e7f21c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Krysuvik-Trolladyngja_02,0 +3,2,14,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..10773d8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Krysuvik-Trolladyngja_03,0 +3,2,14,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_00_count.csv new file mode 100644 index 0000000..43ad38f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,12,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_02_count.csv new file mode 100644 index 0000000..17946c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_0_count.csv new file mode 100644 index 0000000..15f635f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,12,Latvia_0,0 +1,2,14,Latvia_0,1 +3,0,16,Latvia_0,3 +4,0,16,Latvia_0,4 +5,1,15,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_1_count.csv new file mode 100644 index 0000000..5ab24e9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,1,15,Latvia_1,5 +6,0,16,Latvia_1,6 +8,10,6,Latvia_1,8 +9,2,14,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_01_count.csv new file mode 100644 index 0000000..85002ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_02_count.csv new file mode 100644 index 0000000..9ee1446 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mexico_0_count.csv new file mode 100644 index 0000000..0172400 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,1,15,Mexico_0,1 +2,6,10,Mexico_0,2 +3,8,8,Mexico_0,3 +5,1,15,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..2b49816 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,15,Nyamulagira_00,1 +5,4,12,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..fad0bd4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,1,15,Nyamulagira_01,1 +2,2,14,Nyamulagira_01,2 +5,4,12,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..1cf6b4b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,15,Nyamulagira_02,1 +5,2,14,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..069826d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,1,15,Nyamulagira_03,0 +2,2,14,Nyamulagira_03,2 +5,4,12,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..c3c8b2b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,13,Nyamulagira_04,2 +5,2,14,Nyamulagira_04,5 +6,2,14,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..315ab4a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,2,14,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..a1809f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..595d7e6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..d985359 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Piton_de_la_Fournaise_02,0 +1,2,14,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..0ff146c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..6b1867d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..5c330fe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,3,13,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..3e83980 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,10,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..0f545ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Poas_00_count.csv new file mode 100644 index 0000000..6d55ff8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,12,Poas_00,2 +4,2,14,Poas_00,4 +5,2,14,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_10_count.csv new file mode 100644 index 0000000..bc545b2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Raung_10,0 +1,5,11,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_11_count.csv new file mode 100644 index 0000000..f30f7eb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,4,12,Raung_11,0 +1,8,8,Raung_11,1 +2,2,14,Raung_11,2 +3,2,14,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_12_count.csv new file mode 100644 index 0000000..5ae8417 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,14,Raung_12,1 +2,5,11,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_10_count.csv new file mode 100644 index 0000000..1647dc4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,14,San_Miguel_10,1 +2,9,7,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_11_count.csv new file mode 100644 index 0000000..db6318c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,5,11,San_Miguel_11,1 +2,8,8,San_Miguel_11,2 +3,9,7,San_Miguel_11,3 +4,5,11,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_12_count.csv new file mode 100644 index 0000000..fca25a6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,8,8,San_Miguel_12,1 +3,8,8,San_Miguel_12,3 +4,10,6,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_00_count.csv new file mode 100644 index 0000000..b390e90 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,12,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_01_count.csv new file mode 100644 index 0000000..67424ee --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_10_count.csv new file mode 100644 index 0000000..4005e0d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,14,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_11_count.csv new file mode 100644 index 0000000..9acc183 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_12_count.csv new file mode 100644 index 0000000..20efb12 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_31_count.csv new file mode 100644 index 0000000..40c9e75 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,14,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..2465297 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,16,Santa_Maria_00,0 +1,6,10,Santa_Maria_00,1 +2,5,11,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_2_count.csv new file mode 100644 index 0000000..c2fd281 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,10,Spain_2,1 +2,2,14,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_5_count.csv new file mode 100644 index 0000000..650fc9c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_01_count.csv new file mode 100644 index 0000000..520d87f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,12,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_02_count.csv new file mode 100644 index 0000000..a79ed7d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sweden_0_count.csv new file mode 100644 index 0000000..2c677bd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,12,Sweden_0,0 +2,5,11,Sweden_0,2 +3,8,8,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_00_count.csv new file mode 100644 index 0000000..736b49c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_02_count.csv new file mode 100644 index 0000000..e7c8d11 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,5,11,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_00_count.csv new file mode 100644 index 0000000..4f23fc1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_01_count.csv new file mode 100644 index 0000000..91b86c3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_02_count.csv new file mode 100644 index 0000000..90c51b5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Ukraine_0_count.csv new file mode 100644 index 0000000..cb13ea1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,7,Ukraine_0,1 +4,5,11,Ukraine_0,4 +5,2,14,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Australia_1_count.csv new file mode 100644 index 0000000..f371c54 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,23,233,Australia_1,0 +1,108,148,Australia_1,1 +2,12,244,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_00_count.csv new file mode 100644 index 0000000..d4daf44 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,252,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_01_count.csv new file mode 100644 index 0000000..aaeae6b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,254,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_02_count.csv new file mode 100644 index 0000000..db46237 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,254,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_10_count.csv new file mode 100644 index 0000000..3b42ee5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,254,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_0_count.csv new file mode 100644 index 0000000..3bc6d8d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,21,235,Bolivia_0,0 +1,17,239,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_1_count.csv new file mode 100644 index 0000000..cc6385a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,250,Bolivia_1,0 +2,6,250,Bolivia_1,2 +5,8,248,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..d8931b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,253,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..1e83b9c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,254,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Copahue_20_count.csv new file mode 100644 index 0000000..0f86ac1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,255,Copahue_20,1 +5,1,255,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_00_count.csv new file mode 100644 index 0000000..fc426d2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,8,248,Etna_00,2 +4,2,254,Etna_00,4 +5,3,253,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_01_count.csv new file mode 100644 index 0000000..cbc5d53 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,5,251,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_02_count.csv new file mode 100644 index 0000000..2cd66bd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,13,243,Etna_02,1 +2,1,255,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_03_count.csv new file mode 100644 index 0000000..7994d96 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,10,246,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/France_0_count.csv new file mode 100644 index 0000000..1c0636d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,39,217,France_0,1 +2,1,255,France_0,2 +3,8,248,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_00_count.csv new file mode 100644 index 0000000..d866b2c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,3,253,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_01_count.csv new file mode 100644 index 0000000..3ed262c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,254,Fuego_01,0 +3,4,252,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_02_count.csv new file mode 100644 index 0000000..23feb8e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,254,Fuego_02,0 +3,4,252,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_0_count.csv new file mode 100644 index 0000000..01007be --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,40,216,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_1_count.csv new file mode 100644 index 0000000..40a54d7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,25,231,Greece_1,1 +4,11,245,Greece_1,4 +5,2,254,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_2_count.csv new file mode 100644 index 0000000..0cc1b4d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,248,Greece_2,0 +1,43,213,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_3_count.csv new file mode 100644 index 0000000..030f66c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,250,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_4_count.csv new file mode 100644 index 0000000..4ddc529 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,14,242,Greece_4,0 +2,6,250,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_5_count.csv new file mode 100644 index 0000000..d39677e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,252,Greece_5,2 +3,17,239,Greece_5,3 +5,3,253,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greenland_0_count.csv new file mode 100644 index 0000000..c4b4ae3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,22,234,Greenland_0,0 +2,9,247,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Italy_0_count.csv new file mode 100644 index 0000000..1a9fcc7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,248,Italy_0,1 +6,8,248,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Karangetang_01_count.csv new file mode 100644 index 0000000..a765ae4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,2,254,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Kenya_0_count.csv new file mode 100644 index 0000000..938f19b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,42,214,Kenya_0,0 +2,19,237,Kenya_0,2 +3,2,254,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..097c185 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,250,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..5401c2e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,252,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..3d0aed0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,5,251,Krysuvik-Trolladyngja_02,0 +3,3,253,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..81181af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,248,Krysuvik-Trolladyngja_03,0 +3,2,254,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_00_count.csv new file mode 100644 index 0000000..a303c8a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,11,245,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_02_count.csv new file mode 100644 index 0000000..5c516d2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,21,235,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_0_count.csv new file mode 100644 index 0000000..dbcd6c6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,6,250,Latvia_0,0 +1,3,253,Latvia_0,1 +3,0,256,Latvia_0,3 +4,0,256,Latvia_0,4 +5,3,253,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_1_count.csv new file mode 100644 index 0000000..1d0a732 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,6,250,Latvia_1,5 +6,0,256,Latvia_1,6 +8,28,228,Latvia_1,8 +9,4,252,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_01_count.csv new file mode 100644 index 0000000..ff62075 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,247,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_02_count.csv new file mode 100644 index 0000000..f012e78 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,11,245,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mexico_0_count.csv new file mode 100644 index 0000000..65d83b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,4,252,Mexico_0,1 +2,39,217,Mexico_0,2 +3,28,228,Mexico_0,3 +5,1,255,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..f378813 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,255,Nyamulagira_00,1 +5,9,247,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..91f207d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,1,255,Nyamulagira_01,1 +2,8,248,Nyamulagira_01,2 +5,5,251,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..7682fe4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,255,Nyamulagira_02,1 +5,2,254,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..ebab96d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,254,Nyamulagira_03,0 +2,2,254,Nyamulagira_03,2 +5,4,252,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..b7731f7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,252,Nyamulagira_04,2 +5,4,252,Nyamulagira_04,5 +6,4,252,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..1dcdbc1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,8,248,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..d908834 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,252,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..0d381d5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,252,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..11239e7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,250,Piton_de_la_Fournaise_02,0 +1,6,250,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..791821d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,252,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..c5cb1fe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,5,251,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..0ccaf00 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,10,246,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..d9a454f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,12,244,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..6bfcea8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,247,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Poas_00_count.csv new file mode 100644 index 0000000..74ba0e6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,255,Poas_00,2 +4,4,252,Poas_00,4 +5,2,254,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_10_count.csv new file mode 100644 index 0000000..0e5adc0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,254,Raung_10,0 +1,7,249,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_11_count.csv new file mode 100644 index 0000000..fa44747 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,2,254,Raung_11,0 +1,4,252,Raung_11,1 +2,1,255,Raung_11,2 +3,3,253,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_12_count.csv new file mode 100644 index 0000000..ac6c96a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,254,Raung_12,1 +2,6,250,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_10_count.csv new file mode 100644 index 0000000..369636e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,254,San_Miguel_10,1 +2,13,243,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_11_count.csv new file mode 100644 index 0000000..148d4f4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,6,250,San_Miguel_11,1 +2,3,253,San_Miguel_11,2 +3,4,252,San_Miguel_11,3 +4,6,250,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_12_count.csv new file mode 100644 index 0000000..ea0bdbc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,247,San_Miguel_12,1 +3,6,250,San_Miguel_12,3 +4,7,249,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_00_count.csv new file mode 100644 index 0000000..604f479 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,252,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_01_count.csv new file mode 100644 index 0000000..fa3704e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,252,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_10_count.csv new file mode 100644 index 0000000..10b928f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,252,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_11_count.csv new file mode 100644 index 0000000..5937cb6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,254,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_12_count.csv new file mode 100644 index 0000000..b716799 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,252,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_31_count.csv new file mode 100644 index 0000000..f373833 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,254,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..98bc77d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,256,Santa_Maria_00,0 +1,10,246,Santa_Maria_00,1 +2,7,249,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_2_count.csv new file mode 100644 index 0000000..c2b2277 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,19,237,Spain_2,1 +2,10,246,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_5_count.csv new file mode 100644 index 0000000..a8b975c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,248,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_01_count.csv new file mode 100644 index 0000000..bcbd791 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,254,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_02_count.csv new file mode 100644 index 0000000..561a543 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,252,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sweden_0_count.csv new file mode 100644 index 0000000..94334ba --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,11,245,Sweden_0,0 +2,19,237,Sweden_0,2 +3,20,236,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_00_count.csv new file mode 100644 index 0000000..a62ff79 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,254,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_02_count.csv new file mode 100644 index 0000000..a8a07d1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,250,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_00_count.csv new file mode 100644 index 0000000..a014999 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,252,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_01_count.csv new file mode 100644 index 0000000..f16cadd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,252,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_02_count.csv new file mode 100644 index 0000000..a27c139 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,252,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Ukraine_0_count.csv new file mode 100644 index 0000000..84c3bd3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(128, 128)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,23,233,Ukraine_0,1 +4,11,245,Ukraine_0,4 +5,6,250,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Australia_1_count.csv new file mode 100644 index 0000000..7a29837 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,15,49,Australia_1,0 +1,43,21,Australia_1,1 +2,6,58,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_00_count.csv new file mode 100644 index 0000000..efea1fb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,62,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_01_count.csv new file mode 100644 index 0000000..f41a876 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,62,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_02_count.csv new file mode 100644 index 0000000..b5fb801 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,62,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_10_count.csv new file mode 100644 index 0000000..bcf2cef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,63,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_0_count.csv new file mode 100644 index 0000000..c6bdf82 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,11,53,Bolivia_0,0 +1,6,58,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_1_count.csv new file mode 100644 index 0000000..12be0b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,3,61,Bolivia_1,0 +2,2,62,Bolivia_1,2 +5,6,58,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..db84709 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,62,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..ce9959e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,62,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Copahue_20_count.csv new file mode 100644 index 0000000..1ba4f80 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,60,Copahue_20,1 +5,1,63,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_00_count.csv new file mode 100644 index 0000000..b798aca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,60,Etna_00,2 +4,1,63,Etna_00,4 +5,6,58,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_01_count.csv new file mode 100644 index 0000000..66ed416 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,62,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_02_count.csv new file mode 100644 index 0000000..bad6b2d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,10,54,Etna_02,1 +2,4,60,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_03_count.csv new file mode 100644 index 0000000..d1bda13 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,55,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/France_0_count.csv new file mode 100644 index 0000000..9148751 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,21,43,France_0,1 +2,2,62,France_0,2 +3,5,59,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_00_count.csv new file mode 100644 index 0000000..18483a5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,60,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_01_count.csv new file mode 100644 index 0000000..f1b79cb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,1,63,Fuego_01,0 +3,4,60,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_02_count.csv new file mode 100644 index 0000000..537df65 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,1,63,Fuego_02,0 +3,2,62,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_0_count.csv new file mode 100644 index 0000000..f54efb0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,17,47,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_1_count.csv new file mode 100644 index 0000000..faab46a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,11,53,Greece_1,1 +4,6,58,Greece_1,4 +5,1,63,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_2_count.csv new file mode 100644 index 0000000..349a35d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,58,Greece_2,0 +1,19,45,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_3_count.csv new file mode 100644 index 0000000..41e9145 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,60,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_4_count.csv new file mode 100644 index 0000000..0733aef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,58,Greece_4,0 +2,6,58,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_5_count.csv new file mode 100644 index 0000000..5992246 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,63,Greece_5,2 +3,15,49,Greece_5,3 +5,3,61,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greenland_0_count.csv new file mode 100644 index 0000000..d8d2ee6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,52,Greenland_0,0 +2,6,58,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Italy_0_count.csv new file mode 100644 index 0000000..c8f6a4a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,58,Italy_0,1 +6,6,58,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Karangetang_01_count.csv new file mode 100644 index 0000000..bf023ac --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,2,62,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Kenya_0_count.csv new file mode 100644 index 0000000..ecc025a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,25,39,Kenya_0,0 +2,6,58,Kenya_0,2 +3,4,60,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..d066873 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,60,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..9e497c5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,60,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..ac22bf6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,62,Krysuvik-Trolladyngja_02,0 +3,4,60,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..6caf169 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,60,Krysuvik-Trolladyngja_03,0 +3,4,60,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_00_count.csv new file mode 100644 index 0000000..c9ca895 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,60,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_02_count.csv new file mode 100644 index 0000000..3f66b51 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,11,53,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_0_count.csv new file mode 100644 index 0000000..cc31527 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,60,Latvia_0,0 +1,3,61,Latvia_0,1 +3,0,64,Latvia_0,3 +4,0,64,Latvia_0,4 +5,2,62,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_1_count.csv new file mode 100644 index 0000000..0d41b6b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,4,60,Latvia_1,5 +6,0,64,Latvia_1,6 +8,21,43,Latvia_1,8 +9,6,58,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_01_count.csv new file mode 100644 index 0000000..a66d891 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_02_count.csv new file mode 100644 index 0000000..cac9583 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mexico_0_count.csv new file mode 100644 index 0000000..ac459f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,2,62,Mexico_0,1 +2,14,50,Mexico_0,2 +3,17,47,Mexico_0,3 +5,2,62,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..47ddfdd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,62,Nyamulagira_00,1 +5,4,60,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..00615c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,2,62,Nyamulagira_01,1 +2,4,60,Nyamulagira_01,2 +5,4,60,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..8888887 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,62,Nyamulagira_02,1 +5,4,60,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..ddf0bec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,62,Nyamulagira_03,0 +2,2,62,Nyamulagira_03,2 +5,2,62,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..c451f95 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,60,Nyamulagira_04,2 +5,4,60,Nyamulagira_04,5 +6,2,62,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..e09174d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,4,60,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..e6b0307 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,62,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..1f3dd1d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..f3ccb1c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,62,Piton_de_la_Fournaise_02,0 +1,3,61,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..1a52a22 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..57375f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..d107d9f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,58,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..81aacec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,56,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..5c0b262 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,58,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Poas_00_count.csv new file mode 100644 index 0000000..3e518da --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,60,Poas_00,2 +4,2,62,Poas_00,4 +5,4,60,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_10_count.csv new file mode 100644 index 0000000..87018d1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,62,Raung_10,0 +1,8,56,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_11_count.csv new file mode 100644 index 0000000..adc6f13 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,4,60,Raung_11,0 +1,8,56,Raung_11,1 +2,4,60,Raung_11,2 +3,4,60,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_12_count.csv new file mode 100644 index 0000000..7ba9345 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,60,Raung_12,1 +2,6,58,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_10_count.csv new file mode 100644 index 0000000..eb5c7d9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,62,San_Miguel_10,1 +2,9,55,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_11_count.csv new file mode 100644 index 0000000..702ff63 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,4,60,San_Miguel_11,1 +2,6,58,San_Miguel_11,2 +3,8,56,San_Miguel_11,3 +4,9,55,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_12_count.csv new file mode 100644 index 0000000..6df3a2c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,10,54,San_Miguel_12,1 +3,4,60,San_Miguel_12,3 +4,8,56,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_00_count.csv new file mode 100644 index 0000000..547682c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,1,63,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_01_count.csv new file mode 100644 index 0000000..200431f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,62,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_10_count.csv new file mode 100644 index 0000000..5eb55f4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,62,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_11_count.csv new file mode 100644 index 0000000..43e1a24 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,62,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_12_count.csv new file mode 100644 index 0000000..6752348 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,60,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_31_count.csv new file mode 100644 index 0000000..6ca20fc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,62,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..4f60f8f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,64,Santa_Maria_00,0 +1,6,58,Santa_Maria_00,1 +2,8,56,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_2_count.csv new file mode 100644 index 0000000..506f5cd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,10,54,Spain_2,1 +2,5,59,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_5_count.csv new file mode 100644 index 0000000..d6cb814 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,58,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_01_count.csv new file mode 100644 index 0000000..3e20637 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,60,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_02_count.csv new file mode 100644 index 0000000..087609c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,60,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sweden_0_count.csv new file mode 100644 index 0000000..c668d31 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,7,57,Sweden_0,0 +2,9,55,Sweden_0,2 +3,15,49,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_00_count.csv new file mode 100644 index 0000000..4139e81 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,62,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_02_count.csv new file mode 100644 index 0000000..81b9bb4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,61,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_00_count.csv new file mode 100644 index 0000000..f6ddd37 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_01_count.csv new file mode 100644 index 0000000..7e8581f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,60,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_02_count.csv new file mode 100644 index 0000000..775dd67 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,62,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Ukraine_0_count.csv new file mode 100644 index 0000000..290cc5f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,12,52,Ukraine_0,1 +4,10,54,Ukraine_0,4 +5,2,62,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Australia_1_count.csv new file mode 100644 index 0000000..70a70b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,8,17,Australia_1,0 +1,22,3,Australia_1,1 +2,4,21,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_00_count.csv new file mode 100644 index 0000000..7e19083 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_01_count.csv new file mode 100644 index 0000000..a32fe6c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,1,24,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_02_count.csv new file mode 100644 index 0000000..ac21a80 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_10_count.csv new file mode 100644 index 0000000..223ebd4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_0_count.csv new file mode 100644 index 0000000..405478c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Bolivia_0,0 +1,5,20,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_1_count.csv new file mode 100644 index 0000000..5f82110 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,21,Bolivia_1,0 +2,2,23,Bolivia_1,2 +5,4,21,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..e51f871 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..c2fa733 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Copahue_20_count.csv new file mode 100644 index 0000000..8f84560 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,23,Copahue_20,1 +5,1,24,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_00_count.csv new file mode 100644 index 0000000..6cd5c16 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,23,Etna_00,2 +4,2,23,Etna_00,4 +5,5,20,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_01_count.csv new file mode 100644 index 0000000..45c55bb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_02_count.csv new file mode 100644 index 0000000..99461ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,17,Etna_02,1 +2,1,24,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_03_count.csv new file mode 100644 index 0000000..da2566e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/France_0_count.csv new file mode 100644 index 0000000..9156724 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,10,15,France_0,1 +2,1,24,France_0,2 +3,2,23,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_00_count.csv new file mode 100644 index 0000000..183f4af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,2,23,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_01_count.csv new file mode 100644 index 0000000..d3a510f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Fuego_01,0 +3,4,21,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_02_count.csv new file mode 100644 index 0000000..e7f9f3a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Fuego_02,0 +3,2,23,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_0_count.csv new file mode 100644 index 0000000..e1cdc7e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,11,14,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_1_count.csv new file mode 100644 index 0000000..60a11d7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,5,20,Greece_1,1 +4,2,23,Greece_1,4 +5,1,24,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_2_count.csv new file mode 100644 index 0000000..89832e8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Greece_2,0 +1,9,16,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_3_count.csv new file mode 100644 index 0000000..ed0931d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_4_count.csv new file mode 100644 index 0000000..2a8697a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Greece_4,0 +2,2,23,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_5_count.csv new file mode 100644 index 0000000..f465200 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,24,Greece_5,2 +3,9,16,Greece_5,3 +5,2,23,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greenland_0_count.csv new file mode 100644 index 0000000..cc558ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Greenland_0,0 +2,4,21,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Italy_0_count.csv new file mode 100644 index 0000000..380d94c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,5,20,Italy_0,1 +6,5,20,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Karangetang_01_count.csv new file mode 100644 index 0000000..55d967d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Kenya_0_count.csv new file mode 100644 index 0000000..5a40954 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,15,10,Kenya_0,0 +2,6,19,Kenya_0,2 +3,1,24,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..240ab37 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,3,22,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..2b67169 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..fa8f513 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_02,0 +3,2,23,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..65ce934 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_03,0 +3,2,23,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_00_count.csv new file mode 100644 index 0000000..0346d78 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_02_count.csv new file mode 100644 index 0000000..e1949f4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_0_count.csv new file mode 100644 index 0000000..e56c019 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,21,Latvia_0,0 +1,2,23,Latvia_0,1 +3,0,25,Latvia_0,3 +4,0,25,Latvia_0,4 +5,2,23,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_1_count.csv new file mode 100644 index 0000000..6cec312 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,2,23,Latvia_1,5 +6,0,25,Latvia_1,6 +8,10,15,Latvia_1,8 +9,3,22,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_01_count.csv new file mode 100644 index 0000000..00a4fec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_02_count.csv new file mode 100644 index 0000000..5280c75 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mexico_0_count.csv new file mode 100644 index 0000000..f6b4e6c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,2,23,Mexico_0,1 +2,6,19,Mexico_0,2 +3,11,14,Mexico_0,3 +5,1,24,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..ad7005c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,24,Nyamulagira_00,1 +5,4,21,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..25ea5ca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,1,24,Nyamulagira_01,1 +2,2,23,Nyamulagira_01,2 +5,5,20,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..58c1fde --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,24,Nyamulagira_02,1 +5,2,23,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..6a98e70 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,1,24,Nyamulagira_03,0 +2,1,24,Nyamulagira_03,2 +5,2,23,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..6afd36b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,22,Nyamulagira_04,2 +5,4,21,Nyamulagira_04,5 +6,2,23,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..cb8b445 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,4,21,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..cebe746 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,24,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..e73f841 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..b4542c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Piton_de_la_Fournaise_02,0 +1,2,23,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..96cc804 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..71be834 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,1,24,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..261e6fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..4f2fa4c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,19,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..6f6545f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Poas_00_count.csv new file mode 100644 index 0000000..a5e9e57 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,24,Poas_00,2 +4,4,21,Poas_00,4 +5,2,23,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_10_count.csv new file mode 100644 index 0000000..c58e12d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,1,24,Raung_10,0 +1,6,19,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_11_count.csv new file mode 100644 index 0000000..5e94894 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,2,23,Raung_11,0 +1,4,21,Raung_11,1 +2,1,24,Raung_11,2 +3,2,23,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_12_count.csv new file mode 100644 index 0000000..8ef75db --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,23,Raung_12,1 +2,4,21,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_10_count.csv new file mode 100644 index 0000000..8de3d18 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,21,San_Miguel_10,1 +2,6,19,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_11_count.csv new file mode 100644 index 0000000..ed2a7d4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,5,20,San_Miguel_11,1 +2,3,22,San_Miguel_11,2 +3,4,21,San_Miguel_11,3 +4,6,19,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_12_count.csv new file mode 100644 index 0000000..cba4384 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,16,San_Miguel_12,1 +3,5,20,San_Miguel_12,3 +4,8,17,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_00_count.csv new file mode 100644 index 0000000..352e634 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,2,23,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_01_count.csv new file mode 100644 index 0000000..7417717 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_10_count.csv new file mode 100644 index 0000000..948751f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_11_count.csv new file mode 100644 index 0000000..fe13642 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_12_count.csv new file mode 100644 index 0000000..dfcd335 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_31_count.csv new file mode 100644 index 0000000..5f27119 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,23,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..0691ec1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,25,Santa_Maria_00,0 +1,7,18,Santa_Maria_00,1 +2,5,20,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_2_count.csv new file mode 100644 index 0000000..02de611 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,19,Spain_2,1 +2,3,22,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_5_count.csv new file mode 100644 index 0000000..4c541f8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_01_count.csv new file mode 100644 index 0000000..ebaeda8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_02_count.csv new file mode 100644 index 0000000..7e17955 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sweden_0_count.csv new file mode 100644 index 0000000..317b261 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,21,Sweden_0,0 +2,5,20,Sweden_0,2 +3,7,18,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_00_count.csv new file mode 100644 index 0000000..0bfe42e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_02_count.csv new file mode 100644 index 0000000..c00f7af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_00_count.csv new file mode 100644 index 0000000..2c96649 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_01_count.csv new file mode 100644 index 0000000..50ffe3a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_02_count.csv new file mode 100644 index 0000000..1ca44d5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Ukraine_0_count.csv new file mode 100644 index 0000000..8315648 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,16,Ukraine_0,1 +4,5,20,Ukraine_0,4 +5,2,23,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Australia_1_count.csv new file mode 100644 index 0000000..79da1ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,10,Australia_1,0 +1,15,1,Australia_1,1 +2,6,10,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_00_count.csv new file mode 100644 index 0000000..259ec57 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,12,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_01_count.csv new file mode 100644 index 0000000..897bc0e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_02_count.csv new file mode 100644 index 0000000..e242f51 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_10_count.csv new file mode 100644 index 0000000..90f9497 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_0_count.csv new file mode 100644 index 0000000..520915d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,10,Bolivia_0,0 +1,2,14,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_1_count.csv new file mode 100644 index 0000000..3be9a23 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,12,Bolivia_1,0 +2,2,14,Bolivia_1,2 +5,4,12,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..f169690 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..e58a1af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Copahue_20_count.csv new file mode 100644 index 0000000..e65abe5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,14,Copahue_20,1 +5,1,15,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_00_count.csv new file mode 100644 index 0000000..a7dfb91 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,15,Etna_00,2 +4,4,12,Etna_00,4 +5,5,11,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_01_count.csv new file mode 100644 index 0000000..752b13c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_02_count.csv new file mode 100644 index 0000000..89a3b31 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,8,Etna_02,1 +2,4,12,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_03_count.csv new file mode 100644 index 0000000..d5279d1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/France_0_count.csv new file mode 100644 index 0000000..de7331d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,7,France_0,1 +2,1,15,France_0,2 +3,3,13,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_00_count.csv new file mode 100644 index 0000000..c6f4f4d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,2,14,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_01_count.csv new file mode 100644 index 0000000..68f5d78 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Fuego_01,0 +3,4,12,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_02_count.csv new file mode 100644 index 0000000..18af146 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Fuego_02,0 +3,4,12,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_0_count.csv new file mode 100644 index 0000000..050108b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,8,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_1_count.csv new file mode 100644 index 0000000..89684a5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,4,12,Greece_1,1 +4,2,14,Greece_1,4 +5,1,15,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_2_count.csv new file mode 100644 index 0000000..87dd19e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Greece_2,0 +1,8,8,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_3_count.csv new file mode 100644 index 0000000..c637ab8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,2,14,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_4_count.csv new file mode 100644 index 0000000..8821408 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Greece_4,0 +2,2,14,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_5_count.csv new file mode 100644 index 0000000..ee5f0f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,15,Greece_5,2 +3,8,8,Greece_5,3 +5,2,14,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greenland_0_count.csv new file mode 100644 index 0000000..f6e23fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,5,11,Greenland_0,0 +2,4,12,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Italy_0_count.csv new file mode 100644 index 0000000..9c10e97 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,3,13,Italy_0,1 +6,3,13,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Karangetang_01_count.csv new file mode 100644 index 0000000..37b198b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,12,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Kenya_0_count.csv new file mode 100644 index 0000000..1ae74cf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,13,3,Kenya_0,0 +2,3,13,Kenya_0,2 +3,2,14,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..80c565e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..93417fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..e7f21c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Krysuvik-Trolladyngja_02,0 +3,2,14,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..10773d8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,14,Krysuvik-Trolladyngja_03,0 +3,2,14,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_00_count.csv new file mode 100644 index 0000000..43ad38f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,12,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_02_count.csv new file mode 100644 index 0000000..17946c8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_0_count.csv new file mode 100644 index 0000000..15f635f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,4,12,Latvia_0,0 +1,2,14,Latvia_0,1 +3,0,16,Latvia_0,3 +4,0,16,Latvia_0,4 +5,1,15,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_1_count.csv new file mode 100644 index 0000000..5ab24e9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,1,15,Latvia_1,5 +6,0,16,Latvia_1,6 +8,10,6,Latvia_1,8 +9,2,14,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_01_count.csv new file mode 100644 index 0000000..85002ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_02_count.csv new file mode 100644 index 0000000..9ee1446 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,10,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mexico_0_count.csv new file mode 100644 index 0000000..0172400 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,1,15,Mexico_0,1 +2,6,10,Mexico_0,2 +3,8,8,Mexico_0,3 +5,1,15,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..2b49816 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,15,Nyamulagira_00,1 +5,4,12,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..fad0bd4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,1,15,Nyamulagira_01,1 +2,2,14,Nyamulagira_01,2 +5,4,12,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..1cf6b4b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,1,15,Nyamulagira_02,1 +5,2,14,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..069826d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,1,15,Nyamulagira_03,0 +2,2,14,Nyamulagira_03,2 +5,4,12,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..c3c8b2b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,13,Nyamulagira_04,2 +5,2,14,Nyamulagira_04,5 +6,2,14,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..315ab4a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,2,14,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..a1809f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..595d7e6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..d985359 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Piton_de_la_Fournaise_02,0 +1,2,14,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..0ff146c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..6b1867d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..5c330fe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,3,13,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..3e83980 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,10,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..0f545ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Poas_00_count.csv new file mode 100644 index 0000000..6d55ff8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,12,Poas_00,2 +4,2,14,Poas_00,4 +5,2,14,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_10_count.csv new file mode 100644 index 0000000..bc545b2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,12,Raung_10,0 +1,5,11,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_11_count.csv new file mode 100644 index 0000000..f30f7eb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,4,12,Raung_11,0 +1,8,8,Raung_11,1 +2,2,14,Raung_11,2 +3,2,14,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_12_count.csv new file mode 100644 index 0000000..5ae8417 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,14,Raung_12,1 +2,5,11,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_10_count.csv new file mode 100644 index 0000000..1647dc4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,14,San_Miguel_10,1 +2,9,7,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_11_count.csv new file mode 100644 index 0000000..db6318c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,5,11,San_Miguel_11,1 +2,8,8,San_Miguel_11,2 +3,9,7,San_Miguel_11,3 +4,5,11,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_12_count.csv new file mode 100644 index 0000000..fca25a6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,8,8,San_Miguel_12,1 +3,8,8,San_Miguel_12,3 +4,10,6,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_00_count.csv new file mode 100644 index 0000000..b390e90 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,12,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_01_count.csv new file mode 100644 index 0000000..67424ee --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_10_count.csv new file mode 100644 index 0000000..4005e0d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,14,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_11_count.csv new file mode 100644 index 0000000..9acc183 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_12_count.csv new file mode 100644 index 0000000..20efb12 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_31_count.csv new file mode 100644 index 0000000..40c9e75 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,2,14,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..2465297 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,16,Santa_Maria_00,0 +1,6,10,Santa_Maria_00,1 +2,5,11,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_2_count.csv new file mode 100644 index 0000000..c2fd281 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,10,Spain_2,1 +2,2,14,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_5_count.csv new file mode 100644 index 0000000..650fc9c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,12,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_01_count.csv new file mode 100644 index 0000000..520d87f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,12,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_02_count.csv new file mode 100644 index 0000000..a79ed7d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,14,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sweden_0_count.csv new file mode 100644 index 0000000..2c677bd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,12,Sweden_0,0 +2,5,11,Sweden_0,2 +3,8,8,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_00_count.csv new file mode 100644 index 0000000..736b49c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_02_count.csv new file mode 100644 index 0000000..e7c8d11 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,5,11,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_00_count.csv new file mode 100644 index 0000000..4f23fc1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,14,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_01_count.csv new file mode 100644 index 0000000..91b86c3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_02_count.csv new file mode 100644 index 0000000..90c51b5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,12,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Ukraine_0_count.csv new file mode 100644 index 0000000..cb13ea1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,9,7,Ukraine_0,1 +4,5,11,Ukraine_0,4 +5,2,14,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Australia_1_count.csv new file mode 100644 index 0000000..faa0dd0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,42,399,Australia_1,0 +1,190,251,Australia_1,1 +2,15,426,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_00_count.csv new file mode 100644 index 0000000..35b84a3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,435,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_01_count.csv new file mode 100644 index 0000000..371d2ea --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,437,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_02_count.csv new file mode 100644 index 0000000..7545662 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,437,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_10_count.csv new file mode 100644 index 0000000..80b9c74 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,437,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_0_count.csv new file mode 100644 index 0000000..3332a64 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,37,404,Bolivia_0,0 +1,32,409,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_1_count.csv new file mode 100644 index 0000000..9735344 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,9,432,Bolivia_1,0 +2,11,430,Bolivia_1,2 +5,18,423,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..75d5adc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,435,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..e61fb84 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,437,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Copahue_20_count.csv new file mode 100644 index 0000000..e0075f6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,437,Copahue_20,1 +5,1,440,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_00_count.csv new file mode 100644 index 0000000..2da2664 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,14,427,Etna_00,2 +4,6,435,Etna_00,4 +5,8,433,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_01_count.csv new file mode 100644 index 0000000..5d59c3f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,12,429,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_02_count.csv new file mode 100644 index 0000000..3d9f798 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,18,423,Etna_02,1 +2,4,437,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_03_count.csv new file mode 100644 index 0000000..36ad2bf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,20,421,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/France_0_count.csv new file mode 100644 index 0000000..a7658bc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,77,364,France_0,1 +2,2,439,France_0,2 +3,18,423,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_00_count.csv new file mode 100644 index 0000000..132d960 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,6,435,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_01_count.csv new file mode 100644 index 0000000..4739968 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,437,Fuego_01,0 +3,8,433,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_02_count.csv new file mode 100644 index 0000000..cd4f104 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,437,Fuego_02,0 +3,6,435,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_0_count.csv new file mode 100644 index 0000000..7302aad --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,73,368,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_1_count.csv new file mode 100644 index 0000000..2e627b9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,43,398,Greece_1,1 +4,19,422,Greece_1,4 +5,4,437,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_2_count.csv new file mode 100644 index 0000000..78287b5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,425,Greece_2,0 +1,76,365,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_3_count.csv new file mode 100644 index 0000000..361f88d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,12,429,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_4_count.csv new file mode 100644 index 0000000..c78c489 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,22,419,Greece_4,0 +2,14,427,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_5_count.csv new file mode 100644 index 0000000..29f27f3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,5,436,Greece_5,2 +3,40,401,Greece_5,3 +5,4,437,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greenland_0_count.csv new file mode 100644 index 0000000..6696eb5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,35,406,Greenland_0,0 +2,15,426,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Italy_0_count.csv new file mode 100644 index 0000000..440ed13 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,18,423,Italy_0,1 +6,17,424,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Karangetang_01_count.csv new file mode 100644 index 0000000..841f774 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,435,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Kenya_0_count.csv new file mode 100644 index 0000000..04254d0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,76,365,Kenya_0,0 +2,26,415,Kenya_0,2 +3,4,437,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..1b6b67e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,433,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..1cd2b5e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,435,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..f6ea75d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,433,Krysuvik-Trolladyngja_02,0 +3,8,433,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..a90bb4e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,11,430,Krysuvik-Trolladyngja_03,0 +3,6,435,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_00_count.csv new file mode 100644 index 0000000..9c43a17 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,15,426,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_02_count.csv new file mode 100644 index 0000000..6917e9b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,36,405,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_0_count.csv new file mode 100644 index 0000000..8955532 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,12,429,Latvia_0,0 +1,4,437,Latvia_0,1 +3,0,441,Latvia_0,3 +4,0,441,Latvia_0,4 +5,5,436,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_1_count.csv new file mode 100644 index 0000000..87c57fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,11,430,Latvia_1,5 +6,0,441,Latvia_1,6 +8,47,394,Latvia_1,8 +9,12,429,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_01_count.csv new file mode 100644 index 0000000..ade9153 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,429,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_02_count.csv new file mode 100644 index 0000000..33a9231 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,17,424,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mexico_0_count.csv new file mode 100644 index 0000000..21e774a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,9,432,Mexico_0,1 +2,70,371,Mexico_0,2 +3,53,388,Mexico_0,3 +5,4,437,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..843619c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,437,Nyamulagira_00,1 +5,9,432,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..1d322c7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,4,437,Nyamulagira_01,1 +2,13,428,Nyamulagira_01,2 +5,8,433,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..cda5d49 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,439,Nyamulagira_02,1 +5,4,437,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..a3c51c1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,437,Nyamulagira_03,0 +2,2,439,Nyamulagira_03,2 +5,4,437,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..bc8cfd0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,6,435,Nyamulagira_04,2 +5,8,433,Nyamulagira_04,5 +6,6,435,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..5c1ad68 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,9,432,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..a466571 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,432,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..646ba8d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,433,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..39526f4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,435,Piton_de_la_Fournaise_02,0 +1,8,433,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..16e7769 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,432,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..034d14f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,433,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..fb175de --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,16,425,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..77a6ffb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,21,420,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..255153a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,425,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Poas_00_count.csv new file mode 100644 index 0000000..800a47a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,437,Poas_00,2 +4,4,437,Poas_00,4 +5,4,437,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_10_count.csv new file mode 100644 index 0000000..fee4eb2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,435,Raung_10,0 +1,18,423,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_11_count.csv new file mode 100644 index 0000000..bda3ad5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,4,437,Raung_11,0 +1,12,429,Raung_11,1 +2,4,437,Raung_11,2 +3,6,435,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_12_count.csv new file mode 100644 index 0000000..4c63773 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,437,Raung_12,1 +2,8,433,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_10_count.csv new file mode 100644 index 0000000..c24556e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,437,San_Miguel_10,1 +2,21,420,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_11_count.csv new file mode 100644 index 0000000..bafc6c9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,10,431,San_Miguel_11,1 +2,8,433,San_Miguel_11,2 +3,12,429,San_Miguel_11,3 +4,13,428,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_12_count.csv new file mode 100644 index 0000000..37e0a86 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,16,425,San_Miguel_12,1 +3,10,431,San_Miguel_12,3 +4,18,423,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_00_count.csv new file mode 100644 index 0000000..768b8a6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,437,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_01_count.csv new file mode 100644 index 0000000..7d0fbce --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,437,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_10_count.csv new file mode 100644 index 0000000..088890e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,437,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_11_count.csv new file mode 100644 index 0000000..795102b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,437,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_12_count.csv new file mode 100644 index 0000000..fa28a1a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,433,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_31_count.csv new file mode 100644 index 0000000..9375117 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,437,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..352227c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,441,Santa_Maria_00,0 +1,12,429,Santa_Maria_00,1 +2,14,427,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_2_count.csv new file mode 100644 index 0000000..874785d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,33,408,Spain_2,1 +2,16,425,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_5_count.csv new file mode 100644 index 0000000..5e38d84 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,17,424,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_01_count.csv new file mode 100644 index 0000000..f26b4e5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,437,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_02_count.csv new file mode 100644 index 0000000..3ff4377 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,435,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sweden_0_count.csv new file mode 100644 index 0000000..4ad288c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,22,419,Sweden_0,0 +2,32,409,Sweden_0,2 +3,34,407,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_00_count.csv new file mode 100644 index 0000000..1b0670c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,435,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_02_count.csv new file mode 100644 index 0000000..36b3698 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,433,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_00_count.csv new file mode 100644 index 0000000..cff5e1c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,437,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_01_count.csv new file mode 100644 index 0000000..e6988ae --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,437,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_02_count.csv new file mode 100644 index 0000000..230aaa6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,437,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Ukraine_0_count.csv new file mode 100644 index 0000000..dd03d3c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,40,401,Ukraine_0,1 +4,22,419,Ukraine_0,4 +5,9,432,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Australia_1_count.csv new file mode 100644 index 0000000..4429095 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,22,78,Australia_1,0 +1,69,31,Australia_1,1 +2,6,94,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_00_count.csv new file mode 100644 index 0000000..d94eb07 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,96,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_01_count.csv new file mode 100644 index 0000000..3a96b85 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,98,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_02_count.csv new file mode 100644 index 0000000..9b95fe6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,96,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_10_count.csv new file mode 100644 index 0000000..0b9a174 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_0_count.csv new file mode 100644 index 0000000..b5b68b9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,17,83,Bolivia_0,0 +1,12,88,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_1_count.csv new file mode 100644 index 0000000..ca1bf5b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,94,Bolivia_1,0 +2,5,95,Bolivia_1,2 +5,9,91,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..2cbec83 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..99d99c5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Copahue_20_count.csv new file mode 100644 index 0000000..da85a70 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,96,Copahue_20,1 +5,1,99,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_00_count.csv new file mode 100644 index 0000000..432f6d0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,5,95,Etna_00,2 +4,4,96,Etna_00,4 +5,8,92,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_01_count.csv new file mode 100644 index 0000000..f836eae --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,94,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_02_count.csv new file mode 100644 index 0000000..1cfcef4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,12,88,Etna_02,1 +2,4,96,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_03_count.csv new file mode 100644 index 0000000..80a9efe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,88,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/France_0_count.csv new file mode 100644 index 0000000..b6b7d43 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,32,68,France_0,1 +2,2,98,France_0,2 +3,8,92,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_00_count.csv new file mode 100644 index 0000000..1476501 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,6,94,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_01_count.csv new file mode 100644 index 0000000..e6924cb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,96,Fuego_01,0 +3,8,92,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_02_count.csv new file mode 100644 index 0000000..34cefc5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,96,Fuego_02,0 +3,4,96,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_0_count.csv new file mode 100644 index 0000000..488098c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,28,72,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_1_count.csv new file mode 100644 index 0000000..cdc2460 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,17,83,Greece_1,1 +4,7,93,Greece_1,4 +5,2,98,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_2_count.csv new file mode 100644 index 0000000..8f88fc5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,11,89,Greece_2,0 +1,25,75,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_3_count.csv new file mode 100644 index 0000000..0a36210 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,9,91,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_4_count.csv new file mode 100644 index 0000000..e9df88e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,10,90,Greece_4,0 +2,8,92,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_5_count.csv new file mode 100644 index 0000000..39705b6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,98,Greece_5,2 +3,26,74,Greece_5,3 +5,3,97,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greenland_0_count.csv new file mode 100644 index 0000000..73d3a59 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,84,Greenland_0,0 +2,9,91,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Italy_0_count.csv new file mode 100644 index 0000000..e707467 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,13,87,Italy_0,1 +6,13,87,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Karangetang_01_count.csv new file mode 100644 index 0000000..ad431dd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,96,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Kenya_0_count.csv new file mode 100644 index 0000000..66c11f3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,42,58,Kenya_0,0 +2,12,88,Kenya_0,2 +3,4,96,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..02d7b97 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,92,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..2229533 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,94,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..cb92d37 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,3,97,Krysuvik-Trolladyngja_02,0 +3,6,94,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..24621c3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,94,Krysuvik-Trolladyngja_03,0 +3,6,94,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_00_count.csv new file mode 100644 index 0000000..ff65bde --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,9,91,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_02_count.csv new file mode 100644 index 0000000..ef69cc0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,17,83,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_0_count.csv new file mode 100644 index 0000000..1fbfe91 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,9,91,Latvia_0,0 +1,3,97,Latvia_0,1 +3,0,100,Latvia_0,3 +4,0,100,Latvia_0,4 +5,3,97,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_1_count.csv new file mode 100644 index 0000000..aeba567 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,6,94,Latvia_1,5 +6,0,100,Latvia_1,6 +8,29,71,Latvia_1,8 +9,8,92,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_01_count.csv new file mode 100644 index 0000000..ff8f787 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,7,93,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_02_count.csv new file mode 100644 index 0000000..b4f0e32 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,92,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mexico_0_count.csv new file mode 100644 index 0000000..1945144 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,6,94,Mexico_0,1 +2,22,78,Mexico_0,2 +3,28,72,Mexico_0,3 +5,2,98,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..c7eb60f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,96,Nyamulagira_00,1 +5,4,96,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..a891f79 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,2,98,Nyamulagira_01,1 +2,8,92,Nyamulagira_01,2 +5,8,92,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..c3d2e6f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,98,Nyamulagira_02,1 +5,4,96,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..92353b6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,98,Nyamulagira_03,0 +2,2,98,Nyamulagira_03,2 +5,4,96,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..2398298 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,96,Nyamulagira_04,2 +5,6,94,Nyamulagira_04,5 +6,2,98,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..ba60453 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,6,94,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..1f02b6c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..bac8cfa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,94,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..b034206 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,94,Piton_de_la_Fournaise_02,0 +1,3,97,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..2625d15 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,94,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..9a7627a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..c4eaad2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,12,88,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..8dc0570 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,10,90,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..be14084 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,94,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Poas_00_count.csv new file mode 100644 index 0000000..c0a95c0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,96,Poas_00,2 +4,4,96,Poas_00,4 +5,4,96,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_10_count.csv new file mode 100644 index 0000000..ffce6dc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,96,Raung_10,0 +1,10,90,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_11_count.csv new file mode 100644 index 0000000..7baf71c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,4,96,Raung_11,0 +1,12,88,Raung_11,1 +2,4,96,Raung_11,2 +3,5,95,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_12_count.csv new file mode 100644 index 0000000..a6309bb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,96,Raung_12,1 +2,8,92,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_10_count.csv new file mode 100644 index 0000000..fc208d8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,96,San_Miguel_10,1 +2,13,87,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_11_count.csv new file mode 100644 index 0000000..6920c3c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,9,91,San_Miguel_11,1 +2,8,92,San_Miguel_11,2 +3,12,88,San_Miguel_11,3 +4,10,90,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_12_count.csv new file mode 100644 index 0000000..e6c5b94 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,15,85,San_Miguel_12,1 +3,10,90,San_Miguel_12,3 +4,18,82,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_00_count.csv new file mode 100644 index 0000000..d0e8ec1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,96,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_01_count.csv new file mode 100644 index 0000000..c7c0715 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,96,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_10_count.csv new file mode 100644 index 0000000..dde8789 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,96,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_11_count.csv new file mode 100644 index 0000000..0562b38 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,94,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_12_count.csv new file mode 100644 index 0000000..cedbcd0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,92,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_31_count.csv new file mode 100644 index 0000000..8e7f71b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,96,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..7ea62f5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,100,Santa_Maria_00,0 +1,9,91,Santa_Maria_00,1 +2,12,88,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_2_count.csv new file mode 100644 index 0000000..224cd37 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,18,82,Spain_2,1 +2,7,93,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_5_count.csv new file mode 100644 index 0000000..df1349b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,11,89,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_01_count.csv new file mode 100644 index 0000000..dab6f51 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,96,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_02_count.csv new file mode 100644 index 0000000..63a915c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,94,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sweden_0_count.csv new file mode 100644 index 0000000..060d778 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,10,90,Sweden_0,0 +2,14,86,Sweden_0,2 +3,17,83,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_00_count.csv new file mode 100644 index 0000000..8862349 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_02_count.csv new file mode 100644 index 0000000..8b74b92 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,94,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_00_count.csv new file mode 100644 index 0000000..e7355da --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_01_count.csv new file mode 100644 index 0000000..9d5c675 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_02_count.csv new file mode 100644 index 0000000..219beb9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,96,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Ukraine_0_count.csv new file mode 100644 index 0000000..2681fa9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(256, 256)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,19,81,Ukraine_0,1 +4,13,87,Ukraine_0,4 +5,6,94,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Australia_1_count.csv new file mode 100644 index 0000000..db72cf1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,18,31,Australia_1,0 +1,44,5,Australia_1,1 +2,12,37,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_00_count.csv new file mode 100644 index 0000000..5b971f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,45,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_01_count.csv new file mode 100644 index 0000000..57b42b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,47,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_02_count.csv new file mode 100644 index 0000000..d289876 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,45,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_10_count.csv new file mode 100644 index 0000000..4e572b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,45,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_0_count.csv new file mode 100644 index 0000000..21f7187 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,37,Bolivia_0,0 +1,7,42,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_1_count.csv new file mode 100644 index 0000000..bf1b231 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,43,Bolivia_1,0 +2,3,46,Bolivia_1,2 +5,8,41,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..9a7048d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,45,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..a423cec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,45,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Copahue_20_count.csv new file mode 100644 index 0000000..4987aee --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,45,Copahue_20,1 +5,1,48,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_00_count.csv new file mode 100644 index 0000000..2999fd8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,45,Etna_00,2 +4,4,45,Etna_00,4 +5,10,39,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_01_count.csv new file mode 100644 index 0000000..7eeb0a8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,3,46,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_02_count.csv new file mode 100644 index 0000000..55b23e2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,18,31,Etna_02,1 +2,4,45,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_03_count.csv new file mode 100644 index 0000000..45f23c2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,10,39,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/France_0_count.csv new file mode 100644 index 0000000..d9b0fb4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,22,27,France_0,1 +2,2,47,France_0,2 +3,5,44,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_00_count.csv new file mode 100644 index 0000000..0f01f7c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,45,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_01_count.csv new file mode 100644 index 0000000..3f774cb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,45,Fuego_01,0 +3,9,40,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_02_count.csv new file mode 100644 index 0000000..c5ee6c7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,45,Fuego_02,0 +3,6,43,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_0_count.csv new file mode 100644 index 0000000..6f534be --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,22,27,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_1_count.csv new file mode 100644 index 0000000..dc5873b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,11,38,Greece_1,1 +4,6,43,Greece_1,4 +5,1,48,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_2_count.csv new file mode 100644 index 0000000..0d786af --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,43,Greece_2,0 +1,19,30,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_3_count.csv new file mode 100644 index 0000000..fe61aca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,43,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_4_count.csv new file mode 100644 index 0000000..0730f4d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,9,40,Greece_4,0 +2,6,43,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_5_count.csv new file mode 100644 index 0000000..ffedf9e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,48,Greece_5,2 +3,20,29,Greece_5,3 +5,3,46,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greenland_0_count.csv new file mode 100644 index 0000000..85c4ce3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,37,Greenland_0,0 +2,9,40,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Italy_0_count.csv new file mode 100644 index 0000000..19e4c67 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,41,Italy_0,1 +6,8,41,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Karangetang_01_count.csv new file mode 100644 index 0000000..80b7048 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,6,43,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Kenya_0_count.csv new file mode 100644 index 0000000..95d6016 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,31,18,Kenya_0,0 +2,7,42,Kenya_0,2 +3,4,45,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..6c72036 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,41,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..bbf39b4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,43,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..f4bb861 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,3,46,Krysuvik-Trolladyngja_02,0 +3,6,43,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..490cc5e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,43,Krysuvik-Trolladyngja_03,0 +3,4,45,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_00_count.csv new file mode 100644 index 0000000..6ad97b1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,9,40,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_02_count.csv new file mode 100644 index 0000000..c67856b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,15,34,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_0_count.csv new file mode 100644 index 0000000..927491f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,6,43,Latvia_0,0 +1,3,46,Latvia_0,1 +3,0,49,Latvia_0,3 +4,0,49,Latvia_0,4 +5,2,47,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_1_count.csv new file mode 100644 index 0000000..0891792 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,4,45,Latvia_1,5 +6,0,49,Latvia_1,6 +8,28,21,Latvia_1,8 +9,8,41,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_01_count.csv new file mode 100644 index 0000000..6a82add --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,40,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_02_count.csv new file mode 100644 index 0000000..95cc68c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,40,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mexico_0_count.csv new file mode 100644 index 0000000..bafd07a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,2,47,Mexico_0,1 +2,12,37,Mexico_0,2 +3,22,27,Mexico_0,3 +5,2,47,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..2a0ed87 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,47,Nyamulagira_00,1 +5,9,40,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..7e66aa4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,2,47,Nyamulagira_01,1 +2,5,44,Nyamulagira_01,2 +5,8,41,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..566faef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,47,Nyamulagira_02,1 +5,3,46,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..9118230 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,47,Nyamulagira_03,0 +2,3,46,Nyamulagira_03,2 +5,6,43,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..5ea5c08 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,45,Nyamulagira_04,2 +5,6,43,Nyamulagira_04,5 +6,3,46,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..d9050da --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,6,43,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..c878d1b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,46,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..5fe9cae --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..e6829db --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,43,Piton_de_la_Fournaise_02,0 +1,3,46,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..c27cb67 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,40,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..5a70762 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,5,44,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..bc41000 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,8,41,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..f055b13 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,12,37,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..9f9de47 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Poas_00_count.csv new file mode 100644 index 0000000..5ac1657 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,45,Poas_00,2 +4,6,43,Poas_00,4 +5,3,46,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_10_count.csv new file mode 100644 index 0000000..5f43d7d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,45,Raung_10,0 +1,12,37,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_11_count.csv new file mode 100644 index 0000000..686c282 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,6,43,Raung_11,0 +1,10,39,Raung_11,1 +2,4,45,Raung_11,2 +3,5,44,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_12_count.csv new file mode 100644 index 0000000..1d8b803 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,43,Raung_12,1 +2,12,37,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_10_count.csv new file mode 100644 index 0000000..f3aeaed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,43,San_Miguel_10,1 +2,13,36,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_11_count.csv new file mode 100644 index 0000000..86aee44 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,9,40,San_Miguel_11,1 +2,10,39,San_Miguel_11,2 +3,14,35,San_Miguel_11,3 +4,9,40,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_12_count.csv new file mode 100644 index 0000000..42537bb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,15,34,San_Miguel_12,1 +3,10,39,San_Miguel_12,3 +4,14,35,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_00_count.csv new file mode 100644 index 0000000..59e6e33 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,45,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_01_count.csv new file mode 100644 index 0000000..c085761 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,43,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_10_count.csv new file mode 100644 index 0000000..f5a4b5b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,43,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_11_count.csv new file mode 100644 index 0000000..e200e36 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,43,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_12_count.csv new file mode 100644 index 0000000..d75a62c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,9,40,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_31_count.csv new file mode 100644 index 0000000..6cb1f15 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,45,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..e131565 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,49,Santa_Maria_00,0 +1,13,36,Santa_Maria_00,1 +2,12,37,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_2_count.csv new file mode 100644 index 0000000..df73f52 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,15,34,Spain_2,1 +2,7,42,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_5_count.csv new file mode 100644 index 0000000..dfb267b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,9,40,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_01_count.csv new file mode 100644 index 0000000..b1482a0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,43,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_02_count.csv new file mode 100644 index 0000000..ef0b677 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,9,40,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sweden_0_count.csv new file mode 100644 index 0000000..5fef55a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,8,41,Sweden_0,0 +2,11,38,Sweden_0,2 +3,18,31,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_00_count.csv new file mode 100644 index 0000000..e1254f9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,45,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_02_count.csv new file mode 100644 index 0000000..f88b51b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_00_count.csv new file mode 100644 index 0000000..e8d8008 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,40,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_01_count.csv new file mode 100644 index 0000000..d89f106 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,40,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_02_count.csv new file mode 100644 index 0000000..afc80bc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,43,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Ukraine_0_count.csv new file mode 100644 index 0000000..6b48115 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(384, 384)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,16,33,Ukraine_0,1 +4,10,39,Ukraine_0,4 +5,3,46,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Australia_1_count.csv new file mode 100644 index 0000000..329831b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,12,13,Australia_1,0 +1,24,1,Australia_1,1 +2,8,17,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_00_count.csv new file mode 100644 index 0000000..6681e58 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_01_count.csv new file mode 100644 index 0000000..e5073fd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_02_count.csv new file mode 100644 index 0000000..946ed6f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_10_count.csv new file mode 100644 index 0000000..223ebd4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_0_count.csv new file mode 100644 index 0000000..2965c05 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,17,Bolivia_0,0 +1,5,20,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_1_count.csv new file mode 100644 index 0000000..0285467 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,4,21,Bolivia_1,0 +2,3,22,Bolivia_1,2 +5,6,19,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..f2ea1c0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..5a30b43 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,4,21,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Copahue_20_count.csv new file mode 100644 index 0000000..ace7b96 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,21,Copahue_20,1 +5,1,24,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_00_count.csv new file mode 100644 index 0000000..b6cb717 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,23,Etna_00,2 +4,4,21,Etna_00,4 +5,9,16,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_01_count.csv new file mode 100644 index 0000000..45c55bb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,2,23,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_02_count.csv new file mode 100644 index 0000000..8d1f621 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,10,15,Etna_02,1 +2,4,21,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_03_count.csv new file mode 100644 index 0000000..54160ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,16,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/France_0_count.csv new file mode 100644 index 0000000..2977d0a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,16,9,France_0,1 +2,2,23,France_0,2 +3,4,21,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_00_count.csv new file mode 100644 index 0000000..56dd01c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,4,21,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_01_count.csv new file mode 100644 index 0000000..366821f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Fuego_01,0 +3,6,19,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_02_count.csv new file mode 100644 index 0000000..0b5b831 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Fuego_02,0 +3,6,19,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_0_count.csv new file mode 100644 index 0000000..3d0bc78 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,14,11,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_1_count.csv new file mode 100644 index 0000000..2831c1c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,8,17,Greece_1,1 +4,3,22,Greece_1,4 +5,1,24,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_2_count.csv new file mode 100644 index 0000000..d38e7a0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Greece_2,0 +1,13,12,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_3_count.csv new file mode 100644 index 0000000..ed0931d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_4_count.csv new file mode 100644 index 0000000..9aa967f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,21,Greece_4,0 +2,4,21,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_5_count.csv new file mode 100644 index 0000000..2f8bf64 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,1,24,Greece_5,2 +3,15,10,Greece_5,3 +5,2,23,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greenland_0_count.csv new file mode 100644 index 0000000..2e3bf56 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,9,16,Greenland_0,0 +2,9,16,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Italy_0_count.csv new file mode 100644 index 0000000..83ee4b7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,8,17,Italy_0,1 +6,8,17,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Karangetang_01_count.csv new file mode 100644 index 0000000..55d967d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,4,21,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Kenya_0_count.csv new file mode 100644 index 0000000..41eae25 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,18,7,Kenya_0,0 +2,6,19,Kenya_0,2 +3,4,21,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..0566aed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..b7682b7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..f0f06ed --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_02,0 +3,6,19,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..9b5a7ce --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,2,23,Krysuvik-Trolladyngja_03,0 +3,4,21,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_00_count.csv new file mode 100644 index 0000000..d8a0434 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,19,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_02_count.csv new file mode 100644 index 0000000..162dc0b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,11,14,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_0_count.csv new file mode 100644 index 0000000..7d53c16 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,6,19,Latvia_0,0 +1,3,22,Latvia_0,1 +3,0,25,Latvia_0,3 +4,0,25,Latvia_0,4 +5,2,23,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_1_count.csv new file mode 100644 index 0000000..31963d5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,2,23,Latvia_1,5 +6,0,25,Latvia_1,6 +8,17,8,Latvia_1,8 +9,6,19,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_01_count.csv new file mode 100644 index 0000000..9e0d466 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_02_count.csv new file mode 100644 index 0000000..8a2ddb1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,9,16,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mexico_0_count.csv new file mode 100644 index 0000000..51c94b7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,2,23,Mexico_0,1 +2,8,17,Mexico_0,2 +3,15,10,Mexico_0,3 +5,2,23,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..9aa3598 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,23,Nyamulagira_00,1 +5,4,21,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..6b94ebe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,2,23,Nyamulagira_01,1 +2,3,22,Nyamulagira_01,2 +5,7,18,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..89c7529 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,23,Nyamulagira_02,1 +5,2,23,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..5748223 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,23,Nyamulagira_03,0 +2,3,22,Nyamulagira_03,2 +5,6,19,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..6afd36b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,22,Nyamulagira_04,2 +5,4,21,Nyamulagira_04,5 +6,2,23,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..cb8b445 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,4,21,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..6697018 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,22,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..88a0fd8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..faf4822 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Piton_de_la_Fournaise_02,0 +1,3,22,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..9e854ae --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..ccb87f8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,3,22,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..b68c2ab --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,8,17,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..a5efec2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,8,17,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..6f6545f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,2,23,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Poas_00_count.csv new file mode 100644 index 0000000..0379bc1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,4,21,Poas_00,2 +4,4,21,Poas_00,4 +5,2,23,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_10_count.csv new file mode 100644 index 0000000..c3b6e2f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,6,19,Raung_10,0 +1,10,15,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_11_count.csv new file mode 100644 index 0000000..9f1814f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,4,21,Raung_11,0 +1,10,15,Raung_11,1 +2,4,21,Raung_11,2 +3,5,20,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_12_count.csv new file mode 100644 index 0000000..25462e6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,21,Raung_12,1 +2,10,15,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_10_count.csv new file mode 100644 index 0000000..72e779c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,21,San_Miguel_10,1 +2,15,10,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_11_count.csv new file mode 100644 index 0000000..bef96d3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,8,17,San_Miguel_11,1 +2,8,17,San_Miguel_11,2 +3,17,8,San_Miguel_11,3 +4,7,18,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_12_count.csv new file mode 100644 index 0000000..a924557 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,13,12,San_Miguel_12,1 +3,10,15,San_Miguel_12,3 +4,14,11,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_00_count.csv new file mode 100644 index 0000000..b10046d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,6,19,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_01_count.csv new file mode 100644 index 0000000..797422c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,19,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_10_count.csv new file mode 100644 index 0000000..948751f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_11_count.csv new file mode 100644 index 0000000..f54737b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_12_count.csv new file mode 100644 index 0000000..dfcd335 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_31_count.csv new file mode 100644 index 0000000..72179c9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,6,19,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..e76d9fc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,25,Santa_Maria_00,0 +1,9,16,Santa_Maria_00,1 +2,9,16,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_2_count.csv new file mode 100644 index 0000000..f805301 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,11,14,Spain_2,1 +2,3,22,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_5_count.csv new file mode 100644 index 0000000..4c541f8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,4,21,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_01_count.csv new file mode 100644 index 0000000..8fd09ca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,6,19,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_02_count.csv new file mode 100644 index 0000000..7e17955 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,21,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sweden_0_count.csv new file mode 100644 index 0000000..4fd6ee4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,19,Sweden_0,0 +2,8,17,Sweden_0,2 +3,14,11,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_00_count.csv new file mode 100644 index 0000000..bdee082 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_02_count.csv new file mode 100644 index 0000000..1d9c201 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,17,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_00_count.csv new file mode 100644 index 0000000..3067a12 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_01_count.csv new file mode 100644 index 0000000..ee6e55c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_02_count.csv new file mode 100644 index 0000000..d3e80ca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,19,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Ukraine_0_count.csv new file mode 100644 index 0000000..9c94b7b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.5_windowSize_(512, 512)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,13,12,Ukraine_0,1 +4,9,16,Ukraine_0,4 +5,3,22,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Australia_1_count.csv new file mode 100644 index 0000000..1cc0e11 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,151,1530,Australia_1,0 +1,757,924,Australia_1,1 +2,52,1629,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_00_count.csv new file mode 100644 index 0000000..f86a7e5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,29,1652,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_01_count.csv new file mode 100644 index 0000000..621d1ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,15,1666,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_02_count.csv new file mode 100644 index 0000000..518fe08 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,1665,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_10_count.csv new file mode 100644 index 0000000..65c5956 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,1665,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_0_count.csv new file mode 100644 index 0000000..41840d3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,152,1529,Bolivia_0,0 +1,110,1571,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_1_count.csv new file mode 100644 index 0000000..24408f6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,34,1647,Bolivia_1,0 +2,33,1648,Bolivia_1,2 +5,63,1618,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..de6eed2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,25,1656,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..b527a76 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,25,1656,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Copahue_20_count.csv new file mode 100644 index 0000000..6da4dfb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,1665,Copahue_20,1 +5,2,1679,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_00_count.csv new file mode 100644 index 0000000..a86a803 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,45,1636,Etna_00,2 +4,20,1661,Etna_00,4 +5,32,1649,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_01_count.csv new file mode 100644 index 0000000..4c8bfda --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,35,1646,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_02_count.csv new file mode 100644 index 0000000..1092712 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,76,1605,Etna_02,1 +2,16,1665,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_03_count.csv new file mode 100644 index 0000000..72b965e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,91,1590,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/France_0_count.csv new file mode 100644 index 0000000..e452b33 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,277,1404,France_0,1 +2,8,1673,France_0,2 +3,60,1621,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_00_count.csv new file mode 100644 index 0000000..299f00b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,25,1656,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_01_count.csv new file mode 100644 index 0000000..18d0fda --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,1665,Fuego_01,0 +3,24,1657,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_02_count.csv new file mode 100644 index 0000000..03a2ebd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,1665,Fuego_02,0 +3,24,1657,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_0_count.csv new file mode 100644 index 0000000..10843c6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,289,1392,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_1_count.csv new file mode 100644 index 0000000..20c5c89 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,170,1511,Greece_1,1 +4,66,1615,Greece_1,4 +5,12,1669,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_2_count.csv new file mode 100644 index 0000000..8d2ac8c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,57,1624,Greece_2,0 +1,293,1388,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_3_count.csv new file mode 100644 index 0000000..7636b2b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,44,1637,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_4_count.csv new file mode 100644 index 0000000..b98e935 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,92,1589,Greece_4,0 +2,60,1621,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_5_count.csv new file mode 100644 index 0000000..e9c0c23 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,17,1664,Greece_5,2 +3,154,1527,Greece_5,3 +5,15,1666,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greenland_0_count.csv new file mode 100644 index 0000000..0f3718e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,138,1543,Greenland_0,0 +2,63,1618,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Italy_0_count.csv new file mode 100644 index 0000000..756467b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,60,1621,Italy_0,1 +6,59,1622,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Karangetang_01_count.csv new file mode 100644 index 0000000..9be67c9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,20,1661,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Kenya_0_count.csv new file mode 100644 index 0000000..8f785fb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,299,1382,Kenya_0,0 +2,97,1584,Kenya_0,2 +3,20,1661,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..3723a71 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,34,1647,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..19852ca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,25,1656,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..e85dabc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,31,1650,Krysuvik-Trolladyngja_02,0 +3,32,1649,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..10ed041 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,44,1637,Krysuvik-Trolladyngja_03,0 +3,20,1661,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_00_count.csv new file mode 100644 index 0000000..94e1eaa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,71,1610,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_02_count.csv new file mode 100644 index 0000000..5d1b27e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,135,1546,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_0_count.csv new file mode 100644 index 0000000..1c33586 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,46,1635,Latvia_0,0 +1,12,1669,Latvia_0,1 +3,0,1681,Latvia_0,3 +4,0,1681,Latvia_0,4 +5,14,1667,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_1_count.csv new file mode 100644 index 0000000..a03a62b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,34,1647,Latvia_1,5 +6,0,1681,Latvia_1,6 +8,202,1479,Latvia_1,8 +9,44,1637,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_01_count.csv new file mode 100644 index 0000000..587b9fd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,54,1627,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_02_count.csv new file mode 100644 index 0000000..c2c2fea --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,67,1614,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mexico_0_count.csv new file mode 100644 index 0000000..e15b07b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,25,1656,Mexico_0,1 +2,268,1413,Mexico_0,2 +3,210,1471,Mexico_0,3 +5,12,1669,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..802d4f4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,1665,Nyamulagira_00,1 +5,45,1636,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..0cfddb3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,12,1669,Nyamulagira_01,1 +2,41,1640,Nyamulagira_01,2 +5,32,1649,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..7eccebb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,1677,Nyamulagira_02,1 +5,20,1661,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..b52b9ca --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,12,1669,Nyamulagira_03,0 +2,8,1673,Nyamulagira_03,2 +5,16,1665,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..9c9f69c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,20,1661,Nyamulagira_04,2 +5,40,1641,Nyamulagira_04,5 +6,23,1658,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..5858f1e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,39,1642,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..e627a98 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,30,1651,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..c591a34 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,32,1649,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..55efc75 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,29,1652,Piton_de_la_Fournaise_02,0 +1,32,1649,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..67dd293 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,35,1646,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..7bdb359 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,31,1650,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..8bda342 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,58,1623,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..fd85f11 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,89,1592,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..4b33d93 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,49,1632,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Poas_00_count.csv new file mode 100644 index 0000000..13ef379 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,16,1665,Poas_00,2 +4,25,1656,Poas_00,4 +5,16,1665,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_10_count.csv new file mode 100644 index 0000000..5e76763 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,20,1661,Raung_10,0 +1,68,1613,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_11_count.csv new file mode 100644 index 0000000..8127356 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,20,1661,Raung_11,0 +1,52,1629,Raung_11,1 +2,20,1661,Raung_11,2 +3,24,1657,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_12_count.csv new file mode 100644 index 0000000..aead74a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,20,1661,Raung_12,1 +2,32,1649,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_10_count.csv new file mode 100644 index 0000000..8f664e5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,1665,San_Miguel_10,1 +2,73,1608,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_11_count.csv new file mode 100644 index 0000000..869fd07 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,36,1645,San_Miguel_11,1 +2,32,1649,San_Miguel_11,2 +3,48,1633,San_Miguel_11,3 +4,50,1631,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_12_count.csv new file mode 100644 index 0000000..8deb508 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,64,1617,San_Miguel_12,1 +3,40,1641,San_Miguel_12,3 +4,72,1609,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_00_count.csv new file mode 100644 index 0000000..5591da5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,24,1657,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_01_count.csv new file mode 100644 index 0000000..9ceec72 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,1661,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_10_count.csv new file mode 100644 index 0000000..b8aba2c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,1661,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_11_count.csv new file mode 100644 index 0000000..c070557 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,1665,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_12_count.csv new file mode 100644 index 0000000..ea46e2f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,24,1657,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_31_count.csv new file mode 100644 index 0000000..dfdd873 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,1661,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..9267607 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,1681,Santa_Maria_00,0 +1,53,1628,Santa_Maria_00,1 +2,48,1633,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_2_count.csv new file mode 100644 index 0000000..06e883b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,138,1543,Spain_2,1 +2,59,1622,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_5_count.csv new file mode 100644 index 0000000..3c5abba --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,64,1617,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_01_count.csv new file mode 100644 index 0000000..5bfb848 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,20,1661,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_02_count.csv new file mode 100644 index 0000000..c7b0f24 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,20,1661,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sweden_0_count.csv new file mode 100644 index 0000000..eaff61a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,83,1598,Sweden_0,0 +2,121,1560,Sweden_0,2 +3,140,1541,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_00_count.csv new file mode 100644 index 0000000..e304bcb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,20,1661,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_02_count.csv new file mode 100644 index 0000000..ec7debe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,28,1653,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_00_count.csv new file mode 100644 index 0000000..85b5356 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,1665,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_01_count.csv new file mode 100644 index 0000000..d424619 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,20,1661,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_02_count.csv new file mode 100644 index 0000000..10b0235 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,1665,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Ukraine_0_count.csv new file mode 100644 index 0000000..e6cb003 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(128, 128)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,151,1530,Ukraine_0,1 +4,71,1610,Ukraine_0,4 +5,30,1651,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Australia_1_count.csv new file mode 100644 index 0000000..fa76287 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,87,274,Australia_1,0 +1,264,97,Australia_1,1 +2,35,326,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_00_count.csv new file mode 100644 index 0000000..01ed1db --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,20,341,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_01_count.csv new file mode 100644 index 0000000..c78e358 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,8,353,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_02_count.csv new file mode 100644 index 0000000..4b1569f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,345,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_10_count.csv new file mode 100644 index 0000000..ad41a1a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,345,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_0_count.csv new file mode 100644 index 0000000..51576b7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,65,296,Bolivia_0,0 +1,40,321,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_1_count.csv new file mode 100644 index 0000000..da8afa8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,25,336,Bolivia_1,0 +2,17,344,Bolivia_1,2 +5,40,321,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..bb75757 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,20,341,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..2706abd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,345,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Copahue_20_count.csv new file mode 100644 index 0000000..6f34419 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,345,Copahue_20,1 +5,1,360,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_00_count.csv new file mode 100644 index 0000000..b503486 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,18,343,Etna_00,2 +4,20,341,Etna_00,4 +5,32,329,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_01_count.csv new file mode 100644 index 0000000..0acad3d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,18,343,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_02_count.csv new file mode 100644 index 0000000..bcf6726 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,50,311,Etna_02,1 +2,16,345,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_03_count.csv new file mode 100644 index 0000000..95586df --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,48,313,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/France_0_count.csv new file mode 100644 index 0000000..faa174b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,126,235,France_0,1 +2,4,357,France_0,2 +3,26,335,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_00_count.csv new file mode 100644 index 0000000..37ad7d7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,20,341,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_01_count.csv new file mode 100644 index 0000000..073142f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,345,Fuego_01,0 +3,24,337,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_02_count.csv new file mode 100644 index 0000000..a3a4b47 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,345,Fuego_02,0 +3,20,341,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_0_count.csv new file mode 100644 index 0000000..e46dc2b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,109,252,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_1_count.csv new file mode 100644 index 0000000..ad28576 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,62,299,Greece_1,1 +4,27,334,Greece_1,4 +5,4,357,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_2_count.csv new file mode 100644 index 0000000..f947abb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,38,323,Greece_2,0 +1,97,264,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_3_count.csv new file mode 100644 index 0000000..676e7bb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,30,331,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_4_count.csv new file mode 100644 index 0000000..dc70d3a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,39,322,Greece_4,0 +2,27,334,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_5_count.csv new file mode 100644 index 0000000..314ab83 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,5,356,Greece_5,2 +3,88,273,Greece_5,3 +5,6,355,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greenland_0_count.csv new file mode 100644 index 0000000..7089d89 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,59,302,Greenland_0,0 +2,35,326,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Italy_0_count.csv new file mode 100644 index 0000000..0ee9373 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,41,320,Italy_0,1 +6,41,320,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Karangetang_01_count.csv new file mode 100644 index 0000000..e433b7d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,20,341,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Kenya_0_count.csv new file mode 100644 index 0000000..17a4785 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,159,202,Kenya_0,0 +2,35,326,Kenya_0,2 +3,16,345,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..147f61f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,24,337,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..30f63de --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,341,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..070a772 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,349,Krysuvik-Trolladyngja_02,0 +3,24,337,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..8231b62 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,18,343,Krysuvik-Trolladyngja_03,0 +3,20,341,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_00_count.csv new file mode 100644 index 0000000..15845d9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,35,326,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_02_count.csv new file mode 100644 index 0000000..5e1faff --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,64,297,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_0_count.csv new file mode 100644 index 0000000..6ac8ae4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,30,331,Latvia_0,0 +1,6,355,Latvia_0,1 +3,0,361,Latvia_0,3 +4,0,361,Latvia_0,4 +5,9,352,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_1_count.csv new file mode 100644 index 0000000..3a2f174 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,19,342,Latvia_1,5 +6,0,361,Latvia_1,6 +8,117,244,Latvia_1,8 +9,32,329,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_01_count.csv new file mode 100644 index 0000000..6fd8737 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,32,329,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_02_count.csv new file mode 100644 index 0000000..d893b3f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,40,321,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mexico_0_count.csv new file mode 100644 index 0000000..6e2ecd6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,15,346,Mexico_0,1 +2,75,286,Mexico_0,2 +3,108,253,Mexico_0,3 +5,8,353,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..5f06c10 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,12,349,Nyamulagira_00,1 +5,25,336,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..5f2dc1f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,8,353,Nyamulagira_01,1 +2,23,338,Nyamulagira_01,2 +5,28,333,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..3ab737f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,357,Nyamulagira_02,1 +5,12,349,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..77aceef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,8,353,Nyamulagira_03,0 +2,4,357,Nyamulagira_03,2 +5,16,345,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..36969ba --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,12,349,Nyamulagira_04,2 +5,24,337,Nyamulagira_04,5 +6,10,351,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..cc6c61e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,25,336,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..23f8d82 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,15,346,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..2a76624 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,337,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..f263fec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,20,341,Piton_de_la_Fournaise_02,0 +1,12,349,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..8d76dd0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,25,336,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..3fe00ce --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,15,346,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..72fd07c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,40,321,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..f6a6c5e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,45,316,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..f57c8b5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,337,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Poas_00_count.csv new file mode 100644 index 0000000..bbc9112 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,16,345,Poas_00,2 +4,16,345,Poas_00,4 +5,12,349,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_10_count.csv new file mode 100644 index 0000000..795b2fb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,20,341,Raung_10,0 +1,46,315,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_11_count.csv new file mode 100644 index 0000000..f78d0d9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,16,345,Raung_11,0 +1,44,317,Raung_11,1 +2,16,345,Raung_11,2 +3,18,343,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_12_count.csv new file mode 100644 index 0000000..b1953bc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,345,Raung_12,1 +2,32,329,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_10_count.csv new file mode 100644 index 0000000..0aaf68e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,345,San_Miguel_10,1 +2,61,300,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_11_count.csv new file mode 100644 index 0000000..2cb1304 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,38,323,San_Miguel_11,1 +2,32,329,San_Miguel_11,2 +3,48,313,San_Miguel_11,3 +4,32,329,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_12_count.csv new file mode 100644 index 0000000..5de185f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,57,304,San_Miguel_12,1 +3,36,325,San_Miguel_12,3 +4,68,293,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_00_count.csv new file mode 100644 index 0000000..7948b23 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,16,345,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_01_count.csv new file mode 100644 index 0000000..8144921 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,345,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_10_count.csv new file mode 100644 index 0000000..7ae1ab9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,345,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_11_count.csv new file mode 100644 index 0000000..415bddd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,341,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_12_count.csv new file mode 100644 index 0000000..3b511cf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,24,337,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_31_count.csv new file mode 100644 index 0000000..375db5d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,345,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..dfbe2aa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,361,Santa_Maria_00,0 +1,34,327,Santa_Maria_00,1 +2,44,317,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_2_count.csv new file mode 100644 index 0000000..023f3b8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,67,294,Spain_2,1 +2,25,336,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_5_count.csv new file mode 100644 index 0000000..ec49d7e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,39,322,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_01_count.csv new file mode 100644 index 0000000..4543fb3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,345,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_02_count.csv new file mode 100644 index 0000000..cb18908 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,20,341,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sweden_0_count.csv new file mode 100644 index 0000000..0b3eea9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,43,318,Sweden_0,0 +2,44,317,Sweden_0,2 +3,63,298,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_00_count.csv new file mode 100644 index 0000000..3bfb866 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,20,341,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_02_count.csv new file mode 100644 index 0000000..ead7973 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,337,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_00_count.csv new file mode 100644 index 0000000..43d12ef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,345,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_01_count.csv new file mode 100644 index 0000000..75a5c1d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,345,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_02_count.csv new file mode 100644 index 0000000..e84da33 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,345,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Ukraine_0_count.csv new file mode 100644 index 0000000..6e491fe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(256, 256)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,71,290,Ukraine_0,1 +4,44,317,Ukraine_0,4 +5,15,346,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Australia_1_count.csv new file mode 100644 index 0000000..779505f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,49,95,Australia_1,0 +1,132,12,Australia_1,1 +2,33,111,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_00_count.csv new file mode 100644 index 0000000..9666e4a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,128,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_01_count.csv new file mode 100644 index 0000000..47a8d7b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,140,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_02_count.csv new file mode 100644 index 0000000..f2486c6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,128,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_10_count.csv new file mode 100644 index 0000000..7cfef52 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,128,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_0_count.csv new file mode 100644 index 0000000..da5abfb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,39,105,Bolivia_0,0 +1,19,125,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_1_count.csv new file mode 100644 index 0000000..d1d38fc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,20,124,Bolivia_1,0 +2,10,134,Bolivia_1,2 +5,30,114,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..51d1c80 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,132,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..0d8bb69 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,132,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Copahue_20_count.csv new file mode 100644 index 0000000..c0e1cb8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,12,132,Copahue_20,1 +5,1,143,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_00_count.csv new file mode 100644 index 0000000..096f40c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,9,135,Etna_00,2 +4,16,128,Etna_00,4 +5,36,108,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_01_count.csv new file mode 100644 index 0000000..4e70c0d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,10,134,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_02_count.csv new file mode 100644 index 0000000..4c80a5f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,49,95,Etna_02,1 +2,16,128,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_03_count.csv new file mode 100644 index 0000000..f426150 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,32,112,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/France_0_count.csv new file mode 100644 index 0000000..c1b1f08 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,70,74,France_0,1 +2,3,141,France_0,2 +3,17,127,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_00_count.csv new file mode 100644 index 0000000..0371977 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,12,132,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_01_count.csv new file mode 100644 index 0000000..bb5b53c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,132,Fuego_01,0 +3,20,124,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_02_count.csv new file mode 100644 index 0000000..cfb87e9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,12,132,Fuego_02,0 +3,20,124,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_0_count.csv new file mode 100644 index 0000000..6b7a206 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,62,82,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_1_count.csv new file mode 100644 index 0000000..9545045 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,35,109,Greece_1,1 +4,15,129,Greece_1,4 +5,2,142,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_2_count.csv new file mode 100644 index 0000000..726ee7b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,24,120,Greece_2,0 +1,57,87,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_3_count.csv new file mode 100644 index 0000000..5827bff --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,19,125,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_4_count.csv new file mode 100644 index 0000000..4ca27fc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,24,120,Greece_4,0 +2,15,129,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_5_count.csv new file mode 100644 index 0000000..e3f5ef1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,3,141,Greece_5,2 +3,56,88,Greece_5,3 +5,4,140,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greenland_0_count.csv new file mode 100644 index 0000000..05849f3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,41,103,Greenland_0,0 +2,30,114,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Italy_0_count.csv new file mode 100644 index 0000000..59191bd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,26,118,Italy_0,1 +6,26,118,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Karangetang_01_count.csv new file mode 100644 index 0000000..23002ef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,16,128,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Kenya_0_count.csv new file mode 100644 index 0000000..91190b2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,97,47,Kenya_0,0 +2,23,121,Kenya_0,2 +3,12,132,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..6fd22a9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,24,120,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..17ad485 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,124,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..717bc42 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,10,134,Krysuvik-Trolladyngja_02,0 +3,18,126,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..048a2f2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,10,134,Krysuvik-Trolladyngja_03,0 +3,15,129,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_00_count.csv new file mode 100644 index 0000000..27ceddf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,29,115,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_02_count.csv new file mode 100644 index 0000000..017f0b5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,36,108,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_0_count.csv new file mode 100644 index 0000000..96f8069 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,20,124,Latvia_0,0 +1,5,139,Latvia_0,1 +3,0,144,Latvia_0,3 +4,0,144,Latvia_0,4 +5,6,138,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_1_count.csv new file mode 100644 index 0000000..808b943 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,9,135,Latvia_1,5 +6,0,144,Latvia_1,6 +8,81,63,Latvia_1,8 +9,21,123,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_01_count.csv new file mode 100644 index 0000000..5561ebe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,29,115,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_02_count.csv new file mode 100644 index 0000000..adaa0b0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,34,110,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mexico_0_count.csv new file mode 100644 index 0000000..e09d806 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,8,136,Mexico_0,1 +2,38,106,Mexico_0,2 +3,70,74,Mexico_0,3 +5,3,141,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..8b26803 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,138,Nyamulagira_00,1 +5,20,124,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..2350c6a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,3,141,Nyamulagira_01,1 +2,10,134,Nyamulagira_01,2 +5,24,120,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..25d5a40 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,3,141,Nyamulagira_02,1 +5,8,136,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..3a8f959 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,6,138,Nyamulagira_03,0 +2,4,140,Nyamulagira_03,2 +5,16,128,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..b5e84cc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,7,137,Nyamulagira_04,2 +5,16,128,Nyamulagira_04,5 +6,8,136,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..f0552b5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,16,128,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..cbfb00e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,10,134,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..8e27fbc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,20,124,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..f26a9da --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,20,124,Piton_de_la_Fournaise_02,0 +1,10,134,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..76cbab4 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,120,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..ac9b576 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,10,134,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..4162161 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,26,118,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..96557f6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,36,108,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..40b42fc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,17,127,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Poas_00_count.csv new file mode 100644 index 0000000..0539ffd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,16,128,Poas_00,2 +4,16,128,Poas_00,4 +5,8,136,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_10_count.csv new file mode 100644 index 0000000..a053331 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,128,Raung_10,0 +1,44,100,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_11_count.csv new file mode 100644 index 0000000..b190e5d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,16,128,Raung_11,0 +1,43,101,Raung_11,1 +2,12,132,Raung_11,2 +3,16,128,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_12_count.csv new file mode 100644 index 0000000..f562095 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,128,Raung_12,1 +2,30,114,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_10_count.csv new file mode 100644 index 0000000..dbbdcea --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,128,San_Miguel_10,1 +2,50,94,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_11_count.csv new file mode 100644 index 0000000..c72db99 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,32,112,San_Miguel_11,1 +2,36,108,San_Miguel_11,2 +3,50,94,San_Miguel_11,3 +4,25,119,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_12_count.csv new file mode 100644 index 0000000..573f1d7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,49,95,San_Miguel_12,1 +3,40,104,San_Miguel_12,3 +4,60,84,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_00_count.csv new file mode 100644 index 0000000..853e6e5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,20,124,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_01_count.csv new file mode 100644 index 0000000..28eb3d3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,124,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_10_count.csv new file mode 100644 index 0000000..46ee2a0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,128,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_11_count.csv new file mode 100644 index 0000000..cc90b3c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,20,124,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_12_count.csv new file mode 100644 index 0000000..5129309 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,25,119,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_31_count.csv new file mode 100644 index 0000000..796003d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,128,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..825a45e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,144,Santa_Maria_00,0 +1,32,112,Santa_Maria_00,1 +2,33,111,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_2_count.csv new file mode 100644 index 0000000..7c4fe09 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,46,98,Spain_2,1 +2,17,127,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_5_count.csv new file mode 100644 index 0000000..5cc691e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,25,119,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_01_count.csv new file mode 100644 index 0000000..51e04b6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,128,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_02_count.csv new file mode 100644 index 0000000..9436466 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,20,124,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sweden_0_count.csv new file mode 100644 index 0000000..f3c65d9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,24,120,Sweden_0,0 +2,25,119,Sweden_0,2 +3,44,100,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_00_count.csv new file mode 100644 index 0000000..ec11fea --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,128,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_02_count.csv new file mode 100644 index 0000000..b84b859 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,120,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_00_count.csv new file mode 100644 index 0000000..4b480a2 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,128,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_01_count.csv new file mode 100644 index 0000000..14bca61 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,120,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_02_count.csv new file mode 100644 index 0000000..4fa24a6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,128,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Ukraine_0_count.csv new file mode 100644 index 0000000..d7761f1 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(384, 384)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,55,89,Ukraine_0,1 +4,27,117,Ukraine_0,4 +5,10,134,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Australia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Australia_1_count.csv new file mode 100644 index 0000000..8d6934d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Australia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,30,34,Australia_1,0 +1,63,1,Australia_1,1 +2,19,45,Australia_1,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_00_count.csv new file mode 100644 index 0000000..6851424 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,12,52,Barren_Island_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_01_count.csv new file mode 100644 index 0000000..6a8a0c5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,4,60,Barren_Island_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_02_count.csv new file mode 100644 index 0000000..0cdd004 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,12,52,Barren_Island_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_10_count.csv new file mode 100644 index 0000000..85af066 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Barren_Island_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,52,Barren_Island_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_0_count.csv new file mode 100644 index 0000000..c5f722c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,20,44,Bolivia_0,0 +1,13,51,Bolivia_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_1_count.csv new file mode 100644 index 0000000..ecc679a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Bolivia_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,15,49,Bolivia_1,0 +2,9,55,Bolivia_1,2 +5,20,44,Bolivia_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv new file mode 100644 index 0000000..ed7c48f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,58,Chillan_Nevados_de_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv new file mode 100644 index 0000000..53ab7d9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Chillan_Nevados_de_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,6,58,Chillan_Nevados_de_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Copahue_20_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Copahue_20_count.csv new file mode 100644 index 0000000..e0265a8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Copahue_20_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,6,58,Copahue_20,1 +5,1,63,Copahue_20,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_00_count.csv new file mode 100644 index 0000000..e22739f --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,6,58,Etna_00,2 +4,12,52,Etna_00,4 +5,25,39,Etna_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_01_count.csv new file mode 100644 index 0000000..ddbe5cb --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,8,56,Etna_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_02_count.csv new file mode 100644 index 0000000..f7432ce --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,27,37,Etna_02,1 +2,16,48,Etna_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_03_count.csv new file mode 100644 index 0000000..a31e576 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Etna_03_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,22,42,Etna_03,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/France_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/France_0_count.csv new file mode 100644 index 0000000..1ebebfe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/France_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,42,22,France_0,1 +2,2,62,France_0,2 +3,12,52,France_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_00_count.csv new file mode 100644 index 0000000..fff39f7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,12,52,Fuego_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_01_count.csv new file mode 100644 index 0000000..bdb52d6 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_01_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,9,55,Fuego_01,0 +3,19,45,Fuego_01,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_02_count.csv new file mode 100644 index 0000000..465120d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Fuego_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,9,55,Fuego_02,0 +3,12,52,Fuego_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_0_count.csv new file mode 100644 index 0000000..b58c017 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_0_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,37,27,Greece_0,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_1_count.csv new file mode 100644 index 0000000..2194afc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_1_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,17,47,Greece_1,1 +4,7,57,Greece_1,4 +5,2,62,Greece_1,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_2_count.csv new file mode 100644 index 0000000..c173bcf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,18,46,Greece_2,0 +1,30,34,Greece_2,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_3_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_3_count.csv new file mode 100644 index 0000000..da0c8fa --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_3_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,12,52,Greece_3,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_4_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_4_count.csv new file mode 100644 index 0000000..51b7193 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_4_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,15,49,Greece_4,0 +2,8,56,Greece_4,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_5_count.csv new file mode 100644 index 0000000..b0d6de8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greece_5_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,2,62,Greece_5,2 +3,40,24,Greece_5,3 +5,3,61,Greece_5,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greenland_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greenland_0_count.csv new file mode 100644 index 0000000..d966084 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Greenland_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,22,42,Greenland_0,0 +2,20,44,Greenland_0,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Italy_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Italy_0_count.csv new file mode 100644 index 0000000..7f3e4ec --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Italy_0_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,19,45,Italy_0,1 +6,19,45,Italy_0,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Karangetang_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Karangetang_01_count.csv new file mode 100644 index 0000000..e31827e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Karangetang_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,9,55,Karangetang_01,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Kenya_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Kenya_0_count.csv new file mode 100644 index 0000000..1a666d3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Kenya_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,51,13,Kenya_0,0 +2,13,51,Kenya_0,2 +3,8,56,Kenya_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv new file mode 100644 index 0000000..d379c82 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,48,Krysuvik-Trolladyngja_00,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv new file mode 100644 index 0000000..6813b93 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,48,Krysuvik-Trolladyngja_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv new file mode 100644 index 0000000..9781c5a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,4,60,Krysuvik-Trolladyngja_02,0 +3,10,54,Krysuvik-Trolladyngja_02,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv new file mode 100644 index 0000000..cde9bc7 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Krysuvik-Trolladyngja_03_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,8,56,Krysuvik-Trolladyngja_03,0 +3,10,54,Krysuvik-Trolladyngja_03,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_00_count.csv new file mode 100644 index 0000000..0915795 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,48,La_Palma_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_02_count.csv new file mode 100644 index 0000000..97df864 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/La_Palma_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,29,35,La_Palma_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_0_count.csv new file mode 100644 index 0000000..198aea9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_0_count.csv @@ -0,0 +1,6 @@ +,events,not_events,event,granule_idx +0,15,49,Latvia_0,0 +1,5,59,Latvia_0,1 +3,0,64,Latvia_0,3 +4,0,64,Latvia_0,4 +5,3,61,Latvia_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_1_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_1_count.csv new file mode 100644 index 0000000..02713ba --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Latvia_1_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +5,6,58,Latvia_1,5 +6,0,64,Latvia_1,6 +8,43,21,Latvia_1,8 +9,10,54,Latvia_1,9 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_01_count.csv new file mode 100644 index 0000000..6d3c3a3 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,23,41,Mayon_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_02_count.csv new file mode 100644 index 0000000..aeeba42 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mayon_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,24,40,Mayon_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mexico_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mexico_0_count.csv new file mode 100644 index 0000000..5dc670b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Mexico_0_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,6,58,Mexico_0,1 +2,22,42,Mexico_0,2 +3,34,30,Mexico_0,3 +5,2,62,Mexico_0,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_00_count.csv new file mode 100644 index 0000000..e393f2d --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_00_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,4,60,Nyamulagira_00,1 +5,12,52,Nyamulagira_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_01_count.csv new file mode 100644 index 0000000..ebf2a1a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_01_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,2,62,Nyamulagira_01,1 +2,8,56,Nyamulagira_01,2 +5,20,44,Nyamulagira_01,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_02_count.csv new file mode 100644 index 0000000..1550d07 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,2,62,Nyamulagira_02,1 +5,6,58,Nyamulagira_02,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_03_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_03_count.csv new file mode 100644 index 0000000..d38c08a --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_03_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,2,62,Nyamulagira_03,0 +2,4,60,Nyamulagira_03,2 +5,12,52,Nyamulagira_03,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_04_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_04_count.csv new file mode 100644 index 0000000..bcf22bf --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_04_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,5,59,Nyamulagira_04,2 +5,9,55,Nyamulagira_04,5 +6,3,61,Nyamulagira_04,6 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_05_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_05_count.csv new file mode 100644 index 0000000..f972f89 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Nyamulagira_05_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +5,9,55,Nyamulagira_05,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv new file mode 100644 index 0000000..2964239 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,56,Piton_de_la_Fournaise_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv new file mode 100644 index 0000000..e72d1b8 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,15,49,Piton_de_la_Fournaise_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv new file mode 100644 index 0000000..ebc8ac5 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_02_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,15,49,Piton_de_la_Fournaise_02,0 +1,5,59,Piton_de_la_Fournaise_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv new file mode 100644 index 0000000..4ae10de --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,48,Piton_de_la_Fournaise_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv new file mode 100644 index 0000000..5690051 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,8,56,Piton_de_la_Fournaise_11,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv new file mode 100644 index 0000000..f47690b --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +4,18,46,Piton_de_la_Fournaise_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv new file mode 100644 index 0000000..5e9e159 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,18,46,Piton_de_la_Fournaise_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv new file mode 100644 index 0000000..da3b4b9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Piton_de_la_Fournaise_32_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,10,54,Piton_de_la_Fournaise_32,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Poas_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Poas_00_count.csv new file mode 100644 index 0000000..8c52b6e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Poas_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +2,16,48,Poas_00,2 +4,9,55,Poas_00,4 +5,6,58,Poas_00,5 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_10_count.csv new file mode 100644 index 0000000..c42e7da --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +0,16,48,Raung_10,0 +1,28,36,Raung_10,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_11_count.csv new file mode 100644 index 0000000..ad61bfe --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +0,12,52,Raung_11,0 +1,32,32,Raung_11,1 +2,12,52,Raung_11,2 +3,9,55,Raung_11,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_12_count.csv new file mode 100644 index 0000000..9d406df --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Raung_12_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,16,48,Raung_12,1 +2,28,36,Raung_12,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_10_count.csv new file mode 100644 index 0000000..59a532e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_10_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,12,52,San_Miguel_10,1 +2,35,29,San_Miguel_10,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_11_count.csv new file mode 100644 index 0000000..3172511 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_11_count.csv @@ -0,0 +1,5 @@ +,events,not_events,event,granule_idx +1,23,41,San_Miguel_11,1 +2,28,36,San_Miguel_11,2 +3,42,22,San_Miguel_11,3 +4,15,49,San_Miguel_11,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_12_count.csv new file mode 100644 index 0000000..a339e99 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/San_Miguel_12_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,39,25,San_Miguel_12,1 +3,28,36,San_Miguel_12,3 +4,42,22,San_Miguel_12,4 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_00_count.csv new file mode 100644 index 0000000..39de106 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +3,12,52,Sangay_00,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_01_count.csv new file mode 100644 index 0000000..7c2ce99 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,12,52,Sangay_01,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_10_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_10_count.csv new file mode 100644 index 0000000..9bfe6ac --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_10_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,12,52,Sangay_10,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_11_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_11_count.csv new file mode 100644 index 0000000..2492f57 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_11_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,48,Sangay_11,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_12_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_12_count.csv new file mode 100644 index 0000000..23bd552 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_12_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,16,48,Sangay_12,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_31_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_31_count.csv new file mode 100644 index 0000000..ec2680e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sangay_31_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,12,52,Sangay_31,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Santa_Maria_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Santa_Maria_00_count.csv new file mode 100644 index 0000000..b7121fd --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Santa_Maria_00_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,0,64,Santa_Maria_00,0 +1,21,43,Santa_Maria_00,1 +2,24,40,Santa_Maria_00,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_2_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_2_count.csv new file mode 100644 index 0000000..bf45c6c --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_2_count.csv @@ -0,0 +1,3 @@ +,events,not_events,event,granule_idx +1,24,40,Spain_2,1 +2,10,54,Spain_2,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_5_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_5_count.csv new file mode 100644 index 0000000..416bdba --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Spain_5_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +0,15,49,Spain_5,0 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_01_count.csv new file mode 100644 index 0000000..73bdd20 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,12,52,Stromboli_01,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_02_count.csv new file mode 100644 index 0000000..b7ed98e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Stromboli_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +2,16,48,Stromboli_02,2 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sweden_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sweden_0_count.csv new file mode 100644 index 0000000..6329906 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Sweden_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +0,12,52,Sweden_0,0 +2,16,48,Sweden_0,2 +3,26,38,Sweden_0,3 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_00_count.csv new file mode 100644 index 0000000..c259ca9 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,48,Telica_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_02_count.csv new file mode 100644 index 0000000..e50bfcc --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Telica_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,18,46,Telica_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_00_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_00_count.csv new file mode 100644 index 0000000..7946182 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_00_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,16,48,Tinakula_00,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_01_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_01_count.csv new file mode 100644 index 0000000..945189e --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_01_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,52,Tinakula_01,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_02_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_02_count.csv new file mode 100644 index 0000000..e5a05ef --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Tinakula_02_count.csv @@ -0,0 +1,2 @@ +,events,not_events,event,granule_idx +1,12,52,Tinakula_02,1 diff --git a/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Ukraine_0_count.csv b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Ukraine_0_count.csv new file mode 100644 index 0000000..cdafac0 --- /dev/null +++ b/scripts_and_studies/patch_study/study_analysis/img_size_(1400, 1400)_overlap_0.75_windowSize_(512, 512)/Ukraine_0_count.csv @@ -0,0 +1,4 @@ +,events,not_events,event,granule_idx +1,38,26,Ukraine_0,1 +4,17,47,Ukraine_0,4 +5,10,54,Ukraine_0,5 diff --git a/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128).pkl b/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(128, 128).pkl new file mode 100644 index 0000000000000000000000000000000000000000..b97c976cda97e2ea0289e49fc9caefe954c22f2a GIT binary patch literal 229 zcmZo*oqCG_0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZFF=&`aF=K1 zrR0}G6nZy!HvpA!6_@75r&M!*U%Pq|*$xJLNO01mH!&aP} zn3GsEW%86BR0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZFF=&`aF=K1 zrR0}G6*4gTGB5%aaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZFF=&`aF=K1 zrR0}G6*e&XHZTGeaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{FI5YD)D0X$V#` literal 0 HcmV?d00001 diff --git a/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512).pkl b/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.25_windowSize_(512, 512).pkl new file mode 100644 index 0000000000000000000000000000000000000000..fbf2901af4cf3d719015ae55b4c4482bdc058b84 GIT binary patch literal 231 zcmZo*oqC4>0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZFF=&`aF=K1 zrR0}G6*4gSGB5!Zaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{FMZAx1drlIlm}XFSj(OBr~z7D6w)% z4_k3^VoqYwl*v0X^X7D?6xK2S*Q>q65Jfm5E literal 0 HcmV?d00001 diff --git a/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256).pkl b/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(256, 256).pkl new file mode 100644 index 0000000000000000000000000000000000000000..86db721aa824869942e932bdd3afabcf274648e2 GIT binary patch literal 231 zcmZo*oqC4>0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZugdKReBCPF z!(E=4my%x&Rmi~T%fJX!$W>gL8=qR1npaXhrAIWcG`FBqFFC&`RWG+RrzA76s3@^= zN)KCca$-(m(Ui$kdRW0qfOJYpWkD)PgelWvN@qv=l%OdZ-poCWHdFlk{Jj1H0hsV+ oD4CMv%)!qLaqyHjpt>GDkfnL~B`}LKI5YU2ISiGN)RgK00IZZ(RR910 literal 0 HcmV?d00001 diff --git a/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384).pkl b/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(384, 384).pkl new file mode 100644 index 0000000000000000000000000000000000000000..1d0fed20a108acf2fca794fbaeca9e691a7ef75f GIT binary patch literal 231 zcmZo*oqC4>0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZugdKReBCPF z!(E=4my%x&RoKAj+rS7^$W>gL8=qR1npaXhrAIWcG`FBqFFC&`RWG+RrzA76s3@^= zN)KCca$-(m(Ui$kdRW0qfOJYpWkD)PgelWvN@qv=l%OdZ-poCWHdFlk{Jj1H0hsV+ oD4CMv%)!qDaqyHjpt>GDkfnL~B`}LKI5YU2IUeyKsVUV109FoI?f?J) literal 0 HcmV?d00001 diff --git a/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512).pkl b/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.33_windowSize_(512, 512).pkl new file mode 100644 index 0000000000000000000000000000000000000000..cfada9ecd5df61e9f6fd0648c9f0b1f5a7a94f18 GIT binary patch literal 231 zcmZo*oqC4>0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZugdKReBCPF z!(E=4my%x&Rmi~P%fJLw$W>gL8=qR1npaXhrAIWcG`FBqFFC&`RWG+RrzA76s3@^= zN)KCca$-(m(Ui$kdRW0qfOJYpWkD)PgelWvN@qv=l%OdZ-poCWHdFlk{Jj1H0hsV+ oD4CMv%puDJaqyHjpt>GDkfnL~B`}LKI5YU2If~hl)RgK00J6bXiU0rr literal 0 HcmV?d00001 diff --git a/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128).pkl b/scripts_and_studies/patch_study/study_dicts/img_size_(1400, 1400)_overlap_0.5_windowSize_(128, 128).pkl new file mode 100644 index 0000000000000000000000000000000000000000..1ec17d12ce9b314759ef6d0993c19cf0042028fa GIT binary patch literal 229 zcmZo*oqCG_0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZA3&7$aF=K1 zrR0}G6nZy!HvpA!6_@75r&M!*U%Pq|*$xJLNO01mH!&aP} zn3GsEW%86BR0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZA3&7$aF=K1 zrR0}G6*4gTGB5%aaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZA3&7$aF=K1 zrR0}G6*e&XHZTGeaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZA3&7$aF=K1 zrR0}G6*4gSGB5!Zaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F&M!*U%Pq|*$xJLNO01mH!&aP} zn3GsEW%86BR0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZUqF=haF=K1 zrR0}G6*4gTGB5%aaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZUqF=haF=K1 zrR0}G6*e&XHZTGeaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F0&1sd^l)Y7CZ?yx7iU(bPVuc^1){boJ?!~qsYN-71ykJZUqF=haF=K1 zrR0}G6*4gSGB5!Zaut{6#;2C0=9Lsr=@HE<%`K?ZOU^G!)ypl-DalMMDoU)J(!*Aq zoS2hXG-dLX9#*gtAe~ZDS&#}6Val|a(%I2IC1{F\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:19.085419\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:19.641478\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 8345\n", + "The number of not events is: 248848\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:20.276300\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:20.869580\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 1102\n", + "The number of not events is: 6395\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:21.489450\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:22.031996\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 1211\n", + "The number of not events is: 37957\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:22.671860\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:23.205285\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 1090\n", + "The number of not events is: 33335\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:23.814567\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:24.337760\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 1220\n", + "The number of not events is: 14080\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:24.972964\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:25.602705\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 4582\n", + "The number of not events is: 50651\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:26.253836\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:26.860206\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 541\n", + "The number of not events is: 1907\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:27.510186\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:28.070182\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 541\n", + "The number of not events is: 1907\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:28.706862\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:29.320521\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 3326\n", + "The number of not events is: 18706\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:29.990727\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:30.572495\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 2158\n", + "The number of not events is: 65315\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:31.202741\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:31.782865\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 2189\n", + "The number of not events is: 7603\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:32.533486\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvIAAAIzCAYAAABiL/1dAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACwGklEQVR4nOzdd3gU5doG8HtmN5tsKiFACCR0lt6bFJWuYOOzgIKoSBMRuyLHetSjx4IiCooioogeBYEDggooAkoJUkV6QkiBFJKQun3m+yNn10yy6bs7u8n9uy4vmWfas7O7k2dn3vcdQZZlGURERERE5FdEtRMgIiIiIqKaYyFPREREROSHWMgTEREREfkhFvJERERERH6IhTwRERERkR9iIU9ERERE5IdYyBMRERER+SEW8kREREREfoiFPBERERGRH9LWdsXU1FSMGjXK5TyNRoPAwEA0bdoUXbt2xc0334yRI0e6XHb//v245557AAB//fUXtNpapwQAkGUZiYmJaN++fY3Wmzp1KuLj4/HAAw/gscceA6B8jVu3bkXr1q3rlFt1GY1GZGdnIzY21hlbt24dFixYgOjoaOzatcsreXjTzp07sXTpUpw5cwYA0LJlS2zatAmCIFS6nqv3W633rSKdOnUCAAwcOBBffPFFpa+pdO4///yz4jNQF64+U3XheE3VFRYWhj/++MMt+/Ymdx+36jp16hRuueUWAMB//vMf9OnTx+VymzdvxuOPPw4A6NatG9atW1fhNidMmICTJ09i2rRpeOaZZzx2TrFYLFi3bh22b9+O06dPIzc3F8HBwWjWrBkGDRqECRMmoEePHuXW87XvbV088cQT+P333/HTTz8hIiLCGX/mmWewfv36StddsmQJRo8eXekyu3fvxowZMxR/r1y5cuUKPv/8c/zyyy9ITk6GzWZD8+bNMXToUEyfPh1xcXE1e2FVcPwdrcyGDRvQpUuXSpf5z3/+gxdffBGvvvoq7rjjjgqXS09Px4oVK7B7925cvHgRABAbG4vhw4fj/vvvR1RUlGL5AwcO4O6778bLL7+MSZMmVfNV1c6vv/6KH3/8EYcOHUJWVhasViuaNm2KHj16YNy4cRg7diw0Go1Hc3CHkSNHIi0trcr3wtcdPHgQn3zyCQ4fPozi4mLExMRgzJgxmD17NsLDw6u9nep8h0s7ffq0Ytpd35HS6lY1/4/BYEBoaKhzWpIkFBQUICUlBRcuXMAPP/yAYcOGYdGiRQgLC3PHLl06duwYXnnlFbRu3Rpvv/22x/bjSZs2bcJbb72FefPm+fWXpiaOHTuGBx54AJIkoVGjRoiNjUV0dHSVRby/vd/x8fFYvXo17r77bq/u15OfqTZt2qBx48ZVLhcSEuLW/XqDmt/FTp06ISoqCtnZ2Th8+HCFhfzu3bud/z5x4gRycnJcvh/5+fnOPyhDhw71TNIAkpOTMWPGDFy4cAGCICAuLg5du3aF2WxGUlISzp49i9WrV+Ouu+7CCy+8UOV33B99//33+P777/HCCy8oinig5AcaAHTp0gV6vd7l+o0aNap0+ykpKfjHP/5RZR4JCQmYNm0aMjIyIAgCWrZsiaCgIFy4cAFff/01Nm7ciA8++ABDhgyp3gurBsdnrFevXhUWqcHBwZVu49ixY3jzzTer3Ncff/yBOXPmID8/HxqNBq1atYIkSTh//jzOnTuH//73v1i+fDk6d+7sXGfAgAEYN24cXn/9dVx11VUe+bGYkpKCJ598EkeOHAEA6PV65w+m1NRU/PTTT/jpp59gMBiwePFitG3b1u05kNKWLVvwxBNPQJIkREdHo2XLljh79iyWL1+OLVu24KuvvkJMTEy1ttWmTRv07du30mWOHDkCSZJcfr7c8R0pR66llJQU2WAwyAaDQd63b5/LZcxms/ztt9/Kffr0kQ0Gg3z33XfLZrNZsUxxcbF87tw5+dy5c7VNxWn+/PmywWCQn3jiiRqvm5aWJp87d07Ozs52xkq/xqSkpDrnVx0jRoyQDQaD/O233yri+fn58rlz5+QLFy54JQ9vevPNN2WDwSCPHDlSNhqN1V6vovdbjfetMo5cDAaD3Lt3bzk5ObnCZUvnnpKS4pb9V/SZqgtHjt99953btulrPHHcauKxxx6TDQaDPHfu3AqXGTp0qGwwGORx48bJBoNB3rBhg8vlfvnlF9lgMMg9evRwfsfcfU4xm83y2LFjZYPBIM+ZM0dOT09XzDeZTPKqVavkLl26yAaDQX7vvfcU8y0Wi/NvgcVicUtO3paXlycPGTJEHjt2rGy1WhXzLBaL3K1bN9lgMMhZWVm12v6pU6ecn0uDwSC/8847LpezWq3Oz8Rtt90mJyYmOuddvnxZnjNnjmwwGOR+/frJly9frlUuZaWlpckGg0Hu1auXLElSrbaxb98+ecCAAc7XV9F3Ly8vT77qqqtkg8EgT58+Xc7IyHDOS05Olu+8807n3xSTyaRYNzk5We7WrZt8//331yrHypw8eVIeNGiQbDAY5BEjRsibNm1S1Dw2m03esmWLfP311zuPf3x8vNvzcCe1z4N1lZCQ4PzerVq1yvnZzMrKkidPniwbDAb5rrvuctv+vvzyS9lgMMh9+/aVz58/r5jnju+IKx5tI6/T6XDHHXdg2bJl0Gg0iI+Px+eff65YRq/Xo3379jVuCuNuLVq0QPv27at1dVENYWFhaN++PVq1aqV2Km6Xm5sLoOQXalBQkMrZeI4gCCguLsaCBQsgy7La6ZCPGzx4MADg0KFDLuefOnUKWVlZaNu2LW688UYAyiv0pR04cAAA0K9fP+d3zN3nlB9++AFJSUlo0aIFFi1ahOjoaMX8wMBA3H333XjwwQcBAJ999hkKCwud8wMCApx/CwICAtySk7d9/PHHuHz5MubMmVOumWhiYiKsVisaN26MJk2a1Gi7drsdq1evxsSJE5GWllbl8r/++isSEhIQHByM999/X3HVNyoqCu+++y5at26NgoICfPPNNzXKpSKOuw0dOnSo8Z0Ws9mM999/H9OmTUNeXl6Vy69btw45OTlo1qwZFi1ahGbNmjnnxcXFYcmSJYiIiEBqaip+/PFHxbpxcXG4+eab8dtvv2Hnzp01yrMyhYWFmDdvHnJzc9GrVy+sW7cON954I3Q6nXMZjUaDcePG4dtvv8WAAQNQUFCAxx9/HFeuXHFbHqT08ccfw2q14oYbbsDdd9/t/Gw2adIES5YsQVhYGA4ePIg9e/bUeV+nT5/GG2+8AQB45ZVX0KZNG8X8unxHKuOVzq4DBgxwtkdbvnw5TCaTN3ZLfkKSJABQnPDqoylTpgAoKapWrVqlcjbk6xyFfHZ2Ni5cuFBuvqNd+5AhQ3D11VcDAH7//XeXPxIdhbwnm9X8+eefAIDOnTtX+l12NFMqLi529ompD3JycvDll18iIiIC48aNKzff8Ue8Y8eONdpuXl4ebr75Zrz88sswmUyYMmVKlbf29+3bBwDo27evyyYDgYGBGDZsGIC/37e6qu3ru3DhAq677jp88MEHAIBHH30ULVu2rHSd/fv3AwBGjBihaNbr0LhxY2dzNFev78477wQA5z7d4fPPP0dycrLzx1NlTaTCwsKwcOFChIaGIjMzs1pNiajmzGYztmzZAgC4/fbby81v1KgRrr/+egAlTeLqQpZlPPvsszCbzbjuuuswfvz4csvU9jtSFa+NWuMo5K9cuaLo9LZ//3506tQJnTp1gs1mU6xz9OhRPProo7j66qvRrVs3DBgwABMnTsTHH3+suJLj2IajA8KmTZvQqVMnTJ06FUBJu7ROnTph6NChyMjIwKxZs9CzZ08MHDgQTzzxBICSDgidOnXCu+++6zJ/SZKwatUq3HjjjejRoweGDBmCRx55xOVJorLX5OCY7zghvf/+++jUqZPzastzzz2HTp064f333wdQcgWiU6dOuOaaa1xub+/evZg3bx6GDRuG7t2746qrrsKMGTOwdetWl8uPHDkSnTp1QkJCAuLj4zFr1iwMGjTI2RFn8eLFKCoqcrluZex2O9asWYOpU6diwIAB6N69O4YPH46nnnoKf/31l2JZx2t2vG/r1693HpfU1NQK91HV+12aLMtYv3497rzzTvTp0wd9+/bFbbfdhq+//rrCq+IWiwWff/45Jk2ahH79+qFnz5647rrr8PrrryMzM7PGx8Rh1KhRuOmmmwAA77zzDpKTk2u8jby8PHzwwQeYMGEC+vTpg169emHcuHF44403yuVW1WdKLY7v2quvvlrhMh9++CE6deqEyZMnK+I1fW8cn5WJEyfCarVixYoVuPnmm9GrVy/0798f99xzD7Zv365YpzrHLSMjA6+++iquu+46dO/eHX369MH48ePx6quvuvzslj4nOL7zVYmNjXW2rXV1Vd5x9X3YsGHo1q0bGjVqhJycHBw/flyxXHFxMU6cOAFAWchXdE5xvD+7du3CqVOn8Mgjj2DIkCHo3r07Ro0ahddeew05OTnl8nFcRT969KjzLpsr0dHR2LBhA7Zv347u3bs7447zdKdOnZw/XErHqvqv7Ofabrdj/fr1uOeeezBw4EB0794dI0eOxPPPP4+kpKRyeTmOR233t3btWhiNRlx//fUIDAwst33HH3GDwVDhsXGloKAA586dQ/v27bFixQq88MILVQ4KMXHiRLz99tuYPn16hcs4zn+OCyl15Xh9Ne0In56ejkuXLqF379749ttvMWfOnCrXmTNnDt544w3cdtttFS5T2evr2bMn2rVrh2PHjuHo0aM1yreifa1evRpASafysnejXImOjnZe3Nm4caPzToRa58eEhATcdddd6NGjBwYPHuy8slyZkydP4vnnn8e4cePQt29fdO/eHUOGDMHMmTPL3QkB/v6OPfjggygoKMArr7yCa665Bj179sTYsWPx73//G1lZWeXWcxyT6v7nOAefOHECZrMZgiBU+OPXEa+qA2pVNmzYgD///BPBwcF49tlnXS5T2+9IVdzS2bU6OnfujNDQUBQWFiI+Pt55NaAiW7duxWOPPQabzYbIyEh06tQJRUVFzi/exo0b8Z///AehoaEICwtD3759ceHCBWRnZ6Nx48Zo06ZNuROmxWLB9OnTkZSUhI4dO+LixYtV/vJ3eP7553HgwAE0atQIBoMBFy5cwI8//oitW7fi1VdfrfSEUh0xMTHo27cvjh8/DovFgtatWyMqKqpaHTBeeeUVfPnllwBKfmF27twZGRkZ2L17N3bv3o1x48bhrbfecnm7es2aNVi5ciV0Oh3atGmDvLw8JCYmYsmSJdizZw+++uoriGL1fu8VFhZixowZOHz4MICSkWdatWqFpKQkbNy4Ed9//z3mz5+P++67T/GaHe9bVFSUs3OIqz+EDtV9v4GSIuzAgQOIiIhA27ZtkZaWhuPHj+P48eM4duwYXn/9dcXymZmZmDVrFk6ePAlBENCiRQs0atQI586dw8qVK7FhwwYsXboU/fr1q9YxcZXPvn37kJWVhQULFmDVqlXVPr6nTp3CzJkzkZmZCVEU0b59e2i1Wpw9exYrVqzAd999h/fffx+DBg0CULfPlCfddtttiI+Px5YtW7BgwQKXHX7++9//AgBuvfVWZ6wu743VasXMmTOxd+9eREZGon379jh//jz279+P/fv346WXXsJdd90FoOrjlpycjDvvvBPZ2dkIDg52NltISkrCqlWrsH79eqxatQpdu3at87EaMmQIvvnmGxw6dAj/93//54wXFRXh8OHDCAgIwKBBgyCKIoYMGYItW7Zg9+7dilFhDh8+DJvNhiZNmig6/lVl165d+M9//gNZltGmTRuEhIQgOTkZn3/+OX799VesW7dOcTX06quvxooVK5CdnY077rgD06ZNw9ixY9G0adNy267uiAyBgYGVXn3OzMx0/tFu0aKFM15UVISHHnrIebs8OjoasbGxSEpKwrfffouNGzfirbfewtixY53rREVFVXmlu7Sy3yPHlb9rr73W5fKOTm5t27bFxo0bsXv3bmRkZCAiIgL9+/fHbbfd5vLqckhICBYuXIhx48ZVe5QTg8FQ6Q8Gi8WCX375BUDJbX53cLy+2NhYfPPNN9i7dy9ycnIQFRWFIUOG4JZbbnF5p6Z58+b4+OOPKzxurvTs2RM9e/ascH5OTo6zMKvo9V199dVITEzE5s2b0atXr2rv25XTp08jOzsbACq82ObKmDFjsGzZMlitVuzZswfjxo1T5fyYk5ODe++9F4WFhejQoQMuXLhQrllIWV999RVeeeUVSJKEiIgItG7dGiaTCampqdi1axd27dpV4ahKhYWFmDx5Ms6cOeNs1nz27Fl89tln2Lx5M5YvX64odg0GQ4UXRV1x1A+OCwJNmzatsNmuowZMS0uD1WqtVbM+o9GIhQsXAgBmzpxZ4Q+52n5HqlTbxvXV6exa1k033VSuc+K+ffuc23F0DrLb7c5OXJ988olss9mcyx8/ftzZyWXZsmWK7Ven8+PAgQPls2fPyrJc0jmroKBAlmVZvvvuu8t1Hiq9nsFgkN99911nJyyTySS/9NJLssFgkLt166borOvqNZVV0bGrqGPJd999JxsMBvnqq69WxD/99FPZYDDIXbt2lb/88kvZbrc7523ZskXu3bu3bDAY5FdeecXlfgwGg/zMM8/I+fn5sizLsiRJzs4aBoNB3rZtm8v8XZk9e7ZsMBjkoUOHKl6X2WyWFy1a5NzmTz/9pFjP8b7Nnz+/2vsqvV5l73fnzp3lFStWON83i8XifN8MBoPifZMkSZ40aZKz80tCQoJzXn5+vrxgwQLZYDDIgwYNkjMzM6udp2Nfv//+uyzLsrx9+3Zn7LPPPqsw99KdXQsKCuRhw4bJBoNBnjRpkqLDbFZWlvPY9+vXr1xnWl/r7FpcXOzsAL9z585y848ePersEOT4ftb2vSn9Xezdu7e8ceNGxXr33nuv87xQ9rta0XF79NFHZYPBIM+bN08uLCx0xrOyspw5lu1IV7pTf3FxcbWP1ebNm2WDwSCPHz9eEXd8hu6++25nbM2aNbLBYJDvvPNOxbLvvvuuy+9JRecUx7nQYDDIs2bNUnQk3L59u7OzatnPrizL8hNPPKE4Z3bq1Em+4YYb5BdffFH+/vvvFYMJlFXTTuoZGRny8OHDZYPBID/99NOKeY6OwjfccIN89OhRZ9xkMsnvvPOOs+Pv6dOnq9xPdWRnZ8udOnWSDQaDnJub63KZwYMHywaDwfnZL/vf0KFD5YMHD1Zrf67+XtWE4xh06tRJPnXqVK22UVpRUZHcuXPnSl/f2LFjqz2oRV3PWY8//rjzHFJRZ94ff/zR+Rmpq3Xr1jlf58WLF6u9ntVqdX5u3n33XVmW1Ts/jh492tlBvbCw0NlJ2NV7cf78eWcH0qVLlyo6p+fm5sqPPPKIsza6cuWKc57jnGMwGOTu3bvLmzZtcs5LT093voYbbrihwtqpJhz10c0331zhMqdOnXLmVNtO6I6aqX///s73pCx3f0dK8+oDoRxD0FXVsSMnJ8d5e2XixImKX6TdunXDY489htGjR1c5TJcrkydPdv5C1+l0Lq+AuHLjjTfi0Ucfdf5aCwwMxAsvvIB+/fo5b9l7m9lsxocffggAePjhhzFlyhTF1d1x48Y5b8999dVXLm/5d+7cGa+99ppzWFBBEDBlyhTn1ZyDBw9WK5cjR45gx44dAIDFixc7rwoDJcf5kUcecTav8uZQkbfffjumTZvmfN8CAgIwf/585/teupnXzz//jMOHD6NZs2ZYvnw52rVr55wXFhaGf/3rX+jVqxdyc3OxcuXKWuc0atQo3HzzzQCAd9991+Vt/rK++uorZGZmokmTJli2bJli/OcmTZpg8eLFMBgMKCgowEcffVTr3GpqwYIF1brVWbo5iV6vd7Yh3rhxY7ltOmLXXXed831yx3vz8MMPO5s2OdZ76qmnAJSck86fP1+t1+y4PXrzzTcrhtVs0qQJnn32WVx99dXlrgKW7tRf0bCDrgwePBiCICAhIUHRCdDRrMbRNh6A8y7nsWPHUFBQ4Iw72sdXdRe0rKioKCxevFjRkXDUqFHOK46umvu88cYbeOKJJ5zHRZZlnD17Fl9//TUef/xxDB06FFOnTq32eaUixcXFeOCBB3Dx4kX069cPr7zyinPeqVOnsHnzZuj1enz66aeKK7eBgYF47LHHMG7cOJjNZixdurROeTjEx8dDlmU0bdrU5d+lrKws5xXbyMhILFq0CAcOHMDRo0excuVK9OzZE1lZWZg5c2a1zgd1sWHDBixbtgxASZNXd9zmP3PmjLMJS6tWrfDJJ5/g0KFDOHjwIJYuXYo2bdogKSkJ06dPr7TZlTssXbrU2d75wQcfLDeWvIPjb9zZs2dx+fLlOu2z9GuqSV2i1WqdQ5Q6mqupdX6cPXu280pySEhIpXfFf//9d2g0GnTr1g1z5sxRXMVu1KgR5s+fD6DkTmhF59Wnn37a2UkfKLlrtnTpUoSFheHs2bP46aefKtx/dRmNRgCV3+EvfaXesXxNSJKEL774AkBJE6CKakpPfke8WshbrVYAqLK3bmRkpPPD/eSTT+Lw4cOKdm4TJ07EkiVLMHHixBrnUNsmEa7G/hYEwZmDO3u/V9cff/yB/Px8aLVaZ1u7ssaPH4/o6GjY7Xb8+uuv5eYPHz7c5fvhGEWodEFQGUcR37NnzwpvT99///0ASm53eauTW+lb5w5BQUHOJjyl2/o62kqPHj3a5TiugiA4C3DH662t5557Dk2bNoXJZMKCBQuqbKfquA0+YcKEcmNTAyU/lhx9BH755RevjYrjGFO3qv/KPj/CcUv4559/RnFxsTNutVqxefNmxTKAe96bESNGlIuVHi0rPz+/Wq/Z8dl5++23sX37dkXn/R49emD58uVYsGBBtbZVlcjISHTp0gWyLDubrAHAb7/9BkBZnDdv3hzt27eHzWZz/nCyWCw4duwYANR4vPDBgwe7/ANY2blBo9Fg1qxZ2L17N95++23cdNNNih8CkiQhPj4eU6ZMqfUPTkmS8Pjjj+Ovv/5CXFwcPvjgA8Xt6G3btgEoeQBbRbe4HQ/b2rVrF+x2e63yKM1xkaSiccklScKMGTNw880349tvv8W4ceMQHh6OoKAgDB48GKtWrUKnTp1QWFiIRYsW1Tmfiqxduxb/+Mc/IMsyevToUa3x6KsjLCwM06ZNw+23346vv/4a11xzDUJCQhAaGopRo0bh66+/RtOmTXHp0iUsX77cLft05YMPPsB7770HoORH58yZMytctnXr1s4LX5X1yaoOs9ns/HdNm2a46u+gxvmxJrXRlClTcPToUXz11Vcu51dVHAcHB7us3xo3bowxY8YAKHntdVXTB27VZiSZnTt3IikpCXq93vlwU1c8+R3xWht54O8Tf1VP0dJoNHjyySfx/PPPY+fOndi5cyciIiIwaNAgDB06FMOHD0fz5s1rlYOr9prV0a1bN5dxx9WMrKws5Ofn1+gJYXWVmJgIoOSEVNGvQEEQ0LVrV2RkZLj8ZVz6j2xpji9idf/IOXKp6DgBJUWfo5/E+fPna9zpqzYq+kPuuGJYughz/LjYsWOH86prWY5iLykpCbIs13oIqYiICLz88suYM2cODh06hM8//xzTpk2rcHnHe1fZ8XXMy8nJwZUrVxAZGVmr3Gpi9uzZij8o1dWvXz/nFYjt27c7/8js3r0bOTk5iI2NxcCBA53Lu+O9cfVZKP0Hp7qf9UceeQT79+/H+fPnMXfuXOh0OvTp0wdDhw7FtddeW6N26NVx1VVX4cSJEzh06BCGDx+O8+fPIyUlBVFRUeXamg8bNgwJCQnYt28fRo8ejaNHj8JiscBgMFT4Xa9IRd8dxzGrrM1qSEgIbrrpJucdkAsXLmDv3r3YunWrc2Sdd999F127dq1Rm2IAeO2117Bjxw6Ehobio48+Kjdk8NmzZwEAx48fd/Z7KMtReBUVFSEjIwMtWrTAzp07a/Tj4rbbbnOOhOG42l7RAw+jo6Odd39cCQoKwsyZM/Hkk0/i119/rXVb3cosWbIEixcvBgB07doVn3zySaVXKmuiffv2eOaZZyqc37hxY9x999149913sX379kqPRW3YbDa8/PLLzqE0hw0bhnfffbfS87MoiggNDUV+fr7z/aut0lfh8/LyKrwLUJYkSc47baXP12qcH2tTGwUEBODYsWM4c+YMUlJSkJycjDNnzjjrAQAuLyp16tSpws+eo6YqfWfqlVdecXbYr47FixejadOmzh81pX9olVW6BqjJ3VIHR9+YkSNHVno3xpPfEa8V8haLxTkKRHXGjJ84cSJat26Nzz77DHv27EFeXh62bt2KrVu3QhAEXHvttfjnP/9Z44K+NuOUBwQEVNgBofStdaPR6NVC3jFyT1VPy3UU+a5GoamqY0V1r+xWN5eQkBAUFhbWakSc2qjJHyrHa7h06RIuXbpU6bJ2ux1FRUXVbprlysiRI3HzzTdj48aNWLRoEYYPH17hH+/qHN/SuRQVFXmlkK+L2267DQsXLsSmTZucf6gcnbj+7//+T/GHxh3vTVWFUXU/6126dMHGjRuxbNkybNu2DVeuXHF2mn3nnXdgMBjw4osvon///tXaXlWGDBmCFStWOJuyOK7GDxkypNwf46FDh+Lzzz93XpGvy7CT7iwkW7dujdatW+POO+9EfHw85syZg8LCQnz11Vc1KuRXrlyJVatWQaPRYNGiRS47MjouGGVnZ1erQMvPz0eLFi2QnZ1d4Zj9rpS+w+EokmpTCDg4OkcbjUbk5ORUa+ST6rBYLHjuueec362BAwc6mzB4k+NHZ3XGwa+JwsJCPPzww/j9998BlNyFfuONN6rVaVCv1yM/P7/ad+MqUvrH+6lTp6r9fTt79qyzpULZJk7ePj/WtDZav349Fi5cWG6UmdjYWNx+++349ttvK1y3soLXUVOVfk/OnDlTo++mo3B3/A2srDm3oxmLKIo1bq5ttVqdLR1KNxOqrdp+R7xWyB87dsz5ga3uyACDBg3CoEGDYDKZ8Mcff+DAgQPYvXs3/vrrL/z666+YPXs2NmzY4PHHfFutVlgsFpcnhtK3l10V8a6Kg9K3yurC8YGvqvmL4wtR+keHu1U3F8d8T+ZSW44/ws8//7zLplSe8Nxzz2Hv3r3OUWzeeustl8uFhIQgLy+v0uNbug21Lx7fsm655RYsWrQIe/bsQU5ODgICArBjxw4IgoAJEyYollXjvalMXFwcXn31Vbz88ss4fvw44uPjsXfvXuzfvx9nzpzBjBkz8MMPP7hlhKD+/fsjICAAx48fh91udxYsrtq8Dxw4EDqdDmfPnkVeXp6zLbonx48HgL/++gsLFixwXnCp7Af0wIEDMWXKFCxbtqza/RKAkuYDjiHx/vGPfyj6B5Tm+Kzcf//9zra61XHrrbfW6u4S8PcFg6oKQrPZXOGxKd28rqrhJasrPz8fc+fOdY7gcuONN+L111/3yDM7ZFmG1WqtcNuOv4U1be5QmfT0dMycOdN5RXr69Ol46qmnql0TON6vut6Z6NmzJxo3boycnBxs37692t83R5OYgICAck3ffPn8uH79eufV5auvvhpjxoxBx44d0b59e0RERMBqtVZayFdWAzn+xpW+q1Hb5644LhpnZWVVWMM5iuZWrVrV+LPpaN7cqFGjCs9HpXnqO+K1NvJr1qwBUNKUY8CAAZUua7FYkJCQ4BzfNSgoCMOGDcNjjz2GdevW4Z133gFQ8svXMZyPp5W+VVSa43ZPq1atnF+m0m+CxWIpt05dxiIvzdGh5cKFC4px9UuTJMmZY0XtN92ZS9mx4ktLSEhwfoE9mUttOYYRdNyad+XSpUs4cuQIMjIy3LJPRxMboGSYwM8++8zlctU5vo7xwyMiInz+ajxQ0txg6NChsNls2L59O3766SeYzWYMHDgQsbGximXVeG9ckWUZqampzmENRVFEz549MWPGDHz66afYtGkTQkNDYTQaK3yGQ03p9Xr06dMHRqMRZ8+exaFDhyAIgstCXq/Xo2/fvpBlGSdOnMDhw4eh0+mqPOfWVXh4OE6fPo309HTs3bu3yuUdt/Gr+yTtY8eO4cknn4QkSZg8eXKlxUp1Piu5ubk4ePAgLl686Jb+JI4ntVbUSe2dd95B9+7dXT6UxsHx3W7cuLFbnjDuGA7YUcQ/8MADWLhwoUeK+CeffBLdu3fHww8/XOEyjtfnrqe4Z2RkYOrUqThz5gw0Gg1eeuklPP3009Uu4k0mk7P9dk2ftFuWRqNx9lNbv349UlJSqlwnNzfXOfb8jTfeWO5qsC+fHx2dpSdMmIDly5dj0qRJ6Nu3r7P/Vnp6eqXrJyQkVPi9O3nyJAD3DIvaoUMHBAcHw263O/sKleXoe+R4gFhNOC6UOC62VMaT3xGvFPLx8fHOntazZs2q8tfGrl27MH78eMyaNctlIVz6l2vpdq2OL7AnOvp999135WJ2ux1ff/01gJJmEg6liyhXPwAcnbFcqclr6NevHyIiImCz2ZwnhLI2b96MrKwsCIJQrV+MteXoSHjs2LEKb4E5ess3b97cLSMluPv9dryGLVu2VHhL/h//+AcmTZrkfJCYO4wcOdLZ+a6izkOO3DZs2ODyEeYWi8X5WSz7Pnvye1FXjucvbNu2zfkAEVdXRdV4b1wdtytXruC6667DtGnTXD4Mrm3bts7xzN31oB2gpJ08UHIeysvLQ+fOnSssPhwF/vfff4+ioiL069evVk0KayIuLs75h3DhwoUVXlgASo7LDz/8AKCks31V0tLSMGfOHBiNRgwdOrTCh604OD4re/fuRUJCgstlFi5ciMmTJ2Pq1Klu+V44CqmKiqTOnTvDarXizJkz5R7YBZTc9f38888BlIw25o67zE8++SSOHj0KQRDw/PPPuxzP210cDz/ct2+fy6Yd+fn5zvbrN9xwQ533Z7FYMGfOHCQnJyMgIADvvfdehf0hKlK62Cw9ykttzZo1CwaDAUajEQ8//HClI48YjUY8/vjjyM7ORtOmTfH000+7XM5Xz4+OzsEV9dlau3at89+u+tJcvnzZZafbzMxM510KxxNX60Kn02HUqFEA4Pz8lXblyhXnuaj0czqqy/E3oPRzOyriye+IRwv5oqIirF69GrNnz4YkSRg8eHC1vmzXXHMNIiMjceXKFcyfP1/RvqmwsNB5ezUmJkbxqFtHc4KLFy+694Wg5NbO6tWrnX+cCwsL8fTTT+Ovv/5CRESEc0QWoOSk7rgt9Oabbzpv38myjE2bNmHJkiUV7sfROaM6baT0ej1mzZoFoKRzR+n8AOCnn37CCy+8AKCkz4Hjj40n9OnTx/lAj4cfflgx3KDFYsHixYudt9pqctWkMu5+v8ePHw+DwYD8/HxMnz5dcXWjsLAQL730Evbs2QNBEJzH3V2effZZNG3atMKi4q677kJ0dDQuX76M2bNnK674ZGdn45FHHsGZM2cQEhKCefPmKdatyWfK2xwdhPbu3Yt9+/YhJCQE1113Xbnl1HhvXB23yMhI5w+lf/zjH4pCUZIkrF69GmfOnIEoioofVEajEQkJCUhISKjVEGeOixeOCwqVDSXpmOfohOXpZjUOCxYsgF6vx5kzZ3DHHXdg+/bt5S7EJCQk4MEHH8TBgwfRpk2bCkfbcigoKMCsWbNw+fJldOnSBYsXL66y2Un//v0xbNgw2Gw2zJw5U3FhwWKxYOnSpc47xDNnzqz2A9kq42guevnyZZdXY0ePHu0sFh977DFFMZ+dnY2HH34YJ06cQGRkJB588ME657NhwwZnoTR79uwaNbfIzMxEQkJCjZ48fccddyAyMhJGoxHz5s1zPogHAFJSUjBr1ixkZGSgTZs25Z5GWhuffPKJ8+rliy++6BzppCYcn4vWrVsrfhTn5OQ4v6s1odPp8O677yI6OhonTpzAbbfdhi1btii+A3a7Hbt27cLEiROxZ88eBAcH4+23367wDoyvnh8dn+VvvvlG8eO1sLAQ77//Pj7++GNnrHRn0tKeffZZxfDPqampmDNnDoqLizFw4MAaD5dbkQceeAABAQHYuHEjPv74Y2eNlJ2djblz56KwsBD9+vVTDJkNlJx7HJ8DR7PwshyfwdJ1aEU8+R1xS0O8V199VdFxwmazIT8/HykpKc4r5iNHjsRbb71VrbZ/Op0O7733HqZPn44tW7bg559/RqtWrSCKIlJSUlBcXAy9Xo9///vfituEjo4Chw4dwvXXX48OHTrggw8+qPPrCwgIwLBhw/Dyyy/jww8/RHR0NBITE1FcXIyQkBAsXrxY0TFJFEU8+uijeP755xEfH49rr70Wbdu2RWZmJrKysjBixAjk5OS4fDR0165dcebMGSxfvhw7d+7E2LFjKz2xT58+Hampqfj666/x8ssv4/3330dcXBzS09OdTXiuu+66Kq9iucObb76JBx54AIcPH8Y999yDli1bonHjxjh//jwKCwuh0Wjw6KOPuuWKDOD+9zsgIABLly7FjBkzcPLkSdx4441o27Yt9Ho9kpKSnM2CFixYUOORNqoSERGBV155BQ888IDL+eHh4fjoo48wa9YsHD58GGPHjkWHDh2cT3a1Wq1o1KgRFi5cWO6JfDX9TNXEsmXLnEVRVR544IFyT2/U6XS46aabnG0gb7nlFpcdBtV4byo6bi+//DImTZqEM2fO4MYbb0RsbCzCwsJw8eJF51W4xx57THFr+NixY86hyb744otyfzSq0qNHD+eIT0Dlhbzjar1jbGx3/UGsSq9evfDhhx/imWeeQWJiIubOnYvg4GC0bNkSQUFByMzMdP7R79KlC95///0qO4u/9957OHfuHICSH1aPPfYYTCaTy6t8TZs2dY7K8vbbb2P27Nk4evQo7rrrLsTGxiIiIgIpKSnOCyv33Xcf7rzzTre89ujoaHTq1AmnT5/GwYMHFc95AEo+50uWLMG0adOQnJyM22+/3fm5cXx/IyMj8emnn9a5mQcAxfB1+/fvr/QCWteuXfH88887p9955x2sX78eLVu2dA57W5VGjRrhgw8+wJw5c/Dnn39i3LhxaN26NbRaLc6dOwdJkhAXF4fly5fXqUMwUPJjzHH3QqvVYt26dVi3bl2Fy1977bUuz6uOZhFlzxerV692/h2padPdDh06YN26dXjssccQHx+Pxx57DMHBwc76JTU11fn569y5M959991K7wb46vnxsccew4MPPohz585h1KhRzouEFy5cgNlsRlxcHARBQHJysstmNmFhYQgMDMSUKVPQtm1bBAUF4cyZM7Db7ejcuTPeeustt/V97NChA5577jm89NJLWLhwIb744gs0a9YM586dg9lsRsuWLV0O+bpt2zbnMMI///xzueZMdrvdeY51NSR0WZ78jrilkC87JrgoitDr9WjXrh169OiBm2++GYMHD67RNgcNGoQ1a9bgs88+w8GDB5GUlAStVovmzZtj2LBhuP/++xWP5AZK2mslJibiv//9L1JTU2G1Wt1ye1sQBLz//vv45JNPsH79epw+fRqRkZEYP348HnjggXInbaDkCnjz5s2xcuVKHDt2DAkJCWjbti1mz56NKVOmVHglav78+TAajdizZw/Onz9f5VUBQRDw0ksvYcyYMfjqq69w5MgRnDx5EpGRkRgxYgRuv/12jB49us7HoDoaNWrkfET9xo0bcfr0aWRlZSE6OhrXX389pkyZ4pbH1jt44v2Oi4vD+vXr8fXXX+Onn35CQkICTCaT80rs1KlTPdbeeMSIEZgwYQI2bNjgcn7Xrl3x/fff44svvsD27duRnJwMQRDQtm1bjBw5EpMnT3Y50kVNP1M1kZSUVO0H2FR0y/fWW291/qGq7Pamt9+bio5bs2bNsHbtWnz66afYvXs3UlJScOnSJURFReGGG27A3XffXe0O/dWl1WoxYMAA7NixA8HBwZVuXxAEDBkyBBs3bkRUVJTbh8OszODBg/Hjjz/iv//9L3bv3o1Tp07h0qVLMJvNiIqKwogRI3D99dfjpptuqlaHrtJNdKp6iJTjUetAyZ2T1atXY926dfj++++d7ffDw8Nx7bXXYtKkSc5b7u5yyy234M0338SuXbvKdUYESq5ibty4EZ9//jm2bduG5ORkXL58Ga1bt8bIkSNx//33u6VvS25uruKKbOnnD7jiro61/fv3x/fff48VK1bg119/RWpqKrRaLTp37ozrrrsO9957b52LeKCk3nA0L7TZbFWOZuKqP5YkSc5O445mje7SpEkTrFq1Cjt37sT333+PI0eOIDExEbIso1mzZhgyZAjGjRuHMWPGVOs74IvnxxEjRmDt2rVYunQpTpw4gcTEROj1ehgMBowdOxZTpkzBp59+iiVLlmDHjh3lxlcPDg7GmjVr8N577+GXX35Beno6OnTogJtvvhmTJ092ORZ+Xdx5553o0KEDli9fjsOHD+P06dOIjo7GiBEjKn1oWGWuXLnivINe3dEKPfUdEWRfbDhLRETkRwoKCjBy5EiYTCbs3r27Vk8e9xWfffYZ1qxZ42yeVd/s3LkTs2bNwqBBg5xP5Sxt69ateOqpp1zeNafaW7duHRYsWIDo6Gjs2rVL7XTqDa8+2ZWIiKg+CgsLwz333AOLxVLhXTV/sX//freMGuKrHJ0KH3roIZfz9+/f77bRdYg8jYU8ERGRG9x7772IjIzEqlWrXI645g8++eQT7N+/v8L+Ov4uISEBv/76K4YMGaJ4OqrD5s2b8c033+CRRx5RITuimvPaA6GIyDfU9FH0pT3//PNu7edAVJ+Eh4fjpZdewiOPPIIvv/xSMZqZv7juuuswbty4cp376ou33noLQUFBeOWVV1zOv+qqq/Ddd9+5ZYhkIm9gIU/UwNT0UfSlVfXkXqKGztGZ96OPPsKtt97qd23lW7VqpXYKHrNv3z7s2LEDr776aoU/VKKiomrV+ZFILezsSkRERETkh9hGnoiIiIjID7GQJyIiIiLyQyzkiYiIiIj8EDu7ViA/3wi7ve5PhY2MDEFubpEbMqKK8Bh7B4+z5/EYewePs+fxGHtHQz7OGo2I8PC6Py3Y37GQr4DdLsFmq1shLwh/b4tdij2Dx9g7eJw9j8fYO3icPY/H2Dt4nAlg0xoiIiIiIr/EQp6IiIiIyA+xkCciIiIi8kMs5ImIiIiI/BALeSIiIiIiP8RCnoiIiIjID7GQJyIiIiLyQyzkiYiIiIj8EAt5IiIiIiI/xEKeiIiIiMgPsZAnIiIiIvJDLOSJiIiIiPwQC3kiIiIiIj/EQp6IiIiIyA+xkCciIiIi8kMs5ImIiIiI/JBW7QSIiIiIFGQZoikVgmSCrNFDFvWQAyIBgdcfiUpjIU9ERESqE4vPI+jilwjIi4c2/yhE2xXFfEnbCNbG18LS+FpYmo6HFNRCnUSJfAgLeSIiIlJNQM5v0CcvgS5rCwTIFS4n2q4gMPO/CMz8L+TTT8PUYgqK2zwOKbitF7Ml8i28R0VEREReJ1iyEfbn/Wh0cDwCszZXWsSXW1e2QZ/2ORrv6YvQE49CsBV4MFMi38VCnoiIiLxKl/k9Gu8diKD0tXXajiDboU9bgch9w6C9Eu+m7Ij8B5vWEBERkXfIMoIT/oWQ82+6nC1pw2GKuQvWxtfAFtYbUmA0BLsRgjUHAVf2QJf9CwIzN0GQTIr1NMbzaPTHdShq/xyMbR4HBMEbr4ZIdSzkiYiIyPMkG0JPPQ592srys7SNUNx+AUwt7oasDVPMk0Ud5IAImIPbwtxiCgrNGQi+8D70KcshSMXO5QTZjtBz/4TGlIbCzm9zhBtqEPgpJyIiIs+SLAg/NtVlEW9uMg65Q+JhbDWnXBHvihwYjSLDq8gZsg/WiEHl5utTlyPsz+mAZHFH5kQ+jYU8EREReY4sIeyvBxGYtVkZhoiCzguR3/s/kAKb13izkr4NrvT/AUXtn4UMZVOaoIzvEH50KiDZ6pQ6ka9jIU9EREQeE3LuZQSlf6uIyWIg8nutgiluZt3as4taFLebj4Ien0EWAhSzAi//gNCTjwJy9UfDIfI3LOSJiIjII4JSPkFw0juKmKwJQV7fDbA0u8lt+zE3vxV5fdZA1oQo4vqLXyA48XW37YfI17CQJyIiIrfT5vyO0FNPKWKyoEF+z89hjRzq9v1Zo0biSt/1kMUgRTwk8d8ISlvl9v0R+QIW8kRERORe5myE/TkdAiRFuLDLe7A0Geux3doaXYX8HisglylvQk8+Bm3+EY/tl0gtLOSJiIjIfWQZ2DcNGvNFRbio7VMwtbzH47u3NLuxZPjJUgTZgvBj90Cw5nl8/0TexEKeiIiI3CYo+UMgbZMiZmk8HMXt/+G1HExxM1Dcaq4ipjEmIezEXHZ+pXqFhTwRERG5haboLELOvKCISQFNUND9Y0DQeDWXoo4vwxoxUBELzNyIoJSPvZoHkSexkCciIqK6k2WEnnwEgqx8EFN+92W1Gie+zsQA5PdcCSmgsSIcevYFiMUJ3s+HyANYyBMREVGdBV38Errc3xSx4lYPwtpkjEoZAVJQbMndgFIEyYiwvx4CZKmCtYj8Bwt5IiIiqhPBkoWQM88qYvagVihq/5xKGf3N0mQsjHEzFTHdld8RlPKJShkRuQ8LeSIiIqqT0NMLINquKGKFXRYC2lB1EiqjsMM/YQ9qrYiFnn0RYvF5lTIicg+fLeSTk5Px+OOP4+qrr0bv3r1xxx13YNOmTeWWO3v2LB588EEMHjwYffr0wb333ouDBw+qkDEREVHDo70Sj6D0b5XB1nfC2vQ6dRJyRRuKgm4fKEKCVIzQU09yFBvyaz5ZyKelpWHixInYvXs37rjjDjz11FPQ6XR48skn8dFHHzmXS0hIwOTJk3Hs2DFMnToVjz76KC5duoR7770X8fHxKr4CIiKiBkCWEVqmSY2kjQD6vqtSQhWzNr4Wxtjpilhg9jboLv+oUkZEdSfIsu/9FH3iiSewefNmfPPNN+jVqxcAwG634/bbb0dCQgJ2796NiIgIzJgxA/Hx8di8eTPi4uIAADk5ObjpppvQqFEjbN68udY55OYWwWarW0cYQQCaNAnD5csF/MHvITzG3sHj7Hk8xt7B4+xeuoz/IuLYVEWs0PAaQvsv8MljLNjyEfl7f2gs6c6YXd8GOYPjAU2QipnVXEP/LGu1IiIjQ9ROQ3U+eUVeFEWMGDHCWcQDgEajwVVXXQWz2YyEhARcvnwZu3fvxqhRo5xFPAA0btwYt99+O86dO4ejR4+qkT4REVH9J1kQelY5Zrxd3wamVjMrWEF9sjYcRYZXFDGNMQnBF95TKSOiuvHJQv6tt97Chx9+WC5+4sQJiKKIFi1aOIv00sW+Q8+ePQGAhTwREZGH6FOXQ2NUdhYt6vASIAaqk1A1mZtPhLXRYEUs+PxCiMZklTIiqj2fLORLKygowJ9//on58+dj3759mDx5Mpo3b4709JLbYjExMeXWad685METqampXs2ViIioQbAXITjxbUXIGjEA5uj/UymhGhAEFHR+G3KpEkiQTAhJeFXFpIhqR6t2AlV56qmnsGPHDgAlV9/nzp0LACgsLAQABAcHl1snKKiknZvRaKzTvgWhTqs716/rdqhiPMbewePseTzG3sHjXH0mkwlWq8XlvPCLH0G0XlbEsuKehbmoAIIA6HQyCgvVa7ttt0vQaCq5Vim0hqb5PYhIX+kMBV76BtlN74clpKvnE6xEQIDOWcdUhp9lAvygkL/jjjtw++23488//8TKlStxyy23YPXq1ahOH12hDp9ud3agiIoKc9u2yDUeY+/gcfY8HmPv4HGunMlkQrfuHZGZkVFuXnAgkPgugIi/Y5sPAzdOmeC1/KoiarSQ7LZKl4kKBRIXAeH6kmkBMv5cNRbj3vR8fpVpFh2NC0lJ1SrmAX6WGzqfL+RHjRoFABg9ejR69OiBuXPn4v3333e2gzeZTOXWcVyJDw8Pr/V+c3OLYLfXfdSaqKgwZGc3zB7l3sBj7B08zp7HY+wdPM7VU1CQj8yMDLzx8U/QBysvbPXB14gWlihiRb0/xuIv/76SrdcHwmg0eyXXsnKzM/HiI7filQ82IqJR40qX/QufYzD+fsLr9b2AdV8uQir6ezpNl4zFRZg/6zpcupSNsLDKa5iG/lnWaDhqDeAHhXxpo0aNQmhoKI4fP47x48cDgLOtfGmVtZ+vCXd9MWSZz5vwNB5j7+Bx9jweY+/gca6c49gE6UMQpP/76awa2Yi+5q8VyyaLQ5GnGwjH9WNBAIKDAwEhQJVjHKQv+t//lbm7ckq+Hz3NGxCCLGdsmPgxNuiuAQTvdyN0HK+afD75WW7YfK6z6+XLl3HdddfhiSeeKDfParXCbDZDr9ejR48eEEURx44dK7ecI9anTx+P50tERNRQdLGvRTByFLFD2gdUyqbubIIeh7SzFbGm8gm0kXaolBFRzfhcId+kSRMIgoBt27bh3LlzinkrVqyA1WrF6NGj0aRJEwwZMgRbt25FSkqKc5mcnBx899136Ny5M7p2VbfDChERUX0hyFb0sH2piKWIQ5El9lApI/c4rZmAK0IbRayvbRkg1615LZE3+GTTmn/+85+YMWMGpk6diilTpiAyMhL79+/HTz/9hL59+2L69JJHLM+fPx+TJk3CXXfdhfvuuw86nQ6rV69Gfn4+3nuPD3cgIiJyl3bSVoRC2fn1kNZ3H/5UXbKgxUHtHIyyznfGouQzaCPtQJJmlIqZEVXNJwv5QYMG4T//+Q8++OADrFy5EiaTCXFxcXjkkUcwY8YM6HQ6AIDBYMBXX32Fd955B0uXLoUoiujevTveeOMN9O7dW90XQUREVF/IMnravlCE0oVeyBR7q5OPm50XRyNXaIdIOdEZ62tbhiRxhCpt5YmqyycLeQDo1q2by6e7ltWlSxd88sknVS5HREREtdNC2o8m8mlF7Jj2XpWycT9Z0OCQdhZGWZ9xxkquyv+KJM1IFTMjqhx/ZhIREVGletqVV+PzhFZIFq9VKRvPOC+OQa7QThHra/uIQ8KQT2MhT0RERBWKlM4iTtqjiP2pmQpZ0KiUkWc4rsqXFiWfQZy0W6WMiKrGQp6IiIgq1N3+lWLaiEic0dykUjaeVXJVvq0i1su2Up1kiKqBhTwRERG5FIh8dLD/oIid0NwBuxBUwRr+TRY0OKZRtv2PkQ+hmXRUpYyIKsdCnoiIiFzqgh+ghck5LUGLk9o7VMzI885pbkAhmilivWyfqZQNUeV8dtQaIiIif2cymWC1WtROo8YKCgogCEBPYb0ifl4cCaPQVKWsvEMSAnBcOxVX2RY6Y22kX9FISsQVsV0laxJ5Hwt5IiIiDzCZTOjbrzsuZ2WqnUqtjO0BNBJSFbET2kkqZeNdpzS3oo/tYwSiwBnraV+JXeLLKmZFVB4LeSIiIg+wWi24nJWJNz7+CUH6ELXTqZErOZnok3yrIpYtdES60FeljLzLKoTghGYS+tiXO2Md7FtwQPswjEITFTMjUmIhT0RE5EFB+hDog0PVTqNGdKYE3NBbGTuhmQQIgir5qOG4djJ62FdBCzMAQAMbuti+xaGAB1XOjOhv7OxKRERECj21P0EsVSFYEIpzmvHqJaQCk9C43Gvual8DjWxWKSOi8ljIExERkZMg29FDu1URO6u5ETYhWKWM1HNcM0UxrUcu2pcZjpNITSzkiYiIyClW2oMw8bIidkrzfyplo65csQNSxUGKWHf7V4Asq5QRkRILeSIiInLqZFcOOZkldEWO2EmlbNRX9qp8lHwGMdIfKmVDpMRCnoiIiAAAevkyWku7FLFTmlsrWLphSBGHIU9opYh1t69WKRsiJRbyREREBADoaN8EETbntFUOQoLmehUz8gGCiOOayYpQK2kXQuWLKiVE9DcW8kRERATIMjrZNyhCp6VrYBX8a+hMTziruQkW/P0sABESOtu+UzEjohIs5ImIiAjR8hE0ki8oYn/aGtaQkxWxCiE4q7lREetsXwdRtqiUEVEJFvJERESEjvbNiunTF4E0ubtK2fieE5qJimk9ctFW2q5SNkQlWMgTERE1cBrZjHb2nxSxz3cDQMN5kmtVrojtcVHsr4h1tX2jUjZEJVjIExERNXCtpF0IRIEi9uXvKiXjw05oJimmm8tH0Vg6pVI2RCzkiYiIGryO9u8V0xfsvZCSrVIyPixJHI4iNFXEutrXqJQNEQt5IiKiBi1IzkGcpLz8/pdttErZ+DZZCCg3rn57+w/QysUqZUQNHQt5IiKiBqy9/UfF2PE2BOGMbZiKGfm209pbIZUqn3QoRvsy/QuIvIWFPBERUQNWtlnNeXEkLAhWKRvfVyREI0VU/tDpbOeY8qQOFvJEREQNVISUhKbyCUWs7HjpVF7Z5jXN5ONoLJ1WKRtqyFjIExERNVDt7T8oposRhYviIJWy8R8p4rBynV4729eplA01ZCzkiYiIGiJZRnvpR0UoUTMWsqBRKSH/IQtanNZMUMQ62DdDIxvVSYgaLBbyREREDVCUfAqN5AuKWIJmnErZ+J/TmgmQSz0wKxCFaMcnvZKXsZAnIiJqgMo2q8kXWiJT6KFSNv6nUGyJVHGwItbRvkmlbKihYiFPRETU0MhSuSETE8TrAUGoYAVy5YzmFsV0SykeofJFlbKhhoiFPBERUQPTXD6MUGQoYmxWU3MXxOEwI1QR62jfrFI21BCxkCciImpg2tuVnVxzhA7IFTuolI3/sguBSNRcr4h1tG8EZFmljKihYSFPRETUgAiyDW3tyk6Z53g1vtbOaG5WTEfIKYiWj6iTDDU4LOSJiIgakBjpIPTIVcQSxetUysb/ZQo9cEVorYgZ7BtVyoYaGhbyREREDUg7aZtiOkvoigIxVqVs6gFBKHdVvp19G8eUJ69gIU9ERNRACLINbew/K2LnNWNUyqb+OKe5UTGmvA6FaCPtUDEjaihYyBMRETUQrpvVsJCvqyIhGmniIEXMwDHlyQtYyBMRETUQbFbjOWc0NymmW0r7ECJnVLA0kXuwkCciImoA2KzGs5LEkbAgxDktQEYHjilPHsZCnoiIqAFgsxrPsgt6JGrGKmIGjilPHsZCnoiIqAEo36ymC5vVuFnZ0WsayUloKh9XKRtqCFjIExER1XeyhNb2XxUhNqtxvwyhN/KEOEWMY8qTJ7GQJyIiqueayccQjMuKWJI4SqVs6jFBwNkynV7b23+ERjarlBDVdyzkiYiI6rk29l8U07lCO+SJrStYmurirHiDYjoQBYiVflcpG6rvWMgTERHVZ7Jc7uFESeJIlZKp/wrFlrgk9FPEOth/UCkbqu9YyBMREdVjkfI5RMgpiliShoW8JyVorldMt5J2IUAuUikbqs9YyBMREdVjbSRls5pCNMdloYtK2TQMiZrRkKB1TmthRmvpV/USonqLhTwREVE91sZeplmNZgQgCCpl0zCYhUikilcpYu3ZvIY8gIU8ERFRPRUqpaGJfEoRY/t470jQjFNMx0r7ECjnVrA0Ue2wkCciIqqnynZyNaER0sU+KmXTsFwQh8OGQOe0CBva2bermBHVRyzkiYiI6qmyzWouaK6BLGgrWJrcySqE4IJ4rSLW3v6jStlQfcVCnoiIqB4KknMQLR9WxNisxrvKjl7TXD6EEDldpWyoPmIhT0REVA+1tu+ECMk5bYUeaWU6YJJnpYjDYEaoc1qAjHb2n1TMiOobFvJERET1UNlhJ1PEobALQSpl0zBJgg5JmtGKGJvXkDuxkCciIqpnAuQitJT2KWIXNCNUyqZhOycqm9c0lU8iQkpSJxmqd3y2x8vp06exZMkSxMfHo7CwEE2bNsWoUaPw8MMPIzw83LncyJEjkZaW5nIbP//8M2JjY72VMhERkU+Ik36DBlbntAQtksWrVcyo4bokDkAxohCMbGesvf0HHBLnqJgV1Rc+WcgnJibizjvvhFarxeTJkxETE4MjR45g9erV2LdvH7755huEhISgoKAAaWlpGD58OMaPH19uO40bN1YheyIiInW1LjNazUWxPyxCeAVLkyfJggaJmrHobv/aGWsv/YhD8gN8MBfVmU8W8q+++iqsVivWrl2L9u3bAwDuvPNOdO3aFf/617/w5ZdfYvbs2Th9+jQAYNSoUbjlllvUTJmIiMgniLIVraTfFDGOVqOuBM04RSHfSL6AKPkUsoUuKmZF9YHPtZE3m804cOAA+vfv7yziHSZMmAAAiI+PBwBnId+xY0ev5khEROSrWkgHoEOhInZBM1ydZAgAkCn0QL7QUhHrYP9BpWyoPvG5K/IBAQHYsmULJEkqN+/y5csAAI1GAwA4darksdOOQr6oqAjBwcEQeKuKiIgaqFbSLsV0htADxUIzlbIhAIAgIEG8Hn3snzpDbe3bsF/7GJvXUJ34XCEviiLi4uJczvvkk08AAIMGDQJQUsiHhYXhzTffxA8//ID8/HyEh4fjlltuweOPP47g4OA65VLX75ZjfX5HPYfH2Dt4nD2Px9g7vHmcS+/La++rLCNO2q0IpWiuqdP+1VrXHdTef2mJWmUhH4ZLaIbjyBJ6OGM1+czwnEGADxbyFVm3bh3WrVuHmJgYTJo0CZIk4ezZszAajbh8+TJefvll2O12bNu2DatWrcKff/6JVatWQafT1Wp/kZEhbss9KirMbdsi13iMvYPH2fN4jL3DG8dZp5MBAHp9IIKDAz2+PwAIt51DuEk5kltmyCgEa2u2f6O+5G9ncHDtc/fWay7LHbl7glnuhnxrG4SXGnqyo7ADRcH9/15ILhlpKCoqDOHh1fuM8pzRsPlFIb927Vq88MILCA4OxuLFixEaGgqTyYSHHnoIISEhuOuuu5zL3njjjXj11VexatUqrF27FpMnT67VPnNzi2C3l2/eUxOCUPIFy84ugCzXaVNUAR5j7+Bx9jweY+/w5nEuKCgAABiNZkAI8OzO/qe99WfFdBGa4aK5LWAx12g7RqMFAFBcbIYusGbrAiVFdHFxzddzh7rm7kkJ4mj0kZY7p+PMP2IP5jkvqxuNJflmZxfAYqn8UntDP2doNKJbL7r6K58v5BcvXowlS5YgNDQUy5YtQ8+ePQEAQUFBmDFjhst17r33XqxatQq//fZbrQt5AG77Ysiy+7ZFrvEYewePs+fxGHuHN46zY/vefE/j7MpmNcmaqyFDAOqw/5rmXrqph9qfZbX3X1aiOBp98HchHyZfRJR0ApfFbgBq95nhOaNh87lRaxysVivmz5+PJUuWoFmzZli9ejX69+9f9YoAoqKiAJR0fiUiImoIdHI+mstHFDE+BMq35AidkCco+wG2tW9XKRuqD3yykLfb7Xj88cexYcMGGAwGfPvtt+jcubNimZ07d+L666/HihUryq1/7tw5AEDr1q29ki8REZHaYqW9EGF3Ttugw0VxkIoZUTmCgPPiGEWonbSNl9Sp1nyykF+0aBG2bt2Knj17YvXq1YiJiSm3TIcOHZCcnIzVq1ejsPDv8XJtNhvee+89AMD//d//eS1nIiIiNbUq06zmkjgANkGvUjZUkUSNspAPl1MRJZ9WKRvydz7XRj4lJQUrVqyAIAgYM2YMduzYUW6ZqKgoDBs2DHPnzsXixYtx++23Y+LEiRAEAZs2bcJff/2FBx54AH369FHhFRAREXmXINsRV+ZprmxW45uyhc7IF1oiXP57dKG29q3IFjtXshaRaz5XyO/evRs2mw0AsHDhQpfL9O3b11nIt23bFp9//jnee+89iKIIg8GAd955BzfccIM30yYiIlJNU/k4gnBFEUthIe+b/te8ppd9pTPUTtqGP+R56uVEfsvnCvnJkyfXaKSZ8ePHY/z48R7MiIiIyLeVbVaTK7RDgdhSpWyoKoma0YpCPkJOQWP5DNLA94xqxifbyBMREVH1tZJ2KaaTxWtUyoSq47LQDQVQ9v/j6DVUGyzkiYiI/FiInIEo+YwilqxhsxqfJgg4r3Exek1dBvynBomFPBERkR8r+xAoM8KQIfRSKRuqrrKj1zSSk9AY51XKhvwVC3kiIiI/1kpSFvIp4lDIgs91gaMysoTuKERzRayjUH6kPqLKsJAnIiLyUxrZhBbSfkUshc1q/IMg4LxmtCLUASzkqWZYyBMREfmpGOkPBMDknJYgIkUcomJGVBOJZQr5KCEJXThwDdUAC3kiIiI/VbZZTabQA2YhUqVsqKYyhZ4oRDNF7LYBKiVDfomFPBERkT+S5fLt49msxr8IIpI0oxShCf1VyoX8Egt5IiIiPxQpJyBMvqiIcfx4/5MkjlRM92sLaM2pKmVD/oaFPBERkR+KK3M1vhDRyBE6qpQN1Va62AcmRChiwTk/qpQN+RsW8kRERH6olf03xXSK5mpAEFTKhmpLFrTl7qSE5P6kUjbkb1jIExER+RmdnI9o+YgixmY1/itJo2xeE5S/H4IlW6VsyJ+wkCciIvIzsdIeiLA7p20IRJrI4U78Vao4GFYEOacFSNBdZvMaqhoLeSIiIj/Tyr5LMX1RHAC7oFcpG6oruxCE1DLj/wdmblIpG/InLOSJiIj8iCDbESftUcSSRQ476e/KNq/RZf8C2ItUyob8BQt5IiIiP9JU/hNBuKKIcfx4/5ciXg1J1jinBckE3eWfVcyI/AELeSIiIj9StllNjtABhUILlbIhdzELEUhFb0UsMIvNa6hyLOSJiIj8SCtJOewkm9XUH4mycuQhXdZPgGRVKRvyByzkiYiI/ESInI4o+YwilqzhsJP1RSKUP8pE2xUE5P5WwdJELOSJiIj8Riu78mmuJoQjU+ihUjbkboVohvgEZSww63t1kiG/wEKeiIjIT8RJykI+VRwCWdCqlA15woY/lNO6zM2ALKmTDPk8FvJERER+QCOb0FKKV8TYrKb+WV+mkNeYL0Kbf0idZMjnsZAnIiLyAy2kA9DC5JyWICJVHKpiRuQJpy4ClqD2ilhg5maVsiFfx0KeiIjID5RtVpMp9IRZiFApG/Kk4sbXKaZ1HIaSKsBCnoiIyNfJcrmOrmxWU38VRV6vmNYWnYGm6KxK2ZAvYyFPRETk4yLlBIThkiLG8ePrL3Nob9h1zRUxXdaPKmVDvoyFPBERkY9rVaZZTQFikCt0UCkb8jhBhKWp8qq8LmuLSsmQL2MhT0RE5ONa2XcpplM0wwBBUCkb8gZL03GK6YC8fRAs2SplQ76KhTwREZEPC5Tz0Ew+qoixWU39Z2l8LWRR75wWZDt02dtUzIh8EQt5IiIiHxYr7YGIvx8IZEMQLooDVcyIvEITDEvj4YoQ28lTWSzkiYiIfFjZZjUXxQGwC0EqZUPeVLZ5jS57OyBZVMqGfBELeSIiIh8lyHbESnsUsWSRw042FGU7vIq2fATk/q5SNuSLtGonQERERK41k48hCHmKWLJmmErZkLcUFBT871/BCAnphaCiv/tICBf/iwJdPwgCoNPJKCgogCyrk2dZAQE6BAXxbpE3sZAnIiLyUWUfApUtdESREKNSNuRpVosZEET07t3FGXtuAvDKHX8vk31sBdqPWuH95KqhSdNmOHTwOIt5L2IhT0RE5KPiyowfz9Fq6je73QbIEl75YCPCIxoDAJrgLIBpzmXaNQNWrfoCuUI76PWBMBrNPnFF3mQswvxZ18FqtbCQ9yIW8kRERD4oRL6EKPmsIpaiYSHfEATpQ6APDgUAFMm9UWhujlCkO+cbdAdwLKAngoMDASHAJwp5Ugc7uxIREfmgss1qTIhAptBTpWxINYKACxplB+fW9p0qJUO+hoU8ERGRD2pVpllNijgUsqBRKRtSU7I4XDHdTP4TQXKOOsmQT2EhT0RE5GM0shEtpHhFjM1qGq6LYn9YEOycFiAjrszzBahhYiFPRETkY1pIB6CF2TktQYNUcYiKGZGaJEGHNHGwIsbmNQSwkCciIvI5ZZvVZAi9YBYiVMqGfMEFzbWK6ZbSXoiyuYKlqaFgIU9ERORLZLlcR1c2q6EUcRhkCM7pAJgQbd2vYkbkC1jIExER+ZBI+ZxiqEGA48cTYBIaI6PMqEWxll9UyoZ8BQt5IiIiH1K2WU0BYpArtFcpG/IlyZrhiukW1l3gIPINGwt5IiIiH9KqzGgkyZprAEGoYGlqSMremQmRLiFSPqdSNuQLWMgTERH5iED5CprJxxQxNqshh1yhPQoQo4jFlelPQQ0LC3kiIiIfESvtgQjJOW1DEC6J/VXMiHyKICBFM0wRipN+UykZ8gUs5ImIiHxE2WY1aeIg2IUglbIhX1T2Dk20dBQ6OV+lbEhtLOSJiIh8gCDbECvtUcTYrIbKuigOgA2BzmkR9nKfG2o4WMgTERH5gGj5GIKgvLLK8eOpLLugx8Uyza1a2dm8pqFiIU9EROQDynZazBYMKBKiVcqGfFlKmTs1sdLvEGS7StmQmljIExER+YCy48ezWQ1VpGwhr0cumsp/qZQNqYmFPBERkcpC5YtoXGY88GTNNSplQ76uQGyJXKGdIhbH5jUNEgt5IiIilZVtVmNEJLKE7iplQ/6g/DCUHE++IfLZQv706dN4+OGHcdVVV6F79+4YMWIEXn31VeTnKzsCnT17Fg8++CAGDx6MPn364N5778XBgwdVypqIiKjmyjarSRWHQBY0KmVD/qBs85qm8kno5SyVsiG1aNVOwJXExETceeed0Gq1mDx5MmJiYnDkyBGsXr0a+/btwzfffIOQkBAkJCRg8uTJCAwMxNSpUxESEoLVq1fj3nvvxYoVKzBw4EC1XwoREVGlNLIRLaQDihib1VBV0sXesAih0MmFzlic/Xec0U5QLynyOp8s5F999VVYrVasXbsW7du3BwDceeed6Nq1K/71r3/hyy+/xOzZs/H666/DbDZj3bp1iIuLAwDcdNNNuOmmm/DPf/4TmzdvVvNlEBERVamlFA8tzM5pCRqkioNVzIj8gSwEID1gKFpZfnLGWkm7cQYT1EuKvM7nmtaYzWYcOHAA/fv3dxbxDhMmTAAAxMfH4/Lly9i9ezdGjRrlLOIBoHHjxrj99ttx7tw5HD161JupExER1VgrSfk013ShNyxCuErZkD+5GKC8c9NS2gdRtqqUDanB567IBwQEYMuWLZAkqdy8y5cvAwA0Go2zSO/Vq1e55Xr27AkAOHr0qMv5REREPkGW0cquLOSTNdeqlAz5m4u6q4Giv6d1KEJz6TAuati0uKHwuSvyoigiLi4OrVu3Ljfvk08+AQAMGjQI6enpAICYmJhyyzVv3hwAkJqa6sFMiYiI6iZKPoUQKDsoJotsH0/VYxKbIkvoqohx9JqGxeeuyFdk3bp1WLduHWJiYjBp0iSsXr0aABAcHFxu2aCgIACA0Wis0z4FoU6rO9ev63aoYjzG3sHj7Hk8xt7hzeNcel8V7a+1tFMxnSe0Qr6mDXzpY1CXY6X251nt/ddFdXNP0QxDU9sJ53QraTfihSc8lFXFqvN5J/fzi0J+7dq1eOGFFxAcHIzFixcjNDQUsixXuZ5Qh09SZGRIrdctKyoqzG3bItd4jL2Dx9nzeIy9wxvHWacr+Tul1wciODjQ5TJtrigf4nMpcESFy3qTUa8DAAQHV5x7VdR6He7IXS21yT0reBSQ/7FzupGchGaBGSjUtPJIjhX6X9v8qKgwhIfzPOYtPl/IL168GEuWLEFoaCiWLVvmbP8eElJSaJtMpnLrOK7Eh4fXvrNQbm4R7Pby7fRrQhBKPtDZ2QWoxu8OqgUeY+/gcfY8HmPv8OZxLigoAAAYjWZACCg3P1jORJT9uCKWIA1DcbG53LLeZjRaAADFxWboAmueT3BwoGqvo665q6mmuQcHByLF0hFGREKPXGe8SdEvyNTe5bE8XTEaS/LNzi6AxeL5S/IajejWi67+ymcLeavViueeew4bNmxAs2bN8Mknn6Bz587O+bGxsQDgbCtfWmXt52vCXSd5WXbftsg1HmPv4HH2PB5j7/DGcXZsv6J9xdqUV+PNCMUlobfPvf81zaf0zXC1X4va+6+LqnJ3HmdBRIo4FAbpe+e8WPse/KXxbiFf1eedPMPnOrsCgN1ux+OPP44NGzbAYDDg22+/VRTxANCjRw+Ioohjx46VW98R69Onj1fyJSIiqqmyw06mikMhu7hyT1SVVM1QxXSMdAAa2b/uRlDt+GQhv2jRImzduhU9e/bE6tWrXV5Zb9KkCYYMGYKtW7ciJSXFGc/JycF3332Hzp07o2vXruXWIyIiUptGNqGltE8R49NcqbZSxasgl+oiHQAToqXDKmZE3uJzTWtSUlKwYsUKCIKAMWPGYMeOHeWWiYqKwrBhwzB//nxMmjQJd911F+677z7odDqsXr0a+fn5eO+991TInoiIqGotpAMIwN99vCSUNI8gqg2zEIksoRuayX/3uYiT9uCi5ioVsyJv8LlCfvfu3bDZbACAhQsXulymb9++GDZsGAwGA7766iu88847WLp0KURRRPfu3fHGG2+gd+/eXsyaiIio+so2q8kUesEsNFInGaoXUsQhaFaq83Ss9Dv243EVMyJv8LlCfvLkyZg8eXK1l+/SpYvzQVFEREQ+z8XTXC+wWQ3VUapmKPrZ/x6GsrGcgBA5HUVCcxWzIk/zyTbyRERE9VVj+TRCkaGI8WmuVFdZQjeYoBx2O9a+R6VsyFtYyBMREXlRa2m3YjpfiMUVoZ1K2VB9IQtapInKNvGxEgv5+o6FPBERkRe1su9UTCeLV/OZ9uQWqeIQxXRLaR8E2aZSNuQNLOSJiIi8RC9nK0YWAYAL4rUqZUP1TapGWcgHohDN5D9Vyoa8gYU8ERGRl8TZlc1qLAhButhPpWyovikWmiFbMChibCdfv7GQJyIi8pLyT3MdDIlPcyU3Ktu8Jk76XaVMyBtYyBMREXmBRjaV63zIp7mSu5V9sFhT+QSC5ByVsiFPYyFPRETkBS2l/eWe5posXq1iRlQfZYi9YYVeEWsp7VUpG/I0FvJERERe0Fr6VTGdIfSBWYhUJxmqtyQhABfFgYpYHNvJ11ss5ImIiDxMkO1obf9VEUvSDFclF6r/Usq0k4+V9gCypFI25Eks5ImIiDysmXwMeuQqYhfEESplQ/Vdapl28nrkool8SqVsyJO8UsgXFBR4YzdEREQ+qbV9h2I6W+iIAjFWpWyovisQY5EntFLEYjl6Tb1U60J+1KhReOONN6pc7qmnnsK4ceNquxsiIiI/J6ONpCzkeTWePK3s6DVsJ18/1bqQT0tLQ3Z2dpXLJScnIz8/v7a7ISIi8muNkYQIOUURS9KwkCfPKjuefDP5GAJktpCob7TVXfD+++9HYmKiIrZt2zYMHz68wnWKi4tRUFCA9u3b1zpBIiIif9YOyqe5FqI5soXOKmVDDcUlsT9s0EELCwBAhB0tpXgkaUapnBm5U40K+RkzZjinBUGA0WiE0WisdL3w8HDMnz+/9hkSERH5sXaCspC/oBkOCII6yVCDYRP0SBf7Ilba54zFSr+zkK9nql3IDxs2DDt27IAkSZBlGaNHj8aYMWPwzDPPuFxeEAQEBgaicePGEHjCIiKiBqhFJNBcOKmIJbF9PHlJqjhUUcjH2fcAWpk/JOuRahfyABATE+P890MPPYROnTqhZcuWbk+KiIioPri5r3LajDBcEvu6XpjIzVLEIbgKC53ToUhHIzkRVwQ2ea4valTIl/bQQw+5Mw8iIqJ6Z0J/5XSyeDVkIUCdZKjBuSK0QyGaIxTpzlictAdXRBby9UWtC3kAKCwsxMaNG3H27FkYjUZIkuunhgmCUK2hKomIiOoLwZaPEV2VsQscrYa8SRCQohmCLvZ1zlCs9Dv+xFQVkyJ3qnUhf+nSJUyePBnp6emQZbnSZVnIExFRQxN8ZQd0pf7K2hFQbkhAIk9LFYcqCvkY6SC0shE2Qa9iVuQutS7kFy9ejEuXLqF169a4+eab0axZM2i1dbrAT0REVG+E5P6kmE4TB8EqhKiUDTVUaeJASNBAhB0AoIEVMdIfSNFcrXJm5A61rrx37dqFyMhIrFmzBuHh4e7MiYiIyL9JZgRf+UUR4mg1pAarEIYMoRdi5EPOWKy0h4V8PVHrJ7sWFhZiwIABLOKJiIjKCMjZDdFe6JyWISBZc62KGVFDlqoZrJiOk35XKRNyt1oX8q1atUJmZqY7cyEiIqoXAjM3KaYzhR4wCk1UyoYaulRxqGI6Qk5GqJSmUjbkTrUu5O+44w4cO3YMf/zxhzvzISIi8m+SrVwhn6QZqVIyRMBloTOMiFTEWpZ6UBT5r1q3kZ8wYQIOHDiAWbNmYdKkSejVqxciIiIqXH7w4MEVziMiIqovAq78DtF6WRE7L45RKRsiAIKINHEQOkg/OkOx0l6cxm0qJkXuUOtCfuDAgRAEAbIsY+XKlZUuKwgCTpw4UdtdERER+Y3AjA2K6Qy5EwpEPgWd1JUmXqUo5FtI8RBkO2RBo2JWVFe1LuQHDBjgzjyIiIj8n2wv16zmnDxcnVyISknTDAZsf08HIR9N5BPIEnqolxTVWa0L+VWrVrkzDyIiIr8XcGUfRItyIIhzGK5OMkSlFAnRyBXaIVJOdMZipX3IElnI+7Nad3YlIiIipcCM9YrpIxeAPMSplA2RUpo4SDHd0s4Or/6u1lfkU1JSarR8XBxPZEREVI/JEnQZGxWhNfuBaP75Ix+RKg5Gd/vXzulo+SgC5CI+cdiP1bqQHzNmDARBqNay7OxKRET1nTYvHhpLuiK2Nh6Ye7tKCRGVcUnsDzu00PyvsbwIG2Kkg0jWXKNyZlRbtS7kW7Ro4TIuSRLy8/NRXFwMoKRTbNOmTWu7GyIiIr9QdrQai74Tzlw6rU4yRC7YhGBkCL3QQj7ojLWU9rKQ92O1LuR/+eWXSuefPXsW//znP3Hx4kW89957td0NERGR75MlBGb8VxEqjLoBAAt58i1pmsFoYfu7kI+V9qqYDdWVxzq7duzYEUuXLkVeXh4WLVrkqd0QERGpTpv3BzRm5SPvixrfoFI2RBVLFa9STDeSkxAiX1IpG6orj45aEx4ejgEDBlR59Z6IiMifBWYqr8bbQjrBGtxJpWyIKpYtdIEJEYpYLEev8VseH37SaDSioKDA07shIiJShyyXa1ZjbnaLSskQVU4WNOWHoZRYyPsrjxbyO3bsQHx8PFq1auXJ3RAREalGm38YGlOyImaOnqBOMkTVkFameU1LaR8E2a5SNlQXte7sOmXKlArn2e125OTkOMeanzhxYm13Q0RE5NMCMzcopm3B7WEP7QYU8m40+aY0zVX43wiUAIAg5CFKPoXLQjf1kqJaqXUhf/DgwSqX0el0mDJlCqZOnVrb3RAREfkuWS437KQ5+v+Aaj5nhUgNhUILXBFao5F8wRlrKe3DZZGFvL+pdSH/xRdfVDhPFEUEBwejbdu20Ov1td0FERGRT9PmH4bGmKSIWdg+nvxAmjgYjex/F/Kx0l4cxXQVM6LaqHUhP3DgQHfmQURE5HcC09copu36trCF9VQpG6LqSxUHo5v9P87paOkItLIRNoEXYP1JrQv50lJSUhAfH4+srCzodDpERUVh4MCBiImJccfmiYiIfI9sR2D6d4qQqfkdbFZDfuGS2B8StBD/11heAxtipD+Qorla5cyoJupUyOfl5eH555/Htm3bXM4fOXIkXnnlFTRu3LguuyEiIvI5ATm7obGkK2LmGA7uQP7BKoQgQ+iJGPmQM9ZS2stC3s/UupA3mUy49957cerUKYSFheGaa65BbGws7HY7UlJS8Pvvv+Pnn3/GxYsX8c0330Cn07kzbyIiIlUFpn+rmLaG9YY9xKBSNkQ1l6YZjBjb34V8LMeT9zu1LuRXrlyJU6dOYfjw4Xj77bcRGhqqmF9YWIgnn3wSO3fuxOrVqzFt2rQ6J0tEROQT7CYEZm5UhMzN71ApGaLaSRWvQn8scU5HyokIkTNQJESrmBXVRK0fCLV582ZERkbinXfeKVfEA0BoaCjeeecdNGrUCJs2bapTkkRERL5Ed3krRFu+c1qGAHPz21TMiKjmLgtdYUaYItbCzqvy/qTWhXxycjIGDBiA4ODgCpcJDg5G//79kZSUVNvdEBER+Zygss1qIq+GFNRCpWyIakcWNEgTBylisdJelbKh2qh1Ia/ValFUVFTlcsXFxRDYg5+IiOoJwXoFuss/KWJsVkP+Kk28SjHdUtoPyJJK2VBN1bqQ79y5M/744w+kpaVVuExKSgoOHDiAzp0713Y3REREPkWX+T0EyeyclgUdzNE3q5gRUe2liYMV03rkIko+o1I2VFO1LuTvvPNOmM1mTJ8+HX/88Ue5+X/88QdmzJgBq9WKO+7glQoiIqofyjarsTQZCzkgUqVsiOqmQGyJPCFOEWPzGv9R61FrbrrpJuzatQubNm3C1KlT0bhxY7RoUdI+MC0tDbm5uZBlGePHj8eECRPclS8REZFqRHM6AnJ2KmKmGF6sIv+WKg5GhD3FOd1S2oej4GiD/qBOD4R666230LNnT6xcuRJpaWnIzs52zmvRogXuu+8+TJ06tc5JEhER+YLA9LUQIDunJU0YLE2uVzEjorpLE69CN/vfd5qaS4egkY2wC3oVs6LqqFMhDwBTp07F1KlTkZ6ejszMTFgsFsTGxqJ58+buyA8AcPToUdx1111Yvnw5hgwZUm7/8fHxLtf74osvMGjQIJfziIiIaiowfY1i2tLsJkDDYof820VxACRoIMIOANDAihjpMFI1Q6pYk9RW40LeZDLhm2++gSiKiqvtzZs3R/PmzbFz505MmDABkyZNwqxZsxASElKnBJOSkjB37lzY7XaX80+fPo1evXphypQp5ea1b9++TvsmIiJy0BSdRUD+YUWMzWqoPrAKYcgUeqC5fMQZayntZSHvB2pUyGdlZeG+++5DYmIi+vXr57LZzIEDB3DlyhV8/PHH+PHHH7Fy5UrExMTUKrlt27bh2WefRV5ensv5ly5dQl5eHgYPHoxbbrmlVvsgIiKqjrJX4yVdM1gjr1UpGyL3StNchea2I87pWGkv9quXDlVTtUetsVgsuO+++5CQkIDWrVtXOBLNnDlz8NprryEuLg4XLlzArFmzYLPZapzYrFmz8NBDD6Fp06a48cYbXS5z+vRpAEDHjh1rvH0iIqJqk2UEXfpGETJF3wqIdW6hSuQTUssMQ9lYPge9nKVSNlRd1S7k//Of/yAhIQFDhw7F+vXrK7wCHhISgltvvRVr1qxB7969ce7cOaxdu7bGiSUmJuLxxx/H+vXr0aZNG5fLnDp1CsDfhXxxcTEkiQ8xICIi9wq4shca43lFzBwzUaVsiNwvS+gGM0IVsVhpn0rZUHVVu5D/8ccfERgYiNdeew16fdUdeyIiIvDWW29BFEVs3ry5xolt2bIFs2fPhk6nq3AZRyG/du1aDB06FH369EG/fv3w9NNPK0bQISIiqovAi6sV07aQTrCF91MpGyL3kwUtLooDFbGWdhbyvq7a9wTPnj2Lbt26ITo6utobj4uLQ8+ePXHmTM2fEFZZAe/gaFpz6tQpPP300wgMDMTvv/+ONWvW4PDhw1izZg0aNWpU4307CEKtV1WsX9ftUMV4jL2Dx9nzeIy9o1bH2VaEwIz1ipC5xRQIYuUbKb0vf35f65K72q9b7f3XRU1yd9frTNMMRlvpF+d0S2kfBEiAUPV13/ryefc31S7kzWYzmjZtWuMdNG/eHH/++WeN16uOyZMnw2g0YubMmRD+96m5/vrr0a5dO/z73//GJ598gqeeeqpW246MrNtoO6VFRYW5bVvkGo+xd/A4ex6PsXfU6Dif3wDYC/+eFkSEdJuOkODKt6HTlYw3r9cHIjg4sBZZqseoL7mYFhxc+9zVes3uyF0ttcndna8xx34NcOVff28b2WgReAFXtJ2rXlm2Aij5boWH8zzmLdUu5Js1a4aMjIwa7+Dy5ct1HoKyIhU9bGrKlCl466238Ntvv9W6kM/NLYLdXrf29oJQ8oHOzi6ALFe9PNUcj7F38Dh7Ho+xd9TmOIef/hSl7xFbokYhvzgMKC6odL2CgpL5RqMZEAJqmbE6jEYLAKC42AxdoLnG6wcHB6K4uObruUNdc1dTTXN393EuRjTyhViEy6nOWFTRLlwMaFvlukZjSR7Z2QWwWDx/SV6jEd160dVfVbuQb9++PeLj45GXl4eIiIhqrZOfn48///wTnTtX45ecG+l0OoSHh6OoqKhO23HXH1NZdt+2yDUeY+/gcfY8HmPvqO5xFo3J0OXsVMRMMVOqta5jGX9/T2uae+lmFWq/brX3XxdV5e6p45wqDkZX+99DrbaU9uKYfG+V69WXz7u/qXZn11tuuQVGoxFLly6t9sY//PBDmM1mXH311bVKrjInT57EDTfcgNdee63cvOzsbOTm5qJ169Zu3y8RETUcQRe/UkxL2kYwNx2vUjZEnpcmXqWYbi4dhkY2qZQNVaXahfzo0aPRoUMHfPHFF1i0aBEsFkuFy1osFixevBifffYZIiMjMXnyZLckW1qbNm2QkZGB9evXIz093RmXZRkLFy4EANx6661u3y8RETUQsoSgi18qQubmtwGaIJUSIvK8i+IASKXKQy3MaC4dUjEjqky1m9bodDosWrQIEydOxLJly7Bu3TqMHj0aPXv2RJMmTWC325GTk4MjR47g119/RWZmJvR6PT766CNERka6PXG9Xo/nnnsOzzzzDCZOnIi77roLoaGh2L59O/bt24ebbroJN9xwg9v3S0REDUNAzq/QmJIVMVOLu1XKhsg7LEI4soTuiJaPOWMtpX1I0wxRMSuqSI0eSdehQwesX78eTzzxBI4fP46vv/4aX3/9tWIZ+X8NowYOHIgXX3wR7du3d1+2ZUyYMAHNmjXDsmXL8PHHH8Nut6Ndu3Z44YUXcNddd3lsv0REVP8FpX2umLaF9oAtvK9K2RB5T6p4FaLtfxfysdI+xKuYD1Wsxs+Wbt26NdauXYs//vgDP/zwAxITE5GVlQWtVoumTZuiW7duGDNmDLp16+a2JOfNm4d58+a5nDdkyBAMGcJfiURE5D6C5TICM79XxIwt7+EA2dQgpGkGo5/9Y+d0lHwGejkbRiFKxazIlRoX8g79+/dH//793ZkLERGRTwi69B8I/xsXGwBkMQjmmIkqZkTkPZlCd1gQAh3+Hv2vhbQPCRo2WfY11e7sSkRE1CDIMoLSVipC5uhbIAe4v78XkS+ShQBcFAcoYrH2vSplQ5VhIU9ERFSKNm8/tEVnFDFTi6rH0SaqT8oOQ9lS2s8B4n0QC3kiIqJS9KmfKqZtwe1hjRyqUjZE6kgTByumQ5CFSDlBpWyoIizkiYiI/kewZCMwfb0iZmp5Lzu5UoOTJ7RCAWIUsZYSm9f4GhbyRERE/xN08UsI8t8PPJQFHceOp4ZJEJCmUTaviZX2qZQMVYSFPBEREQDIEvSpKxQhc/QEyLomKiVEpK7UMs1rYqSDEEv90CX1sZAnIiICEJD9CzTG84qYMW6GStkQqe+iOAgy/m5WpoUJzaUj6iVE5bCQJyIiAqBPXa6YtoV2gy1ikErZEKnPLEQgS+iqiLVk8xqfwkKeiIgaPNGYAl3Wj4qYMXY6O7lSg1d29Bp2ePUtLOSJiKjB06d+CgGSc1rShMIcM0nFjIh8Q2qZDq9N5FMIknNUyobKYiFPREQNm92IoLTPFCFzzCTI2jCVEiLyHZlCL1ihd04LkNFCilcxIyqNhTwRETVoQelrIFpzFTFjqzkqZUPkWyQhAJfE/ooYh6H0HSzkiYio4ZJl6JM/VIQsUaNgDzGolBCR7yk7DGVL+15AllXKhkpjIU9ERA1WQO5v0Bb+pYgZ4x5QKRsi35QmKtvJhyIDjeTzFSxN3sRCnoiIGix9ykeKaVtwe1iajFEpGyLfdEVoi0JEK2IchtI3sJAnIqIGSSw+D13mZkXMGDcbEPinkUhBEJBWZvSaWA5D6RN4tiIiogZJn7y0zJCTYTC3mKxiRkS+q2w7+RjpD4iyVaVsyIGFPBERNTiCNQf6tFWKmKnlvZC14SplROTbLooDFdMBMKKZfFSlbMiBhTwRETU4QSkrIEjFzmlZ0HDISaJKmITGyBK6KGKxdraTVxsLeSIialjsZuiTlZ1czdH/B0kfp1JCRP6h7Og1LdlOXnUs5ImIqGFJWg3RkqkIGVvPUykZIv+RVqadfFP5BALlPJWyIYCFPBERNSSyBJxaqAhZIq+BLbyPSgkR+Y90sTdsCHJOC5DRQtqvYkbEQp6IiBoMXdYWIO+EIsar8UTVIwk6XBL7KWIcT15dLOSJiKhhkGXoE99WhGwhXfgAKKIaKNtOPta+F5BllbIhFvJERNQgBOT8ioD8Q4pYcdsn+AAoohooO558GC4hXE5WKRvi2YuIiBqE4PPKtvF2fRuYo29VKRsi/5QrtEcRmipifMqreljIExFRvae9Eg9d7i5FrLjNY4CoVSkjIj8lCEgTBylCbCevHhbyRERU7wWfV7aNtwc2h6nFZJWyIfJvaRpl85oW0gGIsKmUTcPGQp6IiOo1bd4hBF7+UREztZ4HiIEqZUTk38pekdehCNE4UcHS5Eks5ImIqF4LTvy3MhDYBMbYaeokQ1QPGIUmyBYMilgr4YBK2TRsLOSJiKjecnU1Hl2eArSh6iREVE+klhmGshVYyKuBhTwREdVbZa/GSwFRQMcHVcqGqP4oO558NE4gIlilZBowFvJERFQvuboab2zzCBDAq/FEdZUu9oUNOue0KEgY0VXFhBooFvJERFQvhSS8opiWAqJgjJupUjZE9YtdCEK62FcRG9tDpWQaMBbyRERU7wTk/AZd9s+KWHGbRwBtiEoZEdU/ZZvXsJD3PhbyRERUv8gyQs69pAjZddEwxs1SJx+ieipVVI4n3z4a0JqS1EmmgWIhT0RE9Yru8o8IyItXxIrbPQ1o2BOPyJ1yhI4oRmNFTJ+3W6VsGiYW8kREVH/IEkLOvawI2fVtYGp5r0oJEdVjgliueY3Wkq5SMg0TC3kiIqo3AtO/hbbwL0WsqP0/AFFXwRpEVBd/ae+C9L9yUpIAU/hVVaxB7sRCnoiI6ge7ESHnlCPV2EK6wNz8DpUSIqr/ssQe2Kxbjj/kuzH234Ax4mq1U2pQWMgTEVG9oE/+CBpTiiJW1PElQNCokxBRA5Eu9sUe+QH8/FfVy5J7sZAnIiK/J1guIzhpoSJmibwalibXq5QREZHnsZAnIiK/F5L4b4i2fEWsyPAqIAgqZURE5Hks5ImIyK9pis4iKHWFImaKmQRbeB+VMiIi8g4W8kRE5L9kGaGn50OQbX+HxEAUtX9BxaSIiLyDhTwREfkt3eUfocverogZW82FpI9TKSMiIu9hIU9ERP5JMiPk9AJFyK5rjuK2T6iUEBGRd7GQJyIiv6RP/hBaY6IiVtTxn5C1YSplRETkXSzkiYjI74imiwhOfFMRs0b0hzlmkkoZERF5Hwt5IiLyOyFn/gHRXqiIFXZ6ExD4Z42IGg6e8YiIyK8EZP+MoIx1ipixxd2wRfRXKSMiInWwkCciIv9hNyH0pLIzqxQQiaKOr6iUEBGReljIExGR3wi+8F75Dq4d/glZF6VSRkRE6mEhT0REfkFTeBrBiW8pYtaI/jC1vEeljIiI1OUXhfzRo0fRtWtX7Nmzp9y8ixcv4umnn8awYcPQq1cvTJw4ET///LMKWRIRkcfIdoSdmAtBtvwdgojCzu+ygysRNVg+f/ZLSkrC3LlzYbfby83LysrC3Xffje3bt+O2227D/PnzYbPZ8OCDD2LTpk0qZEtERJ6gT/kYAXnxipix9VzYwnuplBERkfq0aidQmW3btuHZZ59FXl6ey/kffPAB0tLS8NVXX6Ffv34AgFtvvRV33HEH/vWvf2HUqFEIDg72ZspERORmojEJIWf/qYjZ9W1R1P5ZlTIiIvINPntFftasWXjooYfQtGlT3HjjjeXm2+12bNy4Eb169XIW8QAQFBSEqVOnIjc3F7/++qsXMyYiIreTZYSdeASCVKwIF3T9ANDwQg0RNWw+W8gnJibi8ccfx/r169GmTZty88+ePYvi4mL06lX+tmrPnj0BlLStJyIi/xV08UvocnYoYsaW98Pa+GqVMiIi8h0+27Rmy5Yt0Ol0Fc7PyMgAAMTExJSb17x5cwBAampqnXIQhDqt7ly/rtuhivEYewePs+fxGJcnmi4h5Mw/FDGbLgYZLZ6CXJhfq20KAqDTySgsLIAsuyPLihUWFjj36c/va11yV/t1q73/uqhJ7r7wOkufw3whn4bCZwv5yop4ACgoKDlBumoDr9frAQBGo7HW+4+MDKn1umVFRYW5bVvkGo+xd/A4ex6P8f/IMrD7acCm7CN186uX8MPRLiolVTs6nQbBwYFqp1EjRn3J3+Dg4MBa567Wa3ZH7mqpTe4+8xplK4CSc1h4OM9j3uKzhXxV5EoupTjmCXX4SZibWwS7Xar1+iX7L/lAZ2d7/spPQ8Vj7B08zp7HY6yku7QW4an/VcROyddh3FPPY1wdt63XB8JoNNdxK1XLzc7Ei4/cioKCYmi0eo/vz52MxpJhPouLzdAF1vxYBQcHorjY88fYlbrmrqaa5q7mcS7L8Z3Kzi6AxeL5S/IajejWi67+ym8L+ZCQkjfPZDKVm+e4Eh8eHl6nfbjrj6ksu29b5BqPsXfwOHsejzEgmlIRevJxRaxYboT4oGcQJITWaduC8L8rmEKAx49zkL7I+W9/fk9rmnvpa2hqv261918XVeXuS8e5dA48h3mXz3Z2rUpsbCwAID09vdw8R/t5R1t5IiLyE7KEsOMPQLRdUYR3yo/BLESqkxMRkY/y20K+Xbt2CAsLw7Fjx8rNc4xW07dvX2+nRUREdaC/8AF0ubsUsdW/A2cxSqWMiIh8l98W8lqtFuPHj8ehQ4dw6NAhZ9xkMuHLL79EkyZNcM0116iYIRER1YSm4BhCzikf/GTVtcTclerkQ0Tk6/y2jTwAzJs3D7/88gtmzpyJadOmoXHjxli7di3Onj2Ld955B4GBPtKTm4iIKmc3IvzP6RD+N/IFAMgQkNVhEfKK71AxMSIi3+XXhXzTpk3x9ddfY+HChfjiiy9gtVrRqVMnLFu2DNdee63a6RERUTWFnH0B2qLTipixzaMwhQ9WKSMiIt/nF4X8vHnzMG/ePJfz4uLisGjRIu8mREREbhNweRuCU5YpYtawXihq/yxQVH5kMiIiKuG3beSJiMj/CeZMhP31oCImi0Eo6L4cECt/MCARUUPHQp6IiNQh2xF+fAY0lgxFuNDwL9hDO6mUFBGR/2AhT0REqghOfBO6nF8VMXOTsTDFzlAnISIiP8NCnoiIvC4g+1cEJ/5bEbMHxqCg20fKR1YSEVGFWMgTEZFXieZ0hB+fDgF/P8ddFjQo6PEZZF0TFTMjIvIvLOSJiMh7JBvC/pwO0ZKlCBe1fwHWyCEqJUVE5J9YyBMRkdcEJ74OXe5uRczcZCyMbR5RKSMiIv/FQp6IiLwiIPtnBJ9/WxGzB8WioNsyQOCfIyKimuKZk4iIPE40XkD4n2XbxWuR3+MzyLooFTMjIvJfLOSJiMiz7MUIPzoFojVHES7q8E/YGg1SKSkiIv/HQp6IiDxHlhF24mEEFBxThM1Nb4Cx9UMqJUVEVD+wkCciIo/RJy9FUPq3ipgtxICC7ss4XjwRUR2xkCciIo8IyNmFkLPPKWKSJgz5vb6GrA1XKSsiovqDhTwREbmdaExG+LF7Ich2Rbyg+yewh3RUKSsiovqFhTwREbmX3Yjwo3dDtGYrwkXtFsDSbLxKSRER1T8s5ImIyH1kGWF/PYiAgiOKsLnpeBS3m69OTkRE9RQLeSIicpvgxH8jKOM7RcwW3JEPfSIi8gCeVYmIyC0C079DSOLripikDUd+r68gB0SolBURUf2lVTsBIiLyPJPJBKvV4rHtBxYeRtRfDyhiMkRkdFgCoxwDFOTXarsFBQXuSI+IqF5iIU9EVM+ZTCb07dcdl7MyPbL92MZA/MuAGKmMP/y5hA+2TnXLPmw2m1u2Q0RUn7CQJyKq56xWCy5nZeKNj39CkD7ErdsOQDFuF+aiqXBWET8mT0DHqU/gval1e+jTlZxMvPjIrZAke9ULExE1MCzkiYgaiCB9CPTBoW7bniDbMdr6PJpKyiI+TRyE+IBnoRcC6rwPk7GoztsgIqqv2NmViIhqZZBtIdpIOxSxK0JrbA94C7IbingiIqocC3kiIqqx7rZV6GH/ShEzIRw/BSyGRQhXKSsiooaFhTwREdVIW/tWDLYtVMTs0GJ7wELki61VyoqIqOFhIU9ERNUWLR3GcOtz5eI7A17GJc0AFTIiImq4WMgTEVG1REjnMdbyCLRQjkcfr30YCZrxKmVFRNRwsZAnIqIq6eXLGGediyAoH+x0QnMHjmqmqZQVEVHDxkKeiIgqFSAX4HrLQwiTLyriF8RrsEc7HxDqNlY8ERHVDgt5IiKqkEY24TrLI2gin1LEM4Vu+CXgDcgCH0dCRKQWFvJEROSSIFsxyvo0YuRDini+0BJbdYthE/QqZUZERAALeSIickWWcK31JbSWdinCxYjCDwEfwihEqZQYERE58J4oEXmVyWSC1WqpekEfFBCgQ1BQkNppeJ4sY7DtLXSUNivCZoTiB92HyBdbqZQYERGVxkKeiLzGZDKhb7/uuJyVqXYqtdKkaTMcOni83hfzfe3L0N3+tSJmQxB+0r2PHNGgUlZERFQWC3ki8hqr1YLLWZl44+OfEKQPUTudGjEZizB/1nWwWi31upDvYVuFfraPFDEJWmwLeBsZYh+VsiIiIldYyBOR1wXpQ6APDlU7DSqjm+0rXGVbqIjJEPBrwCtI1QxTKSsiIqoIO7sSERG62v6DIbY3y8V/1z6DBM04FTIiIqKqsJAnImrgOtvWYqjt3+Xi+7WP4qR2kgoZERFRdbCQJyJqwDrZ1uNq26vl4vHaeTimvc/7CRERUbWxkCciaqA62v6Lq20vl4v/oZ2Lo9rpKmREREQ1wc6uREQNUBfbtxhqex0CZEX8oGY2DmtnqpQVERHVBAt5IqIGppdtBQbaFpeLH9bMwCHtAypkREREtcFCnoiowZAxwLoYve0rys05opmGP7RzAUFQIS8iIqoNFvJERA2AIADDhXfQ076+3Lw/tHNwWDOLRTwRkZ9hIU9EVN/JNnz+ANBTKF/E79E+hb+0U1RIioiI6oqFPBFRPSbYCtD89P2YWubBrBJE7Na+gDPaCarkRUREdcdCnoionhKNKYg4MhHawr8UcTu02BHwGs5rxqqUGRERuQMLeSKiekibdxDhR+6ExpKhiNsQhG0BC5GqGapSZkRE5C4s5ImI6hldxkaEH58JQTIq4ka5EbYFvosMsY9KmRERkTuxkCciqi9kGfoL7yH07AvlZp1MA+JjlsEidlIhMSIi8gRR7QSIiMgNbIUI+3OayyLeGD4UQ14C8tDS+3kREZHHsJAnIvJzmqKziIwfiaCMdeXmGVvcg0udv8SVYhUSIyIij2LTGiIifyXLCLz0NUJPPQnRXlhudmHHV2Bs/TBQWKBCckRE5Gks5ImI/JBgy0foyccQlL6m3DxJG4GC7h/D0nScCpkREZG31ItCfsGCBVi3rvwtZQB4/fXXceutt3o5IyIizwnI2Ymwv+ZCY0ouN88W2gN5vVZBCm6nQmZERORN9aKQP3XqFOLi4jBv3rxy8/r27atCRkREHmArROi5F6FP+cTlbGOLe1DY+U1AE+zlxIiISA1+X8jbbDacO3cOY8eOxS233KJ2OkRE7ifL0GV9j9DT86ExpZabLWkjUNjlPZib8+4jEVFD4veF/Pnz52GxWGAwGNROhYjI7TRF5xByZgECL//kcr6l0VAUdP8Ikr61lzMjIiK1+X0hf+rUKQBAx44dAQBGoxE6nQ4ajUbNtIiI6kSwZCM48d/Qp34KQbaVmy+LehR1fAnGuNmAwJGEiYgaIr8/+zsK+Z07d2LEiBHo3bs3evXqhQcffBDJyeU7ghER+TLBmoPgc6+i8e+9EJyyzGURb2k8HDmD98DYag6LeCKiBszvr8ifPn0aAHDkyBE8+OCDaNSoEQ4dOoRVq1bh0KFDWLNmDeLi4mq1bUGoW26O9eu6HaoYj7F3uOs4l96Ov71nns5dNF8CjryOyNMfQLS7Hvdd0kWjsNPrsDS/DRAEVDcNfz7upbk7d28ei4Z63NV+3Wrvvy5qkrsvvM76cp7xN35fyN94443o2bMnHnjgAeh0OgDAmDFj0KdPH8ybNw8LFy7EokWLarzdyMgQt+UYFRXmtm2RazzG3lHX46zTyQAAvT4QwcGB7kjJe2QrgJJjEB7ups+bLAPZ+4EzS4DkbwDJ6vo2qRgIdH4UYtcFCNdF1Hg3/nzcjfqS83pwsHtz98Zx8FTu3uCO3NV6zQ3tuPvMa/TEOZKq5PeF/IQJE1zGx44di5iYGPz222+12m5ubhHsdqkOmZX8Io2KCkN2dgFkuU6bogrwGHuHu45zQUHJlWaj0QwIAW7KzjuMRjMAIDu7ABZL3S43iaY0BKZ/h8C0VdAWna5wORkCzM1vR3HHFyHpWwH5AFDzp7T693G3AACKi83QBZrdss3g4EAUF7tnW5XxRO7eUtfcvXWMXWlIx13N41yWO8+R1aHRiG696Oqv/L6Qr0xUVBQyMzNrvb67CkNZdt+2yDUeY++o63F2rOuP71edcpdlaIrOQJe9DYEZGxCQF1/54hBgjr4Vxe3mwx7a2RGsNX8+7qW5I/fSt/y9eSwa0nFX6xi7ovb+66Kq3H3pOJfOwd/PM/7Grwv5y5cvY9q0aWjbti0WL16smGe1WnHhwoVat48nIqo1WYamOAHavP0IyN0LXc4OaEwpVa+nCYIx5i4YW82FPYRD6hIRUeX8upCPioqCxWLBL7/8gpMnT6JLly7OecuWLUNBQQFmzZqlYoZEVK/JMgRLJrRFp6AtPAFN4Sloi05CU3gSoi2v2pux69vC1PIehPSah6ICHa9mERFRtfh1IS8IAl566SXMnDkT99xzDyZPnoxmzZph37592Lp1KwYNGoT77rtP7TSJyE8Isg06FCJQzocOBc7/6+QCiLiMhVOAZmfmIFDKgmi6BNF8CYJsqdW+JG0ELE1vgKnF3bBGDoEgiggJDAMKat4GnoiIGia/LuQBYPDgwfj666+xZMkSfPXVVzAajYiLi8Ojjz6K6dOnO0eyIaIGRpYRhFyEyukIldMRJOcgEPkIlPMRiDzo5AIEIQ862RHLhw5FFW9PBIaNB5CzqdYp2QNbwBI1GpZmN8ESNQIQeX4iIqLa8/tCHgB69OiBjz76SO00iEgFWtmISPkcoqTTaCyfRYR8AaHyJYTK6dBC3dEc7Lpo2BpdBWujq2CJGgl7SGcOsExERG5TLwp5ImoYBNmGKPk0mkuHEC0dRZR8BuFyCoS6DOniBrKohy2kM+yhnWEL7QJ7SBfYQrtACopj4U5ERB7DQp6IfFqInI44+2+Ik35HCym+8uYvbmSHFmaEwyKEw4wwGKVg/Pb7ftx4xxxow9vAHtgSUlAMpMAWkAKbA4LGK3kRERE5sJAnIp8TJqWhrbQNbe3b0Ez+q07bkiCiGM1QLDSBSYiABeEwCxEwOYp0IQJmRMAshP2vcC/5vx2BiqvpxuJCPPLhMCQ8+SzCwsLr+hKJiIjqjIU8EfkErVyMdvatMNg3IUY+WKN1JYjIE1ojRzAgR+yAAiEWhUJzFAoxKEYTyAJPdUREVP/wrxsRqSpCOo9u9m/Q0b4ROhRXa50rQhuki32QKfRAtmhArtAedkHv4UyJiIh8Cwt5IlJFtHQYfWzLESf9XuWyJkQgVRyMVM1QpIqDYRSaeCFDIiIi38ZCnoi8R5ZxbRfg/4RHEGepvPmMCRE4rxmF8+IYXBT7QxYCvJQkERGRf2AhT0SeJ8sIyNmBmLOv49fnAMB1ES9BRKo4FKc1tyBZvAaSwAcmERERVYSFPBF5lDb/KELOLIAu97cKlzGhEU5pbsVJ7e0oFFp4MTsiIiL/xUKeiDxCMGciJOEVBKV9UeEDm4rQFEe19+GU5lZ2ViUiIqohFvJE5F52E/TJHyL4/NsQ7QUuFymQm+FowHSc0UyAXQj0coJERET1Awt5InIb3eWtCD31JDTGJJfzrbqWeHBpGnrd/w0CtZHeTY6IiKieEdVOgIj8n2DORNif9yPi8O0ui3hZE4Ki9s8jtfevWL4DkMARaIiIiOqKV+SJqPZkGYEXVyP0zD8g2q64XMTUYgqK2r8AKSgGckG+d/MjIiKqx1jIE1GtaIrOIfTko9Dl7nI539roKhQa/g1bRF8vZ0ZERNQwsJAnopqRJehTliHk7IsQJFO52ZK2EYoM/4Kpxd2AIKiQIBERUcPAQp6Iqk00piD0rwehy9npcr4p+jYUdnoDcmAzL2dGRETU8LCQJ6KqyTKQ+AUa/TEPoq18O3d7UBwKO78DS9PrVEiOiIioYWIhT0SVEiyXEXbyESBzk8throrjZqOow4uANtTruamhoMD12Ph1JQiATiejoKAAsuvnZ9Wap3ImIiJ1sZAnogrpMrcg7OQ8iJascvPsQbEo6LoU1qjh3k9MBVaLGRBE9O7dRe1Uas1ms6mdAhERuRELeSIqR7DlI+T0M9Bf/NLlfFPMXSjs9CbkgAgvZ6Yeu90GyBJe+WAjwiMau337ggDo9YEwGs1uvyJ/JScTLz5yKyTJ7t4NExGRqljIE5FCQM5uhP01BxpTcrl5UkAUCrouhqXZTSpk5huC9CHQB7u/GZEgAMHBgYAQ4PZC3mQscu8GiYjIJ7CQJ6ISdiNCzr2M4OQlrufH3oLc9gsh6TgiDRERkS9gIU9E0OYdQthfs6EtOl1unqQJQ1HnNxHWczbk7ELAzVeLiYiIqHZYyBM1ZJIVweffQvD5tyDI5dtPWyKvRkG3DyEHt0IYH+5ERETkU1jIEzVQmsJTCDs+GwEFh8vNk8VAFHV4CcZWcwBBBEt4IiIi38NCnqihke3QX1iKkISXIUjmcrOtYX1Q0H0Z7KGdVUiOiIiIqouFPFEDIhqTEHZ8DnRXfi83TxY0KG77NIrbPgmIASpkR0RERDXBQp6oIZBlBKWtRMiZZyHaC8vNtoV0QkG3ZbBF9FUhOSIiIqoNFvJE9ZxYnICwEw9Dl7u73DwZAoyt5qKow/OARq9CdkRERFRbLOSJ6ivJBv2F9xGS+DoEyVRutj2oNQq6fQhr42EqJEdERER1xUKeqB7S5h9B6Il5CCg46nK+seW9KDK8Blkb5uXMiIiIyF1YyBPVI4I1D8GJr0OfsszluPD2oDgUdFkEa5MxKmRHRERE7sRCnqg+kCUEXVyNkHMvQbRklZ8NAcZWD6Co/fOANlSFBImIiMjdWMgT+Tlt3h8IPfUkAvIPuZxvC+mCgq7vw9ZooJczIyIiIk9iIU/kp0RTKkIS/oWgi6tdzpfFQBS3eQLFbR8HRJ2XsyMiIiJPYyFP5GcESxaCzy+EPmU5BNnichlz0xtQaHgNUnBbL2dHRERE3sJCnshPCNYr0F94H8HJSyHYi1wuYwvuiMJO/2ZnViIiogaAhTyRjxMs2dCnfgr9hQ8g2q64XEbShKK43TMwtnqAzWiIiIgaCBbyRD5KLD6P4OQlCEr7EoJU7HIZWQiAKXYaito+BTkw2ssZEhERkZpYyBP5GG3eH9BfeB+BGf+FAMnlMjJEmFvchaJ2z0DSt/ZyhkREROQLWMgT+QDBegWB6WsQlLYKAQVHKl3W3GwCito/C3toJ+8kR0RERD6JhTyRWmQZAbm/ISjtcwRmboQgmSpeVNDAHH0bits8DHtYTy8mSURERL6KhTyRN8kStHkHEJi5EYEZG6ExXah0cUkTClPL+2BsNQeSPs5LSRIREZE/YCFP5GmSDQF5+6HL2IDAzE3QmC9WuYo9sCWMcbNgip0GOaCR53MkIiIiv8NCnsgDxOLz0GX/Al3ODgTk7IRoy6tyHVkIgKXpeJhaToUlahQgaP6/vTuPi7LaHzj+mWFYBnBFUBPK5TrjgihqoqSUaHVTQQ1MJckF83rNrKvl1p5b3V9aV+CWaWo3vdZPNJcupib9KnPXUnNJETfcUVBkZ+b8/qCZ68giyCBNfN+v17wYzjnzPN85nNfwfZ45z3nuQaRCCCGEcFSSyP8O5ObmUlBQ8h06f++cnV1wc3Or7jDuit36XSl0eWdwy9yNW+Zu9Ne34pxX9pSZW+XrDWT6DCGzQQRmZ6+iwpsl3/DJwmQy4+SkrUzUFaLRgIuLIjMzE6XufjuZmZn2C0oIIYSo4SSRr2a5ubl07ORP2pXL1R3KXWng7cO+vb84XDJfmX73cIX2D0BQC3jIAMEtoXG9im3jyDlI2AWrdsP+08eAt397lI/WyQmzyVSxnf6OFBYWVncIQgghhMOTRL6aFRTkk3blMu9+vBE3vUd1h1MhuTlZTBnzOAUF+Q6XyJe33/Wk48VJvPkVb80xfDhGPc6g0VT8tPQV9SeS1SOc4GGuNW5Gnf4wqn/FY8+4dpk3XniSGXHrqF2nfsU3cBc0GtDrXcnJyavUGXlL7Gaz4x6ECCGEEL8Xksj/TrjpPdC7e1Z3GDWOm94Dvd4DPdeoa06hnjpBPXXit+cp6Em/621nU59z2q6cc+rGOW0Q2Rofa52+EjHn5mT9N/Z7NGY0GnB3dwWNc6USeUvsQgghhKg8SeRFjaEpSMcpO6XokXGUJX+BxzR/pX7eWdzIqPT2c6jHJW17LmoDOacN4prGAJp7N49dCCGEEDWLJPLVSSmcs4/QLxCasg1nkwcKLQonFBqUxgnzb78XoqcQPQUa/W/PXSVJvI2mMBNt7lmccs6izU3FKfcs2twzOGWfxCknBW2B7dn1ESEAB+9qX2acSNc057K2HZe0Hbikac8Nzf1Fp66FEEIIIe4BSeSri1LUOvRXvC/8m/UvAUyGgoptogC3oqReoycfDwrwIF/jST6eFPz2M7+EnwXcWuaB0jhXxTu0H1Mu2vzLaPMvoc2z/LyENv8yTrnnoPA89W+eQVuYUSW7L8SFdE0L0rStuappTZq2Fdc0LTFpHOu6ACGEEEL8sUgiX000+Vdwu/DvSm3DmVycyQV1y5nmu5i/XIibTWJf9LMWBRqPovJbDwCsBwru5JJHx6bgknUIJ00dwAk0WpTGqWgNdFWIxlyAxpwHKh+NOR/Mv/1U+WhM2WgKb6AtvI6m4DqawhtoCq+jLcwoel6QgTb/SrnWYLfHdxOFuJKhaUa6pjkZ2uaka1qQrmlOpsa36D0JIYQQQvyO/CES+fT0dOLi4khKSuLq1as0bdqUZ555hsjIyOoOrVTKyR2zc71i0z2qg45cdOTirtKKCsp7MKCFwbOAg49XVWh2p9Bi1t9PnssDLEn4joBe48l2/RPpmhbc1NwnCbsQQgghHIbDJ/LZ2dmMGjWK48ePExUVRfPmzdmwYQOvvPIKaWlpjB07trpDLJnOkxsBn+F6fA4Xk3/Ey7shWo1Cixkwo8WMBhMazGgpREdedUfsMMwuPpjcfDG7+WFy88Wkb4rJvTlmfTNM+vtB60Jm5g3GL/XlH72GoHeS1YKEEEII4XgcPpFftmwZhw8f5r333iMsLAyAp556itGjRxMXF0f//v1p3LhxNUdZsoL6IVxr04EWYb7847NV6PVlJJTKjI5cnMlBp3LQkXPb8yxc1E1cuImLysKFTFzUTdtybuL82/OiAwbHorSumF0aYnb1Kfrp0hDl6oO7d0uuF3pjcvXF5NYEnCqzuKMQQgghhGNw+ER+zZo1eHt7069fP2uZVqslJiaGH3/8kfXr1zNmzJhqjNBONFoKcacQd6jswihKoSP3tmQ/85aDgJs4q0xcyPqt7CbOv/20tNGRg0aZMBfm4uLshIbSb/CjNDrQuhZdVKt1QVmeO+lRutqYdXVQznVQujqYdbVRurpFz51ro5y9Mbs2xOzijdLVKbYqjEYD7g1qUZCWWan1zYUQQgghHI1DJ/KZmZmkpKQQGhqK5rYEr3379gAcOHCgOkL7fdNorMtZ3nqToorKyb7JCyO6c+LEaWrVqg3KDKoQlKnoodGB1kWWyRRCCCGEqAIOnchfunQJpVSJU2c8PT3x8PAgNTW1GiKroTRa0LhUdxRCCCGEEDWCQyfymZmZALi7u5dYr9frycnJuattOzlV/iyy5UsCnU5b6rQPV1dnAgMDqeOuxdXNseaGuKAlMDAQkymf/Py76+fK0mjg5k0N+fk5FZpaYzLlO2y/K08dgYGB1PXQ4XkPY3d1NqN1rdz+qit2e7gXsdujj0si/W6rqvr5djW53+9VH5ekJvV7dfbz7Sw5gaurMzpd1X8Tb4887Y9Ao5Tjzizet28fQ4cOZcyYMUyaNKlYfXBwMLVr1+brr7+uhuiEEEIIIYSoOg59OOPh4QFQ6ln3nJwcateufS9DEkIIIYQQ4p5w6ES+SZMmaDQaLl26VKwuMzOT7OxsGjVqVA2RCSGEEEIIUbUcOpH39PSkRYsWHDx4sFjd/v37AejYseO9DksIIYQQQogq59CJPEB4eDgXLlzgq6++spaZzWYWL16Mi4sLffv2rcbohBBCCCGEqBoOfbErQG5uLhEREZw+fZro6GiaNWtGYmIi27dvZ/LkycTExFR3iEIIIYQQQtidwyfyANeuXWPevHkkJSWRlZVFs2bNGDFiBAMGDKju0IQQQgghhKgSf4hEXgghhBBCiJrG4efICyGEEEIIURNJIi+EEEIIIYQDkkReCCGEEEIIBySJvBBCCCGEEA5IEvkqkJ6ezowZM+jZsycBAQGEh4eTkJBQ3WH9Iezfv582bdqwbdu2YnXnz59n8uTJdO/enfbt2/PUU0+xZcuWaojSMf36669MmDCBrl274u/vT8+ePZk5cyY3btywaXf8+HHGjRtHt27dCAwMZPjw4ezdu7eaonYsZ86cYeLEifTo0YMOHTowaNAg1q9fX6yd9LF9mEwmoqKiMBqNFBYW2tTJ50XlTJs2DaPRWOJj9erV1nYylivHbDazbNkywsPDCQgI4OGHH2batGnF7mgv47nmklVr7Cw7O5unn36a48ePExUVRfPmzdmwYQM7duzgb3/7G2PHjq3uEB3WqVOnGDZsGFeuXGHJkiUEBwdb665cucLgwYPJyMggOjqahg0bkpCQwKFDh3jvvfcICwurxsh//1JSUoiIiECn0xEVFUXjxo35+eefWbt2LS1atOCLL77Aw8ODEydOMGTIEFxdXYmKisLDw4Ply5dz/vx5Fi9eTJcuXar7rfxunTt3joiICEwmE9HR0Xh5eZGYmMiePXtsPhukj+0nPj6e+fPnA3Do0CF0Oh0gnxf2MHDgQDIzM3n++eeL1XXs2BE/Pz8Zy3YwefJk1q5dS69evQgJCeHkyZMsX76c++67j4SEBGrXri3juaZTwq4WLFigDAaDWrdunbXMZDKpkSNHqrZt26rz589XY3SOa9OmTerBBx9UBoNBGQwG9eOPP9rUv/7668pgMKg9e/ZYy3JyclS/fv1UUFCQysrKutchOxTL+ExOTrYp//TTT5XBYFAfffSRUkqpmJgY1a5dO3XmzBlrm6tXr6rg4GDVp0+fexqzo5k4caIyGo3q559/tpYVFhaqAQMGqHbt2qmMjAyllPSxvezfv1+1adNG+fv7K4PBoAoKCqx18nlROQUFBcrf319NnDixzHYylitn06ZNymAwqDfffNOmfPXq1cpgMKgFCxYopWQ813QytcbO1qxZg7e3N/369bOWabVaYmJiKCgoKPFrdFG2MWPGMH78+GL9amEymVi3bh3t27enU6dO1nI3Nzeio6NJT0/n//7v/+5hxI4lLy+P3bt307lzZ1q0aGFTZ7mp2q5du0hLS+OHH36gV69e+Pn5WdvUr1+fyMhIkpOT2b9//70M3aFotVp69uxJ+/btrWVOTk507dqVvLw8Tpw4IX1sJ1lZWbz00kvWKUy3ks+Lyjt58iT5+fkYDIZS28hYrrwVK1bg4eHBpEmTbMr79u3LmDFjaNq0qYxnIXPk7SkzM5OUlBQCAgLQaDQ2dZZ/3gcOHKiO0BxaSkoKEydO5Msvv6Rp06bF6o8fP052drZNgmQREBAAIP8wyuDs7ExiYiJvvfVWsbq0tDSgKOG09KH08935n//5Hz788MNi5YcPH0ar1XLfffdJH9vJrFmzyMzMZObMmcXq5POi8o4ePQpAy5YtAcjJycFkMtm0kbFcOSaTiT179tCpUyc8PT0ByM3NJT8/HxcXFyZNmsRjjz0m41mgq+4A/kguXbqEUorGjRsXq/P09MTDw4PU1NRqiMyxJSYm4uLiUmq95aKfkvq9UaNGANLvZdBqtTZnzG61cOFCAIKCgrh48SIg/WwPmZmZnDp1imXLlrFjxw6GDRtGo0aNrBenSR/fvU2bNrFq1Sri4+Np0KBBsXr5vKg8SyL/3XffMWPGDM6fP4+zszMhISFMnTqV+++/Xz4vKik1NZW8vDx8fX3ZtGkTsbGxHDt2DCcnJ7p168Yrr7xC8+bNZTwLSeTtKTMzEwB3d/cS6/V6PTk5OfcypD+EspJ4KLvf9Xo9gPT7XVi9ejWrV6+mcePGDB48mOXLlwMl97Obmxsg/VxeL7/8Mt9++y1QdMbyueeeA+DmzZuA9PHdunTpEq+99hqRkZH07t27xDbyeVF5v/76KwA///wz48aNo27duuzbt4/PPvuMffv2sXLlShnLlXT9+nUAtm/fzqpVqxg5ciQvvPACR48eZdGiRQwdOpSEhAQZz0ISeXtSd1gASClVbMqNqLyy+t1SJ/1eMQkJCbz++uu4u7szf/58PD097zi+Qfq5vAYNGkRkZCQHDx5k6dKl9O/fn+XLl0sfV4JSiilTplCrVi2mT59eZrs71Ukfl61fv34EBAQwduxY64mWRx99lMDAQJ5//nnmzp1Lq1at7rgd6efS5efnA0XXI8THx1sPTHv37k3btm0ZO3Ys//jHP3j44YdL3YaM55pBEnk78vDwAEo/+s3JycHX1/dehlQjWPo9Nze3WJ3lb1G7du17GpMjmz9/PvHx8Xh6erJgwQLrPEvpZ/vp1asXUPRPuV27djz33HPExsZa+1r6uOKWLFnCjh07iI+PJy8vj7y8PAAKCgoAyMjIwNnZWcaxHVgugr/dY489RuPGjdm6dav1wkvp57tjOcPesGHDYt8u9ezZEx8fH7Zt20afPn0A6eeaTBJ5O2rSpAkajabYjRqg6Ovc7Oxs65w1YT+WgyPLnMxbWf4W0u93VlBQwKuvvsqaNWvw8fFh4cKFNmfVyurnsubDirL16tULT09PfvnlF+s/Zenjivv2229RSjFu3LgS6x966CGaNGnCRx99BMjnRVXx8vLi8uXL8nlRSZa+Kek6D0t5cnKy/P8Tksjbk6enJy1atODgwYPF6ixXjXfs2PFeh/WH17x5c2rVqlXiikDS7+VjMpmYOHEimzZtwmAw8PHHHxf7J9uuXTu0Wm2J/WwpCwwMvCfxOpq0tDSefvpp/P39mTt3rk1dQUEBeXl56PV66eNKmDJlSrG7EAO88847/Prrr3zyySfo9Xr5vKiktLQ0Ro4cSbNmzaw327IoKCjg9OnT+Pn5yViupHr16nH//fdz6tQp8vLycHV1tdaZTCZSU1Px9fWV8Sxk+Ul7Cw8P58KFC3z11VfWMrPZzOLFi3FxcaFv377VGN0fk06no0+fPuzbt499+/ZZy3Nzc1m2bBkNGjQgJCSkGiP8/fvggw/YtGkTAQEBLF++vMQzZQ0aNCA4OJhNmzZx9uxZa/m1a9dYtWoVrVq1ok2bNvcybIfRoEEDNBoNmzdvJjk52aZu8eLFFBQU0Lt3b+njSvD39yc4OLjYo06dOgB07dqVTp06yedFJXl5eZGfn09SUhJHjhyxqVuwYAGZmZlERETIWLaDiIgIsrKyWLRokU35559/zo0bN+jXr5+MZ4FGlefqKlFuubm5REREcPr0aaKjo2nWrBmJiYls376dyZMnExMTU90hOrTY2Fji4uJYsmQJwcHB1vIrV64wcOBAcnJyGDlyJPXr1ychIYHDhw8zb94865QFUdzZs2f585//bD0r37Bhw2JtvLy86N69O8eOHWPw4MF4eHgwYsQIXFxcrLdcX7JkCZ07d66Gd+AYdu7cyejRo/H09OTpp5+mXr167Ny5k40bN9KxY0eWLl2Kq6ur9LGdRUdHs2vXLg4dOoROV/QltHxeVM727dt59tln0ev1REVF4ePjw44dO9i0aRNBQUEsWrQIFxcXGcuVlJ+fzzPPPMNPP/1Ev3796NKlC4cOHWLlypUYDAa++OIL3NzcZDzXcJLIV4Fr164xb948kpKSyMrKolmzZowYMaLUC4RE+ZWWyENRQjp37ly2bdtGQUEBRqORv/71r2Ve1S/g3//+d4k3g7pVx44dWbFiBQBHjhxh3rx57N27F61Wi7+/Py+++GKxO2iK4g4dOkRcXBy7d+8mNzcXPz8/wsLCGD16tM0yq9LH9lNSIg/yeVFZBw8eJD4+nr1795KTk4Ofnx/h4eHExMTIWLajnJwcFi5cyPr167lw4QINGjTgz3/+M+PHj7feKApkPNdkksgLIYQQQgjhgGSOvBBCCCGEEA5IEnkhhBBCCCEckCTyQgghhBBCOCBJ5IUQQgghhHBAksgLIYQQQgjhgCSRF0IIIYQQwgFJIi+EEEIIIYQDkkReCCFElavJtyypye9dCFG1JJEXQlTYzp07MRqNtGrVit27d5fZNjo6GqPRyLZt2+5RdGWLjY3FaDTy/vvvV3codrFjxw4iIyNp3749nTp14u9//3upbVNTUzEajRiNRtasWVPmdqdOnYrRaGTlypWViu/GjRvMnDnzjvuzsIyt8j527txZqfiqUl5eHnFxcSxYsKC6QxFC/EHp7txECCFKppRi+vTprFu3Dr1eX93h1DiZmZmMGzeOrKws/P398fX1xd/fv1yvnT17Ng899BDe3t5VGuOcOXNYvXo1M2fOrNDr3N3d6dWr1x3bNWjQ4G5Dq3ILFy4kNjaWsWPHVncoQog/KEnkhRCVcubMGebOncurr75a3aHUOMnJyWRlZeHr60tCQgIajabcr71+/TpvvPEG//znP6swwrufVlKvXj3ee+89O0dzb8mUGiFEVZOpNUKIu+bt7Y1Op2P58uXs2bOnusOpcfLz8wHw8fGpUBLv4eGBp6cnW7ZsYd26dVUVnhBCiComibwQ4q75+fkxevRozGYz06dPJzc3t1yvK2ueumUed0hIiE250WjkySef5Pr168ycOZMePXoQEBBAeHg4X331FQAXLlxg0qRJBAUF0aVLF0aOHMnRo0dLjWPjxo0MHDiQdu3a0aNHD9544w0uXbpUYtvLly8zY8YMQkND8ff3Jzg4mL/97W8cO3asWFvLdQHHjh3jmWeeoV27dnTv3p3ExMQ79k1ycjKTJ0+mR48e+Pv70717d15++WWSk5OL9cczzzwDwL59+zAajYSGht5x+wCenp5MmTIFgFmzZpGWllau11n89NNPjB8/nm7duuHv70/Pnj154403uHDhQrEYv/zySwBeffVVjEYjq1evrtC+yuvFF18sc07/0qVLMRqNvPPOOzbl27Zt49lnnyUoKIh27drxxBNPEBsbS3Z2tk07y7gcN24cly9fZtq0aXTv3p127drRt29fFi9ejMlksrYPDQ0lLi4OgI8++gij0UhsbKy1/rvvviMmJsb6d37kkUeYMmUKJ06csFeXCCFqAEnkhRCV8txzz9GyZUtOnz7NvHnzqnRfWVlZDB48mNWrV+Pv70/r1q359ddfmTRpEp999hmDBg1i9+7ddOrUiXr16rFt2zaioqJKTM43btzIhAkTyM3NpWfPnri6uvL5558TERHB2bNnbdoePXqUAQMGsGzZMnQ6HY888ghNmjQhMTGRyMhIvvvuuxLjff7550lJSeHhhx9Gp9Pdcf56UlISTz75JGvXrqVevXr06tWL+vXrs27dOiIiIvj222+tbcPCwggODgagfv36hIWF0bt373L35VNPPUVwcDAZGRm8+eab5X7dihUriIqKYvPmzfj5+REaGoqzszOff/45AwYM4MCBAzYx+vn5AdChQwfCwsK4//77y72viujfvz8A//nPf0qsX79+vU07gI8//piRI0eyfft2mjVrxiOPPMLNmzeJi4sjKiqK69evF9vOlStXiIyM5JtvvqF169YEBgaSkpLCu+++y+zZs63tevfujcFgAMBgMBAWFobRaARgzZo1/OUvf2Hnzp20aNGC0NBQ9Ho9a9asITIyssSDQyGEKJESQogK2rFjhzIYDGrIkCFKKaX279+vWrdurVq1aqX27Nlj03bYsGHKYDCoH3/80Vo2f/58ZTAY1Lx584pt++zZs8pgMKgePXrYlBsMBmUwGFSfPn1UWlqatXzGjBnWur/85S8qJydHKaVUQUGBGjp0qDIYDGrRokXF9m0wGNS7776rzGaztf306dOVwWBQo0aNsrbPz89Xjz76qDIYDGrJkiXW9koptWXLFtW2bVv14IMPqqtXrxZ7zw8//LBKT09XSillMpnK7NPLly+rDh06KKPRqFavXm1Tt3LlSmU0GlVgYKC6ePGitfz2v8Od3N63qampKjAwUBkMBrV+/XqbtlOmTFEGg0H97//+r7XsyJEjqlWrViogIEB9//331nKTyaRiY2OVwWBQISEh1r9Badspi+U99ezZs1ztLQoKClS3bt1U69at1ZUrV2zqTp06pQwGg+rXr5+1bPv27cpoNKqQkBB15MgRa3leXp6aOnWqMhgMatKkSdZyS98ZDAY1bNgwm7/3li1blMFgUG3atFHXr1+3lpc2znv16qXatGmjjh8/bi0zm81q5syZymAwqClTplTovQshai45Iy+EqLSAgABGjRpV4Sk2d2PChAl4eXlZfw8PD7c+nzp1Km5ubgDodDrrVJPTp08X284DDzzAxIkTrXPLdTodr7/+Ol5eXmzdupUzZ84AsHnzZk6fPk3Pnj0ZMWKEzVz00NBQhgwZwvXr10lISCi2j7CwMOrWrQuAVlv2x+0XX3xBdnY2AwcOZODAgTZ1kZGRDBw4kKysLFasWFHmdiqiSZMmvPzyywDMmDGDq1evltn+008/xWw28+yzz9KjRw9ruVarZfz48XTp0oWLFy9az35Xxrlz5+649OS4ceOs7XU6HX379sVkMrFhwwabbVniuXWsLFq0CKUUr7zyCq1atbKWu7i48MYbb9CgQQMSExNL/DbnlVdeoX79+tbfQ0ND8fX1pbCwkJMnT97xvV25cgWdToePj4+1TKPRMHbsWF577TUiIiLK0UNCCCFTa4QQdjJhwgRatGjBqVOn+OCDD6psPx06dLD5vV69egDo9XqaNm1qU1e7dm3gvxeF3uqJJ55Ap7NduMvV1dU6XWXXrl1A0TrtAF27di0xHktCW9J65rcmiHdiWY//8ccfL7G+T58+NnHZy5AhQ+jatSsZGRm89dZblYqxb9++dovR3d2dsLCwMh9dunSxeU1p02v+85//oNVqrYm8yWSyXpwdFBRUbN9ubm507tzZpp2FXq+3TpG5lSUpv31ufUk6d+5Mbm4uTz75JHFxcRw4cACz2YyXlxfDhg3jwQcfvOM2hBACZPlJIYSduLi4MGfOHIYOHcqnn37K448/TmBgoN33U6dOHZvfLWfILUl7SXUladKkSYnljRs3BrCeibVcwDlnzhzmzJlT6vYuXrx4x1jLcvny5TLj8vX1BYrO5tqTRqNh1qxZhIWFsXHjRhITE60HDdUZ490sP+nv70/Lli35+eefOXfuHE2aNOHw4cOkpKTQrVs3GjZsCEBGRgY5OTkAxQ4Gbnf7Bby1atUqcVxZDgpVOZacnDVrFuPGjePQoUPExsYSGxtL3bp1CQkJISIiotSDRiGEuJ0k8kIIu2nfvj0jRozgk08+Ydq0aaxdu7bC2zCbzWXW334W/W65uLiUWe/s7GwTT1BQkM1UiNvdOtXC4k7TaW51pwTQEsed4r4bvr6+vPTSS7z99tu8/fbbpSaSd4rRsmpLVcRYXuHh4cydO5fExESeffZZ64pGt17kemucpX27YPHAAw/Y/F6RZT5L06hRI1atWsXu3btJSkpi27ZtHDt2jHXr1rFu3TpGjRplXVVICCHKIom8EMKuXnjhBZKSkjh58mSpU2wsyVBJSfuNGzeqMjwry9nl2507dw7475l5y51Pw8LCGDRoUJXF4+Pjw8mTJzl37hwtW7YsVm9ZSefW6wPsKSoqiq+//ppdu3bx5ptv4u7uXmKMqamppcaYmppapTGWR3h4OO+//z4bNmxg9OjRbNiwAb1ez2OPPWZtU7duXZydnSksLGT27NnVcuCh0Wjo0qWL9RuBq1evsmrVKt5//32WLFlCdHQ099133z2PSwjhWGSOvBDCrlxdXZkzZw5arZalS5eSkpJSrI2HhwdAiRdX7t+/v8pjBNi6dWuxsqysLLZu3YpWq6Vz584A1vnKpS0x+a9//YuwsDDi4+MrFY9lPxs3biyx3nIB552mgtwtjUbD7NmzcXd3Z+PGjfz44493HeOt887tcQa7Iho1akRQUBCHDx9m8+bNnD9/nl69elnHHBSdie/QoQNms5kffvih2DaUUkRHRzNkyBCb5TQrqqT3npycTFhYGKNHj7Yp9/LyYsyYMRiNRpRSpd7PQAghbiWJvBDC7gIDAxk+fDhms7nEmw1ZLgL95ptvrGfAAY4fP86HH354T2LcuXMn//rXv6y/5+fn8+qrr3L9+nWeeOIJ6xn5Pn364O3tzebNm1myZInN9JIDBw4wf/58jh07VuIFkBXx1FNP4e7uzpdffmm9iZLFqlWrWLt2Le7u7sVWtLEnPz8/Jk6cCJT8jcWwYcNwcnJi4cKFNgdCSini4uLYvXs3DRs2tFnP3nK2OzMzs8rivt2AAQNQSjFr1izAdlqNxYgRI4Ci1XoOHz5sLTebzXzwwQfs2rWL1NTUCl2wfDvLe79586a1rGnTply+fJmtW7fy9ddf27T/5ZdfOHHiBO7u7vzpT3+66/0KIWoOmVojhKgSL774It9++y2nTp0qVhcUFIS/vz+//PILYWFhBAUFkZ2dze7du+nevXulzoKWV2BgILNmzeLLL7/Ez8+P/fv3c/HiRQwGA6+99pq1nV6vZ/78+YwZM4Z33nmHZcuWYTQaycjIYN++fSilGD58eIVuxlSShg0b8u677zJx4kSmTp3K0qVLadasGSdPnuTo0aPo9Xr+/ve/l3qhqb0MGzaMjRs3WleouZW/vz/Tpk1j1qxZxMTE0KFDBxo1asTRo0c5deoUdevW5f3338fT09P6GstKQv/85z/56aef6N+/f7n6Kj09nZdeeumO7R588EEGDx5sU/boo4/y1ltvcfHiRby9vXnooYeKva53796MGjWKxYsXM2jQINq2bYuPjw9Hjx7l7Nmz1r97ZabdWN77ypUruXjxIo888giDBg1ixowZTJgwgRdeeIG2bdvi6+tLeno6e/fuxWQyMX36dGrVqnXX+xVC1BxyRl4IUSXc3NyYPXt2iRd8arValixZwvDhw6lduzY//PADFy5c4Pnnnyc+Ph4nJ6cqj2/o0KHMmjWLvLw8kpKS0Gq1xMTEsGLFCuuSlhYdO3ZkzZo1DBkyBKUU33//PWfOnCEoKIj4+HimT59ul5gee+wxEhIS6NevH1evXuWbb77hxo0bREZGsmrVKh599FG77Kcslik2er2+xPro6GiWLVtGaGgop06dIikpCbPZzPDhw1m7di2dOnWyaT906FAGDBgAwPfff88vv/xSrjiys7NZv379HR8//fRTsdd6eHhYDxb69u1b6niaMmUKH374IV27duXUqVN89913aLVaIiMjWbt2LR07dixXrKXp3bs3I0aMwN3dne+//569e/cCRX/nTz75hJCQEM6fP8+WLVtITk4mJCSEpUuXMnTo0ErtVwhRc2hUedbKEkIIIYQQQvyuyBl5IYQQQgghHJAk8kIIIYQQQjggSeSFEEIIIYRwQJLICyGEEEII4YAkkRdCCCGEEMIBSSIvhBBCCCGEA5JEXgghhBBCCAckibwQQgghhBAOSBJ5IYQQQgghHJAk8kIIIYQQQjggSeSFEEIIIYRwQJLICyGEEEII4YAkkRdCCCGEEMIB/T+W0k/++w7vHwAAAABJRU5ErkJggg==", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:33.121527\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 783\n", + "The number of not events is: 9009\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:33.788987\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:34.346705\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 581\n", + "The number of not events is: 6916\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:34.977948\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:35.539843\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 527\n", + "The number of not events is: 3298\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:36.186454\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:36.724266\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of events is: 527\n", + "The number of not events is: 3298\n" + ] + }, + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:37.331888\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvIAAAIzCAYAAABiL/1dAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACnDklEQVR4nOzdd3wT5R8H8M9ltemkLWWXTVpmKVOGyhIVQZE9rIggKu6J/Nx7goiK4AAEAQdLwAEiiCh7VjYUSpmddGfnfn/UxF6btunKJenn/XrxovfcXfJNLuOb577Pc4IoiiKIiIiIiMirKOQOgIiIiIiIKo6JPBERERGRF2IiT0RERETkhZjIExERERF5ISbyREREREReiIk8EREREZEXYiJPREREROSFmMgTEREREXkhJvJERERERF5IVdkdL168iIEDBzpdp1Qq4efnh8jISLRr1w633347BgwY4HTb3bt34+677wYAHD16FCpVpUMCAIiiiLNnz6JVq1YV2i8+Ph579uzBAw88gCeeeAKA9DFu2rQJzZo1q1JsrtLr9cjIyECTJk0cbatXr8bMmTNRv359/Pnnn26Jw522bduGefPm4dSpUwCAxo0bY/369RAEocz9nB1vuY5baaKjowEAPXr0wJIlS8p8TEVj//333yWvgapw9pqqCvtjclVwcDD27dtXLfftTtX9vLnqxIkTuOOOOwAA3377LeLi4pxu99NPP+HJJ58EALRv3x6rV68u9TaHDx+O48ePY/LkyXjuuedq7DPFZDJh9erV2Lx5M06ePIlr164hICAA9erVQ8+ePTF8+HB07NixxH6e9r6tiqeeegp///03Nm7ciNDQUEd7Xl4evvjiC/z222+4cOECtFotWrdujeHDh2PUqFFQKJz3ren1eixatAi//PILkpOTIQgCWrRogSFDhmDSpEnQaDQuxWWxWDBu3Dj8888/ePvttzFixIhqebx2SUlJ+Pzzz7Fjxw6kp6cjNDQUsbGxmDhxIvr06VPqfpcvX8aCBQuwfft2pKamQqvVol27dhg/fjxuueUWl+//ypUrGDp0KPLy8px+fn766aeYP38+Vq5cWeHPsIowmUxYu3YttmzZghMnTiAzMxMKhQKNGjVC165dceedd6JLly41dv/VxZfek2vXrsWKFSscOUaLFi0wcuRIjB8/vtT3XVmuXr2KhQsXYvv27bh8+TIAoEmTJujXrx/uvfdeREREON1vwIABuHTpUpm3vXfvXoSEhLgcS9Wy5n/pdDoEBQU5lm02G3Jzc3HhwgWcP38ev/zyC/r27Ys5c+YgODi4Ou7SqYSEBLz++uto1qwZPvjggxq7n5q0fv16vP/++3jkkUcwevRoucNxi4SEBDzwwAOw2WyoU6cOmjRpgvr165ebxHvb8d6zZw+WLVuGu+66y633W5OvqebNmyM8PLzc7QIDA6v1ft1BzvdidHQ0IiIikJGRgYMHD5aayG/fvt3x97Fjx5CZmen0eOTk5ODkyZMAUGZCVVXJycmYOnUqzp8/D0EQEBUVhXbt2sFoNCIpKQmnT5/GsmXLMH78eLz00kvlvse90YYNG7Bhwwa89NJLkiT+0qVLuPvuu3Hx4kUolUo0a9YMVqsVBw8exP79+7Fu3Tp8+eWX8Pf3l9xeTk4O4uPjceLECQiCgGbNmkEURRw/fhzHjh3Dxo0bsXjxYsl3cGkWLFiAf/75p9ofM1D4Wnz44YdhMBig1WrRqlUrZGZm4vfff8fvv/+Oe++9FzNmzCix39GjRzF58mRkZ2dDo9GgRYsWuHbtGnbt2oVdu3Zh7NixeO2118q9f1EU8b///Q95eXmlbjN16lSsWrUKTz/9NFavXg21Wl2lx+zMX3/9hRdeeAFXrlwBAISFhaF169bIy8tDcnIyEhMT8f333+Pmm2/GW2+95dJxo6p5/fXX8c033wAAWrZsCaVSiaNHj+Lo0aPYsmUL5s+fX6HXwr59+/Dggw8iJycHSqUSTZs2hc1mw7lz53DmzBn8+OOP+PLLLxETEyPZLycnB5cuXYJSqURsbGypt69UKiv2AMVKunDhgqjT6USdTifu2rXL6TZGo1H8/vvvxbi4OFGn04l33XWXaDQaJdsUFBSIZ86cEc+cOVPZUBxmzJgh6nQ68amnnqrwvpcuXRLPnDkjZmRkONqKPsakpKQqx+eK/v37izqdTvz+++8l7Tk5OeKZM2fE8+fPuyUOd3rvvfdEnU4nDhgwQNTr9S7vV9rxluO4lcUei06nEzt37iwmJyeXum3R2C9cuFAt91/aa6oq7DGuWrWq2m7T09TE81YRTzzxhKjT6cSHHnqo1G369Okj6nQ68dZbbxV1Op24du1ap9tt2bJF1Ol0YseOHR3vser+TDEajeLgwYNFnU4nPvjgg+LVq1cl6w0Gg7h06VKxbdu2ok6nEz/66CPJepPJ5PguMJlM1RKTu2VnZ4u9e/cWBw8eLJrNZsm68ePHizqdThw2bJh47tw5R/uRI0fE66+/XtTpdOJrr71W4jZnzpwp6nQ6sW/fvmJCQoKjff/+/eJ1110n6nQ68fnnny83tmPHjont27evkfduRkaG2L17d1Gn04lPPPGEmJOT41i3bt06xzH/9ddfJftZLBbHa2bixIliamqqY913330nRkdHizqdTvzxxx/LjeGbb76RfNaW9vn5448/ijqdTpw/f34lH23p1qxZ43isEyZMEPfu3SvabDbH+tzcXHHhwoVi165dHe/boo/Z03jad2llrFq1StTpdGLXrl3FvXv3Otr/+ecfx+fnhx9+6PLtZWdnO953U6ZMEVNSUhzrkpOTxXHjxjnyGYPBINl3z549ok6nE2+55ZYqP66iarRGXqPRYPTo0ViwYAGUSiX27NmDr7/+WrKN/Zd7RUthqlujRo3QqlUrl3oX5RAcHIxWrVqhadOmcodS7a5duwYAiI2NLdEb5UsEQUBBQQFmzpwJURTlDoc8XK9evQAABw4ccLr+xIkTSEtLQ4sWLTB06FAA0h76ovbu3QsA6Nq1q+M9Vt2fKb/88guSkpLQqFEjzJkzB/Xr15es9/Pzw1133YXp06cDABYtWiTpPVWr1Y7vgproKXWHzz//HOnp6XjwwQclZaKHDh3C/v37AQBz5sxB8+bNHevat2+P5557DgCwcuVKWCwWxzqTyYSffvoJAPDss89KSpK6dOmCp59+GkDh2SOTyVRqXCaTCc8++yysVqvLZTgVsXLlSmRnZ6Nx48Z45513JGfehw0b5jij9e2330r2O3jwIJKSkgAAs2bNQmRkpGPdmDFjHOVlK1euLPP+k5OT8cEHH0Cr1ZYb69ChQ9GsWTPMnz8fmZmZLj0+Vxw9ehQvvvgirFYrxo0bh6VLl6Jbt26Ss05BQUGYPHkyVqxYgXr16iExMRH/+9//qi0GkrJarfjss88AAE8//TS6devmWNehQwe8//77AICvv/4aubm5Lt3m6tWrkZmZiXr16mHOnDmoV6+eY11UVBQ+/fRThIaG4uLFi/j1118l+544cQJAYRVLdXLLYNfu3btj7NixAIAvv/wSBoPBHXdLXsJmswFAjXzBeJKJEycCKEyqli5dKnM05OnsiXxGRgbOnz9fYr29rr137964/vrrAQB///230x+J9kS+Jstq7CUbMTExZb6X7UldQUGBo17VF2RmZuKbb75BaGgobr31Vsk6hUKB0aNH44477kDLli1L7Guv1zYYDMjIyHC0Z2VlOb4vi5+mB+BI7A0GQ5lJ6ccff4xTp04hPj5ekixXlyZNmmDo0KGYMGGC02Nvf3z2WmK7q1evAigsPyn+ww/47/HZy1ScsdlsmDFjBgoKChzj28qiUCgwZswYFBQU4Kuvvip3e1e99957MJlM6NixI1566aUy667btGnjKBf6888/sXbt2mqLg/6zb98+JCcnQ61WO34UFtWrVy80a9YMBQUF+P333126zd27dwMA+vfv77QsKjw83FEKWbyMzZ7It2nTpkKPozxum7XGnshnZWVJBr3t3r0b0dHRiI6OlvREAMDhw4fx+OOP4/rrr0f79u3RvXt3jBkzBp9//rmkJ8d+G2vWrAFQ2DsRHR2N+Ph4AIUDNqKjo9GnTx+kpKRg2rRp6NSpE3r06IGnnnoKQOFg1+joaHz44YdO47fZbFi6dCmGDh2Kjh07onfv3njsscec1huW9Zjs7OvtL4qPP/4Y0dHRjkEQL7zwAqKjo/Hxxx8DKPwVGB0djRtuuMHp7e3cuROPPPII+vbtiw4dOuC6667D1KlTsWnTJqfbDxgwANHR0UhMTMSePXswbdo09OzZEx07dsStt96KuXPnIj8/3+m+ZbFarfjhhx8QHx+P7t27o0OHDujXrx+eeeYZHD16VLKt/THbj9uaNWscz8vFixdLvY/yjndRoihizZo1GDduHOLi4tClSxeMHDkSK1asKLVX3GQy4euvv8bYsWPRtWtXdOrUCTfffDPefvttpKamVvg5sRs4cCCGDRsGAJg9ezaSk5MrfBvZ2dn45JNPMHz4cMTFxSE2Nha33nor3n333RKxlfeakov9vfbGG2+Uus1nn32G6OhoTJgwQdJe0WNjf62MGTMGZrMZCxcuxO23347Y2Fh069YNd999NzZv3izZx5XnLSUlBW+88QZuvvlmdOjQAXFxcRgyZAjeeOMNp6/dop8J9vd8eZo0aYKoqCgAznvl7b3vffv2Rfv27VGnTh1kZmbiyJEjku0KCgpw7NgxANJEvrTPFPvx+fPPP3HixAk89thj6N27Nzp06ICBAwfirbfecpo02nvRDx8+7DjL5kz9+vWxdu1abN68GR06dHC02z+no6OjHT9ciraV96/469pqtWLNmjW4++670aNHD3To0AEDBgzAiy++6OgFLsr+fFT2/lauXAm9Xo9bbrkFfn5+knWdOnXCG2+8gffee8/pc2L/HgkKCkLdunUd7REREY7bsh/DouzjHvz8/CT7FXXo0CF89dVXaN68uWNgdHUbMmQIZs2ahalTpzpdb39NFh8s2bBhQwCFZ2XtSX1R9sfXuHHjUu974cKFOHDgAG6//fZSJ+Ao7vbbb4cgCFi5cmW1dCyePn0au3btAgBMmTLFpRrn/v37OxI+e/12QUEB4uLiEB0djd9++63UfSdPnozo6GjMmTNH0p6eno733nsPQ4YMQWxsLOLi4jBy5EgsXLgQRqOxxO3YP+s++OADbN682fF5NmDAAMeZoNKIoojff/8djz76KPr3749OnTqhU6dOGDBgAJ555hmnudFzzz2H6OhoLF68GImJiXjooYfQs2dPxMXFYfjw4fj666+dxlmR92XRiVUOHToEAGjXrl2pZ2vsg4737NlT5uO1e/DBB/Huu+9i5MiRZT43wH+dlHb2RL66B1pXy2BXV8TExCAoKAh5eXnYs2cP+vbtW+b2mzZtwhNPPAGLxYKwsDBER0cjPz8fCQkJOHz4MNatW4dvv/0WQUFBCA4ORpcuXXD+/HlkZGQgPDwczZs3L3H6wmQyYcqUKUhKSkKbNm1w+fLlMj8ginrxxRexd+9e1KlTBzqdDufPn8evv/6KTZs24Y033ijzoLqiYcOG6NKlC44cOQKTyYRmzZohIiLC8UFXlqIDOerUqYOYmBikpKRg+/bt2L59O2699Va8//77Tk9X//DDD1i8eDE0Gg2aN2+O7OxsnD17Fp9++il27NiB5cuXuzyiOy8vD1OnTsXBgwcBFH74Nm3aFElJSVi3bh02bNiAGTNm4J577pE8Zvtxi4iIcHzQF/8iLMrV4w0UJmF79+5FaGgoWrRogUuXLuHIkSM4cuQIEhIS8Pbbb0u2T01NxbRp03D8+HEIgoBGjRqhTp06OHPmDBYvXoy1a9di3rx56Nq1q0vPibN4du3ahbS0NMycORNLly51+fk9ceIE7rvvPqSmpkKhUKBVq1ZQqVQ4ffo0Fi5ciFWrVuHjjz9Gz549AVTtNVWTRo4ciT179uDnn3/GzJkznX7p/fjjjwAgmVWjKsfGbDbjvvvuw86dOxEWFoZWrVrh3Llz2L17N3bv3o1XXnkF48ePB1D+85acnIxx48YhIyMDAQEBaNGiBYDCGTuWLl2KNWvWYOnSpWjXrl2Vn6vevXvju+++w4EDB3DnnXc62vPz83Hw4EGo1Wr07NkTCoUCvXv3xs8//4zt27dLSjAOHjwIi8WCunXrOu3VLc2ff/6Jb7/9FqIoonnz5ggMDERycjK+/vpr/PHHH1i9erWkR+r666/HwoULkZGRgdGjR2Py5MkYPHiw0x7gtm3buhSDn59fmbN7pKamOn44NWrUyNGen5+Phx9+GDt27ABQ+OOhSZMmSEpKwvfff49169bh/fffx+DBgx37REREVGgmkeLvo59//hkAcOONN7p8GxaLBT///DPeeustAMB9990neT8olUqMHTsWS5YswaxZs9C6dWu0b98eQGFiby8NuOuuu5zO+GYwGDBjxgyIooi3337b7aWLOTk5WLJkCVavXg2VSoX77rtPsr5Lly5o27Ytjh8/jmeeeQYffvih4wfJTz/9hFWrVkEQBEyaNMnp7Z85cwYfffQRIiMj8cILL7hcHlGvXj3ExMTg+PHj+OuvvzBo0KAqPU7760yhUDjOjrnipptuwsGDB3HkyBHHd+Att9yC1atXY926dbjppptK7JOSkuL40VD083H//v2YPn06srKyoFar0bx5c4iiiKNHj+LIkSOOAZjO3o979+7FwoULERoailatWiExMbHM96goinj66aexYcMGAIXvrzZt2iArKwuXL1/GunXr8PPPP2PevHlO3w8nT57E3LlzUVBQgDZt2sBiseD48eM4fvw4Nm7ciAULFkjKsyryviz6+OwdAvYOEWfsOaCzH/fO2H+wlCYzM9Pxo6B169aOdqvVitOnTwMofP0tXrwY+/btQ25uLurXr49+/frhlltuqdQMOjU62LW4YcOGlRicuGvXLsft2AcHWa1WxyCEL774QrRYLI7tjxw54hhosGDBAsntuzL4sUePHuLp06dFUSwcnJWbmyuKoijeddddok6nE2fPnu10P/uACPsgLIPBIL7yyiuiTqcT27dvLxms6+wxFVfac1faADv7gI3rr79e0v7VV1+JOp1ObNeunfjNN9+IVqvVse7nn38WO3fuLOp0OvH11193ej86nU587rnnHIOTbDabZNDQb7/95jR+Z+6//35Rp9OJffr0kTwuo9Eozpkzx3GbGzdulOxnP24zZsxw+b6K7lfW8Y6JiREXLlzoOG4mk8lx3HQ6neS42Ww2cezYsaJOpxPHjx8vJiYmOtbl5OQ4Bp317NmzQgOU7Pf1999/i6Ioips3b3a0LVq0qNTYiw7Wys3NFfv27SvqdDpx7NixkgGzaWlpjue+a9euJQbTetpg14KCAscA+G3btpVYf/jwYVGn04mxsbGO92dlj03R92Lnzp3FdevWSfabNGmS43Oh+Hu1tOft8ccfF3U6nfjII4+IeXl5jva0tDRHjPfee2+Jx2wfyFlQUODyc/XTTz+JOp1OHDJkiKTd/hq66667HG0//PCDqNPpxHHjxkm2/fDDD52+T0r7TLF/Fup0OnHatGmSwVybN292DOYr/toVRVF86qmnJJ+Z0dHR4m233Sa+/PLL4oYNGySTCRRX0YF1KSkpYr9+/USdTic+++yzknX2gcK33XabePjwYUe7wWAQZ8+e7Rj4e/LkyXLvxxUZGRmOgZnXrl0rd/vk5GTxzjvvdAx6jI2NLfF9Zmc2m8VXX31VbNeunRgTEyMOHjxYvPnmm8WYmBixU6dO4uzZsyWf+0W9/vrrok6nE9955x1Hm/11XZMD1X/99VfxtttuEzt06CDqdDrxxhtvFLdu3ep029TUVPGee+4RdTqd2KFDB3HYsGHiDTfc4Pgu2bBhg9P9zGazeOedd4o6nU7csmWLKIoVmyzgtddeE3U6nfjqq69W6bGKoig+99xzok6nEwcOHFih/Xbs2OGId8eOHaIoiuLevXsdz0XRQcN2X3zxhWMwrd3Vq1fFHj16iDqdTnzhhRfE7Oxsx7rz58+Lo0ePLrGPKIri3LlzHff/0EMPOSYjsb9PS3tP2j87OnXqJP7xxx+S2zxz5ox42223iTqdThwxYoRknf07W6fTif379xePHTvmWHfgwAGxd+/eok6nE1988cUKPY+lsX8vvvHGG6Vus2TJkmodgPrkk0863tPp6emO9jNnzjgeu/37r/i/UaNGST5vXeXWC0LZp6DLysoqc7vMzEykpaUBKBzwUrSHon379njiiScwaNAg1KlTp8IxTJgwwfErSaPRuDz109ChQ/H44487erX9/Pzw0ksvoWvXro5T9u5mNBodAzkeffRRTJw4UfJr7tZbb3WULyxfvtzpKf+YmBi89dZbjl+/giBg4sSJjt5t+wCt8hw6dAhbt24FAMydO9fRKwwUPs+PPfaYo7zKnVNFjho1CpMnT3YcN7VajRkzZjiOe9Eyr99//x0HDx5EvXr18OWXX0pqWYODg/Hmm28iNjYW165dw+LFiysd08CBA3H77bcDAD788EOXegKWL1+O1NRU1K1bFwsWLJD0MNStWxdz586FTqdDbm4u5s+fX+nYKmrmzJkune4sWk6i1WodNcTr1q0rcZv2tptvvtlxnKrj2Dz66KOO0ib7fs888wyAws+kc+fOufSY7adHb7/9dsm0mnXr1sXzzz+P66+/XtITY3/M9oGcrgzIs+vVqxcEQUBiYiKys7Md7faymqK9f/aznAkJCZKeSXt9fHlnQYuLiIjA3LlzJYO5Bg4c6CjFcVbu8+677+Kpp55yPC+iKOL06dNYsWIFnnzySfTp0wfx8fEuf66UpqCgAA888AAuX76Mrl274vXXX3esO3HiBH766SdotVp89dVXkt4zPz8/PPHEE7j11lthNBoxb968KsVht2fPHoiiiMjISJe+l86ePYujR486jpPJZMKBAweQmJjodPuWLVuiXr16sNlsSEpKwrlz52Cz2RAYGIigoCBYrdYS++zevRvffPMNWrZsiccff7wqD6/CEhIScPr0accA3OzsbGzdutXp1JBKpRIdOnSAVquFyWTCyZMnJbXzpV1bZv78+Th69CjuvPNO9O/fv8Ix2r/j7L3bVWEvJatoTlJ0rnF7uVq3bt3QrFkzmEymEoMlAednK7/66itkZWVhwIABeP311yVzkDdt2hTz5s1DUFAQ9u3bh23btjmNZcaMGY7xDeVN+vH3339DpVJhwoQJJXrcW7Vq5SixKm0MjEKhwLx58yS9/nFxcXj33XcBFFYKpKSklBmDK/R6PYCyz/Dbz1JVR4nVvHnzHGcppk+fLjm+9u8NoHDsx7Jly3Do0CHs3r0b77//PiIjI5GQkIBp06aVOXDdGbcm8mazGQDKnTs4LCzMMf/u008/jYMHD0pqjcaMGYNPP/0UY8aMqXAMlS2JcDb3tyAIjhhKe3PUpH379iEnJwcqlcoxkLK4IUOGoH79+rBarfjjjz9KrO/Xr5/T42GfRcjVU5X2JL5Tp06lnga79957ARSe7nLXILeip87t/P39HSU8RWt97bXSgwYNQkBAQIn9BEFwJOD2x1tZL7zwAiIjI2EwGDBz5swStXTFbdmyBUDhRX2Kzk1tp9FoHGMEtmzZ4rZZcZo3b44uXbqU+6/49SPsX0K///47CgoKHO1ms9lRm1n0i6o6jo2zL/uis2Xl5OS49Jjtrx17XWnRL4COHTviyy+/xMyZM126rfKEhYWhbdu2EEXRUbIGFM5VDUiT8wYNGqBVq1awWCyOH04mkwkJCQkACst0KqJXr15OvwDL+mxQKpWYNm0atm/fjg8++ADDhg2T/BCw2WzYs2cPJk6cWOkfnDabDU8++SSOHj2KqKgofPLJJ5IBlvba4h49ejgdQAnAMfDtzz//dJoEV5S9k8TVC+Z06tQJO3fuxP79+7Fo0SK0adMGW7duxYQJEyRjZywWCx566CG8/vrrUCqVmDdvnmPe+Q8//BBqtRoffPABHnnkEcnjyMvLw8yZM6FQKPDOO++UmcjUhPj4eBw8eBDbt2/HO++8A39/f3z77beYNGmSZNzY1atXMW7cOHz++eeIi4vDDz/8gH/++Qfbt2/HM888g6SkJDz66KP44osvJLd/9OhRzJ8/H/Xr16/0rC/2kriyxmO5yl7XXdHZlop2Uhb9zLaX0RXv6Dh+/DhOnTqFgIAAyYWy7J+P9s/A4urWresYH+Ps8zEyMrLM8pPiZs2ahYSEhFIHF9s7K0wmk9Pvtuuuu85pmV/fvn3RpEkT2Gy2Kn/HAhWbj72q17T45JNP8NFHHwEo7PAoXkbWqFEjxMfHY9KkSVi0aBG6desGrVaLOnXq4Pbbb8fSpUuh1Wpx/PjxcmdpKs5tNfLAfx/85V2xSqlU4umnn8aLL76Ibdu2Ydu2bQgNDUXPnj3Rp08f9OvXDw0aNKhUDJUdsW+vSyzOPmghLS0NOTk5FboaV1WdPXsWQOGXR2lnFgRBQLt27ZCSkuK0x7Hol2xR9l+prn7J2WMp7XkCCpM++ziJc+fOVfsUTM6U9kVu7zEsmoTZf1xs3bpV8uu5KHuyl5SUBFEUK/3mDw0NxWuvvYYHH3wQBw4cwNdff43JkyeXur392JX1/NrXZWZmIisrC2FhYZWKrSLuv//+Sl0dsmvXrmjevDmSkpKwefNmxxfQ9u3bkZmZiSZNmqBHjx6O7avj2Dh7LRStGXb1tf7YY49h9+7dOHfuHB566CFoNBrExcWhT58+uPHGGytUh+6K6667DseOHcOBAwfQr18/nDt3DhcuXEBERESJOta+ffsiMTERu3btwqBBg3D48GGYTCbodLpS3+ulKe29Y3/OShvIDxS+v4YNG+Y4A3L+/Hns3LkTmzZtcsys8+GHH6Jdu3alDuAvzVtvvYWtW7ciKCgI8+fPL9F7aK9DPXLkiGPcQ3H2xCs/Px8pKSlo1KgRtm3bVqEfFyNHjsSoUaMAwDHTjKsXPCz63rSPgxg5ciTOnDmDefPm4Z133gFQOAHAH3/8gYCAACxatEiSbA0ZMgQdO3bE8OHDsXXrVvz444+O9+I777yDS5cuYerUqWVeeKam2L+fAwICcOeddyI2NhbDhw/HkSNHsG7dOkecs2bNwvnz5xETE4PPP//ckQjXq1cPU6dORdOmTfHII4/gww8/xODBgx091c899xzMZnOJ3ueKsO9nNBqRl5dXpQsz2Xvii541c0XRQeFFX8d33nkn5s6di7179+Lq1auO59PeG3/zzTc7vsPy8/MdA/PnzZuHJUuWOL0v+zb27+qiKvrZABTmaUajEfv378fZs2dx4cIFJCUl4cSJE5JZhmw2W4m677JqzO2TXRQ9U13a+9iZyMhIzJ07FwAcnT7OBtDa2XOAyo4fsVgseO211/Ddd98BKPwM/vDDD0t8/8TFxZV6YT+g8IflsGHD8P3332Pz5s0lJnooi9sSeZPJ5HghuTJn/JgxY9CsWTMsWrQIO3bsQHZ2NjZt2oRNmzZBEATceOONePXVVyuc0FfmYKnV6lKnUyt6al2v17s1kbefpizvy8P+AeVsFprypnx0tWfX1VgCAwORl5dXqRlxKqMiPVH2x3DlypUypzsDCpO+/Pz8Kn34DxgwALfffjvWrVuHOXPmoF+/fqX26Ljy/BaNJT8/3y2JfFWMHDkSs2bNwvr16x2JvP2L6s4775R8EFbHsSmvt8zV13rbtm2xbt06LFiwAL/99huysrIcg2Znz54NnU6Hl19+WTJncVX07t3bMTMH8F9vfO/evUt8WfTp0wdff/21o0e+KtNOVudc7s2aNUOzZs0wbtw47NmzBw8++CDy8vKwfPnyCiXyixcvxtKlS6FUKjFnzpwSJUzAfx1GGRkZkqkcS5OTk4NGjRohIyOj1Dn7nSl6hsP+I7IiZVNF+fv7Y9KkSXjxxRcls2fYSyvuuOMOpz2mUVFRGDFiBJYsWYINGzZgxIgR2LZtG3744Qe0atUKjz32WKXiqW4tW7bETTfdhA0bNmDPnj0YMWIERFHExo0bARR2CDh7vQ0ePBgxMTE4ceIEfvnlFzzwwAP46KOPcOrUKYwcObJCA4uLK3qssrOzq/RZHhMTg59//hnJycnQ6/Uuvw6OHz/u+Ltox1aDBg3Qu3dv/PXXX1i/fj3uu+8+WK1WR9lG0c6TouVKrpzpdnYmraJnbMxmMz788EMsW7ZM0hmmVCqh0+nQqVMnx7F1xtlZZTt78l30DGlF3pdFJzCxfweWVc5t/zFVtAzGVXl5eXj00Ufx999/Ayj8cf3uu+9Weipte8dMRc8SuS2RT0hIcJTWuDoCuWfPnujZsycMBgP27duHvXv3Yvv27Th69Cj++OMP3H///Vi7dm2NX+bbbDbDZDI5PThF3xTOknhnyUHRUoKqsP+IKK/8xf6GKPqjo7q5Got9fU3GUln2D98XX3zRaSlVTXjhhRewc+dOxyw29lkoigsMDER2dnaZz2/R3iBPfH6Lu+OOOzBnzhzs2LEDmZmZUKvV2Lp1KwRBwPDhwyXbynFsyhIVFYU33ngDr732Go4cOYI9e/Zg586d2L17N06dOoWpU6fil19+qZYZgrp16wa1Wo0jR47AarU6vjSc1bz36NEDGo0Gp0+fRnZ2tqMWvSbnjwcKSx1mzpzp6HApKzHo0aMHJk6ciAULFrg8LgEoLB+w19D+73//K3V2EPtr5d5778WMGTNcvv0RI0ZU6uwS8F8iVFp5ll6vx6VLl6BWq0stv7HPumMfHwb8N++6s7nn7ew/Zuxf/r/88gsAIDExUTJ7UXEzZ87EzJkz0aNHjypf1yIrKwsXL15Eo0aNSq2vtidY9seXkZHh6Ckt7/GdOHGixONbtWoVVq1aVep+9qkoH374YTzyyCMl1hf9vKzqbD79+vXD7NmzYTab8ccff5S4jkBp7CUx7du3LzF96MiRIyWJ/I4dO5CWloaoqCh0797dsV3RHw3r1693y5nul156CatXr3bMqtS9e3e0adMGzZs3h7+/P/7+++8yE/myciD7D5OiibV9GtKKsnca2zuRnbGvK3qRNldcvXoV9913n+PH05QpU/DMM8+UmY/abDZYLJZSE317vljauJDSuK1G/ocffgBQeAqn6IvQGZPJhMTERBw+fBhA4Zusb9++eOKJJ7B69WrMnj0bQOHggcoe4IpydjoK+G9u36ZNmzreUEXrspwNWqjKXORF2T/8zp8/73QQEVD4wrHH6Gr9ZlViKT5XfFGJiYmON3BNxlJZ9ppJ+6l5Z65cuYJDhw5Vy0Ac4L8SG6BwmsBFixY53c6V59c+V3NoaKjH98YDhaUbffr0gcViwebNm7Fx40YYjUb06NEDTZo0kWwrx7FxRhRFXLx4UTLdXKdOnTB16lR89dVXWL9+PYKCgqDX60u9hkNFabVaxMXFQa/X4/Tp0zhw4AAEQXCayGu1WnTp0gWiKOLYsWM4ePAgNBpNuZ+5VRUSEuIYpLhz585yt7eXOLp6Je2EhAQ8/fTTsNlsmDBhQpk/5lx5rVy7dg379+/H5cuXq2U8iT0JK23+/Ndffx233XZbmddOsCftRUua7L3ERZP74uxnHezbljduxZ5E2LerjsRv1KhRGDlyZJmJtT1hsj++wMBAR9JTkcfXoUOHUh9b0esS2Lcr7ce0/Vip1eoye4hdER0d7ZjgYf78+S4NVty7d69joK2z1/OgQYMQGhqKkydPIikpCevXrwdQOE6qaLIYEhLieP2dOXOm1Ps7efIkjh8/XuHyn+JSUlIc13B5/fXX8dprr2HYsGGIiYlx/CBydk2Aosp6b9pLJ52dbasoewnPsWPHSj0m9rFHZZW9FJeSkoL4+HicOnUKSqUSr7zyCp599tkyk/iJEyeiQ4cOpV5LAvjv+72ij90tifyePXscgzamTZtW7gCEP//8E0OGDCl19G7RU5pF61rtT2JNDPRz9gFltVqxYsUKAJBchKBoEuXsB0BZF3qoyGPo2rUrQkNDYbFYsGzZMqfb/PTTT0hLS4MgCBWa37ai7AMJExISSj0NZp9NpEGDBtVyQYTqPt72x/Dzzz+Xekr+f//7H8aOHeu4kFh1GDBggGPw3fLly8uMbe3atU4/iE0mk+O1WPw41+T7oqrs11/47bffHGUEznpF5Tg2zp63rKws3HzzzZg8ebLTC560aNHC0bNa3gDmirjuuusAFH4OZWdnIyYmptQLANkT/A0bNiA/Px9du3at8fnDo6KiHF+Es2bNKrVjASh8Xuy9qv369Sv3ti9duoQHH3wQer0effr0wfPPP1/m9vbXys6dO0udBWbWrFmYMGEC4uPjq+V9Yf/xUNqPSPsx2bFjh9MLwZlMJsdneNFB2fbjvn79eqe9mCaTyZHg2bd94IEHsGLFilL/2X9E3X///VixYgVefPHFSj3mouxnfFauXOk4817UxYsXHb3P9u9KrVbrqN///vvvnd7u+fPnHTOL2a90PHfu3FIfm32wIQB89NFHWLFihWMcQ3H2YxUVFVXhHlBnXn/9dQQEBODEiRN4+eWXyxxzk5yc7Jgxq0+fPpJrRNhpNBoMHToUQOHn3u+//w5BEJxua38fffPNN04/d3Jzc3H33Xc7LrpUFUV//Dobs2Wz2bB69WrHsrPnYdu2bU5/vG3duhVXrlyBRqOR5FSVFRcXhwYNGkCv1zvKNovasWMHzp8/j6CgIKdz9jtjMpnw4IMPOq4Y+9FHH7lUw9+mTRtYrVZs2rTJ6efjpUuXHJ+LQ4YMcSkWuxpN5PPz87Fs2TLcf//9sNls6NWrl0sP+IYbbkBYWBiysrIwY8YMSX1TXl6e4/Rqw4YNJZe6tZcTFL8MdHVYunQpli1b5niT5OXl4dlnn8XRo0cRGhrqmJEFKPxQt58Weu+99xynW0VRxPr16/Hpp5+Wej/2+rCyTgXZabVaTJs2DUDhh1vR+ABg48aNeOmllwAUjjmwf9nUhLi4OEe94qOPPiqZbtBkMmHu3LmOD+vyfrm6qrqP95AhQ6DT6ZCTk4MpU6ZIeg3y8vLwyiuvYMeOHRAEwfG8V5fnn38ekZGRpSYV48ePR/369ZGeno77778fFy5ccKzLyMjAY489hlOnTiEwMLDEaeSKvKbcbcCAAahTpw527tyJXbt2ITAwEDfffHOJ7eQ4Ns6et7CwMMcPpf/973+SRNFms2HZsmU4depUiQvD6PV6JCYmIjEx0TElWkXYOy/sHQplTSVpX2e/QFFNl9XYzZw5E1qtFqdOncLo0aOxefPmEh0xiYmJmD59Ovbv34/mzZuXOtuWXW5uLqZNm4b09HS0bdsWc+fOLTfp6tatG/r27QuLxYL77rtP0rFgMpkwb948xxni++67r3IXYCnGXi6anp4ueW/a3XTTTY4L3zz00EOSWua0tDQ8+uijOHHiBMLDwyWv37vvvhuhoaG4cuUKpk+fLvmsy8jIwKOPPoqzZ88iNDTUcaG9qrp8+TISExMr9Lk6depU+Pv7IykpCU899ZRkNrBjx45hypQpMBgM6N69u+Tqqw8//DAEQcCmTZvwzjvvSBKcEydOYNq0aTCbzYiLi6vwoOjy2F8XxWeyq8zjBwrPMr/55pvQaDRYvXo1Jk2aJJlpCigsKfnuu+8wZswYXLlyBU2bNsW7775b6vehvVPjyy+/RF5eHnr27On0IpbTpk1DQEAA9u/fj2eeeUby/F+6dAnTpk1DVlYWgoODy33PufI47Z2xX3zxheTz7PLly3jsscck0zo7+7zT6/WYPn26ZLzT7t27HbN9TZs2zeWB42URBAEPPfQQAODtt992jC8CCnu/7aV38fHxJe4vNTUViYmJJX54f/HFF46e85dfftnlHwD33HMPNBoNUlJS8MQTT0h+yJw4cQJTpkxBQUEBunfv7nS2vbJUS438G2+8IRkoYrFYkJOTgwsXLjh+jQ0YMADvv/++S798NRoNPvroI0yZMsXxS7Rp06ZQKBS4cOECCgoKoNVq8c4770hqjewDBQ4cOIBbbrkFrVu3xieffFLlx6dWq9G3b1+89tpr+Oyzz1C/fn2cPXsWBQUFCAwMxNy5cyWnQxUKBR5//HHHwKUbb7wRLVq0QGpqKtLS0tC/f39kZmY6SoeKateuHU6dOoUvv/wS27Ztw+DBgzF9+vRSY5syZQouXryIFStW4LXXXsPHH3+MqKgoXL161VHCc/PNN5fbi1Ud3nvvPTzwwAM4ePAg7r77bjRu3Bjh4eE4d+4c8vLyoFQq8fjjj+O2226rlvur7uOtVqsxb948TJ06FcePH8fQoUPRokULaLVaJCUlOXrEZs6cWe1fKqGhoXj99dfxwAMPOF0fEhKC+fPnY9q0aTh48CAGDx6M1q1bO67sajabUadOHcyaNatErV9FX1MVsWDBAkdSVJ4HHnigxOA0jUaDYcOGOWp077jjDqcDxeQ4NqU9b6+99hrGjh2LU6dOYejQoWjSpAmCg4Nx+fJlx+n6J554QnJ6NCEhAXfffTcAYMmSJZLrLLiiY8eOjhmfgLITeXtvfXp6ernbVqfY2Fh89tlneO6553D27Fk89NBDCAgIQOPGjeHv74/U1FRHL2jbtm3x8ccflzvA8KOPPnKUCwQEBOCJJ56AwWBwOmNO0dkqPvjgA9x///04fPgwxo8fjyZNmiA0NBQXLlxwdKzcc889GDduXLU89vr16yM6OhonT57E/v37SwxMtb9+J0+ejFOnTuGOO+5wlGOePn0aFosFkZGR+OyzzyQzq0VGRmLevHl46KGHsHPnTgwcONBxReczZ8443veffvpppWYecWbGjBnYs2dPhWrno6KiMGfOHDzxxBPYuHEjtm7dihYtWsBoNDpmH+ncuTPmzp0rSVqvv/56PP/883j77bexaNEifPvtt2jZsiXy8/Md+8XExODjjz+u9rFw9vEjxT+TKvP47YYMGYLGjRvj8ccfx969ezFu3DjHVaGNRiPOnz/v+HFrv85LWe+BDh06QKfTOX74lTaGo1mzZo7nf8OGDdi4cSNat24Ns9mMpKQkWCwWBAQE4PPPP6/UoM6iwsPDMXnyZHz55ZfYsGED/vjjDzRr1gz5+fk4f/48RFFEz549sX//flgsFly9erXE/PrNmzfH8ePHMWjQIOh0OhQUFDiO99ChQ3H//fdXKcaiRo8ejT179mD9+vWYMmUKmjdv7hhHJIoibrjhBjz88MMl9ps9ezbWrFmDxo0bO6Z/NplMjjMaKpUKq1evlpx9KO7GG290fKc3b94cH3zwAZ555hn8+eef6N+/P1q0aAGLxeKo3OjQoQM++eSTCncuVEsiX3yktEKhgFarRcuWLdGxY0fcfvvtjtNirurZsyd++OEHLFq0CPv370dSUhJUKhUaNGiAvn374t5775VckhsorB07e/YsfvzxR1y8eBFms7laTm8LgoCPP/4YX3zxBdasWYOTJ08iLCwMQ4YMwQMPPOB0NoExY8agQYMGWLx4MRISEpCYmIgWLVrg/vvvx8SJE0v9VTxjxgzo9Xrs2LED586dK/XUcNHYXnnlFdx0001Yvnw5Dh06hOPHjyMsLAz9+/fHqFGjqnz5aVfVqVPHcYn6devW4eTJk0hLS0P9+vVxyy23YOLEidVy2Xq7mjjeUVFRWLNmDVasWIGNGzciMTERBoPB0RMbHx9fY/XG/fv3x/Dhw7F27Vqn69u1a4cNGzZgyZIl2Lx5M5KTkyEIAlq0aIEBAwZgwoQJTqcMrOhrqiKSkpJcvrR1aSUxI0aMcHxhOjttbOfuY1Pa81avXj2sXLkSX331FbZv344LFy7gypUriIiIwG233Ya77rqrQpcUd4VKpUL37t2xdetWBAQElHn7giCgd+/eWLduHSIiIqp9Osyy9OrVC7/++it+/PFHbN++3TEVndFoREREBPr3749bbrkFw4YNc2mO56I9tOVdRKr4bBXLli3D6tWrsWHDBkf9fkhICG688UaMHTtW0jNcHe644w689957+PPPP0sM1gYKx1GtXbsWixcvxqZNmxzv35YtW2LgwIGYNGmS07Et3bp1w/r167Fo0SJs27bN0ePftGlT3HjjjZg8eXK1JfFV0b9/f/z444/46quv8Ndff+Hs2bPw9/dH165dcfvtt2PkyJFOZ6aJj49Hly5d8PXXX2PPnj04deoUNBoNOnfujCFDhmDcuHHVPg9+UlISkpOTUadOnSrNfONMbGwsNm7ciB9//BG//fYbjh07hpMnT0KpVKJp06bo1q0b7rzzTnTu3Nml2xs5ciTefvttBAUFldlTe+ONN+Knn37C4sWLsX37dpw7dw5WqxWNGzdGnz59cO+991ZorviyPPPMM+jYsSOWLFmCc+fO4eTJkwgNDUWvXr1w5513YtiwYYiPj8fevXuxdevWEp9BHTt2xAcffIC5c+di//79UKlU6NGjB8aPH1/hspLyCIKA999/H71798b333+PkydPwmKxoE2bNrjjjjswadIkl0urTp065ShttVgs5c6mU3ws4M0334w2bdpg0aJF+Pvvv3Hu3Dn4+/sjLi4OQ4cOxbhx4ypV5iWInlg4S0RE5EVyc3MxYMAAGAwGbN++vVJXHvcUb7zxBs6fP1/iQky+4r333sNXX32FRx55xGlvrK8/frk899xzWLNmDYYNG+bWK7z7Orde2ZWIiMgXBQcH4+6774bJZCr1rJo3sNls2Lt3b7XMGuKJzGYz1q5di5CQEEyaNKnEel9//OR7mMgTERFVA3t5zNKlS12agtATvfbaa8jIyEB8fLzcodSItWvXIiMjA/fee6/TAZW+/vjJ97jtglBE5Bkqein6ol588cVqHedA5EtCQkLwyiuv4LHHHsM333wjmc3MW4wbNw6PPvqoy3P8e5OCggJ89NFHaN++PaZOnep0G19+/OSbmMgT1TIVvRR9UeVduZeotrMP5p0/fz5GjBjhdbXy7hwc7W5ffvklsrOzsWjRIqcDbwHffvzkmzjYlYiIiIjIC7FGnoiIiIjICzGRJyIiIiLyQkzkiYiIiIi8EAe7liInRw+rtepXha1twsICce1avtxhkEx4/Gs3Hv/ajcef3PkaUCoVCAnRuuW+PBkT+VJYrTZYLEzkK0IQCv+3Wm3gEOrah8e/duPxr914/ImvAXmwtIaIiIiIyAsxkSciIiIi8kJM5ImIiIiIvBATeSIiIiIiL8REnoiIiIjICzGRJyIiIiLyQkzkiYiIiIi8EBN5IiIiIiIvxESeiIiIiMgLMZEnIiIiIvJCTOSJiIiIiLwQE3kiIiIiIi/ERJ6IiIiIyAsxkSciIiIi8kJM5ImIiIiIvBATeSIiIiIiL8REnoiIiIjICzGRJyIiIiLyQiq5AyAiIiKqTgaDAWazSe4wKkWt1sDf31/uMMhLMJEnIiIin2EwGNClawekp6XKHUql1I2shwP7jzCZJ5cwkSciIiKfYTabkJ6Winc/3wh/baDc4VSIQZ+PGdNuhtlsYiJPLvHYRH7mzJlYvXq103Vvv/02RowYAQA4ffo0PvzwQxw8eBAGgwGdOnXCo48+iq5du7ozXCIiIvIg/tpAaAOC5A6DqEZ5bCJ/4sQJREVF4ZFHHimxrkuXLgCAxMRETJgwAX5+foiPj0dgYCCWLVuGSZMmYeHChejRo4e7wyYiIiIicguPTOQtFgvOnDmDwYMH44477ih1u7fffhtGoxGrV69GVFQUAGDYsGEYNmwYXn31Vfz000/uCpmIiIiIyK08cvrJc+fOwWQyQafTlbpNeno6tm/fjoEDBzqSeAAIDw/HqFGjcObMGRw+fNgd4RIRERERuZ1HJvInTpwAALRp0wYAoNfrYbVaJdvYk/TY2NgS+3fq1EmyDRERERGRr/HoRH7btm3o378/OnfujNjYWEyfPh3JyckAgKtXrwIAGjZsWGL/Bg0aAAAuXrzopoiJiIiIiNzLI2vkT548CQA4dOgQpk+fjjp16uDAgQNYunQpDhw4gB9++AF5eXkAgICAgBL726ds0uv1VYpDEKq0e61jf774vNVOPP61G49/7eZJx79oLJ4QT0X4SuzkPh6ZyA8dOhSdOnXCAw88AI1GAwC46aabEBcXh0ceeQSzZs1CTExMubcjVOHVFBbmXXPPepKIiGC5QyAZ8fjXbjz+tZsnHH+NRgQAaLV+CAjwkzmaChLNAAqfx5AQ+Z/LyvCE10Bt4pGJ/PDhw522Dx48GA0bNsRff/3lmCfeYDCU2M7eEx8SElLpGK5dy4fVaqv0/rWRIBS+gTMyciGKckdD7sbjX7vx+NdunnT8c3NzAQB6vREQ1PIGU0F6vREAkJGRC5PJu7q23f0aUCoV7HSFhybyZYmIiEBqaiqaNGkC4L9a+aLKqp+vCLk/jLyVKPK5q814/Gs3Hv/azROOv/3+PSGWivLm2O28OXZv5HGDXdPT0zFs2DA8+uijJdaZzWacP38eUVFR6NixIxQKBRISEkpsZ2+Li4ur8XiJiIiIiOTgcYl8REQETCYTtmzZguPHj0vWLViwALm5uRg5ciTq1q2L3r17Y9OmTbhw4YJjm8zMTKxatQoxMTFo166du8MnIiIiInILjyutEQQBr7zyCu677z7cfffdmDBhAurVq4ddu3Zh06ZN6NmzJ+655x4AwIwZMzB27FiMHz8e99xzDzQaDZYtW4acnBx89NFH8j4QIiIiIqIa5HGJPAD06tULK1aswKefforly5dDr9cjKioKjz/+OKZMmeKYyUan02H58uWYPXs25s2bB4VCgQ4dOuDdd99F586d5X0QREREREQ1yCMTeQDo2LEj5s+fX+52bdu2xRdffOGGiIiIiIiIPIfH1cgTEREREVH5mMgTEREREXkhJvJERERERF6IiTwRERERkRdiIk9ERERE5IWYyBMREREReSEm8kREREREXoiJPBERERGRF2IiT0RERETkhZjIExERERF5ISbyREREREReiIk8EREREZEXYiJPREREROSFmMgTEREREXkhJvJERERERF6IiTwRERERkRdiIk9ERERE5IWYyBMREREReSEm8kREREREXoiJPBERERGRF2IiT0RERETkhZjIExERERF5ISbyREREREReiIk8EREREZEXYiJPREREROSFmMgTEREREXkhJvJERERERF6IiTwRERGRO4giNGIOFKJJ7kjIR6jkDoCIiIjIVwmiBc1tWxFl+wuNrTsRhFRY4IfLih44r7gR55Q3wSiEyh0meSkm8kREREQ1INh2EYPMT6GueFLSroIRTW3b0dS2Hd0tc/G7+j1cVl4nU5TkzVhaQ0RERFTNoqzbcadpfIkkvjh/5OAW8yNobt3ipsjIl7BHnoiIiKgatbN8i96WdyFAdGl7JcwYaH4GIp6r4cjI1zCRJyIiIqomTa3bnCbxWUJzHFOOxhVFV4SJZxFt/RGNbbsd6xWw4ibhLdwQ4+6IyZsxkSciIiKqBmG2M+hvnlkiiT+ruAnb1K/CIgQAADIRg7OKm9HX8gZirGsc2wmCiAVTANiM7gybvBhr5ImIiIiqyE/MwmDz49CgQNJ+QHkffle/50ji7URBie2ql5CgjJe0xzQC6lz+rMbjJd/ARJ6IiIioKkQRN5pfRoh4UdJ8WjEE+1XTAUFwvp8gYI/qcaQJ7STNdS59DGX+mZqKlnwIE3kiIiKiKmhp24Rmtm2StlShPbarXyo9if+XKCixXf0SbEVSMoVoRNCJpwDRtcGyVHsxkSciIiKqJD8xC73N70jaChCO3zQfwir4u3QbGYoYHFVOkLRpMrdCnflHdYVJPoqJPBEREVEl9bTMhhbXJG071M+hQKhXodvZp5qOXFG6jzZ5XpXjI9/GRJ6IiIioEhpZdyHauk7SlqToh3OKmyp8WxYhAPtE6cBXv/SNrJWnMjGRJyIiIqogQbSil+V9SZsJQfhbPbPcuvjSHMctuJYvbfO/sKCyIVItwESeiIiIqIJ01nUIFxMlbXtUj6FAqF/p27RAiy+2Stv8Ly+DYM6u9G2Sb2MiT0RERFQBKlGPrhZp/XqGoMMJ5Ygq3/anvwFi0RlsrHnwv7y0yrdLvomJPBEREVEFdLQuRSDSJG27VU9AFJRVvu3kdCA//BZJmzZ5ASDaqnzb5HuYyBMRERG5SCtmoJNlsaTtgqI3Lil7Vdt9ZDeYKllWGs5DnbWr2m6ffAcTeSIiIiIXdbZ8CQ0KHMsiCq/OWp2Mwd1hCWwradOkrKnW+yDfwESeiIiIyAUBYipirKskbaeUw5Cp0FXvHQkCjA2k9fZ+KT8CorV674e8HhN5IiIiIhfEWhZBBZNj2QoVDqgeqJH7Mta/U7KsNF1leQ2VwESeiIiIqBwBYoqT3vjhyBMa1cj9WQN1sAS1l7T5sbyGimEiT0RERFSOzpaFJXrjD6qm1Oh9Fu+V17C8hophIk9ERERUhkAxBTHW1ZK2k8o7kS80rNH7LVlekwL1tZ01ep/kXVRyB0BERESex2AwwGw2lb8hAEEANBoRubm5EMUaDqwcubm51X6bHS1LoITZsWyFGodquDceAKyBbWAJ6gBV3hFHm1/KapjD+9b4fZN3YCJPREREEgaDAV26dkB6WqrcoVSaxWKpltvxFzNL1MafVA5HvtCgWm6/PMb6d0oSeU3qeiBmVuGvJ6r1mMgTERGRhNlsQnpaKt79fCP8tYHlbi8IgFbrB73eKHuPfFZmKl5+bARstuqpJW9vWQE1DI5lG5Q4rLynWm7bFcb6wxGY+LpjWWlKgTLvKKzBHdwWA3kuJvJERETklL82ENqAoHK3EwQgIMAPENSyJ/IGfX613ZZazEN767eStjOKW5GnaFxt91Eea0BrWLXNodQnOdo0GVugZyJP4GBXIiIiIqfaWn+AH/6ruRch4LDqXvcGIQgwhQ+QNGkyfndvDOSxmMgTERERFaMUDeho+UbSlqQYgCxFS7fHYoqQJvLqrB2AVe/2OMjzMJEnIiIiKkZn/REByJC0HXJ3b/y/zOE3QCySsgk2Y2EyT7UeE3kiIiKiIgTRjFjLYknbRcV1SFe0d75DDRPVdWAJ7SZp02RskSUW8ixM5ImIiIiKaG37FcG4Imk7pKz5eePLYooYKFlmIk8AE3kiIiKi/4g2xFoWSppShE64ouhWyg7uUbxOXpV3FArDlVK2ptqCiTwRERHRv5rbtiJMPCdpO6SaKvsFmCwhXWFThUra1Jnsla/tmMgTERERAYAoorPlK0lThqBDsuJ6mQIqQqGCOfxGSRPLa4iJPBERERGAJradiBSPSdoOqe6VvTfersQ0lNf+huxX4CJZMZEnIiIiAhBn+UKynC1E4ZxikEzRlGQO6ytZVhovQ2G4IFM05AmYyBMREVGt18C2Hw3Eg5K2w8p7IQoqmSIqyRrQBjZ1uKRNnbVTpmjIEzCRJyIiolovzvKlZDkPDXBaOVSmaEohCDDX6SVpUmftkikY8gRM5ImIiKhWq2s7giY2ac/2YdU9sAlqmSIqnbnOdZJl9sjXbkzkiYiIqFYr3htfgAicVA6XJ5hyFE/kVXnHIJivyRQNyY2JPBEREdVaYbbTaG77Q9L2jyoeVsFfnoDKYQnpDFEhjU2dtUemaEhuTOSJiIio1io+b7wBITiuHC1TNC5Q+MEc0lXSxDr52ssrEnmr1YoJEyYgOjoaFotFsu7y5ct49tln0bdvX8TGxmLMmDH4/fffZYqUiIiIvEWo7Txa2TZK2o6oJsIsBMoUkWssxctrWCdfa3lFIj9//nzs37+/RHtaWhruuusubN68GSNHjsSMGTNgsVgwffp0rF+/XoZIiYiIyFvEWhdCwH8XVDIhEEeV42WMyDUlBrzm7AdsRpmiITl5zuSopUhISMC8efOg0WhgMpkk6z755BNcunQJy5cvR9euhaeZRowYgdGjR+PNN9/EwIEDERAQIEfYRERE5MGCxMtoY/1J0nZMORYmIUSmiFxnrtMDIgTHjxDBZoQq5xAsdXrKHBm5m0f3yOfn5+Ppp5/G9ddfj86dO0vWWa1WrFu3DrGxsY4kHgD8/f0RHx+Pa9eu4Y8//nBvwEREROQVYi2LoMB/5boW+OMf1V0yRuQ6UR0Ga1A7SRunoaydPDqRf/PNN5Gbm4s33nijxLrTp0+joKAAsbGxJdZ16tQJAHD48OEaj5GIiIi8S7DtEmKsayRtx5UjYBDCS9nD85Qor8neK1MkJCePTeQ3bdqEVatW4fXXX0fdunVLrE9JSQEANGzYsMS6Bg0aAAAuXrxYs0ESERGR14mzLijWG69BgmqSjBFVnDm0m2RZlX1ApkhITh5ZI5+SkoIXX3wRo0aNwqBBg5xuk5ubCwBOa+C1Wi0AQK/XVykOQajS7rWO/fni81Y78fjXbjz+vqXo8azoMfWk14CzWEJtSWhj3SBpO64cA72iPuQOvSLPuzW0i2RZabwEhSkFol/9GoqubPwMkIfHJfKiKGLGjBkIDg7G//73vzK3K2+dUIVXU1iYZ0895ckiIoLlDoFkxONfu/H4+waNpvB7VKv1Q0CAn8v7VWTbmqLXagAUxuIsnu65X0ABm2PZAi1OhTyAAIX8sUM0Ayh8H4WElPNeCu8K7AkELPmOpgicAOq2rskIy8XPAPfyuER+0aJF2LVrFz799FMYjUYYjYXTKZnNhS/urKwsqNVqBAYWJtoGg6HEbdh74kNCKj/y/Nq1fFittvI3JAdBKHwDZ2TkoozfWeSjePxrNx5/32I/663XGwFB7dI+AQF+KCiQfwpEvb5whruCAiM0ftJ4wmyn0cz0s6TtiGo8rhmCAHhC7IUxZGTkwmQqvzMyNLgz1Nf+diwXXPgLBX431lh8ZXH3Z4BSqWCnKzwwkd+6dStEUcT06dOdru/Tpw8aN26M+fPnAwCuXr1aYht7/by9Vr6y+GVUOaLI56424/Gv3Xj8fYP9GLp6PIueAPek4188li7mz4rNGx+EBOUkj4m5os+7OaSLJJFXZh+Q/bHwM8C9PC6RnzFjBnJyckq0v/POOzh58iS++uoraLVatGzZEsHBwUhISCixrX22mi5dupRYR0RERLVPXdsxtLBtkbQlqOJhFEJliqjqLCHSPEedc7Awi2aheq3hcYl8hw4dnLaHhha+0a677jqoVIVhDxkyBN9//z0OHDjgSNoNBgO++eYb1K1bFzfccIN7giYiIiKP1tXyqWTZgFAcUU6UKZrqYQ6JkywrzOlQGC7Apm0qU0Tkbh6XyFfEI488gi1btuC+++7D5MmTER4ejpUrV+L06dOYPXs2/Pw8YOAKERERyaq+7SCa2v6WtB1W3QOzECRTRNXDpm0BmzoMCvM1R5sq5wBMTORrDY+dR94VkZGRWLFiBa6//nosWbIE77//PjQaDRYsWIAhQ4bIHR4RERF5gG6WeZLlAkTgmHKcTNFUI0GApVivvDrnoEzBkBy8pkd+6dKlTtujoqIwZ84c9wZDREREXqGxdSca2aRXPT2kmgKLoJUpouplDukCTcZ/tf+qHF4Yqjbx6h55IiIiotIIohU9LR9K2vJQHyeUI2WKqPpZQrpKllU5BwGR02fXFkzkiYiIyCe1tv2ECPGUpO2A6gFYBd8ZQ1e8tEZhyYGyIFGmaMjdmMgTERGRz1HBiG5m6Uw1mUJrnFLeLlNENcPm3whWjfS6Oaqc/TJFQ+7GRJ6IiIh8ThflKgQhRdK2W/U4REEpU0Q1xxIqnU9elfuPTJGQuzGRJyIiIp9SNxjoqVohabuk6ImLij4yRVSzLMEdJctM5GsPJvJERETkU166E/ATChzLIgTsVj3hs1c8tQR3kiyrchMKr/BKPo+JPBEREfmMMOEiHhgobTujuA0Zihh5AnKD4j3yCnMmFMbLMkVD7sREnoiIiHzGDZqFUBe5So4FGuxVPyRfQG5g828GmypE0qbKTZApGnInJvJERETkE+rbDiJa9bek7YhyIvKFhjJF5CaCAEsQ6+RrIybyRERE5P1EET3N0os/GVAHh1WTZQrIvSzBHSTLqtwjMkVC7sREnoiIiLxeC9tm1Bel5SQHVPfBJISUsodvsRYb8KpkaU2twESeiIiIvJpCNKO7Za6k7ZqtEY4rx8gUkfuVmIJSfxaCJVemaMhdmMgTERGRV2tr/QGh4gVJ23bLVNgEtUwRuZ8lMAaioJK0KfOOyhQNuQsTeSIiIvJaGjEHXSyfS9p2ngZO2W6QKSKZKP1hDYyWNHHmGt/HRJ6IiIi8VqxlMfyRJWl7ejkA+ObFn8pScsArZ67xdUzkiYiIyCsFiCnoYF0maTtl6YMdp2QKSGaWICdXeCWfxkSeiIiIvFJXy3yoYHQs26DENtO9MkYkrxIDXvOOAzaLTNGQOzCRJyIiIq8TajsHnfVHSdsJ5QhcE5vIFJH8iifygs0AZcFpmaIhd2AiT0RERF6nu+VjKGBzLJvhjwOqaTJGJD9REwGrXyNJm4oz1/g0JvJERETkVerZEtDCtkXSdkR5F/RCpEwReQ5LUHvJsjLvmEyRkDswkSciIiLvIYroYf5I0mRAHRxWTZIpIM9iDWonWVYxkfdpTOSJiIjIa0TZ/kJDcb+k7aBqCsxCsEwReRZLUFvJMhN538ZEnoiIiLyCIFrR3TJX0paLhjiuHCNTRJ7HWry0Rp8EWPLkCYZqHBN5IiIi8gqtbL8gQpTOwrJfPR1WwU+miDyPJVAHsVh6p8o/IVM0VNOYyBMREZHHU4gmdDN/KmnLFFrjjGKITBF5KKUW1oCWkiZV3nGZgqGaxkSeiIiIPF5b6yoE44qkba/qUYiCUqaIPFeJ8hpOQemzmMgTERGRR1OKRsRaFkrarghdkKy4XqaIPFvJAa/skfdVTOSJiIjIo8VYVyMQaZK2feqHAUGQKSLPVnwueV4UyncxkSciIiKP5aw3/pKiJ64qusgUkecrPpe8wpQKwZQuUzRUk5jIExERkcdy1ht/QHW/TNF4B6u2BUSFdCYfltf4JibyRERE5JHYG19JChUsgTGSJg549U1M5ImIiMgj6azr2BtfSVYOeK0VmMgTERGRxxFECzpZv5a0XVL0YG+8iyzF6uRVecdkioRqEhN5IiIi8jgtbJsRIl6UtB1STpUpGu9TfMCrMv84IIoyRUM1hYk8EREReRZRRKxlkaQpVWiPy4ruMgXkfYr3yCssOVAYLpayNXkrJvJERETkUZrYdqKueFLSdlg1mfPGV4DNrzFsymBJmzL/ZClbk7diIk9EREQeJdYqnakmS2iG84r+MkXjpQQB1kCdpEnFRN7nMJEnIiIij1HXdgyNbPskbQnKeyAKSpki8l7WwGjJsjL/lEyRUE1hIk9EREQeo4NluWQ5H5E4rbxNpmi8m6VEIs8eeV/DRJ6IiIg8glZMQ0vbr5K2Y6qxsAkamSLybsV75Fla43uYyBMREZFHaGv5AUpYHMsW+OG4cqSMEXm34jXyCnMGBFO6TNFQTWAiT0RERLJTika0s/4gaTujHAKjECZTRN7Pqm0OUeEnaWOvvG9hIk9ERESya2n9FVpck7QdUU6UKRofoVDBGtBa0sQ6ed/CRJ6IiIjkJYroYJUOcr2o6Ilrital7ECu4oBX38ZEnoiIiGRVT/ynxAWgjrI3vlpwLnnfxkSeiIiIZNXWIq2NzxEaI1nRV6ZofAvnkvdtTOSJiIhINhoxBy1tmyRtJ5SjAIEpSnUoUVpjuAjBkitTNFTd+C4hIiIi2bSxrocKRseyFSqcVN4hY0S+xRrQGmKxdI+98r6DiTwRERHJQxTR1rpK0pSkGAiDEC5TQD5I6Q+rtrm0iXXyPoOJPBEREcmigXgQYeJZSdtx5SiZovFdJa/wyh55X8FEnoiIiGQRY1kpWc4SmuGKoptM0fguaxCnoPRVTOSJiIjI7TRiDlrYfpe0FQ5yFWSKyHdxLnnfxUSeiIiI3K6ldVOJQa6nlENljMh3FZ9LXllwFrAZS9mavAkTeSIiInI7nXWdZPm8oh+MQphM0fg2a4A0kRdgg7IgUaZoqDoxkSciIiK3qmM7i/pigqTttPJ2maLxfaI6FFa/RpI2ltf4BibyRERE5FZtrOslywWIwAVFL5miqR1KzFyTx0TeFzCRJyIiIrcRRAvaWDdI2s4ob4MoqGWKqHawFK+TZ4+8T2AiT0RERG7T2LYLgUiTtJ1iWU2N41zyvomJPBEREbmNrlhZTZrQDtcUrWWKpvYonsgrC04BolWmaKi6MJEnIiIit1CL+Whm2yZpY2+8exSfS16wGaHQn5cpGqouTOSJiIjILZrZ/oAKBseyDUqcVQ6WMaLaQ9REwqaqI2lTsU7e6zGRJyIiIrdoZf1ZsnxRcR0MQrhM0dQyggBrUIykSck6ea/HRJ6IiIhqnL+YiSa2XZK2M8ohMkVTOxUvr+HMNd6PiTwRERHVuBbW36DAf4MrLfDHeUV/GSOqfUrOXMNE3tsxkSciIqIa17pYWU2Soh8sQoBM0dROVmdzyYuiTNFQdWAiT0RERDUq2HYJDcTDkrZE5a0yRVN7FS+tUVhyoDBelSkaqg5M5ImIiKhGtbRtlCwbEIqLit4yRVN72fyjICqkZ0FYJ+/dmMgTERFRjWph/U2yfE45CDZBLVM0tZiggMVZeQ15LSbyREREVGOCbRcRKR6XtJ1VcO54uRSvk+eAV+/GRJ6IiIhqTEubtDdejzBcUXSVKRoqPnMN55L3bkzkiYiIqMYUL6tJUg6AKKhkioZKziXPRN6bMZEnIiKiGlFYVnNM0nZWcZNM0RDgZApK01UI5myZoqGq8thEPjk5GU8++SSuv/56dO7cGaNHj8b69etLbHf69GlMnz4dvXr1QlxcHCZNmoT9+/fLEDEREREV5byspptM0RAAWANaQBSUkjZlwWmZoqGq8shE/tKlSxgzZgy2b9+O0aNH45lnnoFGo8HTTz+N+fPnO7ZLTEzEhAkTkJCQgPj4eDz++OO4cuUKJk2ahD179sj4CIiIiIhlNR5I4QerfzNJkzKfiby38sh30+zZs5GVlYXvvvsOsbGxAIBx48Zh1KhRmDdvHsaPH4/Q0FC8/fbbMBqNWL16NaKiogAAw4YNw7Bhw/Dqq6/ip59+kvNhEBER1VrBtkssq/FQ1kAdVPqzjmX2yHsvj+yRVygU6N+/vyOJBwClUonrrrsORqMRiYmJSE9Px/bt2zFw4EBHEg8A4eHhGDVqFM6cOYPDhw87u3kiIiKqYc1tv0uWWVbjOUpOQckBr97KI3vk33//faftx44dg0KhQKNGjRxJetFk365Tp04AgMOHDztdT0RERDWruXWLZPm8sh/LajxEiQGvTOS9lse/o3Jzc5GUlIRvvvkGu3btwl133YUGDRrg998Lf+k3bNiwxD4NGjQAAFy8eLFK9y0IVdq91rE/X3zeaice/9qNx9+3FD2eFT2mggBoxQzUF6Vnxc8r+7v99eFtr8eqPO8VUSKRL0iEIFoAReXTQn4GyMPjE/lnnnkGW7duBVDY+/7QQw8BAPLy8gAAAQEBJfbx9/cHAOj1+krfb1hYYKX3re0iIoLlDoFkxONfu/H4+waNRgQAaLV+CAjwc3k/+7atDH9BgOhoNyMA14JuQIDg+m1Vll6rccRSkdg9gmgGUPg+CgmpwfdSUByw979FQTSjrjYDCG5d5ZvmZ4B7uSWRz83NRXBw5Q7s6NGjMWrUKPzzzz9YvHgx7rjjDixbtgyiKJa7r1CFn4XXruXDarVVev/aSBAK38AZGblw4fCQj+Hxr914/H1Lbm4uAECvNwKC2qV9AgL8UFBgBAA0Mm6SrLug7Is8PQAYqzNMp/R6EwCgoMAIjV/N31910usL483IyIXJVJNd234IV4dDYc50tGRfPABzZP1K36K7PwOUSgU7XVGFRH7gwIEYPHgwZsyYUeZ2zzzzDHbu3Im//vqr0vcDAIMGDULHjh3x0EMP4eOPP3bUwRsMhhL72HviQ0JCKnWfdvwyqhxR5HNXm/H41248/r7BfgxdPZ5F+81Utlw0su2WrD+nGCDL68LbXosVfd6rwhqogyJrl2NZmXcaprq3Vvl2+RngXpWetebSpUvIyMgod7vk5GTk5ORU9m4kBg4ciKCgIBw5cgRNmjQBAFy9erXEdvY2Z/XzREREVHOa2v6CEhbHshVqXFD0lTEicsYSwAGvvsDlHvl7770XZ8+elbT99ttv6NevX6n7FBQUIDc3F61atXI5oPT0dEycOBEdOnTArFmzJOvMZjOMRiO0Wi06duwIhUKBhISEErdhb4uLi3P5fomIiKjqis9Wc0nRA2YhSKZoqDQlpqAsYCLvjVzukb/33ntx9epVxz9BEKDX6yVtxf/l5OQgODi43PKbourWrQtBEPDbb7/hzJkzknULFy6E2WzGoEGDULduXfTu3RubNm3ChQsXHNtkZmZi1apViImJQbt27Vy+XyIiIqoapWhEE9vfkrYkxQCZoqGyWAPbSJZ5dVfv5HKPfN++fbF161bYbDaIoohBgwbhpptuwnPPPed0e0EQ4Ofnh/Dw8AoPOn311VcxdepUxMfHY+LEiQgLC8Pu3buxceNGdOnSBVOmTAEAzJgxA2PHjsX48eNxzz33QKPRYNmyZcjJycFHH31UofskIiKiqmlo2wsNChzLIgQkK/vJFxCVyhogTeQV5gwIpgyImgiZIqLKqNBg16I15w8//DCio6PRuHHjag+qZ8+e+Pbbb/HJJ59g8eLFMBgMiIqKwmOPPYapU6dCoymcWkqn02H58uWYPXs25s2bB4VCgQ4dOuDdd99F586dqz0uIiIiKl1T65+S5RShE/QCE0NPZNU2hyioIfw75SUAKAtOw8JE3qtUetaahx9+uDrjKKF9+/b47LPPyt2ubdu2+OKLL2o0FiIiIiqHKKKpTZrIJytvlCkYKpdCBWtAK6jyTziaVPmnYKlznYxBUUVVaR75vLw8rFu3DqdPn4Zer4fN5nzedUEQ8O6771blroiIiMiD1bGeQpAonUkuWXGDTNGQK6yBOkkiz5lrvE+lE/krV65gwoQJuHr1arkXZ2IiT0RE5Nsam7ZKlnOFRrgmuD5rHblf8Tp5Dnj1PpVO5OfOnYsrV66gWbNmuP3221GvXj2oVG65UCwRERF5mMbmPyTLyYobpFeKIo9jKT5zDaeg9DqVzrz//PNPhIWF4YcffqjyFVSJiIjIe/mLmYiwSK/rcp5lNR6v+FzySn0SYDMCCj95AqIKq/SVXfPy8tC9e3cm8URERLVclHU7BPxXZmuGFlcU3WSMiFxRvLRGEK1QFpyTKRqqjEon8k2bNkVqamp1xkJEREReqKl1u2T5oqIXbIJGpmjIVaI6FFZNA0kbB7x6l0on8qNHj0ZCQgL27dtXnfEQERGRF1GIJjS27ZC0cbYa71HiCq8FHPDqTSpdIz98+HDs3bsX06ZNw9ixYxEbG4vQ0NBSt+/Vq1dl74qIiIg8VEPb/hJXc72gvF7GiKgirIE64Np/Z1RU7JH3KpVO5Hv06AFBECCKIhYvXlzmtoIg4NixY5W9KyIiIvJQxS8ClSp04NVcvUiJHnkm8l6l0ol89+7dqzMOIiIi8jZOruZ6QcmyGm9iCSg2c03BaUAUOXWol6h0Ir906dLqjIOIiIi8TJiYiBDxkqSN0056l+JTUCosOVCYUmDza1DKHuRJKj3YlYiIiGq3pjbpbDV5QgNkCrpStiZPZPNvAlGhlbTxCq/eo9I98hcuXKjQ9lFRUZW9KyIiIvJATa3SsppkxfUsyfA2ggLWgNZQ5f3jaFLmn4I5nAOWvUGlE/mbbroJgotvVg52JSIi8i1+YhbqiYclbcmsj/dKlsA20kS+gANevUWlE/lGjRo5bbfZbMjJyUFBQeFUVN27d0dkZGRl74aIiIg8UJTtbyhgcyxboMUVRQ8ZI6LKKl4nzykovUelE/ktW7aUuf706dN49dVXcfnyZXz00UeVvRsiIiLyQE2t2yTLV9W9YBX8AFGmgKjSiifyrJH3HjU22LVNmzaYN28esrOzMWfOnJq6GyIiInIzQbSgiW2npO2Spp88wVCVWQOkc8krDBcAa0EpW5MnqdFZa0JCQtC9e/dye++JiIjIe9QT/4EfciVtl9Wsj/dWlsDWkmUBIpQFiTJFQxVR49NP6vV65Obmlr8hEREReYUo61+S5QxBB72yvkzRUJUpA2H1l84uyDp571CjifzWrVuxZ88eNG3atCbvhoiIiNwoyva3ZPmiso9MkVB1sQZKy2uUTOS9QqUHu06cOLHUdVarFZmZmY655seMGVPZuyEiIiIPohXTUVc8IWm7oGAi7+0sATpoMv4rhWYi7x0qncjv37+/3G00Gg0mTpyI+Pj4yt4NEREReZAmth2SZRMCkaKIhbaU7ck7lJi5puCMTJFQRVQ6kV+yZEmp6xQKBQICAtCiRQtotXxrExER+Yooq7Ss5pKiJ0RBLVM0VF2Kl9ao8k8Dog0Qanw4JVVBpRP5Hj140QciIqLaRBAtaFxs2kmW1fgGa4C0R16wFUBhuASbNqqUPcgTVDqRL+rChQvYs2cP0tLSoNFoEBERgR49eqBhw4bVcfNERETkASLFI/BHjqTtorKvTNFQdbL5NYBNGQyF9b+ZBpUFp5jIe7gqJfLZ2dl48cUX8dtvvzldP2DAALz++usIDw+vyt0QERGRByheVpMptEa+UB+CTPFQNRIEWAPbQJFzwNGkyj8Fc8RAGYOi8lQ6kTcYDJg0aRJOnDiB4OBg3HDDDWjSpAmsVisuXLiAv//+G7///jsuX76M7777DhqNpjrjJiIiIjcrPu0ky2p8izVQB3WRRF6Zf1rGaMgVlU7kFy9ejBMnTqBfv3744IMPEBQUJFmfl5eHp59+Gtu2bcOyZcswefLkKgdLRERE8vAXMxEpHpO0XWQi71OsAcXmki9gIu/pKj0U+aeffkJYWBhmz55dIokHgKCgIMyePRt16tTB+vXrqxQkERERyavktJMBuKqIkykaqgmW4lNQci55j1fpRD45ORndu3dHQEBAqdsEBASgW7duSEpKquzdEBERkQeIsv4lWb6s6AEbp530KSXmkjdegWDJKWVr8gSVTuRVKhXy8/PL3a6goACCwGEwRERE3koQrWhSYtpJzlbja6wBLSEWSw1ZJ+/ZKp3Ix8TEYN++fbh06VKp21y4cAF79+5FTExMZe+GiIiIZBYpHoU/siVtF5W9ZYqGaozCD1Ztc0kT6+Q9W6UT+XHjxsFoNGLKlCnYt29fifX79u3D1KlTYTabMXr06CoFSURERPJpUqys5prQEnlCI5mioZpU/AqvrJP3bJWetWbYsGH4888/sX79esTHxyM8PByNGhW+qS9duoRr165BFEUMGTIEw4cPr654iYiIyM2iig105bSTvssaqAPSNzqWVSyt8WhVuiDU+++/j06dOmHx4sW4dOkSMjIyHOsaNWqEe+65B/Hx8VUOkoiIiORROO3kUUkbE3nfZQ3gzDXepEqJPADEx8cjPj4eV69eRWpqKkwmE5o0aYIGDRpUR3xEREQko8a2nRAgOpbN0OKqoouMEVFNKjEFZUEiIFoBQSlTRFSWCtfIGwwGfP3111i6dKmkvUGDBujUqRPy8/MxfPhwfPjhhy7NakNERESeK8oqvZpr4bSTvFq7ryo+BaUgmqDQn5cpGipPhRL5tLQ0jBw5Eu+88w42btzodJu9e/ciKysLn3/+OUaMGIErV65US6BERETkbjYn006yrMaXiZoI2NRhkjYVy2s8lsuJvMlkwj333IPExEQ0a9as1JloHnzwQbz11luIiorC+fPnMW3aNFgslmoLmIiIiNyjPk5Ai2uStotM5H1eyTp5Dnj1VC4n8t9++y0SExPRp08frFmzBnfccYfT7QIDAzFixAj88MMP6Ny5M86cOYOVK1dWW8BERETkHs2wW7KcJTRHrqKxTNGQu5Ssk2ePvKdyOZH/9ddf4efnh7feegtarbbc7UNDQ/H+++9DoVDgp59+qlKQRERE5H7NhF2SZZbV1A7F6+RZWuO5XE7kT58+jfbt26N+/fou33hUVBQ6deqEU6f4AiAiIvIm4UFAAxyTtDGRrx2KJ/IsrfFcLifyRqMRkZGRFb6DBg0acPYaIiIiLzO4IyAIRaed9MdVRVcZIyJ3sQa0liwrzOkQTBmlbE1ycjmRr1evHlJSUip8B+np6QgMDKzwfkRERCSfW2Oly1cU3WEV/OQJhtzKqm0OUVBL2pQFZ2SKhsriciLfqlUrnDx5EtnZ2S7feE5ODv755x+0aNGiUsERERGRDEQbbukkbWJZTS2iUMMa0FLSxDp5z+RyIn/HHXdAr9dj3rx5Lt/4Z599BqPRiOuvv75SwREREZH7afKPoF6otI2JfO1Ssk6eibwnUrm64aBBg9C6dWssWbIEWq0W06dPh0bj/MpuJpMJ8+fPx6JFixAeHo4JEyZUW8BERERUswKytkiWs4WmyFVEyRQNyaHEXPIFHPDqiVxO5DUaDebMmYMxY8ZgwYIFWL16NQYNGoROnTqhbt26sFqtyMzMxKFDh/DHH38gNTUVWq0W8+fPR1hYWPl3QERERB4hIGurZJm98bWPJVA64JU98p7J5UQeAFq3bo01a9bgqaeewpEjR7BixQqsWLFCso0oFo5w79GjB15++WW0atWq+qIlIiKiGiWYM+GXd1DSdkHRV6ZoSC4lSmv05wCbCVA4r8YgeVQokQeAZs2aYeXKldi3bx9++eUXnD17FmlpaVCpVIiMjET79u1x0003oX379jURLxEREdUgTcYWCLA5li3wxxVOO1nrWAPaSJYF0QplwTlYg6JlioicqXAib9etWzd069atOmMhIiIimWnSf5MsX1Z0g1XwlykakouorgOrpj6Upv+mHlcWnGIi72FcnrWGiIiIfJxogyZjs6SJZTW1F6/w6vmYyBMREREAQJVzCApTmqSNA11rr+LlNZxL3vMwkSciIiIAgCZDWlZzTYzitJO1mDVQmsgrC5jIexom8kRERASgZH18Eq6TKRLyBBZnpTX/zk5InoGJPBEREUEwZ0KVvU/Sdl5kIl+bFa+RV1iyIZhSZYqGnGEiT0RERCWmnSwwApfQWb6ASHY2/yiICumMRSoOePUoTOSJiIgImvRNkuWtxwAr/GSKhjyCoIA1oNgVXlkn71GYyBMREdV2og2adOm0kz8flikW8igl6+SZyHuSSl8QioiIiHyDKucQFOZ0Sdsvh4Dou+WJp7bLzc2VOwQHlaopJMU12ceQm5tTYjtBAIKC1G6LiwoxkSciIqrlik87afJviXNpZ2WKpvYym4yAoEDnzm3lDsVhXC9gxcP/Laec/gOthjZxum29+vWxf98/8PPjlYDdhYk8ERFRLVd82kl9nf4AmMi7m9VqAUQbXv9kHUJCw+UOBwAQiVMA7nUsN48U8MnSzSXGTxj0+Zgx7WaYzSYm8m7ERJ6IiKgWE0wZUGXvlbQV1BkA4Ct5AiL4awOhDQiSOwwAgEFsCxj/WxYEEQ38MpCpkNbOC4KbAyMAHOxKRERUqxVOO/nfRX5ERQAMIT1ljIg8iUXQIg8NJG11xHMyRUPFMZEnIiKqxUrUx4dfX2LucKrdshTNJcuhYpIscVBJTOSJiIhqKyfTTprq3iRTMOSpsoQWkuU6NvbIewom8kRERLWUs2knTRFM5EkqS2guWQ4Vz8sTCJXARJ6IiKiWKn41V0tAG9gCWpSyNdVW2cUS+TriOUC0yRMMSTCRJyIiqqVK1MezrIacKF4jr4YBgUiVJxiSYCJPRERUCxVOO7lP0sZEnpwpQD2YECBpY528Z2AiT0REVAs5m3bSXKePjBGRxxIEJ+U1SbKEQlIem8ifPHkSjz76KK677jp06NAB/fv3xxtvvIGcnBzJdqdPn8b06dPRq1cvxMXFYdKkSdi/f79MURMREXmHktNO3gAoOe0kOVd85hpOQekZPPLKrmfPnsW4ceOgUqkwYcIENGzYEIcOHcKyZcuwa9cufPfddwgMDERiYiImTJgAPz8/xMfHIzAwEMuWLcOkSZOwcOFC9OjRQ+6HQkRE5Hk47SRVULaiOVBkfCt75D2DRybyb7zxBsxmM1auXIlWrVoBAMaNG4d27drhzTffxDfffIP7778fb7/9NoxGI1avXo2oqCgAwLBhwzBs2DC8+uqr+Omnn+R8GERERB5JlXOw5LSTTOSpDMWnoKxjOytPICThcaU1RqMRe/fuRbdu3RxJvN3w4cMBAHv27EF6ejq2b9+OgQMHOpJ4AAgPD8eoUaNw5swZHD582J2hExEReQVNurSsxhLQBjZtc3mCIa9QvLQmEGlQi7kyRUN2Htcjr1ar8fPPP8NmKzk/aXp6Ye+BUql0JOmxsbEltuvUqRMA4PDhw07XExER1WacdpIqKltoBhtUUMDiaAsTzyJVYJ4lJ49L5BUKhaSHvagvvvgCANCzZ09cvXoVANCwYcMS2zVo0AAAcPHixSrFIghV2r3WsT9ffN5qJx7/2o3H33sIxrQS006a694kOXZFj2dFj6knvQY8KZaK8rTYRUGNbKEpwsT/SmrCxUSkFUvkK/OaocrzuES+NKtXr8bq1avRsGFDjB07FsuWLQMABAQElNjW379w1L1er6/0/YWFBVZ639ouIiJY7hBIRjz+tRuPvxdIXAkUmXYSqiCEtrkVUPo5mjSawvVarR8CAvzgqopsW1P0Wg2Awlg8IZ6K8PTYc62tEWb6L5GPVJ7HBXucohkAEB4ejJAQfg64i1ck8itXrsRLL72EgIAAzJ07F0FBQRBFsdz9hCr8JLx2LR9WKy8/XBGCUPglnpGRCxcOD/kYHv/ajcffewSfW4OiKaIxfCByr5kAmBxtubmFtc96vREQ1C7dbkCAHwoKjNUYaeXo9YWPo6DACI2f/PFUhKfHnm5rjqZFloNMp1AgFMap1xf+n5mZC5Op5rvklUoFO13hBYn83Llz8emnnyIoKAgLFixw1L8HBhYePIPBUGIfe098SEhIle6bX0aVI4p87mozHv/ajcffw9mM0GRskTQZI28pcczsy64ez6L9Zp50/D0ploryxNivCdJJSOrYEp2+djwxdl/lsYm82WzGCy+8gLVr16JevXr44osvEBMT41jfpEkTAHDUyhdVVv08ERFRbaXO3A7Bmu9YFiHAVHewjBGRNymeyAchFWoxF2aBpTRy8bjpJwHAarXiySefxNq1a6HT6fD9999LkngA6NixIxQKBRISEkrsb2+Li4tzS7xERETewC/9F8myJbQ7RE2kTNGQt7HPXFNU0cGv5H4emcjPmTMHmzZtQqdOnbBs2TKnPet169ZF7969sWnTJly4cMHRnpmZiVWrViEmJgbt2rVzZ9hERESeSxShSftV0mSMvFWmYMgb2f6duaaoMFuiTNEQ4IGlNRcuXMDChQshCAJuuukmbN26tcQ2ERER6Nu3L2bMmIGxY8di/PjxuOeee6DRaLBs2TLk5OTgo48+kiF6IiIiz6TMOwal4YKkzVT3FpmiIW91TWgp6YUPE5nIy8njEvnt27fDYim82MCsWbOcbtOlSxf07dsXOp0Oy5cvx+zZszFv3jwoFAp06NAB7777Ljp37uzGqImIiDxb8bIaq39TWIN45poq5prQUrLM0hp5eVwiP2HCBEyYMMHl7du2beu4UBQRERE5p0mTJvKmyFt45R6qsCxFK8D633IdltbIyiNr5ImIiKj6CKaSV3NlfTxVhrOZazRijkzREBN5IiIiH6dJ3wShyNVcbcogmMP6yhgReStnM9fUEc/JFA0xkSciIvJxfsXKaswRAwCFXylbE5WOM9d4FibyREREvsxmhLrE1VxZVkOVV3LAKxN5uTCRJyIi8mHqzO1QWPMcy7yaK1VV8Tp5JvLyYSJPRETkw/zSpReBsoR249VcqUquKYol8iytkQ0TeSIiIl/l5GquJpbVUBVdE1pLlgORBn9kyxRN7cZEnoiIyEcVXs01WdJmrMtEnqomW2gKCzSStgiwV14OTOSJiIh8lF/az5Jlq38Ur+ZKVSYKKmQJLSRtEeAUlHJgIk9EROSjNKkbJMu8mitVl2tCG8kye+TlwUSeiIjIByn0yVDnHpS0GevdLlM05Gsyiw14jcBZmSKp3ZjIExER+SC/1PWSZZs6DOY6fWSKhnxNZokeeSbycmAiT0RE5INKltUMARQqmaIhX3NNIU3kNUIBmtWVKZhajIk8ERGRjxGMqVBn7ZC0sayGqlM+6sGIYElbhyiZgqnFmMgTERH5GL+0nyFAdCyLykCYwvvLGBH5HEEoUV7TkYm82zGRJyIi8jGaYvXxxro3A0p/maIhX1X8Cq9M5N2PiTwREZEPEczZ0GT+IWkz1RsqTzDk09gjLz8m8kRERD5Ek74Rgmh2LIuCBqa6g2WMiHxVZrEBrzENAdhM8gRTSzGRJyIi8iHFp500RfSHqAqRKRryZdcEaWmNWgWoDZyG0p2YyBMREfkKqx6a9N8kTaZ6w2QKhnydSQhBHupL2jQFJ2SKpnZiIk9EROQjNBlbINgKHMsiFDBGDpExIvJ1mYrWkmVNwUmZIqmdmMgTERH5CL/UdZJlc1gfiBpepYdqTpqio2TZptDKFEntxESeiIjIF9jM0KT9ImkysqyGathR5ThkC4XT1ZxPB/IiR8ocUe3CRJ6IiMgHqK/9BYUlS9LGaSepphmFOvhBswbLxCXQPQVY/RrLHVKtwkSeiIjIB5QoqwnpApt/E5miodpEFFTIREuYLHJHUvswkSciIvJ2og2a1J8kTcZ6t8sUDBG5CxN5IiIiL6fK2g2l6aqkjdNOEvk+JvJERERezj9llWTZEtgW1sA2pWxNRL6CiTwREZE3E63QpPwoaTI2GCFTMETkTkzkiYiIvJj62t9QmlIkbcb6TOSJagMm8kRERF7M7+pqybIlqCPLaohqCSbyRERE3spmgV+qtKzGwLIaolqDiTwREZGXUl/7EwpzhqSNZTVEtQcTeSIiIi9VvKzGHBIHW0ALmaIhIndjIk9EROSNbKYSV3M11h8pUzBEJAcm8kRERF5Ik/4bFJYsSZux/nBZYiEieTCRJyIi8kJ+V7+XLJvr9IJN21SmaIhIDkzkiYiIvIxgyYFf2i+SNkODMTJFQ0RyYSJPRETkZTSp6yHYDI5lUVCxrIaoFmIiT0RE5GX8r0jLakwRgyBqImSKhojkwkSeiIjIiyiMV6HO3CZpMzZkWQ1RbcREnoiIyIv4XV0FATbHsk0ZBGPkEBkjIiK5MJEnIiLyIn7Fy2rqDQWUATJFQ0RyYiJPRETkJZS5R6HOPShp42w1RLUXE3kiIiIv4X9luWTZ6tcQ5oj+MkVDRHJjIk9EROQNbGb4X/lO0mRsOA4QlDIFRERyYyJPRETkBTQZm6EwpUraDA0nyBQNEXkCJvJERERewP/yCsmyObQbrEHRMkVDRJ6AiTwREZGHE0wZ0KT9LGkzNJwoUzRE5CmYyBMREXk4v5RVEESTY1lU+MHYYISMERGRJ2AiT0RE5MlEEdqLX0uajJG3QVSHyRQQEXkKldwBEBER+SqDwQCz2VT+hmXwyzsEVd4/krZrYXdCn5tTpdstS25ubo3dNhFVHybyRERENcBgMKBL1w5IT0stf+MyLJgCTBvw33JSGtDqrnjYxCoG6AKLxVLzd0JElcZEnoiIqAaYzSakp6Xi3c83wl8bWKnbUKMA9wh3ANA72q5ETMWHS+6pniBLkZWZipcfGwGbzVqj90NEVcNEnoiIqAb5awOhDQiq1L7Rlo3QWP5L4m1Q4Kx2NLRC5W7PVQZ9fo3ePhFVDw52JSIi8lBtrasky8mKG1Ag1JcpGiLyNEzkiYiIPFC47QQixWOSthNKTjlJRP9hIk9EROSB2lm/lyznoT4uKvrIFA0ReSIm8kRERB7GT8xGG6v0Sq4nVXdCFJQyRUREnoiJPBERkYfRWX+ECgbHsg0qHFeOlDEiIvJETOSJiIg8iCBa0c76naTtrGIQ9EKkTBERkadiIk9ERORBomx/I0S8JGk7qhonUzRE5MmYyBMREXmQ9tYVkuU0oS1ShViZoiEiT8ZEnoiIyEOE2s6hiW2npO2YciwgCDJFRESejIk8ERGRh+hoXSpZNqAOEpW3yBQNEXk6JvJEREQeQCtmoI11g6TtuHIErIK/TBERkadjIk9EROQB2lm+hQomx7IVahxVjZcxIiLydEzkiYiIZKYS9SWu5HpGeRunnCSiMjGRJyIiklm0dS38kS1pS1DGyxQNEXkLJvJEREQyEkQLOli/kbQlK65HlqKVTBERkbdgIk9ERCSj1rZfSlwA6rBqkkzREJE38YpE/vDhw2jXrh127NhRYt3ly5fx7LPPom/fvoiNjcWYMWPw+++/yxAlERFRxQiiFXGWLyRtqUJ7XBW6yhQREXkTj0/kk5KS8NBDD8FqtZZYl5aWhrvuugubN2/GyJEjMWPGDFgsFkyfPh3r16+XIVoiIiLXtbT9ilAxWdJ2UHU/LwBFRC5RyR1AWX777Tc8//zzyM7Odrr+k08+waVLl7B8+XJ07VrYezFixAiMHj0ab775JgYOHIiAgAB3hkxEROSSwt74LyVtaUJbJCuulykiIvI2HtsjP23aNDz88MOIjIzE0KFDS6y3Wq1Yt24dYmNjHUk8APj7+yM+Ph7Xrl3DH3/84caIiYiIXNfC9hvCxHOStoOqaeyNJyKXeWwif/bsWTz55JNYs2YNmjdvXmL96dOnUVBQgNjY2BLrOnXqBKCwtp6IiMjTCKIFXSyfS9oyBB3OK/rJExAReSWPLa35+eefodFoSl2fkpICAGjYsGGJdQ0aNAAAXLx4sWaCIyIiqoI21g0IE89K2g6wNp6IKshjE/mykngAyM3NBQCnNfBarRYAoNfrqxQDP08rxv588XmrnXj8azce/5KKPidFnxelaEA3yzzJthmCDueV/T3y+atoTJ70GDwplory1tiLv96pZnlsIl8eURTLXSdU4ZUUFhZY6X1ru4iIYLlDIBnx+NduPP7/0WgKv4u0Wj8EBPg52tvqlyIQqZJtE4KeQYBG69b4yqLXFnamBQRIYy9PRbatKZWN3RN4c+wQzQCA8PBghITwc8BdvDaRDwwsTLQNBkOJdfae+JCQkErf/rVr+bBabZXevzYShMIv8YyMXJTxO4t8FI9/7cbjX5L9zLFebwQENQDAT8xGO4O0Nv6SoicSzd0Ai9HtMZZGrzcBAAoKjND4uRZXQIAfCgrkfwyVid1TeHfshfFmZubCZKr5LnmlUsFOV3hxIt+kSRMAwNWrV0uss9fP22vlK4tfRpUjinzuajMe/9qNx/8/9ueh6HMSa/4KfsiVbLdH9ShECICHPm+uHM+iJ8A96fh7UiwV5a2x8zPAvTx21prytGzZEsHBwUhISCixzj5bTZcuXdwdFhERkVN1bGfRwbpc0paouBnpivYyRURE3s5rE3mVSoUhQ4bgwIEDOHDggKPdYDDgm2++Qd26dXHDDTfIGCEREdG/RBG9LO9CAYujyQoV9qkekjEoIvJ2XltaAwCPPPIItmzZgvvuuw+TJ09GeHg4Vq5cidOnT2P27Nnw8/OygSJEROSTWtg2o4ltt6QtQXk3chRNZYqIiHyBVyfykZGRWLFiBWbNmoUlS5bAbDYjOjoaCxYswI033ih3eERERFBBj+vMsyRteaiPQ6r7ZIqIiHyFVyTyjzzyCB555BGn66KiojBnzhz3BkREROSinsJCBEE6McMu9VOwCJ4z3SQReSevrZEnIiLydD1bA3H4TtJ2SdET5xQ3yRQREfkSJvJEREQ1QLAZsGgaoBD+uyaJFWrsUM3gpS+JqFp4RWkNERGRtwm7OBt1Gkvb9qseQJaipTwBEZHPYY88ERFRNVNl7Ubo5fmStjShHRKUk2SKiIh8ERN5IiKiaiSYMhDyz2QIKFpSo8I29WsQBZ4IJ6Lqw0SeiIiouogigo8+CKXhoqT5gOp+XFO0likoIvJVTOSJiIiqifb8J/BL/1XSdlGMw2HlvTJFRES+jIk8ERFRNVBn/IHAMy9L2lKzgY3iyxAFpUxREZEvYyJPRERURcr8UwhJiIcgWhxtIgTc9RmQj7oyRkZEvoyJPBERURUIpgyEHhwFhSVb0p7V+BH89o9MQRFRrcBEnoiIqLIseQg9NBZKfZKk2Vjvdlxr8rQ8MRFRrcFEnoiIqDKs+Qg9OBrq7D2SZnNIHHI6fA4I/IoloprFTxkiIqKKsuoRemgcNFl/S5v9GiOn83eAMkCmwIioNmEiT0REVAGC+RpCD46EJnObpN2mjkB2l9Ww+TWQKTIiqm14iTkiIiIXKfTJCD04Eqr8k5J2mzoMWV3XwRrUVqbIiKg2YiJPRETkAlXWHoQcngilKUXSblPVQXaXH2EN7ihTZERUW7G0hoiIqCyiCO35T1Bn3y0lknirpj6yu66HJaSzPLERUa3GHnkiIvJoBoMBZrNJlvtWmlJQ99xzCLz2W4l1Jm0bXI1ZCovQBMjNKbE+NzfXHSESUS3GRJ6IiDyWwWBAl64dkJ6W6tb7FQRgSj/g/fFAYGDJ9VuPASM+PI2sguvKvS2LxVLuNkRElcFEnoiIPJbZbEJ6Wire/Xwj/LVOMuoa0BAJ6CN8hkZCycuyiqKAvYjHkZh78eqCsr9CszJT8fJjI2CzWWsqVCKq5ZjIExGRx/PXBkIbEFSj9xFhO46ulvloZtvmdL0eYfhD8yYuKnvD34XbM+jzqzdAIqJimMgTEVHtJdoQZfsbnaxL0Mi2t9TNTiuGYJf6aRiEcDcGR0RUNibyRERU6wTZLkFnWw+d5UcE40qp2+UIjfG36nlcVPZ2Y3RERK5hIk9ERLVCsO0imtu2oIX1N9QXS9a/F6VHGA6qpuG4ciRsgsZNERIRVQwTeSIi8kkaMQeNbPvQ2LYTjW27ECpeKHefAkTgqGocjionwCy4Z3AtEVFlMZEnIiKfIIhm1BOPoLF1J5rYdiFSPAIFbC7tmyG0wRHlRCQqb4VV8KvhSImIqgcTeSIi8k6iiFAx2dHj3si2Fxq4PlOMASFIVN6CU8rhSBfaFk4eT0TkRZjIExGR19CIOWhs24Umtp1obN1V5kBVZ/QIw3llP5xTDMJlRQ/YBHUNRUpEVPOYyBMRkecSRcQ0AuKwHK1Me9DAdggKuH6lVAs0uKqIwyXFdbik6IUMQQcIihoMmIjIfZjIExGRZxFFqHL2w+/qKtRJ2YDj7wPAPLhY7o4MQYeLiutwSXEdriq6wCq4cvkmIiLvw0SeiIjkJ4pQ5h2B/9XV8EtZBaU+yeVd8xGJS4rrcFF5HS4rroNeiKi5OImIPAgTeSIiko1gTIH/5WXwv7IcqvxTLu1jgQZXFN1wUdEblxTX4ZrQigNViahWYiJPRETuJVqhztgC7aXF0KT9AkEsv+Y9T6yLC6obkay4HpcVPWERtG4IlIjIszGRJyIitxCMqdBeWgT/S0ugNJR/cSaLtiVyw4dhwKSPMPmNNdCqg90QJRGR92AiT0RENUqZdwza85/C/+r3EGzGMre1+kfBWH8EjA1GwhIci9y8XBw6/xEAls4QERXHRJ6IiKqfKEKd8TsCkj+BJmNL2ZsqtDA2GAF9o7thqdOT00MSEbmIiTwREVUf0Qq/q2sQcO4DqPKOlbmpOTgWhsaTYGwwGqI61E0BEhH5DibyRERUdTYLcPZr1El4A6qCM6VuJgoaGBqOgSHqPlhC4twYIBGR72EiT0RElWczwf/ycgQkzQb0SaV+qdjUEdBHTYW+yX0Q/eq5NUQiIl/FRJ6IiCpOtMLvyncITHwbSsP5UjezBOqgb/owDA3HAkpOGUlEVJ2YyBMRketEEZq0DQg88zpU+SdK3cwcHIuCFs/AVG8oB68SEdUQJvJEROQSdcZWBJ55FeqcA6VuYw7thoIWz8JU92ZebZWIqIYxkSciqgUMBgPMZlOl9vXLPYDwC+9Cm/N36bcf3B3Wdv9DqtANIgQgL7eyoUrk5lbP7RAR+SIm8kREPs5gMKBL1w5IT0ut0H66hsA7Y4E7u5e+zaHzwP++A345vBfAnVULtAwWi6XGbpuIyFsxkSci8nFmswnpaal49/ON8NcGlru9P7LRQ1iEjlgDpWB1uk2W2AQ7xak4HTUAtzytwK0CoNX6Qa83QhSrL/aszFS8/NgI2GzO4yAiqs2YyBMR1RL+2kBoA4JKXa8QzWhn/Q5xls/hjxyn2+ShHg6o7scp5e0QBTXs89AIAhAQ4AcI6mpN5A36/Oq7MSIiH8NEnoiothNFNLNtRU/LhwgVLzjdxIA6OKSagmPK0bAK/m4OkIiInGEiT0RUi0XYjuM6yyw0su1zut4CDY4o78Ih1WSYhWA3R0dERGVhIk9EVAsFiKnoZvkEOut6CHBeC5OouBl7VI8iT9HYzdEREZErmMgTEdUiKlGPjtYliLUsghoGp9ukCB2xS/00UhWxbo6OiIgqgok8EVEtIAhADH5Bb+MXCILzaShz0RB71I/hrIIXcyIi8gZM5ImIfJx/zi7seQ3opnjT6XoTAnBINQVHlBM5kJWIyIswkSci8lGKgkQEnX4Zfqnr0KhlyfU2KHBSORz7VQ9BL0S4P0AiIqoSJvJERD5GMGch4Ox70F5YAEE0O93moqIndqueQqZC5+boiIioujCRJyLyFTYz/C8uRODZt6EwZzrd5JrQArtVT+KCoi/r4ImIvBwTeSIibyeK0KRtQODpl6AqSHS6SXoucCTwCZzRToAoqN0cIBER1QSF3AEQEVHlqbL2oM6+mxF6eKLTJF4U1MhqeD9aPwkkYCSTeCIiH8IeeSIiL6QoOIfAM6/CP2V1qdsY692BvDavIttaF9kFC9wYHRERuQMTeSIiLyKYMhBw7n1oL3xR6kBWc0hX5OvehDmsd2FDbo4bIyQiIndhIk9E5A2s+dAmL0BA0hwoLFnON9E2R37rl2GsP4IDWYmIagEm8kREnsxqgPbSQgScmwWFKc3pJjZVHRS0fBb6qPsAhZ+bAyQiIrkwkSci8kQ2M/wvf4OAs+9BabzkdBNR0EAfNQ0FLZ+GqA53c4BERCQ3JvJERJ7EaoD/leUISJoDpT6p1M0M9Uciv83LsGmbuy00IiLyLEzkiYg8gGDJhf/FhdCe/wRKU0qp2xnrDkZBqxdgCensvuCIiMgjMZEnIpKRYEqDNnk+tBe+KHUQKwCYwm5AfusXYanT033BERGRR2MiT0TkbqIIVfYeaC98Ab+UtRBEU6mbmkO7I7/VizBH9HNffERE5BWYyBMRuYs1H/5XfoD/xS+hzk0oc1NTeD8UNH8S5vAbOZUkERE5xUSeiKgmiVaoM/+E39WV8Ev9EQpL2RdnMtYbhoLmT8AS2s1NARIRkbdiIu8BDAYDzObST617MrVaA39/f7nDqHU88TUjCIBGIyI3NxeiWPp2teI182/pjN/VlfBPWQOFKbXszRV+MDYYhYJmj8MaFO2mIImIyNsxkZeZwWBAl64dkJ5W9he9p6obWQ8H9h/x/cTMg/A145kEUwY0mX9AnbEFmozfoTReLncfq7Y59E2mwNDoLoiaCDdESUREvoSJvIzU6b8h+PRbOPRSKoLq1IdNUMMGFWxQwQo1zAiAEYEwIei//8Vg5CMcBQhHPuqiAOEwIRCA+2toDfp8zJh2M8xmk88lZZ7MbDYhPS0V736+Ef7awGq8ZRF+yEUgMhCATAQgA1pkww958BNy4Yfcwr+RCxWMUML87z8TlDBDASsgKGATFRAhwAYlRChghQZmaGGCFkarBrt27UToyaegDKwPUR0Om6YubOq6EDURsKnrwqapCyi11fi4aobCcAWq3ENQZ+2BOnMLVDmHIKCMUxH/EiHAVHcwDFH3wRQxCBAUboiWiIh8kU8k8teuXcMnn3yCLVu2ICMjA82bN8fdd9+NUaNGyR1a6Sx5CEm4BwprLhqHA0Dp80ZLOMnXLfBHgRABPSJQIEQiX6iHfKE+8oQGjv8LEAlR8InDTf/y1wZCGxDk2saiCA1yESReQZB49d////s7UEyFFulQwlL1wMr6TakC2vQFkLq07HAVAYUJviby33/1YPOrB1FTt/BvTT1Hu6gOq7lkWBQhmDOhNCRDoU+GKvcfqHIPQZVzuMy53p0xB3eGscEoGBuMgM2/Sc3ES0REtYrXZ3YFBQW49957cfr0aUyYMAEtW7bEL7/8gueffx7p6el44IEH5A7RKcGmh8KaWy23pYIBIeIlhOASSusQtEGBAtRFvtDg3wS/AfKE+pL/9Qhn76CXUohmBIqpCMTVIon6VQQWSdY1KJA7TJcJtgIoDclQGpLL3VYUlP/26NeDzS+y8G9VMERlEERlIERVUOHfCjUKf2UIkllgBGsBBEsuBEs2BEsuFJZcCOZ0KPUXoDQkQ7DmV/pxWALa/Ju8j4I1sE2lb4eIiMgZr0/kv/nmGxw7dgwffPABhg0bBgAYM2YMpk6dik8++QR33HEHGjZsKHOUJYmaSOibTIX24pduuT8FbAhCKoLEVNQXnU97Z4W6sAcf0gS/6N9GhHAqPHezmaEwpUFhvAqF8RJCss7g/QnArcKLCDFmIEi8ggCku1TW4YsE0VrYO25KAfLkjUVUBMAU3hfmiAEwhQ+ANTCa7xciIqoxXp/Ir127FpGRkRg6dKijTaFQYMqUKfj777+xfv16TJs2TcYIS5fXdjbSIu7GfeNvwEPPvgutnwoKWKCABUrRBDXyoUEeNGIeNMiDWsyDP7KgFTMQIKbBr5qzFiXMCBEvIgQXS+3ZN0NbWKoj1EOeEISPJwFhF2ZBFdSwcLCeOQpKvT9sqgiIqhCIqiBAUFZrnF5NtBb2/JqzobBkQTBnQ7BkQWHOhmDOgMKUCoUxpTBxN6VCYUqBwnytxM08fRsAbC31OFWVAaHQCxHQIwwmIQRGIQQmBP/7fxAs8IdV8IMValihgQ0a2AQV/P2UMBmNEEQrBNggwAolTFCLBVCjADBlYduGL/HgfXfDD3lQmNKhMGdAsP8vVkNpjxvZlMGwBHeCpU5PmCIGwFynJ6DwkzssIiKqJbw6kc/NzcXZs2cxYMAACMV6vWJjYwEACQllX3RFbhZtS2z6B7gNfaBVuljv/C+laECAmAEt0hEgpkMrpiNQTEOgmIJApPxbWpECFYzVFq8aeoSJ5xAmngMEIHowgEsfSrYJK7aPqNA6yhts9pIHVWHZAxQaiIJf4f8KP0DhB7HY3xD8CssiBOW/PwoUEAUFAMW/pUCKf3s9FRAFZZG2f/+H+N8/UQRgK/K3WNiTLf7bBvy3jWiFYDMBorkwwbSZJX8Lohmwmf5dNkKw6iHYCgpLNawFgLXg37b8f8s3csqdQ7ymiRBQgLrIExoi798yqzyhEfKF+igQ6qJAiIQe4bAJmgrftiAAARo/FFiMpU4/qTflYeZ3X2LMW28hODikWHBi4Y8aU8a/P2rSivygSYNgSoPCmAqF+d//LVkVfwIqSYQCNv/GsAa0hCU4tvBfSGdYA1qxHI2IiGTj1Yl8SkoKRFF0WjoTFBSEwMBAXLx4UYbI3MMq+CNXaIxcNC59I1GEP64hUPwvsS/8/yqCxBQEilcRiNTCGUdqiGDTQzDpAaSBffM1q/CMSUPHIOfChL0h8tDg3/Z6lUrS3UIQIKrDYFWHAWhd/vY2U2GPvim1MMn/N+FXmDMhWPIgWPMhWPP+/TsPsFlQ9Eed8O+vDVEZAFEVDJsq5N/a+mCI6lBY/ZvA5t8UVm1T2PwaAQp1DT54IiKiivPqRD43t3CwaEBAgNP1Wq0Wer2+UretVLqnl83PT424uDiEBijg519TNc5hMCEMmYhBppO1AmzwRza0yEQgMqFFJgJwrcg0hNegFbJqKDZylQglrOpwmJV18cfu42jS7iYYVfVQgIh/pyONgBkBKGvamMB/b6mm+KltUPiVfvsaKBAXFwer1QSTqXLvTQlFGP7f3n1HRXH1bwB/QKTLi6KorxBbnLVgwYYSRMWSKK6iYoGIoIjxoBJ/GMUWO7YT0YiaGBM7MUbElmDH115QFGOUCCp2RIyCUizs/f3h2Y3rUoVls/J8zvGccO/dnWd3Ziffnb0zA9PKgKmWb6L0+jWA1xBCP6e85+a+LIP9TOHr/30ISyM4OjrC2sIIllrMrg3lLbs21v/7KG/v+7+Fcv9uYlIRRkbar6HKqk77tzMQoqB7MP67xcXFwcvLCyNHjsT48eM1+p2dnWFlZYW9e/fqIB0RERERkfbo9dcZC4s3xxfzO+qenZ0NKyurPPuIiIiIiPSZXhfytWrVgoGBAR4+1Lwxy7Nnz5CVlYUaNWroIBkRERERkXbpdSFvaWmJ+vXr448//tDoi4+PBwC0bNmyrGMREREREWmdXhfyANC7d288ePAAv/32m6pNoVBgzZo1MDY2hru7uw7TERERERFph16f7AoAOTk56N+/P27dugUfHx/UrVsX0dHROHXqFCZOnAh/f39dRyQiIiIiKnV6X8gDwN9//42wsDDExMQgMzMTdevWhZ+fHzw8PHQdjYiIiIhIKz6IQp6IiIiIqLzR+znyRERERETlEQt5IiIiIiI9xEKeiIiIiEgPsZAnIiIiItJDLOSpVEyePBkymSzPf1FRUbqOR6UsPj4ejRs3xsmTJzX67t+/j4kTJ8LFxQXNmzfHwIEDcejQIR2kJG0qaBvw8fHJd39w5swZHaSl0vDXX38hKCgI7dq1g4ODAzp37oy5c+ciIyNDbVxiYiICAwPRvn17ODo6wtfXF+fPn9dRaiotRV3/bm5u+X7+7969q6P0Hy4jXQegD0NCQgLs7e0xduxYjT7eXffDkpycjNGjRyM3N1ej79GjRxgyZAiePn0KHx8fVK9eHZGRkQgMDMQ333wDuVyug8RU2graBoA3/8Nv3rw5Pv/8c42++vXrazseacGNGzcwePBgGBkZwdvbGzVr1sTFixcRERGB06dPY8uWLbCwsMD169fh7e0NExMT+Pj4wMLCAhEREfD19cWaNWvQtm1bXb8Ueg9FXf/Pnj3DvXv30KlTJ/Ts2VPjeapUqaKD9B84QVRCr169Eg4ODiI4OFjXUUjL9u/fL9q0aSMkSRKSJIkTJ06o9U+fPl1IkiTOnTunasvOzha9evUSTk5OIjMzs6wjUykrbBu4f/++kCRJhIWF6SghacOwYcNEkyZNRFJSklr7+vXrhSRJ4vvvvxdCCOHv7y+aNm0qbt++rRrz+PFj4ezsLHr27Fmmman0FHX9x8bGCkmSxJYtW3QRs1zi1BoqsZs3b+Lly5eQJEnXUUiLRo4ciTFjxqBatWro1auXRn9ubi527dqF5s2bo1WrVqp2U1NT+Pj44MmTJ/jf//5XhomptBW2DQBvjsYDQIMGDcoyGmnRixcvEBsbi9atW2v8oqK88eLZs2eRlpaGY8eOoUuXLrC3t1eNqVKlCjw9PZGUlIT4+PiyjE6loKjrH+DnXxdYyFOJJSQkAPjng5udnZ3vT+6kv27cuIHg4GBs374dderU0ehPTExEVlYWmjdvrtHXrFkzAOD/xPVcYdsAoLk/yMrKgkKhKKuIpAUVK1ZEdHQ0Zs2apdGXlpYGAKhQoYLq8819wIelqOsf0Pz8Z2ZmQvC+o1rFOfJUYsoP7pEjRzBnzhzcv38fFStWhKurKyZNmoSPPvpIxwmpNERHR8PY2Djf/ocPHwIAatasqdFXo0YNAOCJTnqusG0A+Gd/EBkZiejoaKSlpcHc3BzdunVDSEgIbGxsyiIqlSJDQ0O1I+xvW716NQDAyckJKSkpALgP+NAUdf0Dbz7/lSpVwqJFi7Bnzx5kZGTAysoKffr0QXBwMMzNzcssd3nBQp5KTPlT2sWLFxEYGAhra2vExcVh48aNiIuLw9atW/PdCZD+KKyAe/bsGQDkuaM2MzMD8ObXGtJfhW0DwD/7g4SEBEycOBEmJiY4ceIEtm7digsXLmDr1q2wtrbWclIqC1FRUYiKikLNmjUxaNAgREREAMh7H2BqagqA+4APybvrX6FQIDExEdnZ2UhLS8Ps2bORm5uLAwcOYOPGjfjjjz+wcePGIu1HqOhYyFOJ9erVC82aNcOoUaNUH9Bu3brB0dERY8eOxeLFi7F06VLdhiStK+jnU2WfgYFBWcUhHfH29kZ2djYCAgJU6/uzzz5DvXr1sGDBAqxevRoTJkzQcUoqqcjISEyfPh3m5uZYtmwZLC0tizSFgvuAD0Ne6z8nJwdjxoyBhYUFvLy8VGN79eqFuXPnYuPGjYiMjIS3t7cOk394OEeeSszDwwNBQUEa37K7d++OmjVr4vjx4zpKRmXJwsICAJCTk6PRpzwKZ2VlVaaZqOz5+Phg5MiRGgXb559/jgoVKnB/8AFYtmwZpk6dCjMzM6xevVo1/537gPIhv/VvamqKESNGqBXxSr6+vgDAz78W8Ig8aZWNjQ1SU1N1HYPKgJ2dHQCo5sm+TTl/XjlPlsofY2NjWFlZITMzU9dR6D29evUK06ZNw44dO2Bra4vVq1ejYcOGqv6C9gEFzZ8n/VDY+i+I8twYfv5LH4/IU4mkpaVBLpcjKChIo+/Vq1e4desW58eXE/Xq1UOlSpVw6dIljT7llSp4c7AP29WrV+Hu7o558+Zp9D1+/BhPnjxB7dq1dZCMSio3NxfBwcHYsWMHJEnCr7/+qlHENW3aFIaGhnnuA5Rtjo6OZZKXSldR1v+RI0fw2WefYc2aNRqPT0pKAgB+/rWAhTyViI2NDV6+fImYmBhcvXpVrW/VqlV49uwZ+vfvr6N0VJaMjIzQs2dPxMXFIS4uTtWek5ODTZs2oWrVqnB1ddVhQtK2OnXq4OHDh9i+fbvaUVkhBBYvXgwA6Nevn67iUQksXboU+/fvR7NmzRAREZHnkfWqVavC2dkZ+/fvx507d1Ttf//9N7Zt24aGDRuicePGZRmbSklR1v/HH3+M27dvIyIiAs+fP1e1v379Gt9++y0AoG/fvmWWubzg1BoqEQMDA8ycORMBAQEYOnQovL29YWtri9OnT2P//v1wcnKCn5+frmNSGRk7dixiYmIQEBCAYcOGoUqVKoiMjERiYiLCwsJgYmKi64ikRWZmZpg2bRomTZqEgQMHwsvLC5aWljh48CBOnz4NuVwOd3d3XcekYrpz5w7WrFkDAwMDdOvWDYcPH9YYY2NjAxcXF4SEhGDQoEHw8vKCn58fjI2NERERgYyMDFUxR/qlOOt/9OjRWLZsGTw9PTFw4EAYGBhg9+7d+PPPPzFq1Cj+IqMFLOSpxNq3b4/NmzdjxYoV+Pnnn5GdnQ17e3uMGzcO/v7+vNRUOVKtWjVs3rwZixcvxoYNG/Dq1SvIZDKsWrUKHTt21HU8KgMeHh6wtbXFqlWr8MMPPyA3Nxf16tXD9OnT8zwJjv79jh07htevXwOA6peVd7Vs2RIuLi6QJAk///wzwsLCsHLlShgaGsLBwQELFy5EixYtyjA1lZbirP/Ro0ejbt26WL9+Pb799lsYGhpCkiSEhYXxS7yWGAjecouIiIiISO9wjjwRERERkR5iIU9EREREpIdYyBMRERER6SEW8kREREREeoiFPBERERGRHmIhT0RERESkh1jIExERERHpIRbyRESkdeX5liXl+bUTkXaxkCeiYjtz5gxkMhkaNmyI2NjYAsf6+PhAJpPh5MmTZZSuYOHh4ZDJZFiyZImuo5SK06dPw9PTE82bN0erVq2waNGifMfevXsXMpkMMpkMO3bsKPB5J02aBJlMhq1bt5YoX0ZGBubOnVvo8pSU21ZR/505c6ZE+bTpxYsXWL58OVatWqXrKET0gTLSdQAi0l9CCEyZMgW7du2CmZmZruOUO8+ePUNgYCAyMzPh4OAAOzs7ODg4FOmx8+bNwyeffIJq1appNeP8+fMRFRWFuXPnFutx5ubm6NKlS6Hjqlat+r7RtG716tUIDw/HqFGjdB2FiD5QLOSJqERu376NxYsXY9q0abqOUu4kJSUhMzMTdnZ2iIyMhIGBQZEfm56ejhkzZmDlypVaTPj+00oqV66Mb775ppTTlC1OqSEibePUGiJ6b9WqVYORkREiIiJw7tw5Xccpd16+fAkAsLW1LVYRb2FhAUtLSxw6dAi7du3SVjwiItIyFvJE9N7s7e0xYsQIKBQKTJkyBTk5OUV6XEHz1JXzuF1dXdXaZTIZ+vXrh/T0dMydOxcdOnRAs2bN0Lt3b/z2228AgAcPHmD8+PFwcnJC27ZtMWzYMCQkJOSbY9++fejbty+aNm2KDh06YMaMGXj48GGeY1NTUzFnzhy4ubnBwcEBzs7O+L//+z9cu3ZNY6zyvIBr165h6NChaNq0KVxcXBAdHV3oe5OUlISJEyeiQ4cOcHBwgIuLCyZMmICkpCSN92Po0KEAgLi4OMhkMri5uRX6/ABgaWmJkJAQAEBoaCjS0tKK9DilCxcuYMyYMWjfvj0cHBzQuXNnzJgxAw8ePNDIuH37dgDAtGnTIJPJEBUVVaxlFdW4ceMKnNO/bt06yGQyLFiwQK395MmTCAgIgJOTE5o2bYoePXogPDwcWVlZauOU22VgYCBSU1MxefJkuLi4oGnTpnB3d8eaNWuQm5urGu/m5obly5cDAL7//nvIZDKEh4er+o8cOQJ/f3/Veu7UqRNCQkJw/fr10npLiKgcYCFPRCUyevRoNGjQALdu3UJYWJhWl5WZmYlBgwYhKioKDg4OaNSoEf766y+MHz8eGzduxIABAxAbG4tWrVqhcuXKOHnyJLy9vfMszvft24egoCDk5OSgc+fOMDExwS+//IL+/fvjzp07amMTEhLg4eGBTZs2wcjICJ06dUKtWrUQHR0NT09PHDlyJM+8Y8eOxY0bN9CxY0cYGRkVOn89JiYG/fr1w86dO1G5cmV06dIFVapUwa5du9C/f38cPnxYNVYul8PZ2RkAUKVKFcjlcnTt2rXI7+XAgQPh7OyMp0+fYubMmUV+3ObNm+Ht7Y0DBw7A3t4ebm5uqFixIn755Rd4eHjg0qVLahnt7e0BAC1atIBcLsdHH31U5GUVR58+fQAAv//+e579u3fvVhsHAD/88AOGDRuGU6dOoW7duujUqROeP3+O5cuXw9vbG+np6RrP8+jRI3h6euLgwYNo1KgRHB0dcePGDSxcuBDz5s1TjevatSskSQIASJIEuVwOmUwGANixYwe++OILnDlzBvXr14ebmxvMzMywY8cOeHp65vnlkIgoT4KIqJhOnz4tJEkSgwcPFkIIER8fLxo1aiQaNmwozp07pzZ2yJAhQpIkceLECVXbsmXLhCRJIiwsTOO579y5IyRJEh06dFBrlyRJSJIkevbsKdLS0lTtc+bMUfV98cUXIjs7WwghxKtXr4SXl5eQJEn8+OOPGsuWJEksXLhQKBQK1fgpU6YISZLE8OHDVeNfvnwpunXrJiRJEmvXrlWNF0KIQ4cOiSZNmog2bdqIx48fa7zmjh07iidPngghhMjNzS3wPU1NTRUtWrQQMplMREVFqfVt3bpVyGQy4ejoKFJSUlTt766Hwrz73t69e1c4OjoKSZLE7t271caGhIQISZLEr7/+qmq7evWqaNiwoWjWrJk4evSoqj03N1eEh4cLSZKEq6urah3k9zwFUb6mzp07F2m80qtXr0T79u1Fo0aNxKNHj9T6kpOThSRJolevXqq2U6dOCZlMJlxdXcXVq1dV7S9evBCTJk0SkiSJ8ePHq9qV750kSWLIkCFq6/vQoUNCkiTRuHFjkZ6ermrPbzvv0qWLaNy4sUhMTFS1KRQKMXfuXCFJkggJCSnWayei8otH5ImoxJo1a4bhw4cXe4rN+wgKCoKNjY3q7969e6v+e9KkSTA1NQUAGBkZqaaa3Lp1S+N5ateujeDgYNXcciMjI0yfPh02NjY4fvw4bt++DQA4cOAAbt26hc6dO8PPz09tLrqbmxsGDx6M9PR0REZGaixDLpfD2toaAGBoWPDudsuWLcjKykLfvn3Rt29ftT5PT0/07dsXmZmZ2Lx5c4HPUxy1atXChAkTAABz5szB48ePCxy/fv16KBQKBAQEoEOHDqp2Q0NDjBkzBm3btkVKSorq6HdJ3Lt3r9BLTwYGBqrGGxkZwd3dHbm5udizZ4/acynzvL2t/PjjjxBCYOrUqWjYsKGq3djYGDNmzEDVqlURHR2d5685U6dORZUqVVR/u7m5wc7ODq9fv8bNmzcLfW2PHj2CkZERbG1tVW0GBgYYNWoUvv76a/Tv378I7xAREafWEFEpCQoKQv369ZGcnIylS5dqbTktWrRQ+7ty5coAADMzM9SpU0etz8rKCsA/J4W+rUePHjAyUr9wl4mJiWq6ytmzZwG8uU47ALRr1y7PPMqCNq/rmb9dIBZGeT3+Tz/9NM/+nj17quUqLYMHD0a7du3w9OlTzJo1q0QZ3d3dSy2jubk55HJ5gf/atm2r9pj8ptf8/vvvMDQ0VBXyubm5qpOznZycNJZtamqK1q1bq41TMjMzU02ReZuyKH93bn1eWrdujZycHPTr1w/Lly/HpUuXoFAoYGNjgyFDhqBNmzaFPgcREcDLTxJRKTE2Nsb8+fPh5eWF9evX49NPP4Wjo2OpL+c///mP2t/KI+TKoj2vvrzUqlUrz/aaNWsCgOpIrPIEzvnz52P+/Pn5Pl9KSkqhWQuSmppaYC47OzsAb47mliYDAwOEhoZCLpdj3759iI6OVn1p0GXG97n8pIODAxo0aICLFy/i3r17qFWrFq5cuYIbN26gffv2qF69OgDg6dOnyM7OBgCNLwPvevcE3kqVKuW5XSm/FIoiXHIyNDQUgYGB+PPPPxEeHo7w8HBYW1vD1dUV/fv3z/dLIxHRu1jIE1Gpad68Ofz8/PDTTz9h8uTJ2LlzZ7GfQ6FQFNj/7lH092VsbFxgf8WKFdXyODk5qU2FeNfbUy2UCptO87bCCkBljsJyvw87Ozt89dVXmD17NmbPnp1vIVlYRuVVW7SRsah69+6NxYsXIzo6GgEBAaorGr19kuvbOfP7dUGpdu3aan8X5zKf+alRowa2bduG2NhYxMTE4OTJk7h27Rp27dqFXbt2Yfjw4aqrChERFYSFPBGVqi+//BIxMTG4efNmvlNslMVQXkV7RkaGNuOpKI8uv+vevXsA/jkyr7zzqVwux4ABA7SWx9bWFjdv3sS9e/fQoEEDjX7llXTePj+gNHl7e2Pv3r04e/YsZs6cCXNz8zwz3r17N9+Md+/e1WrGoujduzeWLFmCPXv2YMSIEdizZw/MzMzQvXt31Rhra2tUrFgRr1+/xrx583TyxcPAwABt27ZV/SLw+PFjbNu2DUuWLMHatWvh4+OD//73v2Wei4j0C+fIE1GpMjExwfz582FoaIh169bhxo0bGmMsLCwAIM+TK+Pj47WeEQCOHz+u0ZaZmYnjx4/D0NAQrVu3BgDVfOX8LjG5YcMGyOVyrFixokR5lMvZt29fnv3KEzgLmwryvgwMDDBv3jyYm5tj3759OHHixHtnfHveeWkcwS6OGjVqwMnJCVeuXMGBAwdw//59dOnSRbXNAW+OxLdo0QIKhQLHjh3TeA4hBHx8fDB48GC1y2kWV16vPSkpCXK5HCNGjFBrt7GxwciRIyGTySCEyPd+BkREb2MhT0SlztHREb6+vlAoFHnebEh5EujBgwdVR8ABIDExEd99912ZZDxz5gw2bNig+vvly5eYNm0a0tPT0aNHD9UR+Z49e6JatWo4cOAA1q5dqza95NKlS1i2bBmuXbuW5wmQxTFw4ECYm5tj+/btqpsoKW3btg07d+6Eubm5xhVtSpO9vT2Cg4MB5P2LxZAhQ1ChQgWsXr1a7YuQEALLly9HbGwsqlevrnY9e+XR7mfPnmkt97s8PDwghEBoaCgA9Wk1Sn5+fgDeXK3nypUrqnaFQoGlS5fi7NmzuHv3brFOWH6X8rU/f/5c1VanTh2kpqbi+PHj2Lt3r9r4y5cv4/r16zA3N8fHH3/83sslovKDU2uISCvGjRuHw4cPIzk5WaPPyckJDg4OuHz5MuRyOZycnJCVlYXY2Fi4uLiU6ChoUTk6OiI0NBTbt2+Hvb094uPjkZKSAkmS8PXXX6vGmZmZYdmyZRg5ciQWLFiATZs2QSaT4enTp4iLi4MQAr6+vsW6GVNeqlevjoULFyI4OBiTJk3CunXrULduXdy8eRMJCQkwMzPDokWL8j3RtLQMGTIE+/btU12h5m0ODg6YPHkyQkND4e/vjxYtWqBGjRpISEhAcnIyrK2tsWTJElhaWqoeo7yS0MqVK3HhwgX06dOnSO/VkydP8NVXXxU6rk2bNhg0aJBaW7du3TBr1iykpKSgWrVq+OSTTzQe17VrVwwfPhxr1qzBgAED0KRJE9ja2iIhIQF37txRrfeSTLtRvvatW7ciJSUFnTp1woABAzBnzhwEBQXhyy+/RJMmTWBnZ4cnT57g/PnzyM3NxZQpU1CpUqX3Xi4RlR88Ik9EWmFqaop58+blecKnoaEh1q5dC19fX1hZWeHYsWN48OABxo4dixUrVqBChQpaz+fl5YXQ0FC8ePECMTExMDQ0hL+/PzZv3qy6pKVSy5YtsWPHDgwePBhCCBw9ehS3b9+Gk5MTVqxYgSlTppRKpu7duyMyMhK9evXC48ePcfDgQWRkZMDT0xPbtm1Dt27dSmU5BVFOsTEzM8uz38fHB5s2bYKbmxuSk5MRExMDhUIBX19f7Ny5E61atVIb7+XlBQ8PDwDA0aNHcfny5SLlyMrKwu7duwv9d+HCBY3HWlhYqL4suLu757s9hYSE4LvvvkO7du2QnJyMI0eOwNDQEJ6enti5cydatmxZpKz56dq1K/z8/GBubo6jR4/i/PnzAN6s559++gmurq64f/8+Dh06hKSkJLi6umLdunXw8vIq0XKJqPwwEEW5VhYREREREf2r8Ig8EREREZEeYiFPRERERKSHWMgTEREREekhFvJERERERHqIhTwRERERkR5iIU9EREREpIdYyBMRERER6SEW8kREREREeoiFPBERERGRHmIhT0RERESkh1jIExERERHpIRbyRERERER6iIU8EREREZEe+n9z7De0i+Px2AAAAABJRU5ErkJggg==", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-08-29T23:44:37.929646\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.7.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "subfolders = list_subfolder('study_analysis')\n", + "\n", + "idx = 0\n", + "for idx in range(len(subfolders)):\n", + "\n", + " subfolder_name = subfolders[idx].name\n", + " additional_not_events = get_additional_not_events(subfolder_name)\n", + " csv_concat = concat_csv(subfolders[idx])\n", + "\n", + " # sum events:\n", + " sum_events = csv_concat['events'].sum()\n", + " # sum not events:\n", + " sum_not_events = csv_concat['not_events'].sum() + additional_not_events\n", + "\n", + " print('The number of events is: ', sum_events)\n", + " print('The number of not events is: ', sum_not_events)\n", + " ######## DICT ########\n", + " im_size = literal_eval(subfolder_name.split('_')[2])\n", + " overlap = literal_eval(subfolder_name.split('_')[4])\n", + " window_size = literal_eval(subfolder_name.split('_')[-1])\n", + " # create a dict with all the info:\n", + " info = {'image_size': im_size, 'overlap': overlap, 'window_size': window_size, 'sum_events': sum_events, 'sum_not_events': sum_not_events}\n", + " pd.to_pickle(info, f'study_dicts/{subfolder_name}.pkl')\n", + "\n", + " ######## PLOTTING ########\n", + " # Setting the Seaborn theme and context\n", + " sns.set_theme(style=\"darkgrid\")\n", + " sns.set_context(\"paper\", font_scale=1.5)\n", + "\n", + " # Create the figure and axis objects\n", + " fig, ax = plt.subplots(figsize=(8, 6))\n", + " # Create the histplot\n", + " ax = sns.histplot(data=csv_concat, x=\"events\", bins=12, kde=True, edgecolor='black', line_kws={'linewidth': 3})\n", + " ax.lines[0].set_color('orange')\n", + " # Adding titles and labels\n", + " ax.set_title(f'Distribution of the Events: WinSize={window_size}, Overlap={overlap}', fontsize=18)\n", + " ax.set_xlabel('Number of Events', fontsize=16)\n", + " ax.set_ylabel('Count', fontsize=16)\n", + "\n", + " # Customizing ticks\n", + " ax.tick_params(axis='both', which='major', labelsize=14)\n", + " # Save the figure\n", + " fig.savefig(f'study_imgs/events_{subfolder_name}.png', dpi=400, bbox_inches='tight')\n", + " # Show the plot\n", + " plt.show()\n", + " plt.close()\n", + " ##############################################################################################\n", + " # Create the figure and axis objects\n", + " fig, ax = plt.subplots(figsize=(8, 6))\n", + " # Create the histplot\n", + " ax = sns.histplot(data=csv_concat, x=\"not_events\", bins=12, kde=True, edgecolor='black', line_kws={'linewidth': 3})\n", + " ax.lines[0].set_color('orange')\n", + " # Adding titles and labels\n", + " ax.set_title(f'Distribution of the Not_Events: WinSize={window_size}, Overlap={overlap}', fontsize=18)\n", + " ax.set_xlabel('Number of Not Events', fontsize=16)\n", + " ax.set_ylabel('Count', fontsize=16)\n", + "\n", + " # Customizing ticks\n", + " ax.tick_params(axis='both', which='major', labelsize=14)\n", + " # Save the figure\n", + " fig.savefig(f'study_imgs/notevents_{subfolder_name}.png', dpi=400, bbox_inches='tight')\n", + " # Show the plot\n", + " plt.show()\n", + " plt.close()\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 overlapwindow_sizesum_eventssum_not_eventsProportion
00.250000(128, 128)1090333350.031663
10.250000(256, 256)58169160.077498
20.250000(384, 384)52732980.137778
30.250000(512, 512)54119070.220997
40.330000(128, 128)1211379570.030918
50.330000(256, 256)78390090.079963
60.330000(384, 384)52732980.137778
70.330000(512, 512)54119070.220997
80.500000(128, 128)2158653150.031983
90.500000(256, 256)1220140800.079739
100.500000(384, 384)110263950.146992
110.500000(512, 512)85229730.222745
120.750000(128, 128)83452488480.032446
130.750000(256, 256)4582506510.082958
140.750000(384, 384)3326187060.150962
150.750000(512, 512)218976030.223550
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# collect all pickle files:\n", + "dicts_path = [x for x in Path('study_dicts').iterdir() if x.is_file() and x.suffix == '.pkl']\n", + "info_dicts = [pd.read_pickle(x) for x in dicts_path]\n", + "\n", + "# create a dataframe with all the info:\n", + "info_df = pd.DataFrame(info_dicts)\n", + "\n", + "info_df['Proportion'] = info_df['sum_events'] / (info_df['sum_events'] + info_df['sum_not_events'])\n", + "# order by window size:\n", + "info_df.sort_values(by=['window_size'], inplace=True)\n", + "\n", + "# now order by overlap:\n", + "info_df.sort_values(by=['overlap'], inplace=True)\n", + "\n", + "# reset index:\n", + "info_df.reset_index(drop=True, inplace=True)\n", + "# remove column image_size:\n", + "info_df.drop(columns=['image_size'], inplace=True)\n", + "\n", + "# bold the max value of columns: sum_events, sum_not_events, Proportion:\n", + "info_df.style.highlight_max(subset=['sum_events', 'sum_not_events', 'Proportion'], color='lightgreen', axis=0)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pyraws", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/scripts_and_studies/patch_study/thraws_db.csv b/scripts_and_studies/patch_study/thraws_db.csv new file mode 100644 index 0000000..f8ff5d5 --- /dev/null +++ b/scripts_and_studies/patch_study/thraws_db.csv @@ -0,0 +1,89 @@ +,ID_event,Start,End,Sat,"Coords (Lat, Lon)",class,Raw_useful_granules,Raw_complementary_granules,Polygon_square,Raw_files,l1c_files,bbox_list,bbox_list_merged,Polygon +0,Barren_Island_00,28/09/2018,28/09/2018 23:59,S2A,"(12.28474241, 93.86212046)",eruption,[2],[4],"POLYGON ((93.82076157486179 12.244061101857305, 93.8207488665122 12.325417348895849, 93.9034920534878 12.325417348895849, 93.90347934513821 12.244061101857305, 93.82076157486179 12.244061101857305))","['S2A_OPER_MSI_L0__GR_EPAE_20180929T132957_S20180928T042450_D10_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180929T132957_S20180928T042453_D09_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180929T132957_S20180928T042453_D10_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180929T132957_S20180928T042457_D09_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180929T132957_S20180928T042457_D10_N02.06']",['S2A_MSIL1C_20180928T040541_N0206_R047_T46PEU_20180929T135308'],"{2: [[[403, 290], [427, 284], [435, 316], [410, 322]]]}","{2: [[[403, 290], [427, 284], [435, 316], [410, 322], [403, 290]]]}","POLYGON((93.81618097217948 12.158183811523221, 93.81613704194822 12.411292126632908, 93.90810387805179 12.41129212663291, 93.90805994782052 12.158183811523221, 93.81618097217948 12.158183811523221))" +1,Barren_Island_01,28/10/2018,28/10/2018 23:59,S2A,"(12.28474241, 93.86212046)",eruption,[2],[4],"POLYGON ((93.82076157486179 12.244061101857305, 93.8207488665122 12.325417348895849, 93.9034920534878 12.325417348895849, 93.90347934513821 12.244061101857305, 93.82076157486179 12.244061101857305))","['S2A_OPER_MSI_L0__GR_EPAE_20181028T064658_S20181028T042451_D10_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20181028T064658_S20181028T042455_D09_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20181028T064658_S20181028T042455_D10_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20181028T064658_S20181028T042458_D09_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20181028T064658_S20181028T042458_D10_N02.06']",['S2A_MSIL1C_20181028T040851_N0206_R047_T46PEU_20181028T070450'],"{2: [[[391, 59], [412, 54], [418, 82], [398, 87]]]}","{2: [[[391, 59], [412, 54], [418, 82], [398, 87], [391, 59]]]}","POLYGON((93.81618097217948 12.158183811523221, 93.81613704194822 12.411292126632908, 93.90810387805179 12.41129212663291, 93.90805994782052 12.158183811523221, 93.81618097217948 12.158183811523221))" +2,Barren_Island_02,29/07/2021,29/07/2021 23:59,S2B,"(12.28474241, 93.86212046)",eruption,[2],[4],"POLYGON ((93.82076157486179 12.244061101857305, 93.8207488665122 12.325417348895849, 93.9034920534878 12.325417348895849, 93.90347934513821 12.244061101857305, 93.82076157486179 12.244061101857305))","['S2B_OPER_MSI_L0__GR_VGS4_20210729T062608_S20210729T042456_D10_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210729T062608_S20210729T042459_D09_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210729T062608_S20210729T042459_D10_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210729T062608_S20210729T042503_D09_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210729T062608_S20210729T042503_D10_N03.01']",['S2B_MSIL1C_20210729T040549_N0301_R047_T46PEU_20210729T063323'],"{2: [[[406, 280], [410, 279], [411, 284], [407, 285]]]}","{2: [[[406, 280], [410, 279], [411, 284], [407, 285], [406, 280]]]}","POLYGON((93.81618097217948 12.158183811523221, 93.81613704194822 12.411292126632908, 93.90810387805179 12.41129212663291, 93.90805994782052 12.158183811523221, 93.81618097217948 12.158183811523221))" +3,Barren_Island_10,16/01/2017,16/01/2017 23:59,S2A,"(12.28474241, 93.86212046)",eruption,[1],[3],"POLYGON ((93.82076157486179 12.244061101857305, 93.8207488665122 12.325417348895849, 93.9034920534878 12.325417348895849, 93.90347934513821 12.244061101857305, 93.82076157486179 12.244061101857305))","['S2A_OPER_MSI_L0__GR_MTI__20170116T092952_S20170116T042444_D10_N02.04', 'S2A_OPER_MSI_L0__GR_MTI__20170116T092952_S20170116T042448_D10_N02.04', 'S2A_OPER_MSI_L0__GR_MTI__20170116T092952_S20170116T042452_D09_N02.04', 'S2A_OPER_MSI_L0__GR_MTI__20170116T092952_S20170116T042452_D10_N02.04', 'S2A_OPER_MSI_L0__GR_MTI__20170116T092952_S20170116T042455_D09_N02.04']",['S2A_MSIL1C_20170116T041111_N0204_R047_T46PEU_20170116T041554'],"{1: [[[297, 770], [302, 768], [303, 773], [298, 774]]]}","{1: [[[297, 770], [302, 768], [303, 773], [298, 774], [297, 770]]]}","POLYGON((93.81618097217948 12.158183811523221, 93.81613704194822 12.411292126632908, 93.90810387805179 12.41129212663291, 93.90805994782052 12.158183811523221, 93.81618097217948 12.158183811523221))" +4,Chillan_Nevados_de_01,25/05/2021,25/05/2021 23:59,S2A,"(-36.86703697, -71.37834332)",eruption,[1],[2],"POLYGON ((-71.42883743575479 -36.90757572578428, -71.4287840958646 -36.82647650810975, -71.3279025441354 -36.82647650810974, -71.32784920424521 -36.90757572578428, -71.42883743575479 -36.90757572578428))","['S2A_OPER_MSI_L0__GR_VGS1_20210525T174739_S20210525T144309_D01_N03.00', 'S2A_OPER_MSI_L0__GR_VGS1_20210525T174739_S20210525T144313_D01_N03.00', 'S2A_OPER_MSI_L0__GR_VGS1_20210525T174739_S20210525T144316_D01_N03.00']",['S2A_MSIL1C_20210525T142731_N0300_R053_T19HBV_20210525T175151'],"{1: [[[204, 1077], [224, 1073], [231, 1099], [211, 1103]]]}","{1: [[[204, 1077], [224, 1073], [231, 1099], [211, 1103], [204, 1077]]]}","POLYGON((-71.4345106682654 -36.99317673181827, -71.43432628250127 -36.74086806869344, -71.32236035749872 -36.74086806869344, -71.3221759717346 -36.99317673181827, -71.4345106682654 -36.99317673181827))" +5,Chillan_Nevados_de_02,29/07/2021,29/07/2021 23:59,S2B,"(-36.86621296, -71.37834332)",eruption,[1],[2],"POLYGON ((-71.42883689272017 -36.90675172173991, -71.42878355499849 -36.82565249279449, -71.32790308500151 -36.82565249279449, -71.32784974727983 -36.90675172173991, -71.42883689272017 -36.90675172173991))","['S2B_OPER_MSI_L0__GR_VGS2_20210729T174445_S20210729T144310_D01_N03.01', 'S2B_OPER_MSI_L0__GR_VGS2_20210729T174445_S20210729T144314_D01_N03.01', 'S2B_OPER_MSI_L0__GR_VGS2_20210729T174445_S20210729T144317_D01_N03.01']",['S2B_MSIL1C_20210729T142729_N0301_R053_T19HBV_20210729T175045'],"{1: [[[218, 1088], [226, 1086], [230, 1101], [222, 1103]], [[215, 1110], [228, 1107], [237, 1139], [224, 1142]]]}","{1: [[[[218, 1088], [226, 1086], [230, 1101], [222, 1103], [218, 1088]], [[215, 1110], [228, 1107], [237, 1139], [224, 1142], [215, 1110]]]]}","POLYGON((-71.43451006233992 -36.99235273975587, -71.4343256840719 -36.740044041565646, -71.3223609559281 -36.740044041565646, -71.32217657766007 -36.99235273975587, -71.43451006233992 -36.99235273975587))" +6,Copahue_20,13/10/2019,13/10/2019 23:59,S2A,"(-37.8559729, -71.16034011)",eruption,"[1, 5]","[3, 4]","POLYGON ((-71.21150219511838 -37.896504470656076, -71.21144618467139 -37.81541884487707, -71.10923403532863 -37.81541884487707, -71.10917802488163 -37.896504470656076, -71.21150219511838 -37.896504470656076))","['S2A_OPER_MSI_L0__GR_SGS__20191013T173552_S20191013T144323_D02_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20191013T173552_S20191013T144326_D02_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20191013T173552_S20191013T144326_D03_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20191013T173552_S20191013T144330_D02_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20191013T173552_S20191013T144330_D03_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20191013T173552_S20191013T144334_D03_N02.08']","['S2A_MSIL1C_20191013T142731_N0208_R053_T19HCT_20191013T174904', 'S2A_MSIL1C_20191013T142731_N0208_R053_T19HCU_20191013T174904', 'S2A_MSIL1C_20191013T142731_N0208_R053_T19HBU_20191013T174904', 'S2A_MSIL1C_20191013T142731_N0208_R053_T19HBT_20191013T174904']","{1: [[[1273, 332], [1277, 331], [1279, 337], [1275, 338]]], 5: [[[38, 8], [42, 7], [44, 14], [40, 14]]]}","{1: [[[1151, 332], [1151, 331], [1151, 337], [1151, 338], [1151, 332]]], 5: [[[38, 8], [42, 7], [44, 14], [40, 14], [38, 8]]]}","POLYGON((-71.21725279156138 -37.9820910273258, -71.21705917416107 -37.729824650578735, -71.10362104583895 -37.72982465057874, -71.10342742843864 -37.9820910273258, -71.21725279156138 -37.9820910273258))" +7,Copahue_21_NE,06/10/2018 00:00,06/10/2018 23:59,S2B,"(-37.8559729, -71.16034011)",not_event,"[0, 1]",,"POLYGON ((-71.21150219511838 -37.896504470656076, -71.21144618467139 -37.81541884487707, -71.10923403532863 -37.81541884487707, -71.10917802488163 -37.896504470656076, -71.21150219511838 -37.896504470656076))","['S2B_OPER_MSI_L0__GR_EPAE_20181006T205046_S20181006T145313_D12_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20181006T205046_S20181006T145316_D11_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20181006T205046_S20181006T145316_D12_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20181006T205046_S20181006T145320_D11_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20181006T205046_S20181006T145320_D12_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20181006T205046_S20181006T145324_D11_N02.06']","['S2B_MSIL1C_20181006T143739_N0206_R096_T19HCU_20181006T210246', 'S2B_MSIL1C_20181006T143739_N0206_R096_T19HCT_20181006T210246', 'S2B_MSIL1C_20181006T143739_N0206_R096_T19HBU_20181006T210246', 'S2B_MSIL1C_20181006T143739_N0206_R096_T19HBT_20181006T210246']",{},[],"POLYGON((-71.21725279156138 -37.9820910273258, -71.21705917416107 -37.729824650578735, -71.10362104583895 -37.72982465057874, -71.10342742843864 -37.9820910273258, -71.21725279156138 -37.9820910273258))" +8,Etna_00,30/08/2021,30/08/2021 23:59,S2B,"(37.7439, 14.9949)",eruption,"[2, 4, 5]","[4, 2, 3]","POLYGON ((14.943870970778054 37.70334521617269, 14.943815269967189 37.784432388575, 15.045984730032812 37.78443238857499, 15.045929029221945 37.70334521617269, 14.943870970778054 37.70334521617269))","['S2B_OPER_MSI_L0__GR_VGS4_20210830T103044_S20210830T100003_D10_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210830T103044_S20210830T100007_D09_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210830T103044_S20210830T100007_D10_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210830T103044_S20210830T100010_D09_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210830T103044_S20210830T100010_D10_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210830T103044_S20210830T100014_D09_N03.01']","['S2B_MSIL1C_20210830T095029_N0301_R079_T33SWB_20210830T104000', 'S2B_MSIL1C_20210830T095029_N0301_R079_T33SVB_20210830T104000', 'S2B_MSIL1C_20210830T095029_N0301_R079_T33SWC_20210830T104000', 'S2B_MSIL1C_20210830T095029_N0301_R079_T33SVC_20210830T104000']","{2: [[[165, 94], [168, 93], [169, 97], [166, 97]], [[157, 118], [214, 102], [235, 178], [177, 195]], [[228, 109], [249, 103], [255, 123], [233, 129]], [[251, 124], [256, 122], [257, 127], [252, 128]]], 4: [[[310, 965], [325, 961], [327, 967], [311, 972]]], 5: [[[975, 680], [980, 678], [982, 683], [976, 684]], [[833, 1082], [837, 1080], [839, 1086], [834, 1087]]]}","{2: [[[[249, 103], [228, 109], [233, 129], [251, 124], [252, 128], [257, 127], [256, 122], [254, 122], [249, 103]], [[165, 94], [168, 93], [169, 97], [166, 97], [165, 94]], [[157, 118], [214, 102], [235, 178], [177, 195], [157, 118]]]], 4: [[[310, 965], [325, 961], [327, 967], [311, 972], [310, 965]]], 5: [[[[975, 680], [980, 678], [982, 683], [976, 684], [975, 680]], [[833, 1082], [837, 1080], [839, 1086], [834, 1087], [833, 1082]]]]}","POLYGON((14.93826618025414 37.61774940091972, 14.938073633210639 37.87002058944005, 15.05172636678936 37.87002058944005, 15.05153381974586 37.61774940091972, 14.93826618025414 37.61774940091972))" +9,Etna_01,21/09/2021,21/09/2021 23:59,S2A,"(37.7439, 14.9949)",eruption,[2],[1],"POLYGON ((14.93826618025414 37.61774940091971, 14.93807363321064 37.87002058944005, 15.05172636678936 37.87002058944005, 15.05153381974586 37.61774940091971, 14.93826618025414 37.61774940091971))","['S2A_OPER_MSI_L0__GR_VGS4_20210921T103059_S20210921T095015_D01_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210921T103059_S20210921T095018_D01_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210921T103059_S20210921T095022_D01_N03.01']","['S2A_MSIL1C_20210921T094031_N0301_R036_T33SVB_20210921T104732', 'S2A_MSIL1C_20210921T094031_N0301_R036_T33SWC_20210921T104732', 'S2A_MSIL1C_20210921T094031_N0301_R036_T33SWB_20210921T104732', 'S2A_MSIL1C_20210921T094031_N0301_R036_T33SVC_20210921T104732']","{2: [[[299, 19], [303, 18], [304, 21], [300, 22]], [[290, 30], [362, 16], [390, 133], [318, 147]]]}","{2: [[[[299, 19], [303, 18], [304, 21], [300, 22], [299, 19]], [[290, 30], [362, 16], [390, 133], [318, 147], [290, 30]]]]}","POLYGON((14.93826618025414 37.61774940091972, 14.938073633210639 37.87002058944005, 15.05172636678936 37.87002058944005, 15.05153381974586 37.61774940091972, 14.93826618025414 37.61774940091972))" +10,Etna_02,01/06/2022,03/06/2022 23:59,S2B,"(37.7521, 15.0204)",eruption,"[1, 2]","[2, 1]","POLYGON ((14.93826618025414 37.61774940091971, 14.93807363321064 37.87002058944005, 15.05172636678936 37.87002058944005, 15.05153381974586 37.61774940091971, 14.93826618025414 37.61774940091971))","['S2B_OPER_MSI_L0__GR_2BPS_20220603T103311_S20220603T095014_D01_N04.00', 'S2B_OPER_MSI_L0__GR_2BPS_20220603T103311_S20220603T095018_D01_N04.00', 'S2B_OPER_MSI_L0__GR_2BPS_20220603T103311_S20220603T095022_D01_N04.00']","['S2B_MSIL1C_20220603T094029_N0400_R036_T33SVB_20220603T103311', 'S2B_MSIL1C_20220603T094029_N0400_R036_T33SWB_20220603T103311', 'S2B_MSIL1C_20220603T094029_N0400_R036_T33SVC_20220603T103311', 'S2B_MSIL1C_20220603T094029_N0400_R036_T33SWC_20220603T103311', 'S2A_MSIL1C_20220601T095041_N0400_R079_T33SVB_20220601T115227', 'S2A_MSIL1C_20220601T095041_N0400_R079_T33SWB_20220601T115227', 'S2A_MSIL1C_20220601T095041_N0400_R079_T33SVC_20220601T115227', 'S2A_MSIL1C_20220601T095041_N0400_R079_T33SWC_20220601T115227']","{1: [[[395, 295], [513, 273], [528, 339], [410, 361]], [[320, 334], [327, 332], [328, 337], [321, 338]], [[361, 343], [367, 342], [368, 348], [362, 349]], [[367, 342], [373, 341], [374, 345], [368, 346]], [[651, 1021], [655, 1020], [657, 1026], [652, 1027]]], 2: [[[392, 994], [399, 993], [400, 997], [393, 998]]]}","{1: [[[[395, 295], [513, 273], [528, 339], [410, 361], [395, 295]], [[320, 334], [327, 332], [328, 337], [321, 338], [320, 334]], [[361, 343], [367, 342], [368, 348], [362, 349], [361, 343]], [[367, 342], [373, 341], [374, 345], [368, 346], [367, 342]], [[651, 1021], [655, 1020], [657, 1026], [652, 1027], [651, 1021]]]], 2: [[[392, 994], [399, 993], [400, 997], [393, 998], [392, 994]]]}","POLYGON((14.963759959262951 37.62594957275966, 14.963567334119407 37.878220409381875, 15.077232665880594 37.87822040938188, 15.07704004073705 37.62594957275966, 14.963759959262951 37.62594957275966))" +11,Etna_03,30/05/2019,30/05/2019 23:59,S2B,"(37.7354, 15.0161)",eruption,[1],[0],"POLYGON ((14.93826618025414 37.61774940091971, 14.93807363321064 37.87002058944005, 15.05172636678936 37.87002058944005, 15.05153381974586 37.61774940091971, 14.93826618025414 37.61774940091971))","['S2B_OPER_MSI_L0__GR_SGS__20190530T112813_S20190530T095023_D01_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20190530T112813_S20190530T095027_D01_N02.07']","['S2B_MSIL1C_20190530T094039_N0207_R036_T33SWC_20190530T114513', 'S2B_MSIL1C_20190530T094039_N0207_R036_T33SWB_20190530T114513', 'S2B_MSIL1C_20190530T094039_N0207_R036_T33SVC_20190530T114513', 'S2B_MSIL1C_20190530T094039_N0207_R036_T33SVB_20190530T114513']","{1: [[[407, 156], [508, 137], [520, 188], [419, 206]], [[384, 168], [413, 163], [420, 193], [391, 198]], [[432, 197], [436, 197], [437, 200], [433, 201]], [[400, 220], [480, 205], [503, 300], [422, 315]], [[406, 231], [412, 230], [413, 234], [407, 235]], [[414, 245], [419, 244], [420, 250], [415, 251]], [[437, 302], [444, 301], [447, 312], [440, 313]], [[447, 304], [462, 301], [466, 318], [451, 321]], [[483, 299], [491, 298], [492, 302], [484, 304]], [[467, 310], [476, 308], [478, 316], [469, 318]], [[464, 321], [467, 320], [469, 327], [466, 327]], [[1246, 650], [1249, 650], [1250, 654], [1247, 655]], [[210, 918], [214, 917], [215, 922], [211, 923]]]}","{1: [[[[419, 206], [520, 188], [508, 137], [407, 156], [408, 163], [384, 168], [391, 198], [416, 193], [419, 206]], [[480, 205], [400, 220], [422, 315], [439, 311], [440, 313], [447, 312], [446, 310], [448, 310], [451, 321], [466, 318], [463, 307], [483, 303], [484, 304], [491, 302], [503, 300], [480, 205]], [[467, 310], [476, 308], [478, 316], [469, 318], [467, 310]], [[464, 321], [467, 320], [469, 327], [466, 327], [464, 321]], [[1151, 650], [1151, 650], [1151, 654], [1151, 655], [1151, 650]], [[210, 918], [214, 917], [215, 922], [211, 923], [210, 918]]]]}","POLYGON((14.959472626172058 37.60924922280582, 14.95928016005031 37.86152077607123, 15.072919839949689 37.86152077607123, 15.072727373827941 37.60924922280582, 14.959472626172058 37.60924922280582))" +12,Fuego_00,06/09/2021,06/09/2021 23:59,S2B,"(14.47416263, -90.88137329)",eruption,[3],[1],"POLYGON ((-90.92310625812593 14.433487761525557, -90.92312145889831 14.514829952444355, -90.8396251211017 14.514829952444352, -90.83964032187407 14.433487761525557, -90.92310625812593 14.433487761525557))","['S2B_OPER_MSI_L0__GR_VGS2_20210906T200133_S20210906T163928_D04_N03.01', 'S2B_OPER_MSI_L0__GR_VGS2_20210906T200133_S20210906T163931_D03_N03.01', 'S2B_OPER_MSI_L0__GR_VGS2_20210906T200133_S20210906T163931_D04_N03.01', 'S2B_OPER_MSI_L0__GR_VGS2_20210906T200133_S20210906T163935_D03_N03.01']","['S2B_MSIL1C_20210906T161829_N0301_R040_T15PYS_20210906T200724', 'S2B_MSIL1C_20210906T161829_N0301_R040_T15PYR_20210906T200724']","{3: [[[969, 231], [993, 227], [1003, 270], [979, 275]]]}","{3: [[[969, 231], [993, 227], [1003, 270], [979, 275], [969, 231]]]}","POLYGON((-90.9277255068439 14.347625086833688, -90.92777805288813 14.60068967164694, -90.83496852711185 14.60068967164694, -90.8350210731561 14.347625086833688, -90.9277255068439 14.347625086833688))" +13,Fuego_01,21/09/2021,21/09/2021 23:59,S2A,"(14.47349778, -90.88137329)",eruption,"[0, 3]","[2, 5]","POLYGON ((-90.92310613427247 14.432822909411007, -90.92312133427106 14.51416510491931, -90.83962524572894 14.514165104919314, -90.83964044572753 14.432822909411007, -90.92310613427247 14.432822909411007))","['S2A_OPER_MSI_L0__GR_VGS1_20210921T202447_S20210921T163932_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210921T202447_S20210921T163936_D03_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210921T202447_S20210921T163936_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210921T202447_S20210921T163939_D03_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210921T202447_S20210921T163939_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210921T202447_S20210921T163943_D03_N03.01']","['S2A_MSIL1C_20210921T162001_N0301_R040_T15PYS_20210921T202846', 'S2A_MSIL1C_20210921T162001_N0301_R040_T15PYR_20210921T202846']","{0: [[[1135, 1081], [1139, 1080], [1140, 1084], [1136, 1085]], [[1135, 1089], [1142, 1088], [1143, 1093], [1136, 1095]]], 3: [[[1016, 872], [1030, 869], [1035, 889], [1021, 892]], [[1032, 876], [1038, 875], [1039, 879], [1033, 880]]]}","{0: [[[[1135, 1081], [1139, 1080], [1140, 1084], [1136, 1085], [1135, 1081]], [[1135, 1089], [1142, 1088], [1143, 1093], [1136, 1095], [1135, 1089]]]], 3: [[[[1016, 872], [1030, 869], [1035, 889], [1021, 892], [1016, 872]], [[1032, 876], [1038, 875], [1039, 879], [1033, 880], [1032, 876]]]]}","POLYGON((-90.927725370135 14.346960229941715, -90.92777791350437 14.600024829033503, -90.83496866649563 14.600024829033503, -90.835021209865 14.346960229941715, -90.927725370135 14.346960229941715))" +14,Fuego_02,11/10/2021,11/10/2021 23:59,S2A,"(14.47466127, -90.88120163)",eruption,"[0, 3]","[2, 5]","POLYGON ((-90.92293469102064 14.433986403111547, -90.92294989237338 14.515328590588064, -90.83945336762663 14.51532859058806, -90.83946856897937 14.433986403111547, -90.92293469102064 14.433986403111547))","['S2A_OPER_MSI_L0__GR_VGS2_20211011T195728_S20211011T163934_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20211011T195728_S20211011T163938_D03_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20211011T195728_S20211011T163938_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20211011T195728_S20211011T163942_D03_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20211011T195728_S20211011T163942_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20211011T195728_S20211011T163945_D03_N03.01']","['S2A_MSIL1C_20211011T162221_N0301_R040_T15PYR_20211011T200311', 'S2A_MSIL1C_20211011T162221_N0301_R040_T15PYS_20211011T200311']","{0: [[[1181, 48], [1185, 48], [1186, 52], [1182, 53]], [[1136, 1098], [1140, 1097], [1141, 1101], [1137, 1102]]], 3: [[[1052, 925], [1080, 919], [1086, 942], [1058, 947]]]}","{0: [[[[1151, 48], [1151, 48], [1151, 52], [1151, 53], [1151, 48]], [[1136, 1098], [1140, 1097], [1141, 1101], [1137, 1102], [1136, 1098]]]], 3: [[[1052, 925], [1080, 919], [1086, 942], [1058, 947], [1052, 925]]]}","POLYGON((-90.92755394938071 14.348123732002891, -90.92760649743113 14.60118830610679, -90.83479676256889 14.60118830610679, -90.8348493106193 14.348123732002891, -90.92755394938071 14.348123732002891))" +15,Karangetang_01,30/11/2018,30/11/2018 23:59,S2B,"(2.780770193, 125.4067008)",eruption,[4],[5],"POLYGON ((125.36623065461863 2.7400738205010184, 125.36622788079693 2.8214651427768205, 125.44717371920306 2.8214651427768205, 125.44717094538136 2.7400738205010184, 125.36623065461863 2.7400738205010184))","['S2B_OPER_MSI_L0__GR_SGS__20181130T051100_S20181130T020635_D02_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181130T051100_S20181130T020639_D02_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181130T051100_S20181130T020643_D02_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181130T051100_S20181130T020643_D03_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181130T051100_S20181130T020646_D03_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181130T051100_S20181130T020650_D03_N02.07']","['S2B_MSIL1C_20181130T020439_N0207_R017_T51NYC_20181130T051555', 'S2B_MSIL1C_20181130T020439_N0207_R017_T51NYD_20181130T051555']","{4: [[[308, 352], [323, 349], [326, 362], [311, 365]]]}","{4: [[[308, 352], [323, 349], [326, 362], [311, 365], [308, 352]]]}","POLYGON((125.36173715941314 2.654160476806476, 125.36172757086626 2.907377915198341, 125.45167402913373 2.9073779151983414, 125.45166444058685 2.654160476806476, 125.36173715941314 2.654160476806476))" +16,Krysuvik-Trolladyngja_00,23/03/2021,23/03/2021 23:59,S2B,"(63.89124154, -22.27487809)",eruption,[0],[1],"POLYGON ((-22.366355647878947 63.850844935581506, -22.366618699097256 63.931579960512806, -22.18313748090274 63.9315799605128, -22.183400532121055 63.850844935581506, -22.366355647878947 63.850844935581506))","['S2B_OPER_MSI_L0__GR_VGS4_20210323T134630_S20210323T131357_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS4_20210323T134630_S20210323T131401_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS4_20210323T134630_S20210323T131401_D09_N02.09', 'S2B_OPER_MSI_L0__GR_VGS4_20210323T134630_S20210323T131405_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS4_20210323T134630_S20210323T131405_D09_N02.09', 'S2B_OPER_MSI_L0__GR_VGS4_20210323T134630_S20210323T131408_D09_N02.09']","['S2B_MSIL1C_20210323T131259_N0209_R081_T27VVL_20210323T134842', 'S2B_MSIL1C_20210323T131259_N0209_R081_T27WVM_20210323T134842']","{0: [[[972, 975], [1019, 956], [1040, 1004], [992, 1022]]]}","{0: [[[972, 975], [1019, 956], [1040, 1004], [992, 1022], [972, 975]]]}","POLYGON((-22.376213245532867 63.76561688008364, -22.377122576785993 64.01679245008827, -22.172633603214017 64.01679245008827, -22.173542934467136 63.76561688008364, -22.376213245532867 63.76561688008364))" +17,Krysuvik-Trolladyngja_01,02/04/2021,02/04/2021 23:59,S2B,"(63.89124154, -22.27487809)",eruption,[0],[1],"POLYGON ((-22.366355647878947 63.850844935581506, -22.366618699097256 63.931579960512806, -22.18313748090274 63.9315799605128, -22.183400532121055 63.850844935581506, -22.366355647878947 63.850844935581506))","['S2B_OPER_MSI_L0__GR_VGS4_20210402T135647_S20210402T131356_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210402T135647_S20210402T131400_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210402T135647_S20210402T131400_D09_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210402T135647_S20210402T131404_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210402T135647_S20210402T131404_D09_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210402T135647_S20210402T131407_D09_N03.00']","['S2B_MSIL1C_20210402T131259_N0300_R081_T27VVL_20210402T135958', 'S2B_MSIL1C_20210402T131259_N0300_R081_T27WVM_20210402T135958']","{0: [[[1003, 961], [1006, 959], [1008, 964], [1005, 965]], [[989, 975], [1029, 959], [1041, 985], [1000, 1001]]]}","{0: [[[[1003, 961], [1006, 959], [1008, 964], [1005, 965], [1003, 961]], [[989, 975], [1029, 959], [1041, 985], [1000, 1001], [989, 975]]]]}","POLYGON((-22.376213245532867 63.76561688008364, -22.377122576785993 64.01679245008827, -22.172633603214017 64.01679245008827, -22.173542934467136 63.76561688008364, -22.376213245532867 63.76561688008364))" +18,Krysuvik-Trolladyngja_02,19/04/2021,19/04/2021 23:59,S2B,"(63.89124154, -22.27487809)",eruption,"[0, 3]","[2, 5]","POLYGON ((-22.366355647878947 63.850844935581506, -22.366618699097256 63.931579960512806, -22.18313748090274 63.9315799605128, -22.183400532121055 63.850844935581506, -22.366355647878947 63.850844935581506))","['S2B_OPER_MSI_L0__GR_VGS4_20210419T134443_S20210419T130355_D04_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210419T134443_S20210419T130359_D03_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210419T134443_S20210419T130359_D04_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210419T134443_S20210419T130403_D03_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210419T134443_S20210419T130403_D04_N03.00', 'S2B_OPER_MSI_L0__GR_VGS4_20210419T134443_S20210419T130406_D03_N03.00']","['S2B_MSIL1C_20210419T130259_N0300_R038_T27WVM_20210419T134729', 'S2B_MSIL1C_20210419T130259_N0300_R038_T27VVL_20210419T134729']","{0: [[[21, 1009], [84, 975], [125, 1080], [19, 1114]], [[49, 1096], [52, 1094], [53, 1097], [50, 1099]], [[56, 1095], [62, 1093], [65, 1099], [58, 1101]]], 3: [[[1194, 679], [1287, 650], [1326, 754], [1233, 783]], [[1262, 765], [1266, 764], [1267, 767], [1263, 769]], [[1269, 765], [1276, 763], [1278, 769], [1272, 771]]]}","{0: [[[[19, 1114], [125, 1080], [84, 975], [0, 1009], [19, 1114]]]], 3: [[[[1151, 754], [1151, 650], [1151, 679], [1151, 783], [1151, 770], [1151, 771], [1151, 769], [1151, 768], [1151, 754]]]]}","POLYGON((-22.376213245532867 63.76561688008364, -22.377122576785993 64.01679245008827, -22.172633603214017 64.01679245008827, -22.173542934467136 63.76561688008364, -22.376213245532867 63.76561688008364))" +19,Krysuvik-Trolladyngja_03,07/08/2021,07/08/2021 23:59,S2B,"(63.89124154, -22.27487809)",eruption,"[0, 3]","[2, 5]","POLYGON ((-22.366355647878947 63.850844935581506, -22.366618699097256 63.931579960512806, -22.18313748090274 63.9315799605128, -22.183400532121055 63.850844935581506, -22.366355647878947 63.850844935581506))","['S2B_OPER_MSI_L0__GR_VGS4_20210807T133935_S20210807T130401_D04_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210807T133935_S20210807T130405_D03_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210807T133935_S20210807T130405_D04_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210807T133935_S20210807T130409_D03_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210807T133935_S20210807T130409_D04_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210807T133935_S20210807T130412_D03_N03.01']","['S2B_MSIL1C_20210807T130259_N0301_R038_T27VVL_20210807T134203', 'S2B_MSIL1C_20210807T130259_N0301_R038_T27WVM_20210807T134203']","{0: [[[139, 1023], [166, 1014], [176, 1038], [149, 1047]], [[39, 1065], [145, 1030], [171, 1096], [65, 1131]], [[156, 1044], [160, 1043], [166, 1057], [161, 1059]], [[102, 1103], [109, 1101], [110, 1104], [103, 1106]], [[144, 1089], [147, 1088], [151, 1098], [147, 1099]]], 3: [[[1258, 745], [1298, 732], [1315, 780], [1276, 792]]]}","{0: [[[[166, 1014], [139, 1023], [142, 1030], [39, 1065], [65, 1131], [171, 1096], [151, 1046], [156, 1044], [161, 1059], [166, 1057], [160, 1043], [176, 1038], [166, 1014]]]], 3: [[[1151, 745], [1151, 732], [1151, 780], [1151, 792], [1151, 745]]]}","POLYGON((-22.376213245532867 63.76561688008364, -22.377122576785993 64.01679245008827, -22.172633603214017 64.01679245008827, -22.173542934467136 63.76561688008364, -22.376213245532867 63.76561688008364))" +20,La_Palma_00,20/09/2021,20/09/2021 23:59,S2A,"(28.6182, -17.8757)",eruption,[2],[4],"POLYGON ((-17.921697023587434 28.577589164409318, -17.92173242412157 28.658794973714087, -17.829667575878428 28.658794973714087, -17.829702976412563 28.577589164409318, -17.921697023587434 28.577589164409318))","['S2A_OPER_MSI_L0__GR_VGS2_20210920T170706_S20210920T120333_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210920T170706_S20210920T120337_D09_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210920T170706_S20210920T120337_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210920T170706_S20210920T120340_D09_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210920T170706_S20210920T120340_D10_N03.01']","['S2A_MSIL1C_20210920T120331_N0301_R023_T27RYM_20210920T170953', 'S2A_MSIL1C_20210920T120331_N0301_R023_T28RBS_20210920T170953']","{2: [[[346, 302], [460, 272], [482, 361], [368, 391]], [[434, 296], [439, 294], [440, 298], [435, 299]], [[458, 297], [463, 295], [464, 299], [459, 300]], [[444, 301], [448, 300], [449, 304], [445, 305]], [[448, 306], [453, 304], [454, 309], [449, 310]], [[476, 328], [488, 325], [490, 335], [478, 338]], [[347, 412], [351, 411], [352, 416], [349, 417]], [[353, 411], [357, 409], [358, 412], [354, 414]], [[348, 421], [354, 420], [355, 425], [349, 426]], [[387, 427], [397, 424], [401, 438], [391, 440]]]}","{2: [[[[460, 272], [346, 302], [368, 391], [482, 361], [460, 272]], [[476, 328], [488, 325], [490, 335], [478, 338], [476, 328]], [[347, 412], [351, 411], [352, 416], [349, 417], [347, 412]], [[353, 411], [357, 409], [358, 412], [354, 414], [353, 411]], [[348, 421], [354, 420], [355, 425], [349, 426], [348, 421]], [[387, 427], [397, 424], [401, 438], [391, 440], [387, 427]]]]}","POLYGON((-17.92676642355434 28.49186903905993, -17.926888796272056 28.74450932344391, -17.824511203727937 28.74450932344391, -17.824633576445656 28.49186903905993, -17.92676642355434 28.49186903905993))" +21,La_Palma_02,30/09/2021,30/09/2021 23:59,S2A,"(28.6191, -17.8946)",eruption,[1],[3],"POLYGON ((-17.94059741512773 28.5784891695106, -17.940632817284715 28.659694968027196, -17.848567182715293 28.659694968027196, -17.84860258487227 28.5784891695106, -17.94059741512773 28.5784891695106))","['S2A_OPER_MSI_L0__GR_VGS2_20210930T134956_S20210930T120334_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210930T134956_S20210930T120338_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210930T134956_S20210930T120341_D09_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210930T134956_S20210930T120341_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210930T134956_S20210930T120345_D09_N03.01']","['S2A_MSIL1C_20210930T120331_N0301_R023_T27RYM_20210930T135223', 'S2A_MSIL1C_20210930T120331_N0301_R023_T28RBS_20210930T135223']","{1: [[[178, 572], [495, 488], [531, 630], [214, 714]], [[413, 511], [416, 510], [417, 514], [414, 515]], [[282, 589], [290, 587], [291, 592], [283, 595]]]}","{1: [[[[531, 630], [495, 488], [178, 572], [214, 714], [531, 630]]]]}","POLYGON((-17.945666856701784 28.492769055459572, -17.945789235029373 28.745409306280102, -17.843410764970624 28.745409306280102, -17.843533143298217 28.492769055459572, -17.945666856701784 28.492769055459572))" +22,Mayon_01,30/01/2018,30/01/2018 23:59,S2B,"(13.2278, 123.68535)",eruption,[1],[2],"POLYGON ((123.64383820037754 13.187121336151726, 123.64382443162687 13.268471790103058, 123.72687556837313 13.268471790103057, 123.72686179962245 13.187121336151726, 123.64383820037754 13.187121336151726))","['S2B_OPER_MSI_L0__GR_SGS__20180130T071554_S20180130T022348_D07_N02.06', 'S2B_OPER_MSI_L0__GR_SGS__20180130T071554_S20180130T022351_D07_N02.06', 'S2B_OPER_MSI_L0__GR_SGS__20180130T071554_S20180130T022355_D07_N02.06']",['S2B_MSIL1C_20180130T022319_N0206_R103_T51PWQ_20180130T072251'],"{1: [[[778, 555], [862, 537], [880, 610], [795, 628]], [[911, 641], [919, 640], [921, 648], [913, 650]]]}","{1: [[[[778, 555], [862, 537], [880, 610], [795, 628], [778, 555]], [[911, 641], [919, 640], [921, 648], [913, 650], [911, 641]]]]}","POLYGON((123.63924184906182 13.101250065267072, 123.63919425323382 13.354340357379813, 123.73150574676617 13.354340357379815, 123.73145815093818 13.101250065267072, 123.63924184906182 13.101250065267072))" +23,Mayon_02,09/02/2018,09/02/2018 23:59,S2B,"(13.2542, 123.68689)",eruption,[1],[2],"POLYGON ((123.6453737422291 13.213521413017073, 123.64535994351743 13.294871699064721, 123.72842005648258 13.29487169906472, 123.72840625777091 13.213521413017073, 123.6453737422291 13.213521413017073))","['S2B_OPER_MSI_L0__GR_EPAE_20180209T034307_S20180209T022347_D07_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20180209T034307_S20180209T022350_D07_N02.06', 'S2B_OPER_MSI_L0__GR_EPAE_20180209T034307_S20180209T022354_D07_N02.06']",['S2B_MSIL1C_20180209T022319_N0206_R103_T51PWQ_20180209T034928'],"{1: [[[768, 837], [842, 822], [861, 899], [787, 915]], [[874, 910], [878, 909], [879, 913], [875, 914]], [[795, 930], [798, 929], [801, 938], [798, 939]], [[885, 919], [891, 918], [892, 924], [886, 925]], [[893, 923], [916, 918], [922, 942], [899, 947]], [[794, 951], [801, 949], [803, 957], [796, 958]], [[917, 944], [920, 944], [922, 953], [919, 954]], [[924, 948], [929, 947], [931, 954], [926, 955]], [[925, 962], [930, 961], [932, 969], [927, 970]], [[931, 970], [937, 969], [938, 975], [932, 977]], [[938, 971], [946, 970], [948, 975], [940, 977]]]}","{1: [[[[768, 837], [842, 822], [861, 899], [787, 915], [768, 837]], [[874, 910], [878, 909], [879, 913], [875, 914], [874, 910]], [[795, 930], [798, 929], [801, 938], [798, 939], [795, 930]], [[885, 919], [891, 918], [892, 924], [886, 925], [885, 919]], [[893, 923], [916, 918], [922, 942], [899, 947], [893, 923]], [[794, 951], [801, 949], [803, 957], [796, 958], [794, 951]], [[917, 944], [920, 944], [922, 953], [919, 954], [917, 944]], [[924, 948], [929, 947], [931, 954], [926, 955], [924, 948]], [[925, 962], [930, 961], [932, 969], [927, 970], [925, 962]], [[931, 970], [937, 969], [938, 975], [932, 977], [931, 970]], [[938, 971], [946, 970], [948, 975], [940, 977], [938, 971]]]]}","POLYGON((123.6407769306498 13.12765031669398, 123.64072923125256 13.380740086437966, 123.73305076874745 13.380740086437967, 123.7330030693502 13.12765031669398, 123.6407769306498 13.12765031669398))" +24,Nyamulagira_00,18/04/2018,20/04/2018 23:59,S2B,"(-1.409887617, 29.2053215)",eruption,"[1, 5]","[3, 4]","POLYGON ((29.164884443444084 -1.450583632115864, 29.16488584777453 -1.3691908809240994, 29.24575715222547 -1.3691908809240994, 29.245758556555916 -1.450583632115864, 29.164884443444084 -1.450583632115864))","['S2B_OPER_MSI_L0__GR_MTI__20180418T100732_S20180418T083029_D04_N02.06', 'S2B_OPER_MSI_L0__GR_MTI__20180418T100732_S20180418T083032_D04_N02.06', 'S2B_OPER_MSI_L0__GR_MTI__20180418T100732_S20180418T083032_D05_N02.06', 'S2B_OPER_MSI_L0__GR_MTI__20180418T100732_S20180418T083036_D04_N02.06', 'S2B_OPER_MSI_L0__GR_MTI__20180418T100732_S20180418T083036_D05_N02.06', 'S2B_OPER_MSI_L0__GR_MTI__20180418T100732_S20180418T083040_D05_N02.06']",['S2B_MSIL1C_20180418T080609_N0206_R078_T35MQU_20180418T102637'],"{1: [[[1172, 142], [1183, 140], [1185, 149], [1174, 151]], [[1164, 149], [1170, 148], [1171, 153], [1165, 155]]], 5: [[[279, 276], [363, 260], [381, 334], [297, 351]]]}","{1: [[[[1151, 142], [1151, 140], [1151, 149], [1151, 151], [1151, 142]], [[1151, 149], [1151, 148], [1151, 153], [1151, 155], [1151, 149]]]], 5: [[[279, 276], [363, 260], [381, 334], [297, 351], [279, 276]]]}","POLYGON((29.160389724845036 -1.5364980536312307, 29.160394579334515 -1.2832761697111437, 29.250248420665486 -1.2832761697111437, 29.250253275154964 -1.5364980536312307, 29.160389724845036 -1.5364980536312307))" +25,Nyamulagira_01,25/08/2021,25/08/2021 23:59,S2A,"(-1.410574055, 29.20411987)",eruption,"[1, 2, 5]","[3, 4, 4]","POLYGON ((29.163682801255348 -1.4512700696993728, 29.163684206270215 -1.3698773189894455, 29.244555533729784 -1.3698773189894455, 29.24455693874465 -1.4512700696993728, 29.163682801255348 -1.4512700696993728))","['S2A_OPER_MSI_L0__GR_VGS1_20210825T095425_S20210825T083033_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210825T095425_S20210825T083036_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210825T095425_S20210825T083036_D05_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210825T095425_S20210825T083040_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210825T095425_S20210825T083040_D05_N03.01', 'S2A_OPER_MSI_L0__GR_VGS1_20210825T095425_S20210825T083044_D05_N03.01']",['S2A_MSIL1C_20210825T080611_N0301_R078_T35MQU_20210825T101419'],"{1: [[[1148, 53], [1160, 51], [1163, 66], [1151, 68]]], 2: [[[126, 17], [131, 16], [132, 18], [127, 19]], [[73, 292], [77, 291], [78, 296], [74, 297]], [[134, 355], [140, 354], [141, 359], [135, 361]], [[168, 449], [174, 447], [175, 452], [169, 453]]], 5: [[[174, 941], [179, 940], [181, 945], [176, 946]], [[815, 1083], [818, 1082], [819, 1087], [816, 1088]]]}","{1: [[[1148, 53], [1151, 51], [1151, 66], [1151, 68], [1148, 53]]], 2: [[[[126, 17], [131, 16], [132, 18], [127, 19], [126, 17]], [[73, 292], [77, 291], [78, 296], [74, 297], [73, 292]], [[134, 355], [140, 354], [141, 359], [135, 361], [134, 355]], [[168, 449], [174, 447], [175, 452], [169, 453], [168, 449]]]], 5: [[[[174, 941], [179, 940], [181, 945], [176, 946], [174, 941]], [[815, 1083], [818, 1082], [819, 1087], [816, 1088], [815, 1083]]]]}","POLYGON((29.159188080499153 -1.5371844906356178, 29.159192937354526 -1.2839626082145834, 29.249046802645474 -1.2839626082145834, 29.249051659500847 -1.5371844906356178, 29.159188080499153 -1.5371844906356178))" +26,Nyamulagira_02,13/03/2022,13/03/2022 23:59,S2A,"(-1.41177532, 29.2044632)",eruption,"[1, 5]","[3, 4]","POLYGON ((29.1640261099112 -1.4524713339702329, 29.1640275161238 -1.3710785841040833, 29.2448988838762 -1.3710785841040833, 29.244900290088797 -1.4524713339702329, 29.1640261099112 -1.4524713339702329))","['S2A_OPER_MSI_L0__GR_VGS4_20220313T085529_S20220313T083035_D04_N04.00', 'S2A_OPER_MSI_L0__GR_VGS4_20220313T085529_S20220313T083039_D04_N04.00', 'S2A_OPER_MSI_L0__GR_VGS4_20220313T085529_S20220313T083039_D05_N04.00', 'S2A_OPER_MSI_L0__GR_VGS4_20220313T085529_S20220313T083042_D04_N04.00', 'S2A_OPER_MSI_L0__GR_VGS4_20220313T085529_S20220313T083042_D05_N04.00', 'S2A_OPER_MSI_L0__GR_VGS4_20220313T085529_S20220313T083046_D05_N04.00']",['S2A_MSIL1C_20220313T080731_N0400_R078_T35MQU_20220313T092359'],"{1: [[[1201, 15], [1208, 14], [1210, 19], [1203, 21]]], 5: [[[355, 154], [365, 152], [367, 163], [357, 165]]]}","{1: [[[1151, 15], [1151, 14], [1151, 19], [1151, 21], [1151, 15]]], 5: [[[355, 154], [365, 152], [367, 163], [357, 165], [355, 154]]]}","POLYGON((29.159531385378447 -1.5383857538924204, 29.159536246374138 -1.2851638740964801, 29.24939015362586 -1.2851638740964801, 29.249395014621552 -1.5383857538924204, 29.159531385378447 -1.5383857538924204))" +27,Piton_de_la_Fournaise_00,01/01/2022,01/01/2022 23:59,S2B,"(-21.26348639, 55.70800059)",eruption,[1],[2],"POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2B_OPER_MSI_L0__GR_VGS4_20220101T070117_S20220101T063509_D08_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20220101T070117_S20220101T063512_D08_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20220101T070117_S20220101T063516_D08_N03.01']",['S2B_MSIL1C_20220101T063509_N0301_R134_T40KCB_20220101T070336'],"{1: [[[682, 76], [743, 63], [758, 126], [698, 140]]]}","{1: [[[682, 76], [743, 63], [758, 126], [698, 140], [682, 76]]]}","POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +28,Piton_de_la_Fournaise_01,06/01/2022,06/01/2022 23:59,S2A,"(-21.26348639, 55.70800059)",eruption,[1],[2],"POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2A_OPER_MSI_L0__GR_VGS4_20220106T070254_S20220106T063514_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20220106T070254_S20220106T063517_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20220106T070254_S20220106T063521_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20220106T084405_S20220106T063521_D08_N03.01']",['S2A_MSIL1C_20220106T063511_N0301_R134_T40KCB_20220106T070449'],"{1: [[[725, 323], [758, 315], [765, 347], [733, 354]]]}","{1: [[[725, 323], [758, 315], [765, 347], [733, 354], [725, 323]]]}","POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +29,Piton_de_la_Fournaise_02,16/01/2022,16/01/2022 23:59,S2A,"(-21.26348639, 55.70800059)",eruption,"[0, 1]","[1, 2]","POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2A_OPER_MSI_L0__GR_VGS4_20220116T070104_S20220116T063514_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20220116T070104_S20220116T063517_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20220116T070104_S20220116T063521_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20220116T084447_S20220116T063521_D08_N03.01']",['S2A_MSIL1C_20220116T063511_N0301_R134_T40KCB_20220116T070314'],"{0: [[[632, 1094], [683, 1083], [695, 1132], [644, 1144]]], 1: [[[666, 0], [669, 1], [671, 6], [667, 6]], [[669, 14], [802, 16], [826, 83], [693, 113]]]}","{0: [[[632, 1094], [683, 1083], [695, 1132], [644, 1144], [632, 1094]]], 1: [[[[666, 0], [669, 0], [671, 6], [667, 6], [666, 0]], [[669, 14], [802, 0], [826, 83], [693, 113], [669, 14]]]]}","POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +30,Piton_de_la_Fournaise_10,16/04/2021,16/04/2021 23:59,S2B,"(-21.26348639, 55.70800059)",eruption,[1],[2],"POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2B_OPER_MSI_L0__GR_VGS1_20210416T080851_S20210416T063508_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS1_20210416T080851_S20210416T063511_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS1_20210416T080851_S20210416T063515_D08_N03.00']",['S2B_MSIL1C_20210416T063509_N0300_R134_T40KCB_20210416T081058'],"{1: [[[656, 335], [680, 329], [684, 345], [660, 351]], [[658, 343], [712, 331], [725, 384], [671, 396]], [[682, 339], [686, 338], [687, 341], [683, 342]]]}","{1: [[[[680, 329], [656, 335], [658, 343], [671, 396], [725, 384], [712, 331], [682, 337], [680, 329]]]]}","POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +31,Piton_de_la_Fournaise_11,26/04/2021,26/04/2021 23:59,S2B,"(-21.26348639, 55.70800059)",eruption,[1],[2],"POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2B_OPER_MSI_L0__GR_VGS1_20210426T074551_S20210426T063508_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS1_20210426T074551_S20210426T063511_D08_N03.00', 'S2B_OPER_MSI_L0__GR_VGS1_20210426T074551_S20210426T063515_D08_N03.00']",['S2B_MSIL1C_20210426T063509_N0300_R134_T40KCB_20210426T074748'],"{1: [[[670, 122], [687, 118], [692, 138], [675, 142]], [[721, 167], [733, 164], [735, 173], [724, 176]], [[736, 164], [746, 162], [748, 170], [738, 173]]]}","{1: [[[[670, 122], [687, 118], [692, 138], [675, 142], [670, 122]], [[721, 167], [733, 164], [735, 173], [724, 176], [721, 167]], [[736, 164], [746, 162], [748, 170], [738, 173], [736, 164]]]]}","POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +32,Piton_de_la_Fournaise_12,11/05/2021,11/05/2021 23:59,S2A,"(-21.28012286, 55.74370615)",eruption,[4],[5],"POLYGON ((55.70033125917819 -21.32075998654988, 55.70035508050503 -21.239474373961254, 55.787057219494976 -21.239474373961258, 55.78708104082181 -21.32075998654988, 55.70033125917819 -21.32075998654988))","['S2A_OPER_MSI_L0__GR_VGS2_20210511T081754_S20210511T063519_D08_N03.00', 'S2A_OPER_MSI_L0__GR_VGS2_20210511T081754_S20210511T063519_D09_N03.00', 'S2A_OPER_MSI_L0__GR_VGS2_20210511T081754_S20210511T063522_D09_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210511T070621_S20210511T063512_D08_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210511T070621_S20210511T063515_D08_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210511T070621_S20210511T063519_D08_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210511T070621_S20210511T063519_D09_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210511T070621_S20210511T063522_D09_N03.00']",['S2A_MSIL1C_20210511T063511_N0300_R134_T40KCB_20210511T070828'],"{4: [[[716, 243], [732, 240], [739, 268], [723, 272]], [[869, 263], [919, 252], [924, 273], [874, 284]], [[928, 258], [954, 252], [960, 275], [934, 281]]]}","{4: [[[[716, 243], [732, 240], [739, 268], [723, 272], [716, 243]], [[869, 263], [919, 252], [924, 273], [874, 284], [869, 263]], [[928, 258], [954, 252], [960, 275], [934, 281], [928, 258]]]]}","POLYGON((55.69548378713425 -21.406559301798243, 55.69556613274845 -21.153670739158464, 55.79184616725155 -21.153670739158464, 55.79192851286575 -21.406559301798243, 55.69548378713425 -21.406559301798243))" +33,Piton_de_la_Fournaise_31,06/04/2020,06/04/2020 23:59,S2A,"(-21.24396814, 55.72688334)",eruption,[0],[1],"POLYGON ((55.68351905849645 -21.28460545128852, 55.68354282961611 -21.203319490252333, 55.77022385038389 -21.203319490252333, 55.77024762150355 -21.28460545128852, 55.68351905849645 -21.28460545128852))","['S2A_OPER_MSI_L0__GR_EPAE_20200406T090330_S20200406T063510_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20200406T090330_S20200406T063513_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20200406T090330_S20200406T063517_D08_N02.09']",['S2A_MSIL1C_20200406T063511_N0209_R134_T40KCB_20200406T090758'],"{0: [[[728, 1050], [826, 1027], [848, 1115], [749, 1138]], [[759, 1055], [764, 1054], [766, 1060], [761, 1061]], [[864, 1037], [884, 1033], [891, 1060], [871, 1065]], [[858, 1054], [880, 1049], [884, 1066], [862, 1071]], [[960, 1036], [972, 1034], [974, 1043], [963, 1046]], [[957, 1044], [1016, 1031], [1028, 1081], [969, 1094]], [[923, 1055], [949, 1049], [952, 1063], [927, 1069]], [[944, 1065], [948, 1064], [949, 1067], [945, 1068]]]}","{0: [[[[749, 1138], [848, 1115], [826, 1027], [728, 1050], [749, 1138]], [[891, 1060], [884, 1033], [864, 1037], [867, 1051], [858, 1054], [862, 1071], [884, 1066], [883, 1061], [891, 1060]], [[972, 1034], [960, 1036], [962, 1042], [957, 1044], [969, 1094], [1028, 1081], [1016, 1031], [973, 1040], [972, 1034]], [[923, 1055], [949, 1049], [952, 1063], [927, 1069], [923, 1055]], [[944, 1065], [948, 1064], [949, 1067], [945, 1068], [944, 1065]]]]}","POLYGON((55.67867282429168 -21.370405137944807, 55.67875499634941 -21.11751549124101, 55.77501168365059 -21.117515491241015, 55.77509385570832 -21.370405137944807, 55.67867282429168 -21.370405137944807))" +34,Piton_de_la_Fournaise_32,07/12/2020,07/12/2020 23:59,S2B,"(-21.28012286, 55.74370615)",eruption,[1],[2],"POLYGON ((55.70033125917819 -21.32075998654988, 55.70035508050503 -21.239474373961254, 55.787057219494976 -21.239474373961258, 55.78708104082181 -21.32075998654988, 55.70033125917819 -21.32075998654988))","['S2B_OPER_MSI_L0__GR_EPAE_20201207T070712_S20201207T063511_D08_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20201207T070712_S20201207T063514_D08_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20201207T070712_S20201207T063518_D08_N02.09']",['S2B_MSIL1C_20201207T063509_N0209_R134_T40KCB_20201207T071035'],"{1: [[[544, 86], [628, 67], [659, 194], [574, 213]], [[558, 85], [563, 83], [564, 87], [559, 89]], [[558, 93], [565, 91], [567, 97], [559, 99]], [[555, 164], [566, 162], [568, 170], [558, 173]], [[547, 172], [559, 169], [561, 177], [549, 180]]]}","{1: [[[[659, 194], [628, 67], [544, 86], [562, 162], [555, 164], [556, 169], [547, 172], [549, 180], [561, 177], [559, 172], [564, 171], [574, 213], [659, 194]]]]}","POLYGON((55.69548378713425 -21.406559301798243, 55.69556613274845 -21.153670739158464, 55.79184616725155 -21.153670739158464, 55.79192851286575 -21.406559301798243, 55.69548378713425 -21.406559301798243))" +35,Raung_10,19/07/2020,19/07/2020 23:59,S2A,"(-8.116587097, 114.0563439)",eruption,"[0, 1]","[2, 3]","POLYGON ((114.01550928808638 -8.157273486401651, 114.01551750434399 -8.075896532636609, 114.09717029565601 -8.075896532636607, 114.09717851191363 -8.157273486401651, 114.01550928808638 -8.157273486401651))","['S2A_OPER_MSI_L0__GR_SGS__20200719T055229_S20200719T025004_D08_N02.09', 'S2A_OPER_MSI_L0__GR_SGS__20200719T055229_S20200719T025008_D07_N02.09', 'S2A_OPER_MSI_L0__GR_SGS__20200719T055229_S20200719T025008_D08_N02.09', 'S2A_OPER_MSI_L0__GR_SGS__20200719T055229_S20200719T025012_D07_N02.09', 'S2A_OPER_MSI_L0__GR_SGS__20200719T055229_S20200719T025012_D08_N02.09']","['S2A_MSIL1C_20200719T022551_N0209_R046_T49MHM_20200719T060041', 'S2A_MSIL1C_20200719T022551_N0209_R046_T49LHL_20200719T060041']","{0: [[[386, 945], [396, 943], [399, 953], [389, 956]]], 1: [[[108, 568], [113, 567], [115, 572], [110, 573]], [[547, 662], [550, 661], [551, 666], [548, 666]], [[757, 659], [761, 658], [762, 661], [758, 661]], [[579, 772], [583, 771], [583, 775], [579, 776]]]}","{0: [[[386, 945], [396, 943], [399, 953], [389, 956], [386, 945]]], 1: [[[[108, 568], [113, 567], [115, 572], [110, 573], [108, 568]], [[547, 662], [550, 661], [551, 666], [548, 666], [547, 662]], [[757, 659], [761, 658], [762, 661], [758, 661], [757, 659]], [[579, 772], [583, 771], [583, 775], [579, 776], [579, 772]]]]}","POLYGON((114.01096240288634 -8.243170545461172, 114.01099080484785 -7.98999780922754, 114.10169699515215 -7.98999780922754, 114.10172539711367 -8.243170545461172, 114.01096240288634 -8.243170545461172))" +36,Raung_11,24/07/2020,24/07/2020 23:59,S2B,"(-8.116587097, 114.0563439)",eruption,"[0, 1, 2, 3]","[2, 3, 4, 1]","POLYGON ((114.01550928808638 -8.157273486401651, 114.01551750434399 -8.075896532636609, 114.09717029565601 -8.075896532636607, 114.09717851191363 -8.157273486401651, 114.01550928808638 -8.157273486401651))","['S2B_OPER_MSI_L0__GR_VGS2_20200724T060330_S20200724T025001_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200724T060330_S20200724T025005_D07_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200724T060330_S20200724T025005_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200724T060330_S20200724T025008_D07_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200724T060330_S20200724T025008_D08_N02.09']","['S2B_MSIL1C_20200724T022549_N0209_R046_T49MHM_20200724T060733', 'S2B_MSIL1C_20200724T022549_N0209_R046_T49LHL_20200724T060733']","{0: [[[343, 989], [351, 987], [353, 994], [344, 996]]], 1: [[[621, 160], [626, 159], [627, 163], [622, 164]], [[217, 658], [224, 657], [225, 662], [218, 663]], [[743, 755], [750, 753], [751, 760], [744, 761]]], 2: [[[976, 243], [985, 241], [988, 252], [978, 254]]], 3: [[[589, 32], [594, 31], [594, 35], [589, 36]], [[744, 241], [750, 240], [751, 245], [745, 246]]]}","{0: [[[343, 989], [351, 987], [353, 994], [344, 996], [343, 989]]], 1: [[[[621, 160], [626, 159], [627, 163], [622, 164], [621, 160]], [[217, 658], [224, 657], [225, 662], [218, 663], [217, 658]], [[743, 755], [750, 753], [751, 760], [744, 761], [743, 755]]]], 2: [[[976, 243], [985, 241], [988, 252], [978, 254], [976, 243]]], 3: [[[[589, 32], [594, 31], [594, 35], [589, 36], [589, 32]], [[744, 241], [750, 240], [751, 245], [745, 246], [744, 241]]]]}","POLYGON((114.01096240288634 -8.243170545461172, 114.01099080484785 -7.98999780922754, 114.10169699515215 -7.98999780922754, 114.10172539711367 -8.243170545461172, 114.01096240288634 -8.243170545461172))" +37,Raung_12,29/07/2020,29/07/2020 23:59,S2A,"(-8.116587097, 114.0563439)",eruption,"[1, 2]","[3, 4]","POLYGON ((114.01550928808638 -8.157273486401651, 114.01551750434399 -8.075896532636609, 114.09717029565601 -8.075896532636607, 114.09717851191363 -8.157273486401651, 114.01550928808638 -8.157273486401651))","['S2A_OPER_MSI_L0__GR_EPAE_20200729T065334_S20200729T025002_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20200729T065334_S20200729T025005_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20200729T065334_S20200729T025009_D07_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20200729T065334_S20200729T025009_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20200729T065334_S20200729T025012_D07_N02.09']","['S2A_MSIL1C_20200729T022601_N0209_R046_T49LHL_20200729T070109', 'S2A_MSIL1C_20200729T022601_N0209_R046_T49MHM_20200729T070109']","{1: [[[400, 857], [407, 856], [409, 864], [402, 866]]], 2: [[[622, 488], [627, 487], [628, 491], [623, 492]], [[850, 680], [855, 679], [856, 685], [851, 686]]]}","{1: [[[400, 857], [407, 856], [409, 864], [402, 866], [400, 857]]], 2: [[[[622, 488], [627, 487], [628, 491], [623, 492], [622, 488]], [[850, 680], [855, 679], [856, 685], [851, 686], [850, 680]]]]}","POLYGON((114.01096240288634 -8.243170545461172, 114.01099080484785 -7.98999780922754, 114.10169699515215 -7.98999780922754, 114.10172539711367 -8.243170545461172, 114.01096240288634 -8.243170545461172))" +38,San_Miguel_10,06/02/2018,06/02/2018 23:59,S2A,"(13.3823, -88.2656)",eruption,"[1, 2]","[2, 3]","POLYGON ((-88.30713802812426 13.341621788171004, -88.3071519724357 13.422971255099657, -88.22404802756431 13.422971255099656, -88.22406197187576 13.341621788171004, -88.30713802812426 13.341621788171004))","['S2A_OPER_MSI_L0__GR_SGS__20180206T193919_S20180206T162940_D04_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180206T193919_S20180206T162943_D05_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180206T193919_S20180206T162947_D05_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180206T193919_S20180206T162950_D05_N02.06']","['S2A_MSIL1C_20180206T161431_N0206_R140_T16PCV_20180206T194502', 'S2A_MSIL1C_20180206T161431_N0206_R140_T16PCA_20180206T194502']","{1: [[[303, 520], [308, 519], [308, 522], [303, 523]]], 2: [[[905, 6], [908, 5], [909, 11], [906, 11]], [[440, 391], [445, 390], [446, 397], [441, 398]], [[436, 429], [442, 427], [443, 432], [438, 433]], [[444, 432], [449, 431], [452, 440], [447, 441]], [[426, 442], [436, 441], [438, 449], [428, 451]], [[419, 445], [423, 444], [425, 449], [420, 450]], [[430, 446], [453, 441], [457, 458], [434, 463]], [[413, 451], [421, 449], [422, 454], [414, 456]], [[946, 452], [949, 452], [950, 456], [947, 456]], [[940, 457], [947, 455], [949, 464], [942, 465]], [[980, 493], [983, 493], [985, 499], [982, 500]], [[1125, 597], [1129, 596], [1130, 600], [1126, 601]]]}","{1: [[[303, 520], [308, 519], [308, 522], [303, 523], [303, 520]]], 2: [[[[436, 441], [426, 442], [428, 451], [431, 450], [434, 463], [457, 458], [453, 441], [436, 444], [436, 441]], [[425, 449], [423, 444], [419, 445], [419, 449], [413, 451], [414, 456], [422, 454], [421, 449], [425, 449]], [[950, 456], [949, 452], [946, 452], [946, 455], [940, 457], [942, 465], [949, 464], [947, 456], [950, 456]], [[905, 6], [908, 5], [909, 11], [906, 11], [905, 6]], [[440, 391], [445, 390], [446, 397], [441, 398], [440, 391]], [[436, 429], [442, 427], [443, 432], [438, 433], [436, 429]], [[444, 432], [449, 431], [452, 440], [447, 441], [444, 432]], [[980, 493], [983, 493], [985, 499], [982, 500], [980, 493]], [[1125, 597], [1129, 596], [1130, 600], [1126, 601], [1125, 597]]]]}","POLYGON((-88.31173708812645 13.255751543519487, -88.31178529083331 13.508838764884773, -88.2194147091667 13.508838764884773, -88.21946291187356 13.255751543519487, -88.31173708812645 13.255751543519487))" +39,San_Miguel_11,16/02/2018,16/02/2018 23:59,S2A,"(13.3823, -88.2656)",eruption,"[1, 2, 3, 4]","[0, 3, 4, 3]","POLYGON ((-88.30713802812426 13.341621788171004, -88.3071519724357 13.422971255099657, -88.22404802756431 13.422971255099656, -88.22406197187576 13.341621788171004, -88.30713802812426 13.341621788171004))","['S2A_OPER_MSI_L0__GR_MPS__20180216T224250_S20180216T162940_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180216T224250_S20180216T162943_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180216T224250_S20180216T162943_D05_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180216T224250_S20180216T162947_D05_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180216T224250_S20180216T162950_D05_N02.06']","['S2A_MSIL1C_20180216T161341_N0206_R140_T16PCA_20180216T224729', 'S2A_MSIL1C_20180216T161341_N0206_R140_T16PCV_20180216T224729']","{1: [[[943, 382], [953, 380], [955, 387], [945, 389]], [[939, 392], [944, 391], [945, 395], [940, 396]], [[779, 575], [783, 574], [784, 579], [780, 580]]], 2: [[[1054, 643], [1064, 641], [1066, 650], [1056, 652]], [[402, 979], [407, 978], [408, 982], [403, 983]]], 3: [[[721, 468], [725, 467], [726, 472], [722, 472]], [[384, 662], [392, 661], [394, 665], [385, 667]], [[914, 846], [919, 845], [921, 849], [916, 850]]], 4: [[[302, 42], [309, 41], [310, 47], [303, 49]], [[506, 45], [510, 45], [511, 48], [507, 49]], [[841, 123], [845, 122], [846, 127], [842, 127]], [[1260, 325], [1270, 323], [1272, 330], [1262, 332]]]}","{1: [[[[943, 382], [953, 380], [955, 387], [945, 389], [943, 382]], [[939, 392], [944, 391], [945, 395], [940, 396], [939, 392]], [[779, 575], [783, 574], [784, 579], [780, 580], [779, 575]]]], 2: [[[[1054, 643], [1064, 641], [1066, 650], [1056, 652], [1054, 643]], [[402, 979], [407, 978], [408, 982], [403, 983], [402, 979]]]], 3: [[[[721, 468], [725, 467], [726, 472], [722, 472], [721, 468]], [[384, 662], [392, 661], [394, 665], [385, 667], [384, 662]], [[914, 846], [919, 845], [921, 849], [916, 850], [914, 846]]]], 4: [[[[302, 42], [309, 41], [310, 47], [303, 49], [302, 42]], [[506, 45], [510, 45], [511, 48], [507, 49], [506, 45]], [[841, 123], [845, 122], [846, 127], [842, 127], [841, 123]], [[1151, 325], [1151, 323], [1151, 330], [1151, 332], [1151, 325]]]]}","POLYGON((-88.31173708812645 13.255751543519487, -88.31178529083331 13.508838764884773, -88.2194147091667 13.508838764884773, -88.21946291187356 13.255751543519487, -88.31173708812645 13.255751543519487))" +40,San_Miguel_12,08/03/2018,08/03/2018 23:59,S2A,"(13.3823, -88.2656)",eruption,"[1, 3, 4]","[0, 4, 3]","POLYGON ((-88.30713802812426 13.341621788171004, -88.3071519724357 13.422971255099657, -88.22404802756431 13.422971255099656, -88.22406197187576 13.341621788171004, -88.30713802812426 13.341621788171004))","['S2A_OPER_MSI_L0__GR_MTI__20180308T210554_S20180308T162937_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MTI__20180308T210554_S20180308T162941_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MTI__20180308T210554_S20180308T162941_D05_N02.06', 'S2A_OPER_MSI_L0__GR_MTI__20180308T210554_S20180308T162944_D05_N02.06', 'S2A_OPER_MSI_L0__GR_MTI__20180308T210554_S20180308T162948_D05_N02.06']","['S2A_MSIL1C_20180308T161111_N0206_R140_T16PCA_20180308T211755', 'S2A_MSIL1C_20180308T161111_N0206_R140_T16PCV_20180308T211755']","{1: [[[56, 655], [60, 654], [61, 657], [57, 657]], [[601, 627], [606, 626], [607, 631], [602, 632]], [[1035, 654], [1038, 653], [1038, 656], [1035, 657]], [[885, 826], [890, 825], [891, 829], [886, 830]]], 3: [[[1009, 934], [1013, 934], [1014, 938], [1010, 939]], [[355, 1088], [373, 1084], [383, 1126], [365, 1129]]], 4: [[[756, 212], [760, 212], [760, 214], [756, 215]], [[762, 211], [765, 210], [766, 214], [762, 215]], [[405, 554], [411, 553], [412, 559], [406, 560]], [[638, 601], [649, 599], [650, 606], [639, 608]], [[641, 609], [648, 607], [649, 613], [642, 614]], [[449, 1089], [455, 1088], [456, 1093], [450, 1094]]]}","{1: [[[[56, 655], [60, 654], [61, 657], [57, 657], [56, 655]], [[601, 627], [606, 626], [607, 631], [602, 632], [601, 627]], [[1035, 654], [1038, 653], [1038, 656], [1035, 657], [1035, 654]], [[885, 826], [890, 825], [891, 829], [886, 830], [885, 826]]]], 3: [[[[1009, 934], [1013, 934], [1014, 938], [1010, 939], [1009, 934]], [[355, 1088], [373, 1084], [383, 1126], [365, 1129], [355, 1088]]]], 4: [[[[756, 212], [760, 212], [760, 214], [756, 215], [756, 212]], [[762, 211], [765, 210], [766, 214], [762, 215], [762, 211]], [[405, 554], [411, 553], [412, 559], [406, 560], [405, 554]], [[638, 601], [649, 599], [650, 606], [639, 608], [638, 601]], [[641, 609], [648, 607], [649, 613], [642, 614], [641, 609]], [[449, 1089], [455, 1088], [456, 1093], [450, 1094], [449, 1089]]]]}","POLYGON((-88.31173708812645 13.255751543519487, -88.31178529083331 13.508838764884773, -88.2194147091667 13.508838764884773, -88.21946291187356 13.255751543519487, -88.31173708812645 13.255751543519487))" +41,Sangay_00,17/05/2019,17/05/2019 23:59,S2A,"(-2.005171432, -78.33997003)",eruption,[3],[4],"POLYGON ((-78.38041982593695 -2.0458670418995983, -78.380417827646 -1.9644747965453797, -78.29952223235401 -1.9644747965453802, -78.29952023406305 -2.0458670418995983, -78.38041982593695 -2.0458670418995983))","['S2A_OPER_MSI_L0__GR_MTI__20190517T201654_S20190517T154349_D08_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190517T201654_S20190517T154349_D09_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190517T201654_S20190517T154353_D09_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190517T184648_S20190517T154342_D08_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190517T184648_S20190517T154346_D08_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190517T184648_S20190517T154349_D08_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190517T184648_S20190517T154349_D09_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190517T184648_S20190517T154353_D09_N02.07']","['S2A_MSIL1C_20190517T153621_N0207_R068_T17MQU_20190517T185745', 'S2A_MSIL1C_20190517T153621_N0207_R068_T17MQT_20190517T185745', 'S2A_MSIL1C_20190517T153621_N0207_R068_T17MRT_20190517T185745', 'S2A_MSIL1C_20190517T153621_N0207_R068_T17MRU_20190517T185745']","{3: [[[920, 1096], [924, 1095], [925, 1101], [921, 1101]], [[927, 1096], [948, 1092], [953, 1110], [932, 1115]]]}","{3: [[[[920, 1096], [924, 1095], [925, 1101], [921, 1101], [920, 1096]], [[927, 1096], [948, 1092], [953, 1110], [932, 1115], [927, 1096]]]]}","POLYGON((-78.38491665678492 -2.13178086832881, -78.38490974909273 -1.878560558129733, -78.29503031090728 -1.878560558129733, -78.29502340321508 -2.13178086832881, -78.38491665678492 -2.13178086832881))" +42,Sangay_01,05/07/2021,05/07/2021 23:59,S2A,"(-2.00482832, -78.34168665)",eruption,[0],[1],"POLYGON ((-78.3821364373425 -2.045523930158546, -78.38213443939415 -1.9641316844620493, -78.30123886060585 -1.9641316844620489, -78.3012368626575 -2.045523930158546, -78.3821364373425 -2.045523930158546))","['S2A_OPER_MSI_L0__GR_VGS2_20210705T203923_S20210705T154341_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210705T203923_S20210705T154345_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210705T203923_S20210705T154348_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210705T203923_S20210705T154348_D09_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210705T203923_S20210705T154352_D09_N03.01']","['S2A_MSIL1C_20210705T153621_N0301_R068_T17MQT_20210705T205715', 'S2A_MSIL1C_20210705T153621_N0301_R068_T17MRU_20210705T205715', 'S2A_MSIL1C_20210705T153621_N0301_R068_T17MQU_20210705T205715', 'S2A_MSIL1C_20210705T153621_N0301_R068_T17MRT_20210705T205715']","{0: [[[926, 1046], [938, 1043], [940, 1053], [928, 1056]]]}","{0: [[[926, 1046], [938, 1043], [940, 1053], [928, 1056], [926, 1046]]]}","POLYGON((-78.38663326683357 -2.1314377569842904, -78.38662636032576 -1.8782174457203453, -78.29674693967424 -1.8782174457203453, -78.29674003316643 -2.1314377569842904, -78.38663326683357 -2.1314377569842904))" +43,Sangay_10,25/08/2018,25/08/2018 23:59,S2B,"(-2.0056, -78.33946)",eruption,[0],[1],"POLYGON ((-78.37990980667401 -2.0462956095761173, -78.37990780795508 -1.9649033646495069, -78.29901219204493 -1.9649033646495064, -78.299010193326 -2.0462956095761173, -78.37990980667401 -2.0462956095761173))","['S2B_OPER_MSI_L0__GR_SGS__20180825T203426_S20180825T154330_D08_N02.06', 'S2B_OPER_MSI_L0__GR_SGS__20180825T203426_S20180825T154334_D08_N02.06', 'S2B_OPER_MSI_L0__GR_SGS__20180825T203426_S20180825T154337_D08_N02.06', 'S2B_OPER_MSI_L0__GR_SGS__20180825T203426_S20180825T154337_D09_N02.06', 'S2B_OPER_MSI_L0__GR_SGS__20180825T203426_S20180825T154341_D09_N02.06']","['S2B_MSIL1C_20180825T153609_N0206_R068_T17MQT_20180825T205020', 'S2B_MSIL1C_20180825T153609_N0206_R068_T17MRT_20180825T205020', 'S2B_MSIL1C_20180825T153609_N0206_R068_T17MQU_20180825T205020', 'S2B_MSIL1C_20180825T153609_N0206_R068_T17MRU_20180825T205020']","{0: [[[851, 1092], [859, 1090], [860, 1096], [852, 1098]], [[862, 1093], [879, 1089], [882, 1102], [865, 1106]]]}","{0: [[[[851, 1092], [859, 1090], [860, 1096], [852, 1098], [851, 1092]], [[862, 1093], [879, 1089], [882, 1102], [865, 1106], [862, 1093]]]]}","POLYGON((-78.38440663921702 -2.1322094355099472, -78.38439973004544 -1.8789891266412109, -78.29452026995456 -1.8789891266412109, -78.29451336078299 -2.1322094355099472, -78.38440663921702 -2.1322094355099472))" +44,Sangay_11,29/10/2018,29/10/2018 23:59,S2A,"(-2.0056, -78.33946)",eruption,[0],[1],"POLYGON ((-78.37990980667401 -2.0462956095761173, -78.37990780795508 -1.9649033646495069, -78.29901219204493 -1.9649033646495064, -78.299010193326 -2.0462956095761173, -78.37990980667401 -2.0462956095761173))","['S2A_OPER_MSI_L0__GR_SGS__20181029T185048_S20181029T154335_D08_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20181029T185048_S20181029T154339_D08_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20181029T185048_S20181029T154339_D09_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20181029T185048_S20181029T154342_D08_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20181029T185048_S20181029T154342_D09_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20181029T185048_S20181029T154346_D09_N02.06']","['S2A_MSIL1C_20181029T153621_N0206_R068_T17MQT_20181029T191436', 'S2A_MSIL1C_20181029T153621_N0206_R068_T17MRU_20181029T191436', 'S2A_MSIL1C_20181029T153621_N0206_R068_T17MQU_20181029T191436', 'S2A_MSIL1C_20181029T153621_N0206_R068_T17MRT_20181029T191436']","{0: [[[957, 1012], [963, 1010], [965, 1016], [959, 1017]]]}","{0: [[[957, 1012], [963, 1010], [965, 1016], [959, 1017], [957, 1012]]]}","POLYGON((-78.38440663921702 -2.1322094355099472, -78.38439973004544 -1.8789891266412109, -78.29452026995456 -1.8789891266412109, -78.29451336078299 -2.1322094355099472, -78.38440663921702 -2.1322094355099472))" +45,Sangay_12,13/11/2018,13/11/2018 23:59,S2B,"(-2.0056, -78.33946)",eruption,[0],[1],"POLYGON ((-78.37990980667401 -2.0462956095761173, -78.37990780795508 -1.9649033646495069, -78.29901219204493 -1.9649033646495064, -78.299010193326 -2.0462956095761173, -78.37990980667401 -2.0462956095761173))","['S2B_OPER_MSI_L0__GR_SGS__20181113T184848_S20181113T154336_D08_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181113T184848_S20181113T154340_D08_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181113T184848_S20181113T154340_D09_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181113T184848_S20181113T154343_D08_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181113T184848_S20181113T154343_D09_N02.07', 'S2B_OPER_MSI_L0__GR_SGS__20181113T184848_S20181113T154347_D09_N02.07']","['S2B_MSIL1C_20181113T153619_N0207_R068_T17MQT_20181113T190334', 'S2B_MSIL1C_20181113T153619_N0207_R068_T17MQU_20181113T190334', 'S2B_MSIL1C_20181113T153619_N0207_R068_T17MRU_20181113T190334', 'S2B_MSIL1C_20181113T153619_N0207_R068_T17MRT_20181113T190334']","{0: [[[988, 1016], [996, 1014], [997, 1021], [989, 1022]], [[1001, 1017], [1015, 1014], [1017, 1024], [1003, 1027]], [[1019, 1023], [1027, 1021], [1028, 1026], [1020, 1027]]]}","{0: [[[[988, 1016], [996, 1014], [997, 1021], [989, 1022], [988, 1016]], [[1001, 1017], [1015, 1014], [1017, 1024], [1003, 1027], [1001, 1017]], [[1019, 1023], [1027, 1021], [1028, 1026], [1020, 1027], [1019, 1023]]]]}","POLYGON((-78.38440663921702 -2.1322094355099472, -78.38439973004544 -1.8789891266412109, -78.29452026995456 -1.8789891266412109, -78.29451336078299 -2.1322094355099472, -78.38440663921702 -2.1322094355099472))" +46,Sangay_31,19/09/2017,19/09/2017 23:59,S2B,"(-2.005515381, -78.33945337)",eruption,[0],[1],"POLYGON ((-78.37990317455385 -2.0462109906399903, -78.37990117591941 -1.964818745628943, -78.29900556408059 -1.964818745628943, -78.29900356544616 -2.0462109906399903, -78.37990317455385 -2.0462109906399903))","['S2B_OPER_MSI_L0__GR_SGS__20170919T203034_S20170919T154327_D08_N02.05', 'S2B_OPER_MSI_L0__GR_SGS__20170919T203034_S20170919T154330_D08_N02.05', 'S2B_OPER_MSI_L0__GR_SGS__20170919T203034_S20170919T154334_D08_N02.05', 'S2B_OPER_MSI_L0__GR_SGS__20170919T203034_S20170919T154334_D09_N02.05', 'S2B_OPER_MSI_L0__GR_SGS__20170919T203034_S20170919T154338_D09_N02.05']","['S2B_MSIL1C_20170919T154229_N0205_R068_T17MQU_20170919T154233', 'S2B_MSIL1C_20170919T154229_N0205_R068_T17MRT_20170919T154233', 'S2B_MSIL1C_20170919T154229_N0205_R068_T17MQT_20170919T154233', 'S2B_MSIL1C_20170919T154229_N0205_R068_T17MRU_20170919T154233']","{0: [[[905, 1112], [912, 1111], [914, 1117], [907, 1119]]]}","{0: [[[905, 1112], [912, 1111], [914, 1117], [907, 1119], [905, 1112]]]}","POLYGON((-78.38440000676215 -2.1321248166716384, -78.38439309788268 -1.8789045075402095, -78.29451364211732 -1.8789045075402095, -78.29450673323785 -2.1321248166716384, -78.38440000676215 -2.1321248166716384))" +47,Santa_Maria_00,16/02/2021,16/02/2021 23:59,S2A,"(14.73846505, -91.57296197)",eruption,"[0, 1, 2]","[1, 2, 1]","POLYGON ((-91.61474467653669 14.697791029671274, -91.61476018579714 14.779131380867003, -91.53116375420285 14.779131380867002, -91.5311792634633 14.697791029671274, -91.61474467653669 14.697791029671274))","['S2A_OPER_MSI_L0__GR_VGS2_20210216T201226_S20210216T164927_D11_N02.09', 'S2A_OPER_MSI_L0__GR_VGS2_20210216T201226_S20210216T164931_D11_N02.09', 'S2A_OPER_MSI_L0__GR_VGS2_20210216T201226_S20210216T164934_D11_N02.09']",['S2A_MSIL1C_20210216T163341_N0209_R083_T15PXS_20210216T201723'],"{0: [[[1257, 164], [1262, 163], [1263, 166], [1258, 168]]], 1: [[[754, 101], [763, 99], [764, 102], [755, 105]], [[84, 948], [90, 947], [91, 951], [85, 952]], [[1045, 842], [1049, 841], [1050, 846], [1046, 847]], [[1035, 856], [1048, 852], [1051, 864], [1037, 867]]], 2: [[[355, 509], [354, 506], [360, 504], [361, 508]], [[455, 519], [454, 516], [460, 514], [461, 518]], [[656, 249], [655, 246], [661, 244], [662, 248]]]}","{0: [[[1151, 164], [1151, 163], [1151, 166], [1151, 168]]], 1: [[[754, 101], [763, 99], [764, 102], [755, 105]], [[84, 948], [90, 947], [91, 951], [85, 952]], [[1045, 842], [1049, 841], [1050, 846], [1046, 847]], [[1035, 856], [1048, 852], [1051, 864], [1037, 867]]], 2: [[[355, 509], [354, 506], [360, 504], [361, 508]], [[455, 519], [454, 516], [460, 514], [461, 518]], [[656, 249], [655, 246], [661, 244], [662, 248]]]}","POLYGON((-91.61936909053989 14.611930270254309, -91.61942270296655 14.864989131464794, -91.52650123703344 14.864989131464794, -91.5265548494601 14.611930270254309, -91.61936909053989 14.611930270254309))" +48,Stromboli_01,07/07/2019,07/07/2019 23:59,S2A,"(38.79328, 15.21025)",eruption,[2],[4],"POLYGON ((15.158482487395217 38.75273206291604, 15.158423813696526 38.833804695993265, 15.262076186303474 38.83380469599327, 15.262017512604784 38.75273206291604, 15.158482487395217 38.75273206291604))","['S2A_OPER_MSI_L0__GR_EPAE_20190707T104720_S20190707T095957_D09_N02.07', 'S2A_OPER_MSI_L0__GR_EPAE_20190707T104720_S20190707T095957_D10_N02.07', 'S2A_OPER_MSI_L0__GR_EPAE_20190707T104720_S20190707T100000_D09_N02.07', 'S2A_OPER_MSI_L0__GR_EPAE_20190707T104720_S20190707T100000_D10_N02.07', 'S2A_OPER_MSI_L0__GR_EPAE_20190707T104720_S20190707T100004_D09_N02.07']","['S2A_MSIL1C_20190707T095031_N0207_R079_T33SWC_20190707T110339', 'S2A_MSIL1C_20190707T095031_N0207_R079_T33SWD_20190707T110339']","{2: [[[891, 1037], [909, 1032], [914, 1048], [895, 1053]]]}","{2: [[[891, 1037], [909, 1032], [914, 1048], [895, 1053], [891, 1037]]]}","POLYGON((15.152799115154002 38.667151485678914, 15.152596291366534 38.91937744019655, 15.267903708633467 38.919377440196556, 15.267700884845999 38.667151485678914, 15.152799115154002 38.667151485678914))" +49,Stromboli_02,08/01/2019,08/01/2019 23:59,S2A,"(38.79449, 15.21163)",eruption,[2],[4],"POLYGON ((15.159861613432247 38.75394207083945, 15.159802936208022 38.83501468708071, 15.26345706379198 38.835014687080715, 15.263398386567752 38.75394207083945, 15.159861613432247 38.75394207083945))","['S2A_OPER_MSI_L0__GR_MTI__20190108T100818_S20190108T095947_D09_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190108T100818_S20190108T095947_D10_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190108T100818_S20190108T095951_D09_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190108T100818_S20190108T095951_D10_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190108T100818_S20190108T095954_D09_N02.07']","['S2A_MSIL1C_20190108T095401_N0207_R079_T33SWD_20190108T102652', 'S2A_MSIL1C_20190108T095401_N0207_R079_T33SWC_20190108T102652']","{2: [[[865, 1017], [874, 1015], [877, 1026], [868, 1029]]]}","{2: [[[865, 1017], [874, 1015], [877, 1026], [868, 1029], [865, 1017]]]}","POLYGON((15.154178148201208 38.66836151124722, 15.153975312226583 38.920587413385604, 15.269284687773416 38.920587413385604, 15.269081851798791 38.66836151124722, 15.154178148201208 38.66836151124722))" +50,Telica_00,26/08/2021,26/08/2021 23:59,S2A,"(12.60482658, -86.84017166)",eruption,[1],[2],"POLYGON ((-86.8815810691675 12.564146147141257, -86.88159413532141 12.645500472761873, -86.79874918467858 12.645500472761873, -86.7987622508325 12.564146147141257, -86.8815810691675 12.564146147141257))","['S2A_OPER_MSI_L0__GR_VGS2_20210826T211801_S20210826T162000_D01_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210826T211801_S20210826T162004_D01_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210826T211801_S20210826T162008_D01_N03.01']","['S2A_MSIL1C_20210826T155911_N0301_R097_T16PEU_20210826T212655', 'S2A_MSIL1C_20210826T155911_N0301_R097_T16PEV_20210826T212655']","{1: [[[452, 568], [456, 568], [457, 572], [453, 573]]]}","{1: [[[452, 568], [456, 568], [457, 572], [453, 573], [452, 568]]]}","POLYGON((-86.88616686658177 12.47827085254446, -86.88621203367174 12.731373189890121, -86.79413128632825 12.731373189890121, -86.79417645341822 12.47827085254446, -86.88616686658177 12.47827085254446))" +51,Telica_02,20/09/2021,20/09/2021 23:59,S2B,"(12.6049941, -86.84)",eruption,[1],[2],"POLYGON ((-86.88140943597885 12.56431366760535, -86.88142250232059 12.645667992208267, -86.79857749767943 12.645667992208269, -86.79859056402115 12.56431366760535, -86.88140943597885 12.56431366760535))","['S2B_OPER_MSI_L0__GR_VGS4_20210920T204509_S20210920T161955_D01_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210920T204509_S20210920T161958_D01_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210920T204509_S20210920T162002_D01_N03.01']","['S2B_MSIL1C_20210920T155839_N0301_R097_T16PEV_20210920T204944', 'S2B_MSIL1C_20210920T155839_N0301_R097_T16PEU_20210920T204944']","{1: [[[82, 723], [86, 723], [87, 726], [83, 726]], [[459, 962], [463, 961], [465, 967], [460, 968]]]}","{1: [[[[82, 723], [86, 723], [87, 726], [83, 726], [82, 723]], [[459, 962], [463, 961], [465, 967], [460, 968], [459, 962]]]]}","POLYGON((-86.88599523615221 12.478438374065826, -86.88604040389141 12.731540708245301, -86.79395959610859 12.731540708245303, -86.7940047638478 12.478438374065826, -86.88599523615221 12.478438374065826))" +52,Tinakula_00,02/01/2019,02/01/2019 23:59,S2A,"(-10.38515513, 165.8022834)",eruption,[1],[2],"POLYGON ((165.76118511278983 -10.425835792605215, 165.76119573835825 -10.34446910467836, 165.84337106164173 -10.34446910467836, 165.84338168721015 -10.425835792605215, 165.76118511278983 -10.425835792605215))","['S2A_OPER_MSI_L0__GR_EPAE_20190103T002556_S20190102T231909_D05_N02.07', 'S2A_OPER_MSI_L0__GR_EPAE_20190103T002556_S20190102T231912_D05_N02.07', 'S2A_OPER_MSI_L0__GR_EPAE_20190103T002556_S20190102T231916_D05_N02.07']",['S2A_MSIL1C_20190102T231851_N0207_R001_T58LEP_20190103T003127'],"{1: [[[698, 873], [704, 872], [706, 876], [700, 878]]]}","{1: [[[698, 873], [704, 872], [706, 876], [700, 878], [698, 873]]]}","POLYGON((165.75660610156083 -10.511721784235704, 165.75664283203065 -10.2585809862604, 165.84792396796934 -10.2585809862604, 165.84796069843915 -10.511721784235704, 165.75660610156083 -10.511721784235704))" +53,Tinakula_01,28/10/2021,28/10/2021 23:59,S2A,"(-10.38515513, 165.8022834)",eruption,[1],[2],"POLYGON ((165.76118511278983 -10.425835792605215, 165.76119573835825 -10.34446910467836, 165.84337106164173 -10.34446910467836, 165.84338168721015 -10.425835792605215, 165.76118511278983 -10.425835792605215))","['S2A_OPER_MSI_L0__GR_VGS4_20211029T003404_S20211028T231919_D05_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20211029T003404_S20211028T231922_D05_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20211029T003404_S20211028T231926_D05_N03.01']",['S2A_MSIL1C_20211028T231901_N0301_R001_T58LEP_20211029T003704'],"{1: [[[719, 1023], [724, 1022], [725, 1026], [720, 1027]], [[738, 1039], [743, 1037], [745, 1042], [739, 1043]]]}","{1: [[[[719, 1023], [724, 1022], [725, 1026], [720, 1027], [719, 1023]], [[738, 1039], [743, 1037], [745, 1042], [739, 1043], [738, 1039]]]]}","POLYGON((165.75660610156083 -10.511721784235704, 165.75664283203065 -10.2585809862604, 165.84792396796934 -10.2585809862604, 165.84796069843915 -10.511721784235704, 165.75660610156083 -10.511721784235704))" +54,Tinakula_02,22/12/2021,22/12/2021 23:59,S2B,"(-10.3850707, 165.8021117)",eruption,[1],[2],"POLYGON ((165.76101342386096 -10.42575136284098, 165.76102404933826 -10.344384674487062, 165.84319935066176 -10.344384674487063, 165.84320997613906 -10.42575136284098, 165.76101342386096 -10.42575136284098))","['S2B_OPER_MSI_L0__GR_VGS4_20211223T001939_S20211222T231909_D05_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20211223T001939_S20211222T231912_D05_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20211223T001939_S20211222T231916_D05_N03.01']",['S2B_MSIL1C_20211222T231849_N0301_R001_T58LEP_20211223T002412'],"{1: [[[714, 1100], [723, 1099], [724, 1104], [715, 1106]]]}","{1: [[[714, 1100], [723, 1099], [724, 1104], [715, 1106], [714, 1100]]]}","POLYGON((165.75643441396915 -10.51163735493085, 165.7564711441239 -10.2584965556269, 165.84775225587612 -10.2584965556269, 165.84778898603088 -10.51163735493085, 165.75643441396915 -10.51163735493085))" +55,Nyamulagira_03,28/04/2017,28/04/2017 23:59,S2A,"(-1.409887617, 29.2053215)",eruption,"[0, 2, 5]","[1, 4, 4]","POLYGON ((29.164884443444084 -1.450583632115864, 29.16488584777453 -1.3691908809240994, 29.24575715222547 -1.3691908809240994, 29.245758556555916 -1.450583632115864, 29.164884443444084 -1.450583632115864))","['S2A_OPER_MSI_L0__GR_MTI__20170428T114421_S20170428T083032_D04_N02.05', 'S2A_OPER_MSI_L0__GR_MTI__20170428T114421_S20170428T083035_D04_N02.05', 'S2A_OPER_MSI_L0__GR_MTI__20170428T114421_S20170428T083035_D05_N02.05', 'S2A_OPER_MSI_L0__GR_MTI__20170428T114421_S20170428T083039_D04_N02.05', 'S2A_OPER_MSI_L0__GR_MTI__20170428T114421_S20170428T083039_D05_N02.05', 'S2A_OPER_MSI_L0__GR_MTI__20170428T114421_S20170428T083042_D05_N02.05']",['S2A_MSIL1C_20170428T081011_N0205_R078_T35MQU_20170428T082529'],"{0: [[[1269, 94], [1274, 93], [1275, 98], [1270, 99]]], 2: [[[42, 713], [47, 712], [48, 718], [43, 719]]], 5: [[[356, 447], [364, 445], [366, 454], [358, 455]]]}","{0: [[[1151, 94], [1151, 93], [1151, 98], [1151, 99], [1151, 94]]], 2: [[[42, 713], [47, 712], [48, 718], [43, 719], [42, 713]]], 5: [[[356, 447], [364, 445], [366, 454], [358, 455], [356, 447]]]}","POLYGON((29.160389724845036 -1.5364980536312307, 29.160394579334515 -1.2832761697111437, 29.250248420665486 -1.2832761697111437, 29.250253275154964 -1.5364980536312307, 29.160389724845036 -1.5364980536312307))" +56,Nyamulagira_04,27/05/2020,27/05/2020 23:59,S2B,"(-1.410574055, 29.20411987)",eruption,"[2, 5, 6]","[4, 4, None]","POLYGON ((29.163682801255348 -1.4512700696993728, 29.163684206270215 -1.3698773189894455, 29.244555533729784 -1.3698773189894455, 29.24455693874465 -1.4512700696993728, 29.163682801255348 -1.4512700696993728))","['S2B_OPER_MSI_L0__GR_EPAE_20200527T104214_S20200527T083032_D04_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200527T104214_S20200527T083035_D04_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200527T104214_S20200527T083035_D05_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200527T104214_S20200527T083039_D04_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200527T104214_S20200527T083039_D05_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200527T104214_S20200527T083043_D05_N02.09', 'S2B_OPER_MSI_L0__GR_SGS__20200527T113905_S20200527T083043_D05_N02.09']",['S2B_MSIL1C_20200527T080609_N0209_R078_T35MQU_20200527T105514'],"{2: [[[343, 41], [348, 40], [349, 46], [344, 47]], [[75, 326], [85, 325], [87, 331], [77, 333]]], 5: [[[299, 223], [331, 216], [335, 233], [303, 239]], [[314, 228], [354, 220], [370, 285], [330, 292]], [[353, 243], [358, 242], [359, 246], [354, 247]]], 6: [[[299, 51], [331, 45], [335, 61], [303, 68]], [[314, 56], [354, 48], [369, 113], [329, 121]], [[353, 71], [358, 70], [359, 74], [354, 75]]]}","{2: [[[[343, 41], [348, 40], [349, 46], [344, 47], [343, 41]], [[75, 326], [85, 325], [87, 331], [77, 333], [75, 326]]]], 5: [[[[331, 216], [299, 223], [303, 239], [316, 236], [330, 292], [370, 285], [354, 220], [332, 224], [331, 216]]]], 6: [[[[331, 45], [299, 51], [303, 68], [316, 65], [329, 121], [369, 113], [354, 48], [332, 52], [331, 45]]]]}","POLYGON((29.159188080499153 -1.5371844906356178, 29.159192937354526 -1.2839626082145834, 29.249046802645474 -1.2839626082145834, 29.249051659500847 -1.5371844906356178, 29.159188080499153 -1.5371844906356178))" +57,Nyamulagira_05,17/05/2021,17/05/2021 23:59,S2A,"(-1.41177532, 29.2044632)",eruption,[5],[4],"POLYGON ((29.1640261099112 -1.4524713339702329, 29.1640275161238 -1.3710785841040833, 29.2448988838762 -1.3710785841040833, 29.244900290088797 -1.4524713339702329, 29.1640261099112 -1.4524713339702329))","['S2A_OPER_MSI_L0__GR_VGS4_20210517T091119_S20210517T083031_D04_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210517T091119_S20210517T083034_D04_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210517T091119_S20210517T083034_D05_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210517T091119_S20210517T083038_D04_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210517T091119_S20210517T083038_D05_N03.00', 'S2A_OPER_MSI_L0__GR_VGS4_20210517T091119_S20210517T083042_D05_N03.00']",['S2A_MSIL1C_20210517T080611_N0300_R078_T35MQU_20210517T092950'],"{5: [[[285, 215], [341, 204], [358, 274], [302, 285]]]}","{5: [[[285, 215], [341, 204], [358, 274], [302, 285], [285, 215]]]}","POLYGON((29.159531385378447 -1.5383857538924204, 29.159536246374138 -1.2851638740964801, 29.24939015362586 -1.2851638740964801, 29.249395014621552 -1.5383857538924204, 29.159531385378447 -1.5383857538924204))" +58,Poas_00,01/04/2018,01/04/2018 23:59,S2A,"(10.19654, -84.23062)",eruption,"[2, 4, 5]","[4, 2, 3]","POLYGON ((-84.2716833681754 10.155853551444189, -84.27169379043758 10.237221185141383, -84.18954620956242 10.237221185141383, -84.1895566318246 10.155853551444189, -84.2716833681754 10.155853551444189))","['S2A_OPER_MSI_L0__GR_MPS__20180401T222201_S20180401T161027_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180401T222201_S20180401T161031_D03_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180401T222201_S20180401T161031_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180401T222201_S20180401T161035_D03_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180401T222201_S20180401T161035_D04_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180401T222201_S20180401T161038_D03_N02.06']","['S2A_MSIL1C_20180401T160511_N0206_R054_T16PGS_20180401T222634', 'S2A_MSIL1C_20180401T160511_N0206_R054_T16PHS_20180401T222634']","{2: [[[984, 1002], [988, 1002], [989, 1005], [985, 1006]]], 4: [[[1034, 277], [1057, 276], [1061, 286], [1038, 287]], [[1060, 280], [1066, 280], [1068, 285], [1062, 285]]], 5: [[[158, 339], [164, 337], [165, 343], [159, 344]]]}","{2: [[[984, 1002], [988, 1002], [989, 1005], [985, 1006], [984, 1002]]], 4: [[[[1034, 277], [1057, 276], [1061, 286], [1038, 287], [1034, 277]], [[1060, 280], [1066, 280], [1068, 285], [1062, 285], [1060, 280]]]], 5: [[[158, 339], [164, 337], [165, 343], [159, 344], [158, 339]]]}","POLYGON((-84.2762338133924 10.069964453899384, -84.2762698410729 10.32310819428028, -84.1849701589271 10.32310819428028, -84.18500618660761 10.069964453899384, -84.2762338133924 10.069964453899384))" +59,Piton_de_la_Fournaise_00_NE,01/01/2021,01/01/2021 23:59,S2A,"(-21.26348639, 55.70800059)",not_event,[1],,"POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2A_OPER_MSI_L0__GR_EPAE_20210101T071315_S20210101T063513_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20210101T071315_S20210101T063516_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20210101T071315_S20210101T063520_D08_N02.09', 'S2A_OPER_MSI_L0__GR_EPAE_20210101T090009_S20210101T063520_D08_N02.09']",['S2A_MSIL1C_20210101T063511_N0209_R134_T40KCB_20210101T071617'],{},[],"POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +60,Piton_de_la_Fournaise_02_NE,16/01/2021,16/01/2021 23:59,S2B,"(-21.26348639, 55.70800059)",not_event,[1],,"POLYGON ((55.6646305838023 -21.304123601587072, 55.66465438201957 -21.22283782860201, 55.75134679798043 -21.222837828602007, 55.751370596197695 -21.304123601587072, 55.6646305838023 -21.304123601587072))","['S2B_OPER_MSI_L0__GR_VGS1_20210116T074157_S20210116T063512_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS1_20210116T074157_S20210116T063515_D08_N02.09', 'S2B_OPER_MSI_L0__GR_VGS1_20210116T074157_S20210116T063519_D08_N02.09']",['S2B_MSIL1C_20210116T063509_N0209_R134_T40KCB_20210116T074438'],{},[],"POLYGON((55.65978368166315 -21.389923087800284, 55.65986594739206 -21.13703402614708, 55.75613523260793 -21.137034026147084, 55.756217498336845 -21.389923087800284, 55.65978368166315 -21.389923087800284))" +61,Poas_20_NE,07/11/2016,07/11/2016 23:59,S2A,"(10.196525, -84.230588)",not_event,[4],,"POLYGON ((-84.27165136626215 10.15583855141086, -84.27166178850817 10.237206185182606, -84.18951421149183 10.237206185182606, -84.18952463373785 10.15583855141086, -84.27165136626215 10.15583855141086))","['S2A_OPER_MSI_L0__GR_SGS__20161107T210126_S20161107T161026_D04_N02.04', 'S2A_OPER_MSI_L0__GR_SGS__20161107T210126_S20161107T161030_D03_N02.04', 'S2A_OPER_MSI_L0__GR_SGS__20161107T210126_S20161107T161030_D04_N02.04', 'S2A_OPER_MSI_L0__GR_SGS__20161107T210126_S20161107T161034_D03_N02.04', 'S2A_OPER_MSI_L0__GR_SGS__20161107T210126_S20161107T161034_D04_N02.04', 'S2A_OPER_MSI_L0__GR_SGS__20161107T210126_S20161107T161037_D03_N02.04']","['S2A_MSIL1C_20161107T160512_N0204_R054_T16PHS_20161107T160726', 'S2A_MSIL1C_20161107T160512_N0204_R054_T16PGS_20161107T160726']",{},[],"POLYGON((-84.27620181128546 10.069949453788883, -84.27623783891016 10.323093194401727, -84.18493816108983 10.323093194401729, -84.18497418871453 10.069949453788883, -84.27620181128546 10.069949453788883))" +62,Raung_10_NE,10/07/2019,10/07/2019 23:59,S2B,"(-8.116587097, 114.0563439)",not_event,[2],,"POLYGON ((114.01550928808638 -8.157273486401651, 114.01551750434399 -8.075896532636609, 114.09717029565601 -8.075896532636607, 114.09717851191363 -8.157273486401651, 114.01550928808638 -8.157273486401651))","['S2B_OPER_MSI_L0__GR_SGS__20190710T055204_S20190710T025008_D08_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190710T055204_S20190710T025012_D07_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190710T055204_S20190710T025012_D08_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190710T055204_S20190710T025016_D07_N02.08']","['S2B_MSIL1C_20190710T022559_N0208_R046_T49LHL_20190710T060021', 'S2B_MSIL1C_20190710T022559_N0208_R046_T49MHM_20190710T060021']",{},[],"POLYGON((114.01096240288634 -8.243170545461172, 114.01099080484785 -7.98999780922754, 114.10169699515215 -7.98999780922754, 114.10172539711367 -8.243170545461172, 114.01096240288634 -8.243170545461172))" +63,Raung_11_NE,20/07/2019,20/07/2019 23:59,S2B,"(-8.116587097, 114.0563439)",not_event,[3],,"POLYGON ((114.01550928808638 -8.157273486401651, 114.01551750434399 -8.075896532636609, 114.09717029565601 -8.075896532636607, 114.09717851191363 -8.157273486401651, 114.01550928808638 -8.157273486401651))","['S2B_OPER_MSI_L0__GR_SGS__20190720T055200_S20190720T025005_D08_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190720T055200_S20190720T025008_D08_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190720T055200_S20190720T025012_D07_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190720T055200_S20190720T025012_D08_N02.08', 'S2B_OPER_MSI_L0__GR_SGS__20190720T055200_S20190720T025016_D07_N02.08']","['S2B_MSIL1C_20190720T022559_N0208_R046_T49MHM_20190720T055941', 'S2B_MSIL1C_20190720T022559_N0208_R046_T49LHL_20190720T055941']",{},[],"POLYGON((114.01096240288634 -8.243170545461172, 114.01099080484785 -7.98999780922754, 114.10169699515215 -7.98999780922754, 114.10172539711367 -8.243170545461172, 114.01096240288634 -8.243170545461172))" +64,Raung_12_NE,25/07/2019,25/07/2019 23:59,S2A,"(-8.116587097, 114.0563439)",not_event,[2],,"POLYGON ((114.01550928808638 -8.157273486401651, 114.01551750434399 -8.075896532636609, 114.09717029565601 -8.075896532636607, 114.09717851191363 -8.157273486401651, 114.01550928808638 -8.157273486401651))","['S2A_OPER_MSI_L0__GR_SGS__20190725T055210_S20190725T025004_D08_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190725T055210_S20190725T025008_D07_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190725T055210_S20190725T025008_D08_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190725T055210_S20190725T025011_D07_N02.08']","['S2A_MSIL1C_20190725T022551_N0208_R046_T49MHM_20190725T055956', 'S2A_MSIL1C_20190725T022551_N0208_R046_T49LHL_20190725T055956']",{},[],"POLYGON((114.01096240288634 -8.243170545461172, 114.01099080484785 -7.98999780922754, 114.10169699515215 -7.98999780922754, 114.10172539711367 -8.243170545461172, 114.01096240288634 -8.243170545461172))" +65,Telica_00_NE,16/08/2020,16/08/2020 23:59,S2B,"(12.60482658, -86.84017166)",not_event,[1],,"POLYGON ((-86.8815810691675 12.564146147141257, -86.88159413532141 12.645500472761873, -86.79874918467858 12.645500472761873, -86.7987622508325 12.564146147141257, -86.8815810691675 12.564146147141257))","['S2B_OPER_MSI_L0__GR_VGS2_20200816T194426_S20200816T162003_D01_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200816T194426_S20200816T162006_D01_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200816T194426_S20200816T162010_D01_N02.09']","['S2B_MSIL1C_20200816T155829_N0209_R097_T16PEU_20200816T194959', 'S2B_MSIL1C_20200816T155829_N0209_R097_T16PEV_20200816T194959']",{},[],"POLYGON((-86.88616686658177 12.47827085254446, -86.88621203367174 12.731373189890121, -86.79413128632825 12.731373189890121, -86.79417645341822 12.47827085254446, -86.88616686658177 12.47827085254446))" +66,Telica_01_NE,05/09/2020,05/09/2020 23:59,S2B,"(12.60532915, -86.83982834)",not_event,[1],,"POLYGON ((-86.88123782960432 12.564648718533578, -86.88125089632169 12.646003041101002, -86.7984057836783 12.646003041101002, -86.79841885039568 12.564648718533578, -86.88123782960432 12.564648718533578))","['S2B_OPER_MSI_L0__GR_VGS2_20200905T194329_S20200905T162002_D01_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200905T194329_S20200905T162005_D01_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20200905T194329_S20200905T162009_D01_N02.09']","['S2B_MSIL1C_20200905T155829_N0209_R097_T16PEV_20200905T194819', 'S2B_MSIL1C_20200905T155829_N0209_R097_T16PEU_20200905T194819']",{},[],"POLYGON((-86.88582363529612 12.478773427108694, -86.88586880433385 12.731875754955503, -86.79378787566614 12.731875754955505, -86.79383304470387 12.478773427108694, -86.88582363529612 12.478773427108694))" +67,Ulawun_20_NE,14/08/2018,14/08/2018 23:59,S2A,"(-5.050566, 151.331341)",not_event,[0],,"POLYGON ((151.29075776473502 -5.091258161691619, 151.29076282532682 -5.00987125007796, 151.3719191746732 -5.00987125007796, 151.371924235265 -5.091258161691619, 151.29075776473502 -5.091258161691619))","['S2A_OPER_MSI_L0__GR_EPAE_20180814T013548_S20180814T001807_D02_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180814T013548_S20180814T001810_D02_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180814T013548_S20180814T001810_D03_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180814T013548_S20180814T001814_D02_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180814T013548_S20180814T001814_D03_N02.06', 'S2A_OPER_MSI_L0__GR_EPAE_20180814T013548_S20180814T001818_D03_N02.06']","['S2A_MSIL1C_20180814T001721_N0206_R116_T56MKV_20180814T014447', 'S2A_MSIL1C_20180814T001721_N0206_R116_T56MLV_20180814T014447']",{},[],"POLYGON((151.28624251421368 -5.177166045545019, 151.28626000766783 -4.923962329250444, 151.37642199233218 -4.923962329250445, 151.37643948578634 -5.177166045545019, 151.28624251421368 -5.177166045545019))" +68,France_0,21/08/2021,21/08/2021 23:59,S2A,"(43.3328, 6.4114)",fire,"[1, 2, 3]","[2, 1, 4]","POLYGON ((6.3559494608892075 43.29228207545419, 6.355875709739279 43.37329071838434, 6.466924290260722 43.37329071838434, 6.466850539110793 43.29228207545419, 6.3559494608892075 43.29228207545419))","['S2A_OPER_MSI_L0__GR_VGS2_20210817T122920_S20210817T103849_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210817T122920_S20210817T103853_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210817T122920_S20210817T103856_D08_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210817T122920_S20210817T103900_D09_N03.01', 'S2A_OPER_MSI_L0__GR_VGS2_20210817T122920_S20210817T103903_D09_N03.01']",S2A_MSIL1C_20210817T103021_N0301_R108_T31TGJ_20210817T123758,"{1: [[[723, 680], [737, 730], [788, 716], [774, 666], [723, 680]], [[710, 697], [727, 752], [778, 737], [763, 682], [710, 697]], [[696, 713], [710, 762], [767, 746], [753, 697], [696, 713]], [[808, 691], [819, 742], [883, 729], [867, 678], [808, 691]], [[555, 765], [573, 819], [645, 799], [630, 745], [555, 765]], [[679, 735], [693, 785], [748, 768], [734, 720], [679, 735]], [[788, 712], [806, 766], [874, 747], [856, 693], [788, 712]], [[820, 707], [833, 753], [884, 739], [871, 693], [820, 707]], [[822, 709], [843, 783], [916, 763], [895, 689], [822, 709]], [[681, 835], [687, 879], [735, 870], [720, 826], [681, 835]], [[1047, 749], [1061, 790], [1104, 781], [1090, 740], [1047, 749]], [[625, 873], [638, 919], [685, 906], [672, 860], [625, 873]], [[763, 897], [781, 947], [824, 933], [811, 891], [763, 897]], [[800, 893], [809, 936], [850, 922], [841, 879], [800, 893]], [[863, 932], [877, 982], [923, 969], [909, 919], [863, 932]], [[869, 940], [883, 986], [928, 977], [914, 931], [869, 940]], [[886, 951], [895, 996], [939, 982], [930, 937], [886, 951]], [[1124, 936], [1137, 977], [1183, 968], [1170, 927], [1124, 936]], [[949, 989], [958, 1034], [1000, 1021], [991, 976], [949, 989]], [[958, 994], [971, 1035], [1012, 1022], [999, 981], [958, 994]], [[986, 1008], [995, 1047], [1039, 1041], [1030, 993], [986, 1008]], [[997, 1021], [1010, 1063], [1055, 1057], [1042, 1007], [997, 1021]], [[1017, 1028], [1026, 1070], [1074, 1057], [1053, 1015], [1017, 1028]], [[1018, 1033], [1028, 1081], [1074, 1068], [1064, 1020], [1018, 1033]], [[1058, 1046], [1067, 1089], [1108, 1075], [1099, 1032], [1058, 1046]], [[1073, 1049], [1086, 1095], [1135, 1085], [1119, 1039], [1073, 1049]], [[1249, 1057], [1267, 1101], [1304, 1087], [1295, 1044], [1249, 1057]], [[1257, 1063], [1270, 1104], [1311, 1091], [1298, 1050], [1257, 1063]], [[1144, 1127], [1159, 1174], [1203, 1157], [1188, 1118], [1144, 1127]]], 2: [[[1173, 13], [1196, 26], [1236, 16], [1223, 23], [1173, 13]], [[1193, 2], [1206, 50], [1248, 29], [1235, 6], [1193, 2]]], 3: [[[80, 495], [94, 532], [137, 523], [124, 477], [80, 495]], [[82, 502], [95, 543], [136, 530], [123, 489], [82, 502]], [[37, 517], [46, 562], [87, 549], [78, 504], [37, 517]], [[40, 524], [53, 565], [94, 552], [81, 511], [40, 524]], [[25, 620], [11, 660], [30, 650], [16, 610], [25, 620]], [[69, 605], [82, 643], [120, 643], [120, 592], [69, 605]], [[87, 632], [109, 673], [149, 663], [136, 622], [87, 632]], [[148, 626], [162, 667], [205, 658], [191, 617], [148, 626]]]}","{1: [[[[710, 697], [713, 708], [696, 713], [700, 729], [679, 735], [693, 785], [748, 768], [743, 752], [767, 746], [765, 740], [778, 737], [773, 720], [788, 716], [774, 666], [723, 680], [726, 692], [710, 697]], [[867, 678], [808, 691], [811, 705], [788, 712], [806, 766], [835, 757], [843, 783], [916, 763], [895, 689], [872, 695], [867, 678]], [[850, 922], [841, 879], [802, 892], [763, 897], [781, 947], [824, 933], [823, 931], [850, 922]], [[877, 982], [881, 980], [883, 986], [892, 984], [895, 996], [939, 982], [930, 937], [917, 941], [914, 931], [912, 931], [909, 919], [863, 932], [877, 982]], [[971, 1035], [990, 1028], [995, 1047], [1004, 1045], [1010, 1063], [1023, 1061], [1028, 1081], [1063, 1071], [1067, 1089], [1082, 1083], [1086, 1095], [1135, 1085], [1119, 1039], [1101, 1042], [1099, 1032], [1068, 1042], [1064, 1020], [1056, 1022], [1053, 1015], [1044, 1017], [1042, 1007], [1033, 1009], [1030, 993], [1005, 1001], [999, 981], [992, 983], [991, 976], [949, 989], [958, 1034], [969, 1030], [971, 1035]], [[1151, 1101], [1151, 1100], [1151, 1104], [1151, 1091], [1151, 1050], [1151, 1050], [1151, 1044], [1151, 1057], [1151, 1101]], [[555, 765], [573, 819], [645, 799], [630, 745], [555, 765]], [[681, 835], [687, 879], [735, 870], [720, 826], [681, 835]], [[1047, 749], [1061, 790], [1104, 781], [1090, 740], [1047, 749]], [[625, 873], [638, 919], [685, 906], [672, 860], [625, 873]], [[1124, 936], [1137, 977], [1151, 968], [1151, 927], [1124, 936]], [[1144, 1127], [1151, 1174], [1151, 1157], [1151, 1118], [1144, 1127]]]], 2: [[[[1151, 26], [1151, 25], [1151, 50], [1151, 29], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 26]]]], 3: [[[[82, 501], [82, 502], [95, 543], [136, 530], [133, 523], [137, 523], [124, 477], [80, 495], [82, 501]], [[46, 562], [51, 560], [53, 565], [94, 552], [81, 511], [79, 511], [78, 504], [37, 517], [46, 562]], [[82, 643], [92, 643], [109, 673], [149, 663], [136, 622], [120, 625], [120, 592], [69, 605], [82, 643]], [[0, 620], [0, 660], [30, 650], [16, 610], [0, 620]], [[148, 626], [162, 667], [205, 658], [191, 617], [148, 626]]]]}","POLYGON((6.349874465957111 43.206768554623345, 6.349619522036273 43.458795425728034, 6.473180477963728 43.458795425728034, 6.47292553404289 43.206768554623345, 6.349874465957111 43.206768554623345))" +69,Greece_0,21/08/2021,21/08/2021 23:59,S2B,"(38.1095, 23.3288)",fire,[1],[2],"POLYGON ((23.277518046190874 38.068947595646534, 23.277461328482968 38.150029717094945, 23.380138671517035 38.150029717094945, 23.38008195380913 38.068947595646534, 23.277518046190874 38.068947595646534))","['S2B_OPER_MSI_L0__GR_VGS4_20210818T094740_S20210818T091954_D03_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210818T094740_S20210818T091957_D03_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210818T094740_S20210818T092001_D03_N03.01']",S2B_MSIL1C_20210818T090559_N0301_R050_T34SFH_20210818T100108,"{1: [[[878, 126], [900, 209], [1001, 189], [979, 105], [878, 126]], [[767, 154], [777, 202], [836, 190], [821, 142], [767, 154]], [[811, 188], [824, 237], [862, 224], [862, 188], [811, 188]], [[979, 179], [992, 225], [1041, 215], [1025, 169], [979, 179]], [[994, 188], [1003, 226], [1046, 226], [1034, 174], [994, 188]], [[838, 231], [850, 274], [893, 262], [881, 219], [838, 231]], [[489, 306], [498, 350], [542, 344], [533, 300], [489, 306]], [[846, 238], [859, 289], [911, 275], [898, 231], [846, 238]], [[898, 242], [911, 283], [952, 270], [939, 229], [898, 242]], [[819, 260], [831, 316], [898, 302], [882, 246], [819, 260]], [[911, 245], [925, 286], [968, 277], [954, 236], [911, 245]], [[869, 253], [883, 301], [924, 292], [919, 247], [869, 253]], [[865, 266], [874, 309], [925, 299], [910, 256], [865, 266]], [[848, 271], [861, 315], [913, 308], [900, 257], [848, 271]], [[919, 259], [933, 305], [979, 299], [965, 253], [919, 259]], [[899, 265], [912, 316], [964, 302], [951, 258], [899, 265]], [[896, 313], [905, 358], [947, 345], [938, 300], [896, 313]], [[906, 314], [919, 357], [965, 351], [952, 308], [906, 314]], [[913, 317], [927, 359], [979, 351], [974, 302], [913, 317]], [[935, 318], [949, 363], [994, 353], [988, 308], [935, 318]], [[886, 335], [898, 378], [941, 366], [929, 323], [886, 335]], [[960, 321], [975, 369], [1037, 360], [1023, 308], [960, 321]], [[969, 319], [982, 360], [1028, 351], [1015, 310], [969, 319]], [[883, 335], [889, 385], [937, 371], [928, 330], [883, 335]], [[695, 393], [717, 474], [774, 462], [752, 381], [695, 393]], [[930, 363], [939, 411], [983, 396], [974, 357], [930, 363]], [[730, 409], [743, 452], [780, 439], [780, 396], [730, 409]], [[945, 374], [959, 411], [1002, 402], [989, 356], [945, 374]], [[948, 369], [963, 420], [1017, 408], [1007, 361], [948, 369]], [[728, 415], [746, 486], [793, 473], [776, 410], [728, 415]], [[1004, 366], [1024, 441], [1112, 423], [1091, 348], [1004, 366]], [[970, 377], [984, 422], [1033, 412], [1019, 367], [970, 377]], [[709, 434], [724, 490], [774, 485], [759, 429], [709, 434]], [[626, 454], [631, 505], [684, 492], [670, 449], [626, 454]], [[697, 441], [710, 490], [748, 477], [748, 441], [697, 441]], [[624, 469], [637, 507], [681, 507], [668, 457], [624, 469]], [[740, 451], [753, 492], [798, 483], [785, 442], [740, 451]], [[1053, 423], [1069, 482], [1119, 472], [1101, 413], [1053, 423]], [[825, 467], [834, 512], [884, 512], [866, 467], [825, 467]], [[879, 471], [902, 513], [943, 504], [930, 462], [879, 471]], [[1070, 441], [1079, 487], [1120, 474], [1111, 428], [1070, 441]], [[827, 487], [833, 538], [879, 524], [873, 482], [827, 487]], [[1000, 458], [1013, 508], [1060, 495], [1047, 452], [1000, 458]], [[1070, 446], [1080, 494], [1123, 485], [1113, 437], [1070, 446]], [[894, 484], [907, 534], [953, 521], [940, 478], [894, 484]], [[1017, 462], [1031, 506], [1077, 497], [1063, 453], [1017, 462]], [[1036, 462], [1042, 506], [1091, 497], [1076, 453], [1036, 462]], [[1009, 473], [1022, 514], [1066, 500], [1053, 459], [1009, 473]], [[902, 495], [914, 550], [963, 540], [947, 482], [902, 495]], [[863, 505], [872, 548], [923, 538], [908, 495], [863, 505]], [[856, 510], [865, 549], [909, 543], [900, 495], [856, 510]], [[915, 496], [929, 537], [973, 537], [959, 484], [915, 496]], [[952, 490], [965, 533], [1012, 527], [999, 477], [952, 490]], [[1073, 462], [1085, 510], [1131, 504], [1119, 456], [1073, 462]], [[876, 506], [881, 556], [939, 542], [925, 499], [876, 506]], [[995, 487], [1010, 535], [1056, 529], [1040, 473], [995, 487]], [[949, 497], [960, 536], [1004, 536], [992, 485], [949, 497]], [[892, 517], [892, 556], [943, 550], [931, 503], [892, 517]], [[911, 513], [911, 555], [967, 546], [946, 507], [911, 513]]]}","{1: [[[[900, 209], [982, 192], [992, 225], [1002, 222], [1003, 226], [1046, 226], [1034, 174], [1027, 176], [1025, 169], [997, 175], [979, 105], [878, 126], [900, 209]], [[844, 254], [819, 260], [831, 316], [859, 310], [861, 315], [910, 308], [910, 308], [896, 313], [899, 331], [887, 334], [883, 335], [889, 385], [931, 372], [939, 411], [956, 404], [959, 411], [960, 410], [963, 420], [982, 415], [984, 422], [1017, 415], [1024, 441], [1056, 434], [1061, 453], [1048, 455], [1047, 452], [1000, 458], [1006, 483], [1001, 485], [999, 477], [952, 490], [953, 495], [949, 497], [958, 529], [946, 507], [932, 509], [931, 503], [892, 517], [892, 556], [911, 553], [911, 555], [939, 550], [943, 550], [942, 549], [967, 546], [961, 536], [1004, 536], [1002, 528], [1007, 527], [1010, 535], [1056, 529], [1049, 505], [1054, 503], [1082, 498], [1085, 510], [1131, 504], [1119, 456], [1117, 456], [1113, 437], [1112, 437], [1111, 428], [1106, 429], [1104, 424], [1112, 423], [1091, 348], [1036, 359], [1023, 308], [988, 315], [988, 308], [974, 310], [974, 302], [946, 308], [939, 309], [939, 308], [964, 302], [963, 300], [979, 299], [965, 253], [960, 253], [954, 236], [942, 238], [939, 229], [900, 241], [898, 231], [884, 232], [881, 219], [857, 225], [862, 224], [862, 188], [835, 188], [821, 142], [767, 154], [777, 202], [812, 194], [824, 237], [838, 232], [844, 254]], [[757, 401], [752, 381], [695, 393], [708, 441], [697, 441], [710, 490], [722, 485], [724, 490], [751, 487], [753, 492], [798, 483], [785, 442], [784, 442], [780, 424], [780, 396], [757, 401]], [[627, 468], [624, 469], [628, 483], [631, 505], [635, 503], [637, 507], [681, 507], [677, 493], [684, 492], [670, 449], [626, 454], [627, 468]], [[930, 462], [879, 471], [893, 497], [885, 500], [879, 501], [873, 485], [873, 482], [872, 482], [866, 467], [825, 467], [828, 486], [827, 487], [833, 538], [860, 529], [865, 549], [880, 546], [881, 556], [892, 553], [892, 556], [911, 553], [911, 555], [939, 550], [943, 550], [942, 549], [967, 546], [962, 537], [962, 537], [973, 537], [972, 536], [1004, 536], [1002, 528], [1012, 527], [999, 477], [960, 487], [959, 484], [948, 486], [947, 482], [941, 483], [940, 478], [935, 478], [930, 462]], [[901, 511], [907, 534], [910, 533], [914, 550], [963, 540], [947, 482], [941, 483], [940, 478], [935, 478], [930, 462], [879, 471], [901, 511]], [[489, 306], [498, 350], [542, 344], [533, 300], [489, 306]]]]}","POLYGON((23.271886340602776 37.98335707409415, 23.271690278327753 38.23561254835017, 23.385909721672245 38.235612548350176, 23.385713659397226 37.98335707409415, 23.271886340602776 37.98335707409415))" +70,Greece_1,21/08/2021,21/08/2021 23:59,S2A,"(36.8062, 22.4375)",fire,"[1, 4, 5]","[3, 5, 4]","POLYGON ((22.387099097230692 36.76563914579061, 22.38704591719481 36.8467391953459, 22.48795408280519 36.8467391953459, 22.487900902769308 36.76563914579061, 22.387099097230692 36.76563914579061))","['S2A_OPER_MSI_L0__GR_VGS4_20210806T101600_S20210806T093012_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210806T101600_S20210806T093015_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210806T101600_S20210806T093015_D11_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210806T101600_S20210806T093019_D10_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210806T101600_S20210806T093019_D11_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210806T101600_S20210806T093023_D11_N03.01']",S2A_MSIL1C_20210806T092031_N0301_R093_T34SFF_20210806T103112,"{1: [[[964, 2], [990, 99], [1100, 69], [1073, 27], [964, 2]], [[953, 21], [963, 70], [1017, 53], [1007, 4], [953, 21]], [[964, 29], [977, 70], [1022, 61], [1009, 20], [964, 29]], [[1076, 87], [1085, 130], [1126, 116], [1117, 73], [1076, 87]], [[833, 168], [849, 227], [906, 208], [890, 152], [833, 168]], [[1091, 113], [1108, 172], [1169, 155], [1152, 96], [1091, 113]], [[1116, 113], [1133, 173], [1193, 156], [1180, 95], [1116, 113]], [[1087, 129], [1103, 175], [1150, 165], [1137, 119], [1087, 129]], [[1129, 127], [1140, 180], [1181, 158], [1170, 114], [1129, 127]], [[1165, 117], [1179, 182], [1248, 163], [1230, 99], [1165, 117]], [[1104, 138], [1114, 187], [1161, 172], [1151, 123], [1104, 138]], [[1149, 124], [1155, 172], [1203, 157], [1197, 112], [1149, 124]], [[1164, 123], [1173, 166], [1219, 153], [1201, 109], [1164, 123]], [[1137, 137], [1162, 227], [1297, 189], [1272, 99], [1137, 137]], [[1130, 156], [1139, 200], [1186, 185], [1169, 141], [1130, 156]], [[1142, 164], [1154, 207], [1200, 194], [1188, 151], [1142, 164]], [[1145, 173], [1158, 215], [1203, 202], [1190, 160], [1145, 173]], [[1182, 163], [1193, 216], [1234, 194], [1223, 150], [1182, 163]], [[1098, 189], [1107, 235], [1151, 221], [1142, 175], [1098, 189]], [[1164, 174], [1173, 216], [1217, 202], [1199, 157], [1164, 174]], [[1174, 170], [1183, 213], [1231, 204], [1215, 161], [1174, 170]], [[1106, 191], [1115, 236], [1157, 223], [1148, 178], [1106, 191]], [[1114, 190], [1127, 232], [1172, 223], [1159, 181], [1114, 190]], [[1180, 177], [1193, 218], [1237, 204], [1224, 163], [1180, 177]], [[929, 255], [935, 301], [981, 287], [975, 241], [929, 255]], [[1190, 189], [1199, 232], [1240, 218], [1231, 175], [1190, 189]], [[1148, 217], [1157, 262], [1202, 248], [1193, 203], [1148, 217]], [[1177, 212], [1186, 255], [1227, 241], [1218, 198], [1177, 212]], [[1167, 211], [1179, 255], [1223, 255], [1211, 211], [1167, 211]], [[1195, 211], [1209, 252], [1252, 243], [1238, 202], [1195, 211]], [[1110, 245], [1119, 290], [1161, 277], [1152, 232], [1110, 245]], [[1184, 228], [1193, 273], [1235, 260], [1226, 215], [1184, 228]], [[1200, 223], [1217, 286], [1273, 270], [1256, 207], [1200, 223]], [[1257, 216], [1267, 265], [1312, 251], [1302, 202], [1257, 216]], [[960, 306], [973, 352], [1016, 340], [1003, 294], [960, 306]], [[1203, 246], [1217, 291], [1263, 285], [1248, 232], [1203, 246]], [[1177, 263], [1187, 303], [1228, 290], [1218, 241], [1177, 263]], [[1187, 255], [1201, 306], [1253, 290], [1239, 244], [1187, 255]], [[1244, 243], [1256, 286], [1299, 274], [1287, 231], [1244, 243]], [[1250, 241], [1263, 287], [1309, 274], [1296, 228], [1250, 241]], [[1138, 278], [1152, 327], [1199, 314], [1185, 262], [1138, 278]], [[1174, 268], [1188, 318], [1241, 303], [1227, 253], [1174, 268]], [[1182, 298], [1216, 423], [1340, 388], [1307, 264], [1182, 298]], [[1134, 330], [1146, 364], [1187, 364], [1175, 310], [1134, 330]], [[1202, 308], [1215, 356], [1262, 340], [1249, 295], [1202, 308]], [[1240, 299], [1253, 345], [1296, 333], [1283, 287], [1240, 299]], [[1031, 387], [1041, 436], [1094, 418], [1084, 372], [1031, 387]], [[1138, 363], [1154, 416], [1203, 402], [1189, 353], [1138, 363]], [[1180, 360], [1195, 414], [1254, 398], [1239, 343], [1180, 360]], [[1205, 355], [1217, 398], [1260, 386], [1248, 343], [1205, 355]], [[1079, 410], [1095, 467], [1183, 443], [1167, 385], [1079, 410]]], 4: [[[25, 933], [13, 974], [29, 974], [15, 919], [25, 933]], [[23, 940], [12, 987], [26, 973], [15, 926], [23, 940]], [[31, 946], [10, 1025], [79, 1000], [57, 921], [31, 946]], [[19, 1022], [9, 1060], [35, 1060], [22, 1010], [19, 1022]], [[16, 1033], [1, 1096], [56, 1079], [38, 1018], [16, 1033]], [[37, 1027], [50, 1074], [96, 1061], [83, 1014], [37, 1027]], [[43, 1035], [65, 1076], [99, 1060], [89, 1019], [43, 1035]], [[13, 1057], [0, 1105], [45, 1091], [31, 1043], [13, 1057]], [[26, 1068], [12, 1116], [37, 1102], [23, 1051], [26, 1068]], [[22, 1054], [43, 1096], [79, 1083], [70, 1041], [22, 1054]], [[32, 1052], [45, 1098], [91, 1085], [78, 1039], [32, 1052]], [[52, 1046], [66, 1092], [111, 1077], [102, 1031], [52, 1046]], [[77, 1040], [87, 1089], [128, 1067], [118, 1027], [77, 1040]], [[65, 1045], [80, 1089], [119, 1080], [113, 1036], [65, 1045]], [[78, 1052], [78, 1100], [130, 1078], [117, 1039], [78, 1052]], [[1, 1078], [29, 1193], [198, 1145], [167, 1030], [1, 1078]], [[13, 1119], [0, 1165], [46, 1152], [33, 1106], [13, 1119]], [[25, 1114], [36, 1156], [79, 1144], [65, 1092], [25, 1114]], [[2, 1135], [15, 1176], [60, 1167], [47, 1126], [2, 1135]]], 5: [[[21, 6], [0, 75], [140, 35], [117, 45], [21, 6]], [[27, 11], [12, 65], [38, 49], [23, 0], [27, 11]], [[9, 6], [0, 52], [42, 37], [33, 2], [9, 6]]]}","{1: [[[[967, 16], [953, 21], [963, 70], [975, 65], [977, 70], [981, 69], [990, 99], [1100, 69], [1073, 0], [964, 2], [967, 16]], [[1113, 184], [1098, 189], [1107, 235], [1114, 232], [1115, 236], [1129, 231], [1150, 227], [1151, 232], [1110, 245], [1119, 290], [1139, 283], [1150, 321], [1134, 330], [1145, 361], [1138, 363], [1146, 390], [1079, 410], [1095, 467], [1151, 443], [1151, 410], [1151, 405], [1151, 414], [1151, 409], [1151, 423], [1151, 388], [1151, 264], [1151, 264], [1151, 253], [1151, 251], [1151, 202], [1151, 215], [1151, 207], [1151, 211], [1151, 205], [1151, 189], [1151, 99], [1151, 109], [1151, 99], [1151, 111], [1151, 95], [1151, 102], [1151, 96], [1123, 103], [1117, 73], [1076, 87], [1085, 130], [1087, 129], [1103, 175], [1111, 173], [1113, 184]], [[1041, 436], [1082, 421], [1095, 467], [1151, 443], [1151, 385], [1091, 406], [1084, 372], [1031, 387], [1041, 436]], [[929, 255], [935, 301], [981, 287], [975, 241], [929, 255]], [[960, 306], [973, 352], [1016, 340], [1003, 294], [960, 306]], [[833, 168], [849, 227], [906, 208], [890, 152], [833, 168]]]], 4: [[[[0, 946], [0, 1019], [0, 1022], [0, 1056], [0, 1057], [0, 1062], [0, 1068], [0, 1116], [7, 1110], [8, 1113], [0, 1119], [0, 1165], [10, 1162], [15, 1176], [24, 1174], [29, 1193], [198, 1145], [167, 1030], [121, 1042], [118, 1027], [102, 1032], [102, 1031], [92, 1033], [89, 1019], [84, 1020], [83, 1014], [40, 1026], [38, 1018], [25, 1021], [23, 1015], [79, 1000], [57, 921], [18, 931], [15, 919], [0, 933], [0, 939], [0, 940], [0, 943], [0, 946]]]], 5: [[[[0, 8], [0, 11], [0, 65], [0, 62], [0, 75], [140, 35], [117, 0], [0, 0], [0, 8]]]]}","POLYGON((22.381561154215078 36.68002983451695, 22.38137732103849 36.93234108574362, 22.49362267896151 36.93234108574362, 22.493438845784922 36.68002983451695, 22.381561154215078 36.68002983451695))" +71,Greece_2,21/08/2021,21/08/2021 23:59,S2B,"(37.0356, 27.8118)",fire,"[0, 1]","[1, 2]","POLYGON ((27.761248117009025 36.99504062626496, 27.761194331579617 37.0761375363518, 27.86240566842039 37.07613753635181, 27.86235188299098 36.99504062626496, 27.761248117009025 36.99504062626496))","['S2B_OPER_MSI_L0__GR_VGS4_20210802T092858_S20210802T090001_D02_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210802T092858_S20210802T090004_D02_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210802T092858_S20210802T090008_D02_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210802T092858_S20210802T090008_D03_N03.01', 'S2B_OPER_MSI_L0__GR_VGS4_20210802T092858_S20210802T090011_D03_N03.01']",S2B_MSIL1C_20210802T084559_N0301_R107_T35SNA_20210802T093857,"{0: [[[610, 1078], [625, 1127], [676, 1116], [669, 1067], [610, 1078]], [[634, 1087], [650, 1140], [708, 1128], [694, 1079], [634, 1087]], [[663, 1093], [675, 1137], [720, 1137], [708, 1093], [663, 1093]], [[704, 1105], [718, 1155], [785, 1142], [771, 1092], [704, 1105]]], 1: [[[381, 13], [447, 279], [524, 264], [458, 1], [381, 13]], [[402, 25], [416, 74], [465, 64], [451, 20], [402, 25]], [[723, 12], [745, 24], [790, 15], [768, 21], [723, 12]], [[759, 1], [772, 49], [811, 38], [811, 1], [759, 1]], [[783, 7], [809, 105], [896, 88], [870, 9], [783, 7]], [[450, 109], [463, 161], [510, 148], [497, 104], [450, 109]], [[446, 116], [457, 155], [501, 155], [489, 104], [446, 116]], [[453, 121], [466, 173], [523, 165], [510, 113], [453, 121]], [[840, 62], [861, 148], [952, 133], [931, 47], [840, 62]], [[467, 139], [480, 184], [528, 179], [515, 129], [467, 139]], [[465, 148], [477, 192], [522, 192], [510, 148], [465, 148]], [[462, 157], [475, 207], [522, 194], [509, 151], [462, 157]], [[463, 165], [482, 212], [525, 203], [512, 165], [463, 165]], [[925, 98], [949, 197], [1045, 178], [1019, 80], [925, 98]], [[909, 105], [922, 155], [977, 148], [964, 94], [909, 105]], [[467, 185], [482, 244], [535, 237], [520, 178], [467, 185]], [[484, 195], [498, 236], [541, 227], [527, 186], [484, 195]], [[929, 123], [946, 160], [984, 160], [984, 111], [929, 123]], [[950, 134], [963, 172], [1002, 172], [1002, 122], [950, 134]], [[962, 133], [968, 184], [1015, 172], [1001, 133], [962, 133]], [[966, 134], [978, 178], [1022, 178], [1010, 134], [966, 134]], [[954, 145], [970, 209], [1023, 202], [1007, 138], [954, 145]], [[446, 241], [456, 290], [500, 284], [490, 235], [446, 241]], [[670, 210], [679, 253], [725, 244], [710, 201], [670, 210]], [[436, 254], [453, 316], [501, 306], [484, 244], [436, 254]], [[974, 158], [974, 201], [1024, 201], [1011, 158], [974, 158]], [[953, 168], [966, 209], [1007, 196], [994, 155], [953, 168]], [[412, 300], [432, 381], [499, 368], [477, 287], [412, 300]], [[970, 207], [975, 251], [1025, 245], [1011, 198], [970, 207]], [[450, 308], [463, 349], [508, 340], [495, 299], [450, 308]], [[974, 207], [987, 255], [1031, 243], [1018, 207], [974, 207]], [[983, 230], [989, 275], [1033, 266], [1027, 221], [983, 230]], [[459, 324], [472, 374], [512, 360], [503, 324], [459, 324]], [[425, 346], [440, 401], [494, 390], [479, 335], [425, 346]], [[837, 277], [846, 320], [887, 306], [878, 263], [837, 277]], [[620, 340], [630, 384], [669, 363], [659, 319], [620, 340]], [[992, 273], [1001, 318], [1043, 305], [1034, 260], [992, 273]], [[484, 384], [498, 447], [547, 442], [529, 371], [484, 384]], [[998, 304], [1014, 362], [1063, 352], [1047, 294], [998, 304]], [[990, 303], [996, 354], [1039, 341], [1033, 303], [990, 303]], [[602, 379], [616, 430], [656, 418], [651, 379], [602, 379]], [[601, 386], [606, 432], [652, 427], [647, 381], [601, 386]], [[498, 427], [515, 496], [559, 482], [545, 421], [498, 427]], [[507, 446], [522, 497], [566, 491], [558, 441], [507, 446]]]}","{0: [[[[644, 1122], [650, 1140], [674, 1134], [675, 1137], [712, 1137], [718, 1155], [785, 1142], [771, 1092], [710, 1103], [708, 1093], [698, 1093], [694, 1079], [671, 1082], [669, 1067], [610, 1078], [625, 1127], [644, 1122]]]], 1: [[[[497, 104], [489, 104], [489, 104], [484, 105], [458, 0], [381, 13], [440, 253], [436, 254], [446, 293], [412, 300], [432, 381], [434, 380], [440, 401], [485, 391], [498, 447], [502, 446], [515, 496], [521, 494], [522, 497], [566, 491], [558, 441], [549, 441], [545, 421], [541, 421], [529, 371], [491, 381], [488, 370], [499, 368], [498, 364], [512, 360], [507, 340], [508, 340], [503, 325], [503, 324], [502, 324], [497, 306], [501, 306], [495, 284], [500, 284], [496, 269], [524, 264], [517, 239], [535, 237], [532, 228], [541, 227], [527, 186], [522, 186], [520, 179], [528, 179], [515, 129], [514, 129], [510, 113], [500, 114], [497, 104]], [[792, 43], [809, 105], [848, 97], [861, 148], [917, 138], [922, 155], [938, 152], [949, 197], [961, 194], [966, 209], [969, 207], [970, 209], [970, 208], [975, 251], [985, 249], [985, 250], [989, 275], [992, 274], [998, 303], [990, 303], [996, 354], [1010, 349], [1014, 362], [1063, 352], [1047, 294], [1041, 295], [1034, 260], [1032, 260], [1029, 243], [1031, 243], [1029, 238], [1027, 221], [1023, 221], [1018, 207], [1013, 207], [1012, 203], [1023, 202], [1022, 201], [1024, 201], [1018, 183], [1045, 178], [1019, 80], [942, 94], [931, 47], [886, 54], [870, 0], [811, 1], [811, 1], [781, 1], [768, 0], [723, 0], [745, 24], [764, 20], [772, 49], [792, 43]], [[628, 379], [602, 379], [603, 385], [601, 386], [606, 432], [652, 427], [651, 419], [656, 418], [651, 379], [639, 379], [669, 363], [659, 319], [620, 340], [628, 379]], [[837, 277], [846, 320], [887, 306], [878, 263], [837, 277]], [[670, 210], [679, 253], [725, 244], [710, 201], [670, 210]]]]}","POLYGON((27.755694105555342 36.90943460533246, 27.755508179642245 37.16173608921627, 27.86809182035776 37.16173608921628, 27.86790589444466 36.90943460533246, 27.755694105555342 36.90943460533246))" +72,Latvia_0,21/07/2021,21/07/2021 23:59,S2A,"(57.3541, 24.8478)",fire,"[0, 1]","[1, 2]","POLYGON ((24.773123553641774 57.31367046757244, 24.77295928625343 57.39448487764128, 24.92264071374657 57.394484877641275, 24.922476446358225 57.31367046757244, 24.773123553641774 57.31367046757244))","['S2A_OPER_MSI_L0__GR_VGS4_20210726T103355_S20210726T095427_D12_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210726T103355_S20210726T095431_D12_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210726T103355_S20210726T095435_D12_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210727T005725_S20210726T232012_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210727T005725_S20210726T232016_D04_N03.01', 'S2A_OPER_MSI_L0__GR_VGS4_20210727T005725_S20210726T232019_D04_N03.01']",S2A_MSIL1C_20210726T095031_N0301_R079_T35VLD_20210726T103639,"{0: [[[861, 1119], [886, 1181], [969, 1147], [944, 1083], [861, 1119]]], 1: [[[873, 12], [884, 32], [931, 13], [912, 31], [873, 12]], [[879, 8], [900, 44], [975, 12], [954, 38], [879, 8]], [[924, 11], [943, 28], [985, 10], [966, 29], [924, 11]]], 3: [[[71, 5468], [121, 5468], [121, 5514], [76, 5514], [71, 5468]], [[86, 5462], [133, 5457], [133, 5504], [86, 5509], [86, 5462]], [[102, 5436], [188, 5429], [188, 5495], [102, 5502], [102, 5436]], [[641, 5159], [700, 5155], [700, 5207], [641, 5211], [641, 5159]], [[847, 5049], [893, 5049], [893, 5098], [847, 5098], [847, 5049]]], 4: [[[71, 2906], [116, 2906], [121, 2952], [71, 2952], [71, 2906]], [[300, 2814], [367, 2811], [372, 2863], [300, 2869], [300, 2814]], [[364, 2798], [409, 2798], [409, 2841], [364, 2841], [364, 2798]], [[369, 2789], [433, 2786], [438, 2835], [369, 2841], [369, 2789]], [[624, 2256], [713, 2252], [717, 2344], [627, 2348], [624, 2256]], [[630, 2250], [681, 2237], [681, 2288], [643, 2288], [630, 2250]], [[641, 2251], [693, 2246], [693, 2297], [641, 2297], [641, 2251]], [[651, 2257], [712, 2254], [715, 2334], [654, 2337], [651, 2257]], [[701, 2673], [750, 2673], [750, 2715], [701, 2720], [701, 2673]], [[710, 2671], [757, 2671], [770, 2714], [710, 2714], [710, 2671]], [[723, 2668], [774, 2663], [774, 2706], [723, 2711], [723, 2668]], [[759, 2652], [804, 2652], [804, 2698], [759, 2698], [759, 2652]], [[796, 2637], [850, 2632], [850, 2682], [796, 2682], [796, 2637]], [[817, 2631], [862, 2631], [862, 2677], [817, 2677], [817, 2631]], [[839, 2620], [896, 2620], [896, 2668], [839, 2668], [839, 2620]], [[893, 2604], [940, 2604], [940, 2649], [893, 2649], [893, 2604]], [[1232, 2479], [1285, 2474], [1285, 2523], [1232, 2523], [1232, 2479]], [[1266, 2467], [1309, 2462], [1314, 2512], [1266, 2512], [1266, 2467]]], 5: [[[598, 1594], [639, 1477], [667, 1477], [667, 1529], [598, 1594]], [[869, 859], [859, 854], [914, 703], [942, 703], [942, 753], [869, 859]], [[913, 707], [910, 706], [962, 571], [989, 571], [989, 622], [913, 707]], [[1117, 171], [1102, 164], [1169, 10], [1196, 11], [1196, 43], [1117, 171]], [[1152, 68], [1139, 61], [1203, 106], [1230, 106], [1230, 51], [1152, 68]]]}","{0: [[[861, 1119], [886, 1181], [969, 1147], [944, 1083], [861, 1119]]], 1: [[[[943, 28], [985, 10], [966, 0], [959, 0], [954, 0], [915, 0], [912, 0], [873, 0], [884, 32], [893, 28], [900, 44], [942, 26], [943, 28]]]], 3: [[[[86, 0], [86, 0], [102, 0], [102, 0], [188, 0], [188, 0], [133, 0], [133, 0], [121, 0], [121, 0], [76, 0], [71, 0], [86, 0]], [[641, 0], [700, 0], [700, 0], [641, 0], [641, 0]], [[847, 0], [893, 0], [893, 0], [847, 0], [847, 0]]]], 4: [[[[364, 0], [364, 0], [369, 0], [369, 0], [433, 0], [438, 0], [409, 0], [409, 0], [369, 0], [372, 0], [300, 0], [300, 0], [364, 0]], [[717, 0], [627, 0], [624, 0], [631, 0], [630, 0], [681, 0], [681, 0], [693, 0], [693, 0], [713, 0], [717, 0]], [[723, 0], [723, 0], [759, 0], [759, 0], [796, 0], [796, 0], [817, 0], [817, 0], [839, 0], [839, 0], [893, 0], [893, 0], [940, 0], [940, 0], [896, 0], [896, 0], [862, 0], [862, 0], [850, 0], [850, 0], [804, 0], [804, 0], [774, 0], [774, 0], [767, 0], [770, 0], [750, 0], [750, 0], [701, 0], [701, 0], [710, 0], [710, 0], [723, 0]], [[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]], [[71, 0], [116, 0], [121, 0], [71, 0], [71, 0]]]], 5: [[[[859, 0], [912, 0], [910, 0], [962, 0], [989, 0], [989, 0], [916, 0], [942, 0], [942, 0], [869, 0], [859, 0]], [[1102, 0], [1141, 0], [1139, 0], [1151, 106], [1151, 106], [1151, 51], [1151, 0], [1151, 0], [1117, 0], [1102, 0]], [[598, 0], [639, 0], [667, 0], [667, 0], [598, 0]]]]}","POLYGON((24.76501785205285 57.228360046944964, 24.76445000677203 57.47978261732845, 24.93114999322797 57.47978261732846, 24.93058214794715 57.228360046944964, 24.76501785205285 57.228360046944964))" +73,Mexico_0,21/03/2021,21/03/2021 23:59,S2B,"(25.3829, -100.4084)",fire,"[1, 2, 3, 5]","[3, 4, 5, 3]","POLYGON ((-100.45310111008253 25.342271541606948, -100.45313102949224 25.423514644218812, -100.36366897050776 25.42351464421881, -100.36369888991747 25.342271541606948, -100.45310111008253 25.342271541606948))","['S2B_OPER_MSI_L0__GR_VGS2_20210325T204518_S20210325T172643_D06_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20210325T204518_S20210325T172647_D05_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20210325T204518_S20210325T172647_D06_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20210325T204518_S20210325T172650_D05_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20210325T204518_S20210325T172650_D06_N02.09', 'S2B_OPER_MSI_L0__GR_VGS2_20210325T204518_S20210325T172654_D05_N02.09']",S2B_MSIL1C_20210325T170849_N0209_R112_T14RLP_20210325T205012,"{1: [[[1114, 97], [1128, 144], [1171, 139], [1166, 92], [1114, 97]]], 2: [[[7, 127], [4, 175], [50, 169], [38, 121], [7, 127]], [[13, 134], [3, 182], [43, 169], [28, 120], [13, 134]], [[20, 125], [34, 166], [77, 157], [63, 116], [20, 125]], [[21, 145], [12, 188], [33, 179], [18, 136], [21, 145]], [[63, 129], [77, 175], [123, 169], [109, 123], [63, 129]], [[72, 127], [85, 174], [133, 168], [120, 121], [72, 127]], [[102, 136], [113, 189], [192, 173], [177, 120], [102, 136]], [[156, 136], [169, 178], [214, 169], [201, 127], [156, 136]], [[316, 110], [330, 155], [384, 144], [370, 99], [316, 110]], [[334, 111], [352, 157], [391, 142], [382, 102], [334, 111]], [[307, 124], [324, 187], [376, 172], [363, 113], [307, 124]], [[344, 114], [357, 163], [406, 153], [391, 108], [344, 114]], [[209, 148], [218, 193], [260, 180], [251, 135], [209, 148]], [[203, 155], [218, 199], [262, 189], [256, 145], [203, 155]], [[217, 154], [226, 199], [268, 186], [259, 141], [217, 154]], [[354, 127], [363, 172], [405, 159], [396, 114], [354, 127]], [[284, 149], [284, 191], [340, 182], [319, 143], [284, 149]], [[326, 146], [338, 189], [381, 177], [369, 134], [326, 146]], [[337, 147], [351, 191], [396, 182], [382, 138], [337, 147]], [[393, 145], [406, 192], [453, 179], [440, 132], [393, 145]], [[401, 153], [414, 196], [454, 182], [454, 139], [401, 153]], [[402, 159], [412, 206], [455, 197], [445, 150], [402, 159]], [[410, 152], [423, 195], [469, 195], [456, 152], [410, 152]], [[430, 156], [440, 205], [485, 199], [475, 150], [430, 156]], [[369, 176], [375, 221], [428, 211], [414, 166], [369, 176]], [[595, 129], [608, 171], [662, 160], [649, 118], [595, 129]], [[560, 139], [576, 191], [636, 179], [620, 127], [560, 139]], [[581, 135], [594, 177], [645, 167], [632, 125], [581, 135]], [[611, 142], [624, 188], [667, 176], [654, 130], [611, 142]], [[576, 152], [585, 195], [631, 186], [616, 143], [576, 152]], [[564, 166], [577, 210], [623, 204], [610, 153], [564, 166]], [[610, 157], [624, 204], [671, 198], [657, 144], [610, 157]], [[199, 247], [208, 290], [249, 276], [240, 233], [199, 247]], [[598, 160], [611, 215], [661, 205], [645, 155], [598, 160]], [[565, 186], [579, 223], [617, 214], [617, 165], [565, 186]], [[576, 178], [589, 228], [629, 214], [620, 178], [576, 178]], [[594, 178], [603, 226], [650, 212], [638, 172], [594, 178]], [[353, 230], [366, 273], [411, 273], [398, 230], [353, 230]], [[362, 230], [367, 277], [413, 272], [408, 225], [362, 230]], [[361, 253], [370, 295], [414, 281], [396, 236], [361, 253]], [[437, 262], [452, 305], [496, 295], [487, 252], [437, 262]], [[197, 341], [209, 385], [253, 385], [241, 341], [197, 341]], [[33, 386], [45, 429], [88, 417], [76, 374], [33, 386]], [[53, 384], [68, 428], [111, 419], [96, 375], [53, 384]], [[493, 293], [507, 337], [556, 326], [550, 279], [493, 293]], [[491, 299], [497, 341], [545, 336], [539, 287], [491, 299]], [[3, 411], [10, 457], [60, 447], [46, 401], [3, 411]], [[528, 302], [538, 351], [590, 337], [576, 288], [528, 302]], [[429, 356], [438, 401], [483, 401], [474, 356], [429, 356]], [[539, 351], [549, 398], [618, 383], [608, 336], [539, 351]], [[510, 372], [525, 416], [564, 407], [558, 363], [510, 372]], [[503, 379], [521, 417], [562, 417], [551, 366], [503, 379]], [[513, 379], [527, 419], [565, 410], [565, 367], [513, 379]]], 3: [[[467, 928], [477, 976], [534, 964], [524, 916], [467, 928]], [[455, 934], [468, 976], [517, 966], [504, 924], [455, 934]], [[420, 945], [431, 998], [503, 984], [487, 931], [420, 945]], [[390, 953], [404, 997], [449, 988], [435, 944], [390, 953]], [[396, 952], [409, 993], [454, 984], [441, 943], [396, 952]], [[379, 954], [392, 996], [439, 990], [426, 948], [379, 954]], [[450, 943], [462, 986], [505, 974], [493, 931], [450, 943]], [[481, 936], [492, 990], [551, 978], [535, 928], [481, 936]], [[409, 955], [415, 999], [459, 990], [453, 946], [409, 955]], [[358, 968], [370, 1011], [420, 997], [408, 954], [358, 968]], [[526, 933], [536, 981], [598, 968], [588, 920], [526, 933]], [[504, 946], [514, 994], [571, 983], [556, 935], [504, 946]], [[364, 979], [373, 1022], [414, 1008], [405, 965], [364, 979]], [[565, 949], [574, 994], [615, 981], [606, 936], [565, 949]], [[894, 918], [912, 977], [974, 964], [956, 906], [894, 918]], [[631, 974], [643, 1017], [686, 1005], [674, 962], [631, 974]], [[587, 998], [592, 1044], [638, 1039], [633, 993], [587, 998]], [[919, 937], [934, 980], [974, 971], [968, 923], [919, 937]], [[951, 937], [968, 999], [1046, 983], [1029, 921], [951, 937]], [[1217, 898], [1227, 945], [1270, 936], [1260, 889], [1217, 898]], [[1205, 904], [1220, 947], [1265, 941], [1252, 890], [1205, 904]], [[1250, 894], [1250, 938], [1294, 926], [1294, 882], [1250, 894]], [[1171, 906], [1185, 956], [1230, 947], [1216, 906], [1171, 906]], [[1050, 943], [1064, 987], [1110, 977], [1104, 933], [1050, 943]], [[1195, 914], [1213, 960], [1252, 945], [1243, 905], [1195, 914]], [[1067, 942], [1079, 985], [1126, 972], [1114, 929], [1067, 942]], [[1115, 957], [1129, 998], [1172, 993], [1166, 944], [1115, 957]], [[1111, 955], [1123, 999], [1168, 999], [1156, 955], [1111, 955]], [[1130, 1021], [1147, 1059], [1190, 1059], [1177, 1012], [1130, 1021]], [[1114, 1053], [1123, 1096], [1169, 1083], [1151, 1039], [1114, 1053]], [[1083, 1059], [1094, 1113], [1154, 1101], [1139, 1047], [1083, 1059]], [[1080, 1067], [1093, 1115], [1136, 1102], [1123, 1067], [1080, 1067]], [[1074, 1079], [1088, 1125], [1129, 1111], [1123, 1065], [1074, 1079]], [[1134, 1069], [1144, 1116], [1196, 1105], [1186, 1058], [1134, 1069]]], 5: [[[1256, 1], [1268, 44], [1311, 32], [1299, 10], [1256, 1]], [[1219, 26], [1232, 74], [1281, 60], [1268, 16], [1219, 26]]]}","{1: [[[1114, 97], [1128, 144], [1151, 139], [1151, 92], [1114, 97]]], 2: [[[[77, 175], [84, 173], [85, 174], [109, 170], [113, 189], [168, 177], [169, 178], [208, 170], [218, 199], [225, 197], [226, 199], [248, 192], [262, 189], [261, 187], [268, 186], [259, 141], [252, 142], [251, 135], [209, 148], [210, 153], [209, 153], [201, 127], [180, 131], [177, 120], [122, 131], [120, 121], [72, 127], [72, 127], [67, 128], [63, 116], [38, 121], [38, 121], [28, 122], [28, 120], [16, 123], [0, 127], [0, 131], [0, 134], [0, 142], [0, 145], [0, 188], [33, 179], [30, 172], [37, 170], [50, 169], [48, 162], [71, 158], [77, 175]], [[400, 136], [396, 114], [393, 114], [391, 108], [383, 108], [382, 102], [371, 103], [370, 99], [316, 110], [319, 121], [307, 124], [312, 144], [284, 149], [284, 191], [323, 184], [324, 187], [336, 183], [338, 189], [349, 185], [351, 191], [370, 187], [375, 221], [428, 211], [425, 203], [439, 200], [440, 205], [485, 199], [475, 150], [456, 152], [456, 152], [454, 152], [454, 139], [442, 141], [440, 132], [402, 142], [400, 136]], [[560, 139], [567, 164], [564, 166], [569, 184], [565, 186], [579, 223], [587, 221], [589, 228], [602, 223], [603, 226], [650, 212], [648, 207], [661, 205], [659, 199], [671, 198], [665, 176], [667, 176], [654, 130], [652, 130], [649, 118], [595, 129], [595, 131], [560, 139]], [[413, 272], [408, 225], [362, 230], [353, 230], [363, 264], [370, 295], [414, 281], [410, 273], [411, 273], [410, 272], [413, 272]], [[493, 295], [494, 298], [491, 299], [497, 341], [535, 337], [538, 351], [590, 337], [576, 288], [552, 294], [550, 279], [495, 292], [487, 252], [437, 262], [452, 305], [493, 295]], [[37, 402], [0, 411], [10, 457], [60, 447], [53, 426], [66, 423], [68, 428], [111, 419], [96, 375], [77, 378], [76, 374], [33, 386], [37, 402]], [[510, 372], [511, 376], [503, 379], [521, 417], [526, 417], [527, 419], [535, 417], [562, 417], [560, 411], [565, 410], [565, 394], [618, 383], [608, 336], [539, 351], [542, 365], [510, 372]], [[199, 247], [208, 290], [249, 276], [240, 233], [199, 247]], [[197, 341], [209, 385], [253, 385], [241, 341], [197, 341]], [[429, 356], [438, 401], [483, 401], [474, 356], [429, 356]]]], 3: [[[[379, 954], [381, 961], [358, 968], [370, 1011], [370, 1010], [373, 1022], [414, 1008], [412, 999], [414, 998], [415, 999], [430, 995], [431, 998], [491, 986], [492, 990], [512, 985], [514, 994], [571, 983], [568, 974], [569, 973], [574, 994], [615, 981], [606, 936], [592, 940], [588, 920], [535, 930], [535, 928], [526, 929], [524, 916], [467, 928], [467, 931], [455, 934], [456, 937], [420, 945], [420, 946], [395, 951], [379, 954]], [[912, 977], [931, 972], [934, 980], [961, 973], [968, 999], [1046, 983], [1029, 921], [969, 933], [968, 923], [961, 924], [956, 906], [894, 918], [912, 977]], [[1151, 882], [1151, 891], [1151, 889], [1151, 890], [1151, 890], [1151, 892], [1151, 898], [1151, 900], [1151, 904], [1151, 906], [1151, 906], [1151, 956], [1151, 951], [1151, 960], [1151, 945], [1151, 942], [1151, 941], [1151, 937], [1151, 936], [1151, 932], [1151, 926], [1151, 882]], [[1100, 979], [1110, 977], [1109, 976], [1116, 974], [1123, 999], [1151, 999], [1151, 993], [1151, 993], [1151, 944], [1122, 955], [1121, 955], [1114, 929], [1090, 935], [1050, 943], [1064, 987], [1078, 983], [1079, 985], [1100, 979]], [[1117, 1051], [1083, 1059], [1084, 1067], [1080, 1067], [1082, 1076], [1074, 1079], [1088, 1125], [1129, 1111], [1128, 1106], [1141, 1103], [1144, 1116], [1151, 1105], [1151, 1059], [1151, 1059], [1151, 1012], [1130, 1021], [1139, 1043], [1117, 1051]], [[587, 998], [592, 1044], [638, 1039], [633, 993], [587, 998]], [[631, 974], [643, 1017], [686, 1005], [674, 962], [631, 974]]]], 5: [[[[1151, 17], [1151, 26], [1151, 74], [1151, 60], [1151, 41], [1151, 32], [1151, 0], [1151, 1], [1151, 17]]]]}","POLYGON((-100.45803292891284 25.256512371396852, -100.45813635442488 25.50926868010834, -100.35866364557512 25.50926868010834, -100.35876707108716 25.256512371396852, -100.45803292891284 25.256512371396852))" +74,Spain_2,20/08/2020,20/08/2020 23:59,S2B,"(40.1657, -5.6997)",fire,"[1, 2]","[2, 1]","POLYGON ((-5.752493513018769 40.12516108539187, -5.75255633980175 40.20621453001172, -5.646843660198253 40.20621453001172, -5.646906486981231 40.12516108539187, -5.752493513018769 40.12516108539187))","['S2B_OPER_MSI_L0__GR_EPAE_20200829T120848_S20200829T112009_D05_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200829T120848_S20200829T112013_D05_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200829T120848_S20200829T112016_D05_N02.09']",S2B_MSIL1C_20200829T110629_N0209_R137_T30TTK_20200829T122327,"{1: [[[357, 950], [366, 995], [411, 981], [402, 936], [357, 950]], [[364, 956], [378, 1003], [418, 991], [412, 947], [364, 956]], [[577, 921], [586, 966], [628, 953], [619, 908], [577, 921]], [[369, 966], [382, 1017], [428, 1004], [415, 960], [369, 966]], [[515, 938], [534, 1005], [631, 984], [612, 917], [515, 938]], [[583, 927], [597, 978], [669, 963], [653, 912], [583, 927]], [[239, 1016], [253, 1062], [291, 1049], [285, 1004], [239, 1016]], [[613, 973], [631, 1035], [689, 1023], [671, 957], [613, 973]], [[638, 1077], [654, 1120], [695, 1111], [686, 1068], [638, 1077]]], 2: [[[415, 24], [424, 72], [468, 57], [459, 18], [415, 24]], [[396, 43], [410, 83], [449, 83], [443, 31], [396, 43]], [[405, 48], [419, 103], [466, 97], [452, 42], [405, 48]], [[431, 52], [436, 93], [486, 93], [471, 43], [431, 52]], [[406, 72], [421, 120], [483, 107], [468, 60], [406, 72]], [[425, 70], [443, 132], [505, 119], [488, 53], [425, 70]], [[431, 89], [445, 144], [490, 129], [476, 83], [431, 89]], [[487, 85], [510, 127], [551, 118], [538, 76], [487, 85]], [[439, 98], [461, 139], [501, 129], [488, 88], [439, 98]], [[430, 113], [439, 156], [480, 142], [471, 99], [430, 113]], [[424, 121], [433, 164], [481, 155], [465, 112], [424, 121]], [[388, 152], [401, 202], [447, 189], [434, 146], [388, 152]], [[366, 159], [379, 208], [423, 196], [410, 159], [366, 159]], [[378, 163], [392, 207], [441, 197], [427, 153], [378, 163]], [[373, 169], [385, 212], [428, 200], [416, 157], [373, 169]]]}","{1: [[[[366, 995], [374, 992], [378, 1003], [378, 1002], [382, 1017], [428, 1004], [415, 960], [413, 960], [412, 947], [404, 948], [402, 936], [357, 950], [366, 995]], [[653, 912], [621, 918], [619, 908], [577, 921], [577, 924], [515, 938], [534, 1005], [617, 987], [631, 1035], [689, 1023], [671, 957], [667, 957], [653, 912]], [[638, 1077], [654, 1120], [695, 1111], [686, 1068], [638, 1077]], [[239, 1016], [253, 1062], [291, 1049], [285, 1004], [239, 1016]]]], 2: [[[[406, 71], [406, 72], [421, 120], [431, 117], [431, 119], [424, 121], [429, 146], [388, 152], [389, 159], [366, 159], [379, 208], [383, 206], [385, 212], [428, 200], [427, 199], [441, 197], [439, 191], [447, 189], [439, 162], [481, 155], [476, 143], [480, 142], [478, 134], [501, 129], [498, 120], [505, 119], [504, 116], [510, 127], [551, 118], [538, 76], [495, 83], [488, 53], [475, 56], [471, 43], [465, 44], [459, 18], [415, 24], [417, 37], [396, 43], [406, 71]]]]}","POLYGON((-5.758286035686987 40.039600618102625, -5.758503215954965 40.29176687441147, -5.640896784045036 40.29176687441147, -5.641113964313013 40.039600618102625, -5.758286035686987 40.039600618102625))" +75,Greece_3,20/08/2020,20/08/2020 23:59,S2B,"(36.7116, 22.4537)",fire,[4],[5],"POLYGON ((22.403360860905423 36.67103853618588, 22.403307928449127 36.752139878267656, 22.504092071550875 36.752139878267656, 22.50403913909458 36.67103853618588, 22.403360860905423 36.67103853618588))","['S2B_OPER_MSI_L0__GR_EPAE_20200823T100308_S20200823T092016_D02_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200823T100308_S20200823T092019_D02_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200823T100308_S20200823T092023_D01_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200823T100308_S20200823T092023_D02_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200823T100308_S20200823T092026_D01_N02.09', 'S2B_OPER_MSI_L0__GR_EPAE_20200823T100308_S20200823T092030_D01_N02.09']",S2B_MSIL1C_20200823T090559_N0209_R050_T34SFF_20200823T101613,"{4: [[[1153, 274], [1164, 330], [1223, 318], [1208, 266], [1153, 274]], [[1113, 288], [1131, 354], [1213, 340], [1199, 271], [1113, 288]], [[1228, 345], [1241, 387], [1288, 381], [1275, 339], [1228, 345]], [[1135, 368], [1142, 415], [1197, 408], [1183, 354], [1135, 368]]]}","{4: [[[[1151, 279], [1113, 288], [1131, 354], [1151, 340], [1151, 320], [1151, 318], [1151, 266], [1151, 274], [1151, 279]], [[1151, 345], [1151, 387], [1151, 381], [1151, 339], [1151, 345]], [[1135, 368], [1142, 415], [1151, 408], [1151, 354], [1135, 368]]]]}","POLYGON((22.397829491324604 36.58542787027399, 22.39764651398603 36.83774314273806, 22.509753486013974 36.83774314273807, 22.5095705086754 36.58542787027399, 22.397829491324604 36.58542787027399))" +76,Ukraine_0,20/04/2020,20/04/2020 23:59,S2B,"(51.3637, 30.0296)",fire,"[1, 4, 5]","[3, 5, 4]","POLYGON ((29.96504574591329 51.32323452826186, 29.96493191962271 51.40412956240176, 30.094268080377294 51.404129562401764, 30.094154254086707 51.32323452826186, 29.96504574591329 51.32323452826186))","['S2B_OPER_MSI_L0__GR_MTI__20200412T105641_S20200412T090553_D02_N02.09', 'S2B_OPER_MSI_L0__GR_MTI__20200412T105641_S20200412T090557_D02_N02.09', 'S2B_OPER_MSI_L0__GR_MTI__20200412T105641_S20200412T090601_D01_N02.09', 'S2B_OPER_MSI_L0__GR_MTI__20200412T105641_S20200412T090601_D02_N02.09', 'S2B_OPER_MSI_L0__GR_MTI__20200412T105641_S20200412T090604_D01_N02.09', 'S2B_OPER_MSI_L0__GR_MTI__20200412T105641_S20200412T090608_D01_N02.09']",S2B_MSIL1C_20200412T085549_N0209_R007_T35UQT_20200412T111506,"{1: [[[234, 607], [247, 648], [292, 639], [279, 598], [234, 607]], [[80, 650], [100, 716], [187, 698], [167, 632], [80, 650]], [[127, 670], [139, 704], [180, 704], [168, 650], [127, 670]], [[68, 680], [83, 736], [139, 721], [122, 669], [68, 680]], [[13, 808], [30, 862], [81, 852], [64, 798], [13, 808]], [[14, 825], [26, 868], [69, 856], [57, 813], [14, 825]], [[56, 939], [69, 987], [112, 974], [99, 939], [56, 939]], [[756, 811], [772, 862], [836, 849], [820, 798], [756, 811]], [[755, 825], [768, 867], [813, 858], [800, 816], [755, 825]], [[709, 843], [720, 882], [764, 882], [752, 831], [709, 843]], [[764, 844], [779, 893], [830, 882], [817, 837], [764, 844]], [[778, 866], [800, 904], [838, 895], [829, 849], [778, 866]]], 4: [[[1225, 485], [1240, 539], [1290, 529], [1275, 475], [1225, 485]], [[1224, 502], [1236, 545], [1279, 533], [1267, 490], [1224, 502]], [[39, 872], [11, 973], [61, 957], [34, 857], [39, 872]], [[1265, 623], [1278, 660], [1321, 660], [1308, 610], [1265, 623]], [[25, 941], [10, 990], [27, 976], [17, 927], [25, 941]], [[23, 953], [12, 1001], [35, 995], [19, 938], [23, 953]], [[10, 954], [1, 1000], [47, 986], [34, 948], [10, 954]], [[5, 960], [8, 1010], [59, 996], [45, 946], [5, 960]], [[17, 974], [10, 1024], [53, 1008], [38, 961], [17, 974]], [[6, 982], [9, 1031], [61, 1016], [48, 971], [6, 982]], [[18, 1008], [36, 1075], [93, 1063], [75, 1000], [18, 1008]], [[6, 1014], [22, 1057], [63, 1048], [54, 1005], [6, 1014]], [[24, 1035], [37, 1078], [83, 1072], [70, 1029], [24, 1035]], [[8, 1051], [12, 1089], [57, 1080], [36, 1042], [8, 1051]], [[7, 1086], [23, 1146], [91, 1128], [75, 1072], [7, 1086]], [[35, 1110], [45, 1159], [93, 1146], [79, 1097], [35, 1110]]], 5: [[[89, 894], [103, 939], [148, 930], [134, 885], [89, 894]]]}","{1: [[[[87, 675], [68, 680], [83, 736], [139, 721], [134, 708], [158, 704], [180, 704], [179, 699], [187, 698], [167, 632], [80, 650], [87, 675]], [[18, 823], [14, 825], [26, 868], [69, 856], [68, 854], [81, 852], [64, 798], [13, 808], [18, 823]], [[755, 825], [768, 867], [770, 866], [779, 893], [792, 890], [800, 904], [838, 895], [829, 850], [836, 849], [820, 798], [756, 811], [760, 823], [755, 825]], [[234, 607], [247, 648], [292, 639], [279, 598], [234, 607]], [[709, 843], [720, 882], [764, 882], [752, 831], [709, 843]], [[56, 939], [69, 987], [112, 974], [99, 939], [56, 939]]]], 4: [[[[1151, 500], [1151, 502], [1151, 545], [1151, 533], [1151, 531], [1151, 529], [1151, 475], [1151, 485], [1151, 500]], [[0, 952], [0, 953], [0, 987], [0, 1024], [5, 1020], [9, 1031], [12, 1030], [17, 1045], [0, 1051], [10, 1085], [7, 1086], [23, 1146], [41, 1141], [45, 1159], [93, 1146], [88, 1128], [91, 1128], [75, 1073], [83, 1072], [81, 1065], [93, 1063], [75, 1000], [57, 1002], [55, 996], [59, 996], [48, 959], [61, 957], [34, 857], [0, 872], [0, 939], [0, 941], [0, 952]], [[1151, 623], [1151, 660], [1151, 660], [1151, 610], [1151, 623]]]], 5: [[[89, 894], [103, 939], [148, 930], [134, 885], [89, 894]]]}","POLYGON((29.958005970506587 51.23783994144788, 29.957612493216555 51.48951335420963, 30.10158750678344 51.489513354209635, 30.10119402949341 51.23783994144788, 29.958005970506587 51.23783994144788))" +77,Australia_1,19/11/2019,19/11/2019 23:59,S2A,"(-29.9192, 152.3357)",fire,"[0, 1, 2]","[1, 2, 1]","POLYGON ((152.28908003213803 -29.959786636981313, 152.28911784210632 -29.878596644415072, 152.38228215789368 -29.878596644415072, 152.38231996786197 -29.959786636981313, 152.28908003213803 -29.959786636981313))","['S2A_OPER_MSI_L0__GR_EPAE_20191108T010402_S20191107T235504_D01_N02.08', 'S2A_OPER_MSI_L0__GR_EPAE_20191108T010402_S20191107T235508_D01_N02.08', 'S2A_OPER_MSI_L0__GR_EPAE_20191108T010402_S20191107T235511_D01_N02.08']",S2A_MSIL1C_20191107T235251_N0208_R130_T56JMM_20191108T011214,"{0: [[[30, 13], [12, 78], [39, 67], [21, 2], [30, 13]], [[579, 40], [593, 85], [640, 79], [626, 34], [579, 40]], [[589, 45], [601, 88], [644, 76], [632, 33], [589, 45]], [[574, 47], [584, 96], [630, 90], [620, 41], [574, 47]], [[577, 61], [586, 106], [637, 106], [619, 61], [577, 61]], [[573, 71], [589, 123], [636, 117], [620, 65], [573, 71]], [[556, 283], [556, 326], [603, 321], [603, 278], [556, 283]], [[285, 354], [295, 402], [342, 393], [327, 345], [285, 354]], [[166, 512], [179, 553], [224, 544], [211, 503], [166, 512]], [[803, 415], [815, 458], [858, 446], [846, 403], [803, 415]]], 1: [[[27, 47], [11, 115], [84, 95], [66, 27], [27, 47]], [[71, 31], [83, 87], [155, 72], [143, 16], [71, 31]], [[62, 32], [75, 75], [121, 69], [108, 26], [62, 32]], [[65, 42], [74, 85], [120, 76], [105, 33], [65, 42]], [[94, 42], [94, 85], [145, 76], [132, 36], [94, 42]], [[11, 67], [23, 110], [66, 98], [54, 55], [11, 67]], [[28, 155], [12, 208], [33, 202], [17, 149], [28, 155]], [[18, 166], [2, 225], [74, 209], [58, 150], [18, 166]], [[28, 206], [12, 257], [36, 247], [22, 196], [28, 206]], [[6, 201], [6, 243], [55, 233], [42, 191], [6, 201]], [[16, 200], [30, 245], [75, 236], [61, 191], [16, 200]], [[22, 233], [13, 276], [26, 262], [17, 219], [22, 233]], [[409, 162], [427, 235], [502, 220], [482, 147], [409, 162]], [[404, 170], [417, 212], [462, 203], [449, 161], [404, 170]], [[394, 172], [412, 217], [454, 217], [445, 172], [394, 172]], [[12, 266], [0, 308], [51, 299], [28, 257], [12, 266]], [[428, 193], [444, 236], [490, 226], [481, 183], [428, 193]], [[457, 187], [470, 229], [515, 220], [502, 178], [457, 187]], [[467, 190], [473, 235], [527, 225], [513, 180], [467, 190]], [[471, 200], [490, 264], [543, 257], [524, 193], [471, 200]], [[6, 319], [15, 364], [60, 364], [51, 319], [6, 319]], [[446, 237], [474, 340], [556, 323], [529, 220], [446, 237]], [[10, 331], [16, 376], [75, 365], [61, 320], [10, 331]], [[29, 334], [38, 377], [79, 363], [70, 320], [29, 334]], [[53, 333], [67, 380], [107, 380], [102, 333], [53, 333]], [[52, 343], [65, 386], [111, 380], [98, 337], [52, 343]], [[69, 352], [75, 398], [122, 384], [116, 338], [69, 352]], [[61, 354], [73, 397], [116, 385], [104, 342], [61, 354]], [[55, 361], [65, 409], [116, 399], [101, 351], [55, 361]], [[465, 301], [483, 367], [539, 355], [521, 289], [465, 301]], [[437, 338], [446, 381], [489, 372], [480, 329], [437, 338]], [[411, 357], [428, 413], [486, 401], [474, 345], [411, 357]], [[385, 381], [406, 459], [530, 433], [509, 355], [385, 381]], [[434, 381], [450, 428], [491, 419], [481, 372], [434, 381]], [[356, 568], [391, 701], [478, 683], [443, 550], [356, 568]], [[709, 500], [729, 575], [905, 539], [884, 464], [709, 500]], [[426, 560], [449, 647], [552, 626], [528, 539], [426, 560]], [[396, 577], [409, 619], [454, 610], [441, 568], [396, 577]], [[415, 571], [420, 617], [466, 612], [461, 566], [415, 571]], [[734, 513], [743, 557], [792, 542], [774, 499], [734, 513]], [[708, 522], [722, 568], [760, 555], [754, 510], [708, 522]], [[417, 583], [426, 628], [467, 615], [458, 570], [417, 583]], [[504, 562], [513, 606], [558, 600], [549, 556], [504, 562]], [[511, 570], [525, 616], [566, 602], [560, 556], [511, 570]], [[780, 517], [789, 562], [831, 549], [822, 504], [780, 517]], [[514, 573], [535, 657], [617, 641], [596, 557], [514, 573]], [[686, 538], [706, 604], [777, 589], [759, 523], [686, 538]], [[867, 501], [891, 590], [1072, 553], [1048, 464], [867, 501]], [[784, 520], [798, 565], [840, 559], [835, 514], [784, 520]], [[388, 606], [394, 650], [442, 641], [427, 597], [388, 606]], [[443, 597], [457, 643], [503, 634], [487, 588], [443, 597]], [[637, 559], [654, 623], [747, 604], [730, 540], [637, 559]], [[558, 576], [575, 638], [653, 622], [636, 560], [558, 576]], [[151, 660], [183, 780], [355, 745], [323, 625], [151, 660]], [[380, 614], [394, 655], [437, 646], [423, 605], [380, 614]], [[451, 602], [463, 645], [506, 633], [494, 590], [451, 602]], [[456, 602], [468, 645], [511, 633], [499, 590], [456, 602]], [[388, 622], [388, 666], [438, 653], [424, 613], [388, 622]], [[510, 597], [520, 646], [565, 632], [555, 583], [510, 597]], [[782, 542], [791, 587], [833, 574], [824, 529], [782, 542]], [[1012, 495], [1037, 590], [1154, 566], [1129, 471], [1012, 495]], [[490, 605], [499, 648], [540, 634], [531, 591], [490, 605]], [[681, 565], [687, 611], [733, 599], [720, 552], [681, 565]], [[780, 547], [794, 588], [837, 579], [823, 538], [780, 547]], [[513, 605], [527, 651], [573, 645], [559, 599], [513, 605]], [[620, 585], [635, 634], [690, 622], [683, 573], [620, 585]], [[231, 670], [240, 714], [283, 699], [274, 655], [231, 670]], [[794, 561], [810, 602], [847, 581], [831, 540], [794, 561]], [[246, 668], [259, 710], [304, 701], [291, 659], [246, 668]], [[253, 668], [265, 711], [308, 699], [296, 656], [253, 668]], [[617, 593], [631, 634], [674, 625], [660, 584], [617, 593]], [[239, 675], [252, 716], [293, 703], [280, 662], [239, 675]], [[790, 560], [803, 602], [848, 593], [835, 551], [790, 560]], [[741, 573], [754, 616], [791, 603], [791, 560], [741, 573]], [[932, 531], [944, 579], [992, 573], [980, 525], [932, 531]], [[289, 668], [302, 713], [344, 700], [331, 655], [289, 668]], [[300, 669], [312, 712], [359, 699], [347, 656], [300, 669]], [[345, 660], [358, 706], [405, 693], [392, 647], [345, 660]], [[680, 588], [689, 632], [733, 626], [724, 582], [680, 588]], [[507, 623], [519, 667], [563, 667], [551, 623], [507, 623]], [[703, 589], [712, 634], [754, 621], [745, 576], [703, 589]], [[558, 619], [572, 669], [619, 656], [605, 606], [558, 619]], [[752, 578], [766, 619], [809, 610], [795, 569], [752, 578]], [[930, 539], [948, 594], [983, 573], [977, 539], [930, 539]], [[397, 659], [406, 702], [447, 688], [438, 645], [397, 659]], [[427, 651], [441, 697], [479, 684], [473, 639], [427, 651]], [[738, 586], [757, 654], [830, 639], [811, 571], [738, 586]], [[744, 585], [757, 627], [802, 618], [789, 576], [744, 585]], [[954, 544], [965, 583], [1009, 583], [997, 532], [954, 544]], [[316, 675], [330, 725], [394, 712], [380, 662], [316, 675]], [[342, 672], [355, 719], [401, 706], [388, 659], [342, 672]], [[757, 584], [766, 628], [810, 622], [801, 578], [757, 584]], [[759, 588], [777, 632], [814, 618], [805, 575], [759, 588]], [[586, 623], [595, 666], [643, 657], [627, 614], [586, 623]], [[730, 591], [743, 633], [790, 627], [777, 585], [730, 591]], [[588, 625], [606, 669], [643, 655], [634, 612], [588, 625]], [[677, 601], [686, 646], [737, 646], [719, 601], [677, 601]], [[361, 671], [376, 724], [443, 710], [428, 657], [361, 671]], [[682, 606], [722, 760], [940, 715], [900, 562], [682, 606]], [[770, 591], [776, 636], [822, 624], [808, 578], [770, 591]], [[315, 686], [329, 727], [372, 718], [358, 677], [315, 686]], [[633, 621], [648, 670], [705, 659], [690, 610], [633, 621]], [[564, 638], [576, 681], [623, 668], [611, 625], [564, 638]], [[587, 637], [596, 679], [640, 665], [622, 620], [587, 637]], [[961, 556], [1026, 806], [1295, 751], [1230, 500], [961, 556]], [[455, 665], [455, 706], [503, 693], [487, 647], [455, 665]], [[1012, 547], [1024, 590], [1067, 578], [1055, 535], [1012, 547]], [[770, 592], [784, 638], [823, 638], [818, 592], [770, 592]], [[612, 626], [621, 671], [666, 671], [657, 626], [612, 626]], [[686, 616], [705, 687], [753, 682], [733, 603], [686, 616]], [[565, 643], [582, 687], [621, 672], [612, 628], [565, 643]], [[660, 617], [672, 661], [715, 661], [703, 617], [660, 617]], [[370, 683], [382, 726], [425, 714], [413, 671], [370, 683]], [[514, 653], [529, 696], [569, 687], [560, 644], [514, 653]], [[675, 616], [687, 660], [731, 660], [719, 616], [675, 616]], [[269, 701], [282, 749], [332, 744], [319, 696], [269, 701]], [[650, 627], [666, 683], [727, 670], [711, 614], [650, 627]], [[393, 680], [408, 723], [448, 714], [439, 671], [393, 680]], [[630, 633], [640, 680], [687, 670], [677, 623], [630, 633]], [[1033, 548], [1046, 591], [1092, 585], [1079, 542], [1033, 548]], [[481, 667], [490, 710], [531, 696], [522, 653], [481, 667]], [[900, 576], [914, 622], [960, 616], [946, 570], [900, 576]], [[676, 623], [689, 666], [734, 666], [721, 623], [676, 623]], [[427, 679], [442, 722], [482, 713], [473, 670], [427, 679]], [[283, 710], [288, 756], [335, 751], [330, 705], [283, 710]], [[674, 632], [689, 679], [737, 672], [727, 622], [674, 632]], [[985, 571], [994, 614], [1035, 600], [1026, 557], [985, 571]], [[391, 693], [407, 740], [451, 730], [441, 683], [391, 693]], [[912, 588], [918, 632], [966, 623], [951, 579], [912, 588]], [[371, 699], [386, 748], [431, 739], [416, 690], [371, 699]], [[553, 665], [553, 708], [601, 695], [588, 652], [553, 665]], [[354, 704], [375, 781], [548, 746], [527, 669], [354, 704]], [[149, 748], [169, 821], [234, 808], [214, 735], [149, 748]], [[545, 671], [556, 722], [603, 709], [587, 656], [545, 671]], [[361, 708], [373, 751], [416, 739], [404, 696], [361, 708]], [[404, 694], [413, 739], [463, 739], [445, 694], [404, 694]], [[977, 580], [977, 623], [1028, 614], [1015, 574], [977, 580]], [[625, 655], [637, 698], [683, 685], [671, 642], [625, 655]], [[640, 653], [662, 735], [744, 718], [722, 636], [640, 653]], [[507, 684], [518, 736], [598, 720], [582, 668], [507, 684]], [[359, 716], [371, 759], [414, 747], [402, 704], [359, 716]], [[626, 661], [641, 713], [688, 700], [673, 648], [626, 661]], [[790, 627], [799, 670], [845, 661], [830, 618], [790, 627]], [[1112, 560], [1129, 622], [1228, 602], [1211, 540], [1112, 560]], [[317, 724], [332, 768], [372, 759], [366, 715], [317, 724]], [[343, 718], [343, 762], [388, 753], [388, 709], [343, 718]], [[913, 604], [922, 649], [967, 635], [958, 590], [913, 604]], [[272, 737], [281, 781], [325, 775], [316, 731], [272, 737]], [[793, 633], [806, 676], [843, 663], [843, 620], [793, 633]], [[332, 732], [332, 775], [380, 762], [367, 719], [332, 732]], [[1029, 590], [1038, 635], [1080, 622], [1071, 577], [1029, 590]], [[668, 663], [682, 704], [725, 695], [711, 654], [668, 663]], [[800, 634], [813, 677], [859, 671], [846, 628], [800, 634]], [[875, 620], [888, 662], [933, 653], [920, 611], [875, 620]], [[139, 774], [157, 844], [217, 828], [199, 762], [139, 774]], [[587, 683], [599, 740], [686, 723], [670, 666], [587, 683]], [[643, 673], [652, 718], [694, 705], [685, 660], [643, 673]], [[1022, 601], [1035, 648], [1082, 635], [1069, 588], [1022, 601]], [[342, 738], [355, 781], [401, 775], [388, 732], [342, 738]], [[1149, 574], [1161, 618], [1204, 618], [1192, 574], [1149, 574]], [[356, 744], [388, 864], [449, 851], [417, 731], [356, 744]], [[1146, 580], [1156, 633], [1201, 619], [1191, 574], [1146, 580]], [[1031, 609], [1046, 657], [1091, 644], [1076, 596], [1031, 609]], [[1013, 615], [1027, 656], [1070, 647], [1056, 606], [1013, 615]], [[1051, 611], [1066, 659], [1121, 648], [1106, 600], [1051, 611]], [[1102, 604], [1111, 647], [1152, 633], [1143, 590], [1102, 604]], [[880, 651], [897, 713], [1028, 687], [1011, 624], [880, 651]], [[980, 636], [986, 681], [1041, 667], [1026, 622], [980, 636]], [[1151, 600], [1160, 645], [1202, 632], [1193, 587], [1151, 600]], [[166, 804], [176, 852], [223, 842], [213, 794], [166, 804]], [[1229, 588], [1240, 641], [1307, 627], [1292, 574], [1229, 588]], [[301, 776], [314, 823], [362, 817], [349, 770], [301, 776]], [[178, 810], [192, 860], [241, 850], [227, 800], [178, 810]], [[1029, 648], [1041, 691], [1084, 679], [1072, 636], [1029, 648]], [[1226, 610], [1240, 659], [1285, 645], [1271, 596], [1226, 610]], [[933, 672], [949, 729], [1001, 718], [985, 661], [933, 672]], [[182, 828], [196, 874], [241, 865], [227, 819], [182, 828]], [[1229, 622], [1245, 680], [1306, 668], [1290, 609], [1229, 622]], [[188, 841], [202, 904], [258, 893], [241, 826], [188, 841]], [[343, 822], [364, 900], [429, 887], [408, 809], [343, 822]], [[578, 789], [605, 890], [725, 865], [698, 764], [578, 789]], [[202, 875], [220, 918], [261, 905], [252, 861], [202, 875]], [[444, 830], [484, 982], [657, 947], [617, 795], [444, 830]], [[202, 881], [210, 931], [256, 925], [248, 875], [202, 881]], [[1221, 683], [1233, 726], [1276, 714], [1264, 671], [1221, 683]], [[1246, 679], [1260, 723], [1306, 714], [1292, 670], [1246, 679]], [[1227, 688], [1240, 735], [1287, 722], [1274, 675], [1227, 688]], [[200, 900], [229, 1007], [294, 994], [265, 887], [200, 900]], [[401, 866], [411, 915], [455, 901], [445, 852], [401, 866]], [[649, 815], [662, 857], [707, 848], [694, 806], [649, 815]], [[370, 876], [383, 921], [428, 907], [415, 862], [370, 876]], [[566, 838], [580, 888], [626, 875], [612, 825], [566, 838]], [[550, 843], [563, 890], [610, 877], [597, 830], [550, 843]], [[485, 860], [497, 903], [540, 891], [528, 848], [485, 860]], [[479, 864], [492, 905], [537, 896], [524, 855], [479, 864]], [[570, 850], [579, 893], [625, 884], [610, 841], [570, 850]], [[436, 881], [454, 947], [513, 935], [495, 869], [436, 881]], [[558, 861], [568, 909], [614, 896], [604, 848], [558, 861]], [[618, 843], [636, 888], [677, 888], [668, 843], [618, 843]], [[475, 882], [488, 929], [530, 915], [524, 868], [475, 882]], [[508, 871], [508, 914], [557, 914], [544, 871], [508, 871]], [[369, 904], [375, 948], [419, 939], [413, 895], [369, 904]], [[637, 845], [642, 891], [685, 891], [680, 845], [637, 845]], [[586, 867], [596, 914], [640, 899], [630, 852], [586, 867]], [[270, 931], [276, 975], [324, 966], [309, 922], [270, 931]], [[555, 868], [568, 912], [617, 907], [604, 863], [555, 868]], [[549, 879], [562, 921], [607, 912], [594, 870], [549, 879]], [[494, 894], [508, 940], [546, 927], [540, 882], [494, 894]], [[547, 884], [560, 930], [604, 917], [598, 871], [547, 884]], [[504, 894], [515, 946], [561, 933], [550, 881], [504, 894]], [[480, 897], [485, 943], [531, 938], [526, 892], [480, 897]], [[450, 908], [464, 954], [514, 944], [500, 898], [450, 908]], [[410, 918], [420, 966], [484, 953], [469, 905], [410, 918]], [[442, 908], [456, 954], [498, 948], [493, 902], [442, 908]], [[553, 895], [559, 939], [607, 930], [592, 886], [553, 895]], [[545, 900], [559, 949], [605, 936], [591, 887], [545, 900]], [[563, 902], [572, 944], [616, 930], [598, 885], [563, 902]], [[408, 930], [421, 972], [466, 963], [453, 921], [408, 930]], [[212, 972], [226, 1017], [275, 1007], [261, 962], [212, 972]], [[225, 981], [234, 1024], [278, 1009], [269, 966], [225, 981]], [[222, 988], [249, 1087], [364, 1064], [337, 965], [222, 988]], [[837, 1062], [846, 1107], [888, 1094], [879, 1049], [837, 1062]]], 2: [[[266, 34], [278, 77], [321, 65], [309, 22], [266, 34]], [[264, 42], [277, 89], [324, 76], [311, 29], [264, 42]], [[284, 54], [298, 99], [343, 90], [329, 45], [284, 54]], [[549, 692], [554, 739], [601, 734], [596, 687], [549, 692]]]}","{0: [[[[640, 79], [639, 77], [644, 76], [632, 33], [626, 34], [626, 34], [579, 40], [580, 46], [574, 47], [578, 70], [573, 71], [589, 123], [636, 117], [632, 106], [637, 106], [629, 86], [628, 80], [640, 79]], [[0, 13], [0, 78], [39, 67], [21, 2], [0, 13]], [[556, 283], [556, 326], [603, 321], [603, 278], [556, 283]], [[285, 354], [295, 402], [342, 393], [327, 345], [285, 354]], [[166, 512], [179, 553], [224, 544], [211, 503], [166, 512]], [[803, 415], [815, 458], [858, 446], [846, 403], [803, 415]]]], 1: [[[[82, 83], [83, 87], [94, 84], [94, 85], [145, 76], [144, 74], [155, 72], [143, 16], [73, 30], [67, 31], [66, 27], [0, 47], [0, 115], [22, 107], [23, 110], [54, 101], [84, 95], [80, 83], [82, 83]], [[74, 209], [58, 150], [19, 158], [17, 149], [0, 155], [0, 203], [0, 206], [0, 232], [0, 233], [0, 276], [0, 274], [0, 308], [51, 299], [28, 257], [25, 257], [23, 249], [36, 247], [35, 243], [75, 236], [67, 210], [74, 209]], [[412, 217], [422, 217], [427, 235], [442, 231], [444, 236], [472, 229], [472, 231], [446, 237], [471, 330], [437, 338], [439, 351], [411, 357], [416, 374], [385, 381], [406, 459], [530, 433], [510, 361], [539, 355], [531, 328], [556, 323], [538, 257], [543, 257], [524, 193], [517, 193], [513, 180], [503, 182], [502, 178], [491, 180], [482, 147], [409, 162], [410, 168], [404, 170], [404, 172], [394, 172], [412, 217]], [[36, 372], [38, 377], [56, 370], [65, 409], [116, 399], [112, 386], [122, 384], [116, 338], [102, 341], [102, 333], [72, 333], [70, 320], [61, 322], [61, 320], [51, 322], [51, 319], [6, 319], [13, 355], [16, 376], [36, 372]], [[356, 568], [377, 650], [347, 659], [347, 656], [300, 669], [307, 697], [269, 701], [278, 736], [272, 737], [281, 781], [301, 778], [314, 823], [362, 817], [349, 770], [351, 769], [355, 781], [365, 779], [375, 815], [343, 822], [364, 900], [376, 897], [377, 902], [369, 904], [375, 948], [411, 940], [421, 972], [466, 963], [464, 957], [484, 953], [483, 950], [484, 949], [498, 948], [497, 947], [514, 944], [512, 939], [513, 939], [515, 946], [554, 934], [559, 949], [605, 936], [604, 933], [616, 930], [607, 909], [616, 907], [617, 907], [616, 906], [640, 899], [630, 852], [595, 863], [555, 868], [557, 877], [549, 879], [549, 881], [547, 881], [544, 871], [534, 871], [528, 848], [485, 860], [485, 862], [479, 864], [481, 871], [450, 878], [445, 852], [421, 859], [420, 856], [449, 851], [427, 770], [548, 746], [543, 730], [594, 720], [599, 740], [660, 728], [662, 735], [712, 724], [722, 760], [940, 715], [937, 704], [942, 704], [949, 729], [1001, 718], [994, 693], [996, 693], [1026, 806], [1151, 751], [1151, 717], [1151, 714], [1151, 670], [1151, 668], [1151, 629], [1151, 627], [1151, 574], [1151, 583], [1151, 500], [961, 556], [980, 630], [966, 633], [964, 623], [966, 623], [962, 613], [958, 590], [955, 590], [951, 579], [948, 579], [946, 570], [903, 575], [900, 562], [843, 573], [831, 540], [824, 543], [823, 538], [780, 547], [784, 561], [741, 573], [742, 576], [728, 581], [720, 552], [681, 565], [682, 573], [641, 580], [636, 560], [598, 567], [596, 557], [561, 563], [560, 556], [549, 558], [549, 556], [533, 558], [528, 539], [444, 556], [443, 550], [356, 568]], [[689, 548], [637, 559], [642, 580], [620, 585], [622, 591], [617, 593], [631, 634], [634, 633], [635, 634], [636, 633], [648, 670], [694, 661], [696, 661], [722, 760], [940, 715], [922, 648], [967, 635], [964, 623], [966, 623], [962, 613], [958, 590], [955, 590], [954, 589], [966, 583], [968, 583], [977, 617], [977, 623], [978, 622], [1026, 806], [1151, 751], [1151, 500], [1141, 518], [1129, 471], [1054, 486], [1048, 464], [892, 495], [884, 464], [709, 500], [714, 520], [708, 522], [711, 532], [686, 538], [689, 548]], [[157, 844], [173, 839], [176, 852], [188, 849], [193, 865], [201, 899], [200, 900], [219, 970], [212, 972], [226, 1017], [229, 1016], [249, 1087], [364, 1064], [337, 965], [288, 974], [288, 972], [324, 966], [309, 922], [276, 929], [265, 887], [257, 888], [252, 861], [250, 861], [241, 826], [234, 827], [229, 808], [234, 808], [224, 771], [276, 760], [281, 781], [325, 775], [320, 752], [326, 751], [332, 768], [332, 775], [351, 769], [355, 781], [401, 775], [388, 732], [388, 713], [394, 712], [380, 662], [350, 668], [347, 656], [332, 660], [331, 655], [323, 625], [151, 660], [173, 743], [149, 748], [155, 770], [139, 774], [157, 844]], [[456, 876], [436, 881], [443, 907], [442, 908], [442, 910], [410, 918], [420, 966], [476, 954], [484, 982], [657, 947], [642, 891], [685, 891], [683, 873], [725, 865], [698, 764], [578, 789], [581, 802], [444, 830], [456, 876]], [[837, 1062], [846, 1107], [888, 1094], [879, 1049], [837, 1062]]]], 2: [[[[267, 40], [264, 42], [277, 89], [293, 84], [298, 99], [343, 90], [329, 45], [316, 47], [311, 29], [310, 29], [309, 22], [266, 34], [267, 40]], [[549, 692], [554, 739], [601, 734], [596, 687], [549, 692]]]]}","POLYGON((152.283855542297 -30.045484161927988, 152.28398624397536 -29.79289308551335, 152.38741375602464 -29.79289308551335, 152.387544457703 -30.045484161927988, 152.283855542297 -30.045484161927988))" +78,Italy_0,19/09/2019,19/09/2019 23:59,S2B,"(41.168, 14.4398)",fire,"[1, 6]","[4, 4]","POLYGON ((14.386211275297557 41.127467710756356, 14.3861452070679 41.2085070407453, 14.493454792932104 41.20850704074529, 14.493388724702443 41.127467710756356, 14.386211275297557 41.127467710756356))","['S2B_OPER_MSI_L0__GR_EPAE_20190920T122924_S20190920T095918_D03_N02.08', 'S2B_OPER_MSI_L0__GR_EPAE_20190920T122924_S20190920T095918_D04_N02.08', 'S2B_OPER_MSI_L0__GR_MPS__20190920T115035_S20190920T095911_D04_N02.08', 'S2B_OPER_MSI_L0__GR_MPS__20190920T115035_S20190920T095915_D03_N02.08', 'S2B_OPER_MSI_L0__GR_MPS__20190920T115035_S20190920T095915_D04_N02.08', 'S2B_OPER_MSI_L0__GR_MPS__20190920T115035_S20190920T095918_D03_N02.08', 'S2B_OPER_MSI_L0__GR_MPS__20190920T115035_S20190920T095918_D04_N02.08']",S2B_MSIL1C_20190920T095029_N0208_R079_T33TVF_20190920T115647,"{1: [[[490, 189], [505, 240], [544, 227], [538, 189], [490, 189]], [[731, 241], [744, 283], [789, 274], [776, 232], [731, 241]]], 6: [[[494, 195], [503, 238], [549, 225], [531, 181], [494, 195]], [[734, 240], [743, 283], [786, 274], [777, 231], [734, 240]]]}","{1: [[[[490, 189], [505, 240], [544, 227], [538, 189], [490, 189]], [[731, 241], [744, 283], [789, 274], [776, 232], [731, 241]]]], 6: [[[[494, 195], [503, 238], [549, 225], [531, 181], [494, 195]], [[734, 240], [743, 283], [786, 274], [777, 231], [734, 240]]]]}","POLYGON((14.380334180310683 41.04192203508618, 14.380105794926758 41.29404437858068, 14.499494205073239 41.29404437858068, 14.499265819689317 41.04192203508618, 14.380334180310683 41.04192203508618))" +79,Bolivia_0,19/08/2019,19/08/2019 23:59,S2A,"(-15.8904, -62.3047)",fire,"[0, 1]","[1, 2]","POLYGON ((-62.34672818058892 -15.931061831646396, -62.34671130556332 -15.849729849947824, -62.262688694436676 -15.84972984994782, -62.262671819411075 -15.931061831646396, -62.34672818058892 -15.931061831646396))","['S2A_OPER_MSI_L0__GR_SGS__20190821T154705_S20190821T142705_D04_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190821T154705_S20190821T142709_D04_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190821T154705_S20190821T142712_D04_N02.08']",S2A_MSIL1C_20190821T142041_N0208_R010_T20LNH_20190821T155923,"{0: [[[249, 909], [256, 958], [310, 948], [295, 899], [249, 909]], [[272, 914], [278, 960], [321, 947], [315, 901], [272, 914]], [[235, 922], [252, 972], [298, 962], [284, 912], [235, 922]], [[276, 923], [286, 966], [332, 960], [319, 908], [276, 923]], [[247, 923], [256, 979], [295, 958], [289, 923], [247, 923]], [[242, 936], [251, 981], [293, 968], [284, 923], [242, 936]], [[208, 943], [217, 986], [260, 977], [251, 934], [208, 943]], [[229, 938], [238, 982], [287, 975], [278, 931], [229, 938]], [[135, 965], [151, 1023], [207, 1012], [191, 954], [135, 965]], [[220, 953], [241, 992], [286, 985], [277, 938], [220, 953]], [[196, 960], [202, 1006], [249, 992], [243, 946], [196, 960]], [[233, 964], [242, 1000], [290, 1000], [268, 947], [233, 964]], [[121, 998], [136, 1053], [183, 1040], [168, 985], [121, 998]], [[136, 995], [136, 1039], [180, 1027], [180, 983], [136, 995]], [[369, 961], [384, 1011], [435, 1004], [420, 947], [369, 961]], [[384, 965], [397, 1004], [442, 1004], [429, 956], [384, 965]], [[142, 1018], [154, 1061], [197, 1049], [185, 1006], [142, 1018]], [[398, 970], [408, 1015], [454, 1010], [444, 956], [398, 970]], [[403, 979], [416, 1026], [459, 1014], [446, 967], [403, 979]], [[410, 986], [424, 1036], [472, 1026], [458, 976], [410, 986]], [[419, 986], [432, 1025], [479, 1019], [467, 973], [419, 986]], [[404, 991], [419, 1034], [462, 1025], [447, 982], [404, 991]], [[450, 990], [462, 1033], [505, 1021], [493, 978], [450, 990]], [[457, 994], [466, 1039], [507, 1026], [498, 981], [457, 994]], [[453, 1020], [462, 1058], [511, 1058], [490, 1006], [453, 1020]], [[492, 1020], [501, 1068], [545, 1053], [536, 1014], [492, 1020]], [[523, 1017], [536, 1061], [582, 1055], [569, 1004], [523, 1017]], [[461, 1029], [476, 1077], [523, 1067], [513, 1019], [461, 1029]], [[547, 1057], [562, 1114], [600, 1093], [590, 1057], [547, 1057]], [[551, 1071], [557, 1116], [601, 1107], [595, 1062], [551, 1071]], [[539, 1103], [551, 1146], [594, 1134], [582, 1091], [539, 1103]], [[539, 1101], [560, 1140], [597, 1134], [597, 1092], [539, 1101]]], 1: [[[158, 10], [174, 64], [222, 54], [211, 3], [158, 10]], [[178, 32], [187, 70], [236, 70], [215, 18], [178, 32]], [[162, 49], [177, 98], [238, 86], [223, 37], [162, 49]], [[127, 67], [144, 122], [212, 112], [196, 53], [127, 67]], [[189, 59], [189, 103], [237, 90], [225, 46], [189, 59]], [[133, 83], [133, 121], [182, 121], [169, 70], [133, 83]], [[485, 26], [500, 78], [549, 67], [542, 19], [485, 26]], [[527, 31], [536, 69], [579, 69], [567, 17], [527, 31]], [[501, 41], [510, 82], [555, 77], [549, 27], [501, 41]], [[222, 101], [234, 147], [281, 134], [268, 95], [222, 101]], [[232, 101], [241, 144], [289, 135], [273, 92], [232, 101]], [[406, 75], [421, 118], [464, 109], [449, 66], [406, 75]], [[257, 123], [270, 174], [317, 160], [302, 117], [257, 123]], [[411, 104], [424, 150], [467, 138], [454, 92], [411, 104]], [[278, 134], [278, 177], [324, 172], [324, 129], [278, 134]], [[287, 145], [292, 188], [343, 183], [330, 132], [287, 145]], [[293, 150], [303, 203], [351, 190], [337, 144], [293, 150]], [[302, 170], [311, 215], [365, 204], [344, 164], [302, 170]], [[412, 153], [422, 206], [467, 192], [457, 147], [412, 153]], [[312, 174], [312, 216], [369, 207], [348, 168], [312, 174]], [[406, 169], [418, 212], [464, 199], [452, 156], [406, 169]], [[400, 170], [409, 214], [455, 208], [446, 164], [400, 170]], [[329, 220], [335, 264], [384, 255], [369, 211], [329, 220]], [[349, 218], [358, 261], [399, 247], [390, 204], [349, 218]], [[335, 222], [344, 265], [387, 256], [378, 213], [335, 222]], [[347, 222], [359, 265], [402, 253], [390, 210], [347, 222]]]}","{0: [[[[210, 955], [196, 960], [199, 983], [191, 954], [135, 965], [142, 992], [121, 998], [136, 1053], [150, 1048], [154, 1061], [197, 1049], [187, 1015], [207, 1012], [205, 1005], [240, 994], [242, 1000], [290, 1000], [283, 985], [286, 985], [284, 975], [287, 975], [286, 970], [293, 968], [292, 965], [332, 960], [319, 908], [316, 909], [315, 901], [297, 906], [295, 899], [249, 909], [250, 918], [235, 922], [239, 936], [238, 936], [229, 938], [229, 938], [208, 943], [210, 955]], [[412, 1014], [415, 1023], [416, 1026], [416, 1025], [419, 1034], [423, 1033], [424, 1036], [455, 1029], [462, 1058], [470, 1058], [476, 1077], [523, 1067], [521, 1060], [534, 1056], [536, 1061], [547, 1059], [551, 1073], [554, 1098], [539, 1101], [539, 1102], [539, 1103], [551, 1146], [589, 1135], [597, 1134], [597, 1107], [601, 1107], [599, 1093], [600, 1093], [598, 1087], [595, 1062], [591, 1062], [590, 1057], [566, 1057], [582, 1055], [569, 1004], [531, 1014], [505, 1018], [498, 981], [494, 982], [493, 978], [469, 984], [467, 973], [449, 977], [446, 967], [444, 956], [430, 960], [429, 956], [422, 957], [420, 947], [369, 961], [384, 1011], [406, 1007], [408, 1015], [412, 1014]]]], 1: [[[[162, 49], [165, 59], [127, 67], [133, 86], [133, 121], [143, 121], [144, 122], [150, 121], [182, 121], [180, 116], [212, 112], [208, 97], [237, 90], [236, 86], [238, 86], [233, 70], [236, 70], [224, 40], [223, 37], [222, 37], [215, 18], [214, 18], [211, 3], [158, 10], [169, 47], [162, 49]], [[579, 69], [567, 17], [542, 25], [542, 19], [485, 26], [500, 78], [508, 76], [510, 82], [555, 77], [554, 69], [579, 69]], [[246, 97], [222, 101], [234, 147], [252, 141], [261, 140], [270, 174], [278, 171], [278, 177], [290, 175], [292, 188], [300, 187], [303, 203], [308, 201], [311, 215], [312, 214], [312, 216], [369, 207], [348, 168], [346, 168], [344, 164], [343, 164], [337, 144], [333, 144], [330, 132], [324, 133], [324, 129], [306, 130], [302, 117], [283, 119], [273, 92], [246, 97]], [[415, 102], [411, 104], [424, 150], [467, 138], [459, 110], [464, 109], [449, 66], [406, 75], [415, 102]], [[414, 166], [406, 169], [406, 169], [400, 170], [409, 214], [455, 208], [453, 201], [464, 199], [462, 193], [467, 192], [457, 147], [412, 153], [414, 166]], [[390, 204], [369, 211], [369, 211], [329, 220], [335, 264], [343, 262], [344, 265], [358, 262], [359, 265], [402, 253], [395, 228], [390, 204]]]]}","POLYGON((-62.351417854033514 -16.016910631685327, -62.35135952042565 -15.763877809003292, -62.25804047957433 -15.763877809003292, -62.25798214596648 -16.016910631685327, -62.351417854033514 -16.016910631685327))" +80,Bolivia_1,19/08/2019,19/08/2019 23:59,S2A,"(-15.6869, -60.488)",fire,"[0, 2, 5]","[2, 4, 3]","POLYGON ((-60.52998614151018 -15.72756264731384, -60.52996951036145 -15.646229145854894, -60.44603048963855 -15.646229145854894, -60.44601385848982 -15.72756264731384, -60.52998614151018 -15.72756264731384))","['S2A_OPER_MSI_L0__GR_SGS__20190801T172617_S20190801T142657_D12_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190801T172617_S20190801T142701_D11_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190801T172617_S20190801T142701_D12_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190801T172617_S20190801T142704_D11_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190801T172617_S20190801T142704_D12_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190801T172617_S20190801T142708_D11_N02.08']",S2A_MSIL1C_20190801T142041_N0208_R010_T20LQH_20190801T174138,"{0: [[[600, 1053], [611, 1107], [658, 1092], [647, 1038], [600, 1053]]], 2: [[[615, 56], [622, 111], [673, 95], [666, 43], [615, 56]], [[657, 81], [663, 127], [706, 114], [700, 68], [657, 81]], [[666, 95], [677, 148], [728, 134], [717, 81], [666, 95]], [[668, 104], [680, 145], [724, 145], [710, 91], [668, 104]]], 5: [[[593, 998], [599, 1046], [650, 1032], [644, 984], [593, 998]], [[557, 1029], [563, 1077], [612, 1063], [597, 1020], [557, 1029]], [[558, 1051], [568, 1104], [613, 1090], [603, 1045], [558, 1051]], [[668, 1079], [677, 1125], [720, 1110], [711, 1070], [668, 1079]]]}","{0: [[[600, 1053], [611, 1107], [658, 1092], [647, 1038], [600, 1053]]], 2: [[[[659, 99], [663, 127], [672, 124], [677, 148], [687, 145], [724, 145], [721, 135], [728, 134], [717, 81], [702, 85], [700, 68], [670, 76], [666, 43], [615, 56], [622, 111], [659, 99]]]], 5: [[[[595, 1020], [557, 1029], [559, 1050], [558, 1051], [568, 1104], [613, 1090], [607, 1064], [612, 1063], [605, 1044], [650, 1032], [644, 984], [593, 998], [595, 1020]], [[668, 1079], [677, 1125], [720, 1110], [711, 1070], [668, 1079]]]]}","POLYGON((-60.53467085740132 -15.813413072032436, -60.53461336682783 -15.560375521189856, -60.44138663317217 -15.560375521189858, -60.441329142598676 -15.813413072032436, -60.53467085740132 -15.813413072032436))" +81,Greece_4,19/08/2019,19/08/2019 23:59,S2A,"(38.6479, 23.68)",fire,"[0, 2]","[2, 4]","POLYGON ((23.628337110537846 38.60735111137876, 23.628278858751703 38.6884257661379, 23.731721141248293 38.688425766137904, 23.731662889462154 38.60735111137876, 23.628337110537846 38.60735111137876))","['S2A_OPER_MSI_L0__GR_EPAE_20190814T102155_S20190814T091943_D04_N02.08', 'S2A_OPER_MSI_L0__GR_EPAE_20190814T102155_S20190814T091947_D03_N02.08', 'S2A_OPER_MSI_L0__GR_EPAE_20190814T102155_S20190814T091947_D04_N02.08', 'S2A_OPER_MSI_L0__GR_EPAE_20190814T102155_S20190814T091950_D03_N02.08', 'S2A_OPER_MSI_L0__GR_EPAE_20190814T102155_S20190814T091950_D04_N02.08']",S2A_MSIL1C_20190814T090601_N0208_R050_T35SKC_20190814T104032,"{0: [[[163, 1044], [176, 1087], [223, 1081], [210, 1038], [163, 1044]], [[277, 1027], [290, 1070], [337, 1064], [324, 1014], [277, 1027]], [[187, 1047], [201, 1088], [244, 1079], [230, 1038], [187, 1047]], [[296, 1029], [315, 1091], [375, 1078], [358, 1016], [296, 1029]], [[274, 1031], [287, 1080], [331, 1068], [318, 1031], [274, 1031]], [[102, 1074], [116, 1119], [165, 1109], [151, 1064], [102, 1074]], [[97, 1089], [106, 1132], [149, 1123], [140, 1080], [97, 1089]], [[155, 1094], [155, 1137], [203, 1124], [190, 1081], [155, 1094]], [[322, 1074], [334, 1130], [384, 1116], [372, 1060], [322, 1074]]], 2: [[[216, 178], [225, 223], [267, 210], [258, 165], [216, 178]], [[333, 155], [342, 200], [384, 187], [375, 142], [333, 155]], [[305, 183], [305, 226], [355, 226], [342, 183], [305, 183]]]}","{0: [[[[199, 1083], [201, 1088], [244, 1079], [230, 1038], [211, 1041], [210, 1038], [163, 1044], [175, 1086], [159, 1092], [151, 1064], [102, 1074], [116, 1119], [155, 1111], [155, 1137], [203, 1124], [191, 1085], [199, 1083]], [[315, 1091], [325, 1088], [334, 1130], [384, 1116], [372, 1060], [370, 1060], [358, 1016], [326, 1022], [324, 1014], [277, 1027], [278, 1031], [274, 1031], [287, 1080], [309, 1073], [315, 1091]], [[106, 1087], [97, 1089], [106, 1132], [149, 1123], [146, 1112], [165, 1109], [151, 1064], [102, 1074], [106, 1087]]]], 2: [[[[338, 183], [305, 183], [305, 226], [355, 226], [346, 198], [384, 187], [375, 142], [333, 155], [338, 183]], [[216, 178], [225, 223], [267, 210], [258, 165], [216, 178]]]]}","POLYGON((23.622664870370986 38.52176841532212, 23.62246350506034 38.774000659595245, 23.737536494939658 38.774000659595245, 23.737335129629013 38.52176841532212, 23.622664870370986 38.52176841532212))" +82,Greenland_0,19/08/2019,19/08/2019 23:59,S2A,"(66.9996, -53.1842)",fire,[2],[4],"POLYGON ((-53.287191502464815 66.95921566466521, -53.28753346148262 67.03991725189053, -53.08086653851737 67.03991725189053, -53.08120849753518 66.95921566466521, -53.287191502464815 66.95921566466521))","['S2A_OPER_MSI_L0__GR_EPAE_20190812T014437_S20190812T000733_D12_N02.08', 'S2A_OPER_MSI_L0__GR_MTI__20190812T200711_S20190812T151404_D02_N02.08', 'S2A_OPER_MSI_L0__GR_MTI__20190812T200711_S20190812T151407_D02_N02.08', 'S2A_OPER_MSI_L0__GR_MTI__20190812T200711_S20190812T151411_D01_N02.08', 'S2A_OPER_MSI_L0__GR_MTI__20190812T200711_S20190812T151411_D02_N02.08', 'S2A_OPER_MSI_L0__GR_MTI__20190812T200711_S20190812T151414_D01_N02.08', 'S2A_OPER_MSI_L0__GR_SGS__20190813T011818_S20190812T233746_D01_N02.08']",S2A_MSIL1C_20190812T150921_N0208_R025_T21WXQ_20190812T201743,"{0: [[[195, 571], [475, 1070], [506, 1039], [164, 540], [195, 571]], [[43, 753], [429, 1037], [429, 987], [67, 721], [43, 753]], [[65, 756], [409, 1012], [477, 1012], [94, 727], [65, 756]]], 2: [[[335, 423], [356, 476], [421, 455], [400, 402], [335, 423]], [[374, 427], [389, 474], [430, 461], [415, 414], [374, 427]], [[341, 468], [365, 515], [404, 502], [388, 458], [341, 468]], [[355, 481], [380, 538], [448, 516], [424, 455], [355, 481]], [[345, 490], [361, 534], [408, 524], [384, 477], [345, 490]], [[424, 464], [439, 510], [488, 496], [465, 450], [424, 464]]]}","{0: [[[[45, 749], [43, 753], [429, 1037], [429, 1035], [475, 1070], [506, 1039], [469, 1012], [477, 1012], [94, 727], [91, 729], [0, 540], [0, 571], [45, 749]]]], 2: [[[[430, 461], [415, 414], [405, 416], [400, 402], [335, 423], [351, 465], [341, 468], [351, 487], [345, 490], [361, 534], [376, 530], [380, 538], [448, 516], [444, 508], [488, 496], [465, 450], [427, 462], [426, 462], [430, 461]]]]}","POLYGON((-53.29823679678664 66.87402195687324, -53.29941890810365 67.12509347860086, -53.06898109189634 67.12509347860086, -53.070163203213355 66.87402195687324, -53.29823679678664 66.87402195687324))" +83,Greece_5,19/07/2019,19/07/2019 23:59,S2A,"(38.4886, 24.0979)",fire,"[2, 3, 5]","[4, 5, 3]","POLYGON ((24.046350885087246 38.44805006978415, 24.046293091824815 38.52912693716134, 24.14950690817518 38.529126937161344, 24.149449114912752 38.44805006978415, 24.046350885087246 38.44805006978415))","['S2A_OPER_MSI_L0__GR_MTI__20190705T110652_S20190705T091945_D06_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190705T110652_S20190705T091949_D05_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190705T110652_S20190705T091949_D06_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190705T110652_S20190705T091952_D05_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190705T110652_S20190705T091952_D06_N02.07', 'S2A_OPER_MSI_L0__GR_MTI__20190705T110652_S20190705T091956_D05_N02.07']",S2A_MSIL1C_20190705T090601_N0207_R050_T35SKC_20190705T113504,"{2: [[[36, 16], [54, 75], [110, 64], [92, 5], [36, 16]], [[49, 45], [55, 81], [102, 81], [84, 24], [49, 45]], [[53, 41], [62, 82], [109, 73], [94, 26], [53, 41]], [[17, 51], [35, 97], [74, 82], [65, 42], [17, 51]], [[12, 72], [29, 132], [86, 120], [69, 60], [12, 72]]], 3: [[[495, 862], [508, 912], [548, 898], [539, 862], [495, 862]], [[589, 862], [600, 913], [651, 902], [640, 851], [589, 862]], [[593, 875], [599, 917], [654, 910], [640, 861], [593, 875]], [[583, 878], [598, 922], [637, 913], [631, 869], [583, 878]], [[594, 883], [603, 924], [648, 919], [642, 869], [594, 883]], [[1243, 825], [1256, 868], [1302, 862], [1289, 819], [1243, 825]], [[1239, 848], [1252, 908], [1311, 896], [1294, 836], [1239, 848]], [[1108, 1008], [1114, 1056], [1168, 1041], [1154, 998], [1108, 1008]], [[1105, 1022], [1114, 1061], [1158, 1055], [1149, 1007], [1105, 1022]], [[1065, 1039], [1074, 1074], [1116, 1074], [1104, 1018], [1065, 1039]], [[1096, 1032], [1102, 1078], [1149, 1064], [1143, 1018], [1096, 1032]], [[1054, 1041], [1069, 1094], [1128, 1082], [1113, 1029], [1054, 1041]], [[1075, 1039], [1091, 1083], [1132, 1074], [1122, 1024], [1075, 1039]], [[1050, 1059], [1063, 1102], [1109, 1096], [1096, 1046], [1050, 1059]], [[1021, 1073], [1050, 1178], [1130, 1161], [1101, 1056], [1021, 1073]], [[1133, 1062], [1150, 1112], [1201, 1101], [1187, 1051], [1133, 1062]], [[1135, 1076], [1148, 1117], [1193, 1108], [1180, 1067], [1135, 1076]], [[1128, 1082], [1142, 1135], [1193, 1121], [1177, 1072], [1128, 1082]], [[1121, 1097], [1135, 1142], [1180, 1129], [1166, 1084], [1121, 1097]], [[1131, 1097], [1140, 1145], [1187, 1131], [1175, 1091], [1131, 1097]], [[1135, 1112], [1144, 1155], [1185, 1141], [1176, 1098], [1135, 1112]], [[1120, 1134], [1129, 1179], [1175, 1165], [1166, 1120], [1120, 1134]]], 5: [[[1029, 12], [1046, 44], [1111, 26], [1099, 26], [1029, 12]], [[1115, 13], [1137, 24], [1176, 18], [1167, 27], [1115, 13]], [[1118, 10], [1133, 36], [1181, 29], [1171, 22], [1118, 10]]]}","{2: [[[[102, 81], [100, 74], [109, 73], [106, 64], [110, 64], [92, 5], [36, 16], [45, 45], [17, 51], [24, 69], [12, 72], [29, 132], [86, 120], [74, 81], [102, 81]]]], 3: [[[[654, 910], [648, 891], [640, 851], [589, 862], [592, 876], [583, 878], [598, 922], [602, 920], [603, 924], [648, 919], [647, 910], [654, 910]], [[1151, 845], [1151, 848], [1151, 908], [1151, 896], [1151, 862], [1151, 862], [1151, 819], [1151, 825], [1151, 845]], [[1106, 1028], [1106, 1028], [1104, 1018], [1065, 1038], [1054, 1041], [1058, 1056], [1050, 1059], [1052, 1066], [1021, 1073], [1050, 1178], [1125, 1161], [1129, 1179], [1151, 1165], [1151, 1145], [1151, 1141], [1151, 1132], [1151, 1131], [1151, 1123], [1151, 1121], [1151, 1108], [1151, 1108], [1151, 1103], [1151, 1101], [1151, 1051], [1148, 1058], [1148, 1056], [1151, 1055], [1151, 1044], [1151, 1041], [1151, 998], [1108, 1008], [1109, 1020], [1105, 1022], [1106, 1028]], [[495, 862], [508, 912], [548, 898], [539, 862], [495, 862]]]], 5: [[[[1119, 0], [1133, 36], [1151, 29], [1151, 0], [1151, 0], [1151, 0], [1115, 0], [1119, 0]], [[1029, 0], [1046, 44], [1111, 26], [1099, 0], [1029, 0]]]]}","POLYGON((24.040690751052598 38.36246505479062, 24.040490970776997 38.61470418284931, 24.155309029223 38.61470418284931, 24.1551092489474 38.36246505479062, 24.040690751052598 38.36246505479062))" +84,Kenya_0,19/02/2019,19/02/2019 23:59,S2A,"(-0.2038, 37.2755)",fire,"[0, 2, 3]","[2, 4, 5]","POLYGON ((37.23507544999801 -0.2444965657306673, 37.23507565289524 -0.1631033300727236, 37.31592434710476 -0.1631033300727236, 37.315924550001995 -0.2444965657306673, 37.23507544999801 -0.2444965657306673))","['S2A_OPER_MSI_L0__GR_SGS__20190228T092637_S20190228T075953_D06_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190228T092637_S20190228T075956_D05_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190228T092637_S20190228T075956_D06_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190228T092637_S20190228T080000_D05_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190228T092637_S20190228T080000_D06_N02.07', 'S2A_OPER_MSI_L0__GR_SGS__20190228T092637_S20190228T080003_D05_N02.07']",S2A_MSIL1C_20190228T073841_N0207_R092_T37MBV_20190228T093948,"{0: [[[479, 241], [496, 301], [571, 286], [558, 225], [479, 241]], [[463, 262], [478, 318], [533, 303], [518, 251], [463, 262]], [[455, 268], [476, 307], [520, 297], [499, 258], [455, 268]], [[496, 263], [506, 312], [560, 297], [550, 248], [496, 263]], [[776, 205], [807, 323], [975, 289], [946, 170], [776, 205]], [[492, 273], [504, 316], [547, 304], [535, 261], [492, 273]], [[486, 274], [500, 315], [543, 306], [529, 265], [486, 274]], [[462, 284], [476, 329], [521, 320], [507, 275], [462, 284]], [[955, 242], [961, 284], [1007, 279], [1001, 228], [955, 242]], [[990, 247], [1015, 342], [1089, 327], [1066, 232], [990, 247]], [[367, 401], [373, 445], [417, 436], [411, 392], [367, 401]], [[999, 299], [1008, 337], [1051, 337], [1039, 285], [999, 299]], [[746, 617], [760, 665], [804, 652], [795, 611], [746, 617]], [[306, 832], [317, 884], [372, 869], [361, 817], [306, 832]], [[287, 845], [287, 893], [331, 881], [331, 845], [287, 845]], [[88, 919], [113, 1012], [187, 997], [164, 904], [88, 919]], [[261, 886], [272, 938], [315, 929], [304, 877], [261, 886]], [[173, 921], [187, 967], [232, 958], [218, 912], [173, 921]]], 2: [[[102, 14], [113, 36], [182, 21], [171, 29], [102, 14]], [[49, 173], [62, 211], [107, 205], [95, 159], [49, 173]], [[27, 184], [49, 272], [115, 259], [93, 171], [27, 184]], [[60, 235], [77, 295], [229, 264], [212, 204], [60, 235]], [[216, 208], [227, 260], [297, 246], [286, 194], [216, 208]], [[990, 50], [999, 98], [1046, 84], [1034, 44], [990, 50]], [[189, 221], [204, 269], [268, 256], [253, 208], [189, 221]]], 3: [[[1253, 959], [1268, 1014], [1317, 1008], [1302, 953], [1253, 959]]]}","{0: [[[[455, 268], [463, 283], [462, 284], [476, 329], [521, 320], [518, 311], [530, 308], [543, 306], [542, 305], [547, 304], [546, 300], [560, 297], [558, 288], [571, 286], [558, 225], [479, 241], [483, 257], [463, 262], [464, 265], [455, 268]], [[975, 289], [973, 282], [998, 279], [1003, 297], [999, 299], [1008, 337], [1013, 337], [1015, 342], [1039, 337], [1051, 337], [1050, 334], [1089, 327], [1066, 232], [1002, 244], [1001, 228], [962, 239], [946, 170], [776, 205], [807, 323], [975, 289]], [[308, 845], [287, 845], [287, 880], [261, 886], [272, 938], [315, 929], [306, 887], [331, 881], [331, 880], [372, 869], [361, 817], [306, 832], [308, 845]], [[173, 921], [187, 967], [232, 958], [218, 912], [173, 921]], [[367, 401], [373, 445], [417, 436], [411, 392], [367, 401]], [[746, 617], [760, 665], [804, 652], [795, 611], [746, 617]], [[88, 919], [113, 1012], [187, 997], [164, 904], [88, 919]]]], 2: [[[[27, 184], [49, 272], [69, 267], [77, 295], [229, 264], [228, 263], [268, 256], [266, 252], [297, 246], [286, 194], [216, 208], [217, 215], [215, 215], [212, 204], [106, 225], [101, 205], [107, 205], [95, 159], [49, 173], [51, 179], [27, 184]], [[102, 0], [113, 36], [182, 21], [171, 0], [102, 0]], [[990, 50], [999, 98], [1046, 84], [1034, 44], [990, 50]]]], 3: [[[1151, 959], [1151, 1014], [1151, 1008], [1151, 953], [1151, 959]]]}","POLYGON((37.230583530243074 -0.3304116225384926, 37.23058423161824 -0.07718823138627982, 37.320415768381764 -0.07718823138627984, 37.32041646975693 -0.3304116225384926, 37.230583530243074 -0.3304116225384926))" +85,Latvia_1,18/08/2018,18/08/2018 23:59,S2A,"(57.9515, 24.8847)",fire,[5],[3],"POLYGON ((24.80878827423171 57.91107379767839, 24.808617393968888 57.991880519948765, 24.96078260603111 57.991880519948765, 24.96061172576829 57.91107379767839, 24.80878827423171 57.91107379767839))","['S2A_OPER_MSI_L0__GR_MPS__20180801T132812_S20180801T095414_D12_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180801T132812_S20180801T095417_D11_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180801T132812_S20180801T095417_D12_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180801T132812_S20180801T095421_D11_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180801T132812_S20180801T095421_D12_N02.06', 'S2A_OPER_MSI_L0__GR_MPS__20180801T132812_S20180801T095424_D11_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180802T010153_S20180801T232002_D04_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180802T010153_S20180801T232006_D03_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180802T010153_S20180801T232009_D03_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180802T010153_S20180801T232013_D03_N02.06']",S2A_MSIL1C_20180801T095031_N0206_R079_T35VLE_20180801T134035,"{5: [[[1124, 132], [1147, 201], [1216, 174], [1189, 106], [1124, 132]], [[1199, 139], [1216, 179], [1256, 166], [1237, 113], [1199, 139]]], 6: [[[42379, 837485], [42408, 837349], [42437, 837359], [42469, 837982], [42445, 837984], [42379, 837485]], [[42364, 835964], [42393, 835829], [42422, 835839], [42499, 837361], [42471, 837363], [42364, 835964]], [[42329, 834382], [42343, 834312], [42373, 834320], [42457, 835973], [42428, 835974], [42329, 834382]], [[30027, 583146], [30101, 582802], [30130, 582812], [30389, 587932], [30361, 587933], [30027, 583146]], [[30633, 593805], [30660, 593682], [30689, 593692], [30727, 594444], [30701, 594446], [30633, 593805]], [[42093, 820230], [42118, 820108], [42148, 820116], [42226, 821640], [42198, 821642], [42093, 820230]], [[41828, 804623], [41849, 804527], [41878, 804537], [41943, 805802], [41915, 805804], [41828, 804623]]], 8: [[[165, 532], [218, 454], [218, 528], [165, 609], [165, 532]], [[189, 495], [239, 425], [239, 496], [189, 571], [189, 495]], [[418, 145], [470, 71], [470, 141], [418, 215], [418, 145]], [[449, 99], [501, 25], [501, 97], [449, 171], [449, 99]], [[471, 63], [515, 7], [515, 76], [471, 132], [471, 63]], [[650, 755], [729, 867], [729, 787], [650, 674], [650, 755]], [[684, 778], [735, 849], [735, 778], [684, 713], [684, 778]], [[711, 298], [761, 373], [761, 298], [711, 223], [711, 298]], [[973, 697], [1020, 764], [1020, 691], [973, 631], [973, 697]], [[1102, 893], [1147, 956], [1147, 886], [1102, 823], [1102, 893]], [[1150, 968], [1197, 1035], [1197, 963], [1150, 896], [1150, 968]], [[1204, 1049], [1252, 1121], [1252, 1046], [1204, 974], [1204, 1049]]], 9: [[[114, 2279], [148, 2190], [164, 2267], [114, 2381], [114, 2279]], [[355, 1662], [400, 1550], [427, 1550], [427, 1604], [355, 1662]], [[1199, 478], [1246, 589], [1259, 510], [1199, 374], [1199, 478]]]}","{5: [[[[1151, 179], [1151, 166], [1151, 113], [1151, 137], [1151, 106], [1124, 132], [1147, 201], [1151, 174], [1151, 179]]]], 6: [[[[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]], [[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]], [[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]], [[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]], [[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]], [[1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0], [1151, 0]]]], 8: [[[[189, 0], [189, 0], [212, 0], [218, 0], [218, 0], [239, 0], [239, 0], [218, 0], [218, 0], [165, 0], [165, 0], [189, 0]], [[449, 0], [449, 0], [471, 0], [471, 0], [515, 0], [515, 0], [501, 0], [501, 0], [449, 0], [449, 0], [418, 0], [418, 0], [449, 0]], [[729, 867], [729, 840], [735, 849], [735, 778], [684, 713], [684, 722], [650, 674], [650, 755], [729, 867]], [[711, 298], [761, 373], [761, 298], [711, 223], [711, 298]], [[973, 697], [1020, 764], [1020, 691], [973, 631], [973, 697]], [[1102, 893], [1147, 956], [1147, 886], [1102, 823], [1102, 893]], [[1150, 968], [1151, 1035], [1151, 963], [1150, 896], [1150, 968]], [[1151, 1049], [1151, 1121], [1151, 1046], [1151, 974], [1151, 1049]]]], 9: [[[[114, 0], [148, 0], [164, 0], [114, 0], [114, 0]], [[355, 0], [400, 0], [427, 0], [427, 0], [355, 0]], [[1151, 478], [1151, 589], [1151, 510], [1151, 374], [1151, 478]]]]}","POLYGON((24.800553017924834 57.825771383168245, 24.79996231274342 58.07717003435354, 24.969437687256576 58.07717003435354, 24.968846982075164 57.825771383168245, 24.800553017924834 57.825771383168245))" +86,Sweden_0,18/07/2018,18/07/2018 23:59,S2A,"(61.815, 14.4926)",fire,"[0, 2, 3]","[2, 4, 1]","POLYGON ((14.407348407846948 61.774593857195796, 14.40712420604424 61.85535287644595, 14.578075793955758 61.85535287644595, 14.577851592153051 61.774593857195796, 14.407348407846948 61.774593857195796))","['S2A_OPER_MSI_L0__GR_SGS__20180717T155032_S20180717T104331_D10_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180717T155032_S20180717T104334_D09_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180717T155032_S20180717T104334_D10_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180717T155032_S20180717T104338_D09_N02.06', 'S2A_OPER_MSI_L0__GR_SGS__20180717T155032_S20180717T104338_D10_N02.06']",S2A_MSIL1C_20180717T104021_N0206_R008_T33VVJ_20180717T160515,"{0: [[[3, 1042], [15, 1094], [54, 1068], [35, 1029], [3, 1042]], [[246, 1082], [271, 1138], [332, 1113], [309, 1055], [246, 1082]], [[393, 1100], [413, 1149], [459, 1129], [439, 1080], [393, 1100]], [[420, 1118], [437, 1159], [483, 1141], [460, 1100], [420, 1118]]], 2: [[[279, 1], [298, 41], [339, 23], [320, 19], [279, 1]], [[295, 10], [317, 59], [368, 36], [348, 12], [295, 10]], [[243, 35], [279, 123], [365, 88], [329, 0], [243, 35]], [[305, 21], [323, 60], [362, 46], [353, 0], [305, 21]], [[311, 24], [331, 75], [371, 52], [354, 10], [311, 24]], [[336, 31], [351, 80], [403, 58], [382, 15], [336, 31]], [[295, 61], [315, 107], [362, 86], [342, 40], [295, 61]], [[450, 6], [472, 55], [514, 36], [494, 12], [450, 6]], [[270, 80], [295, 117], [337, 99], [312, 62], [270, 80]], [[307, 68], [325, 114], [367, 95], [349, 58], [307, 68]], [[310, 95], [331, 143], [377, 123], [356, 75], [310, 95]], [[303, 122], [327, 177], [389, 150], [365, 95], [303, 122]], [[399, 199], [420, 248], [468, 227], [452, 177], [399, 199]], [[468, 189], [488, 235], [533, 215], [513, 169], [468, 189]], [[588, 172], [606, 215], [643, 197], [633, 154], [588, 172]], [[1, 979], [20, 1024], [53, 1000], [39, 957], [1, 979]]], 3: [[[0, 253], [14, 296], [59, 278], [45, 235], [0, 253]], [[7, 661], [12, 703], [54, 685], [34, 643], [7, 661]], [[8, 853], [12, 897], [59, 881], [44, 833], [8, 853]], [[182, 829], [206, 888], [259, 867], [235, 808], [182, 829]], [[167, 857], [192, 920], [256, 895], [230, 832], [167, 857]], [[190, 849], [215, 888], [251, 870], [238, 831], [190, 849]], [[243, 852], [266, 904], [314, 883], [291, 831], [243, 852]], [[180, 880], [200, 923], [242, 905], [228, 862], [180, 880]], [[185, 887], [207, 942], [265, 919], [243, 864], [185, 887]], [[267, 866], [295, 935], [347, 914], [319, 845], [267, 866]], [[193, 909], [225, 987], [292, 961], [260, 883], [193, 909]], [[218, 906], [237, 946], [284, 926], [265, 886], [218, 906]], [[224, 908], [244, 956], [288, 938], [273, 893], [224, 908]], [[298, 902], [316, 946], [358, 928], [340, 884], [298, 902]], [[242, 931], [257, 978], [304, 963], [289, 916], [242, 931]], [[291, 915], [309, 957], [356, 942], [338, 895], [291, 915]], [[235, 938], [249, 981], [294, 963], [280, 920], [235, 938]], [[242, 943], [263, 995], [320, 972], [299, 920], [242, 943]], [[269, 953], [288, 994], [331, 977], [322, 933], [269, 953]], [[1232, 707], [1251, 751], [1293, 741], [1274, 697], [1232, 707]]]}","{0: [[[[413, 1149], [429, 1141], [437, 1159], [483, 1141], [460, 1100], [449, 1104], [439, 1080], [393, 1100], [413, 1149]], [[0, 1042], [15, 1094], [54, 1068], [35, 1029], [0, 1042]], [[246, 1082], [271, 1138], [332, 1113], [309, 1055], [246, 1082]]]], 2: [[[[353, 0], [348, 0], [327, 0], [320, 0], [279, 0], [287, 17], [243, 35], [279, 123], [294, 116], [295, 117], [315, 108], [318, 115], [303, 122], [327, 177], [389, 150], [365, 95], [367, 95], [363, 88], [365, 88], [360, 76], [403, 58], [382, 15], [362, 21], [353, 0]], [[450, 6], [472, 55], [514, 36], [494, 0], [450, 6]], [[399, 199], [420, 248], [468, 227], [452, 177], [399, 199]], [[468, 189], [488, 235], [533, 215], [513, 169], [468, 189]], [[588, 172], [606, 215], [643, 197], [633, 154], [588, 172]], [[0, 979], [20, 1024], [53, 1000], [39, 957], [0, 979]]]], 3: [[[[235, 808], [182, 829], [189, 847], [167, 857], [192, 920], [196, 918], [225, 987], [248, 978], [249, 981], [256, 978], [263, 995], [284, 986], [288, 994], [331, 977], [325, 951], [356, 942], [351, 930], [358, 928], [340, 884], [335, 885], [319, 845], [300, 852], [291, 831], [251, 848], [235, 808]], [[0, 253], [14, 296], [59, 278], [45, 235], [0, 253]], [[0, 661], [12, 703], [54, 685], [34, 643], [0, 661]], [[0, 853], [12, 897], [59, 881], [44, 833], [0, 853]], [[1151, 707], [1151, 751], [1151, 741], [1151, 697], [1151, 707]]]]}","POLYGON((14.398137425245771 61.689340994756286, 14.397362393189715 61.940591223437785, 14.587837606810277 61.940591223437785, 14.587062574754228 61.689340994756286, 14.398137425245771 61.689340994756286))" +87,Spain_5,17/07/2017,17/07/2017 23:59,S2A,"(38.4359, -2.3611)",fire,[0],[2],"POLYGON ((-2.4126116738512025 38.395349725449535, -2.412669316287021 38.4764273241917, -2.3095306837129788 38.476427324191704, -2.3095883261487975 38.395349725449535, -2.4126116738512025 38.395349725449535))","['S2A_OPER_MSI_L0__GR_SGS__20170728T143139_S20170728T111025_D10_N02.05', 'S2A_OPER_MSI_L0__GR_SGS__20170728T143139_S20170728T111029_D09_N02.05', 'S2A_OPER_MSI_L0__GR_SGS__20170728T143139_S20170728T111029_D10_N02.05', 'S2A_OPER_MSI_L0__GR_SGS__20170728T143139_S20170728T111032_D09_N02.05', 'S2A_OPER_MSI_L0__GR_SGS__20170728T143139_S20170728T111032_D10_N02.05']",S2A_MSIL1C_20170728T105621_N0205_R094_T30SWH_20170728T110406,"{0: [[[299, 1005], [319, 1076], [390, 1056], [370, 985], [299, 1005]], [[359, 1050], [369, 1101], [423, 1084], [407, 1039], [359, 1050]], [[366, 1068], [381, 1121], [430, 1107], [415, 1054], [366, 1068]], [[351, 1091], [365, 1141], [424, 1124], [410, 1074], [351, 1091]], [[341, 1104], [355, 1157], [403, 1141], [389, 1094], [341, 1104]]]}","{0: [[[[361, 1063], [366, 1086], [351, 1091], [353, 1101], [341, 1104], [355, 1157], [403, 1141], [399, 1130], [424, 1124], [420, 1109], [430, 1107], [415, 1054], [412, 1054], [407, 1039], [386, 1043], [370, 985], [299, 1005], [319, 1076], [361, 1063]]]]}","POLYGON((-2.4182678239121578 38.30976394394665, -2.4184670828069628 38.562005347390915, -2.303732917193037 38.56200534739092, -2.303932176087842 38.30976394394665, -2.4182678239121578 38.30976394394665))" \ No newline at end of file