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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,36 @@ | ||
| #!/bin/bash | ||
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| N_THREADS=30 | ||
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| # ------------------------------------------------------------------------------------ # | ||
| # itadata 2024 # | ||
| # ------------------------------------------------------------------------------------ # | ||
| # n=1 | ||
| # session="session_"$n | ||
| # tmux new-session -d -s $session | ||
| # tmux send-keys -t $session 'julia -i -t '$N_THREADS' ravdess_emotion_2bins.jl ' Enter | ||
| # [ -n "${TMUX:-}" ] | ||
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| n=2 | ||
| session="session_"$n | ||
| tmux new-session -d -s $session | ||
| tmux send-keys -t $session 'julia -i -t '$N_THREADS' ravdess_emotion_8bins.jl ' Enter | ||
| [ -n "${TMUX:-}" ] | ||
|
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| # n=3 | ||
| # session="session_"$n | ||
| # tmux new-session -d -s $session | ||
| # tmux send-keys -t $session 'julia -i -t '$N_THREADS' respiratory_pneumonia.jl ' Enter | ||
| # [ -n "${TMUX:-}" ] | ||
|
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||
| # n=5 | ||
| # session="session_"$n | ||
| # tmux new-session -d -s $session | ||
| # tmux send-keys -t $session 'julia -i -t '$N_THREADS' respiratory_copd.jl ' Enter | ||
| # [ -n "${TMUX:-}" ] | ||
|
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| # n=5 | ||
| # session="session_"$n | ||
| # tmux new-session -d -s $session | ||
| # tmux send-keys -t $session 'julia -i -t '$N_THREADS' respiratory_bronchiolitis.jl ' Enter | ||
| # [ -n "${TMUX:-}" ] |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,130 @@ | ||
| using DataFrames, JLD2 | ||
| using SoleAudio, Random | ||
| # using Plots | ||
|
|
||
| # TODO | ||
| # scrivi un file text con tutti i settaggi usati | ||
| # output formattato per latex su un file.tex | ||
|
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||
| # -------------------------------------------------------------------------- # | ||
| # experiment specific parameters # | ||
| # -------------------------------------------------------------------------- # | ||
| # wav_path ="/home/paso/Documents/Aclai/Datasets/health_recognition/Respiratory_Sound_Database/audio_partitioned" | ||
| # csv_path = "/home/paso/Documents/Aclai/Datasets/health_recognition/Respiratory_Sound_Database" | ||
| wav_path ="/home/paso/datasets/health_recognition/Respiratory_Sound_Database/audio_partitioned" | ||
| csv_path = "/home/paso/datasets/health_recognition/Respiratory_Sound_Database" | ||
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| csv_file = csv_path * "/" * "patient_diagnosis.csv" | ||
|
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| # classes = :Pneumonia | ||
| # classes = :COPD | ||
| # classes = :URTI | ||
| # classes = :Bronchiectasis | ||
| classes = :Bronchiolitis | ||
| # classes = :resp4bins | ||
|
|
||
| if classes == :Pneumonia | ||
| classes_dict = Dict{String,String}( | ||
| "Pneumonia" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :COPD | ||
| classes_dict = Dict{String,String}( | ||
| "COPD" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :URTI | ||
| classes_dict = Dict{String,String}( | ||
| "URTI" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :Bronchiectasis | ||
| classes_dict = Dict{String,String}( | ||
| "Bronchiectasis" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :Bronchiolitis | ||
| classes_dict = Dict{String,String}( | ||
| "Bronchiolitis" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :resp4bins | ||
| classes_dict = Dict{String,String}( | ||
| "Pneumonia" => "pneumonia", | ||
| "COPD" => "copd", | ||
| "URTI" => "urti", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| end | ||
|
|
||
| fragmented = true | ||
| frag_func(filename) = match(r"^(\d+)", filename)[1] | ||
|
|
||
| header = false | ||
| id_labels = :Column1 | ||
| label_labels = :Column2 | ||
|
|
||
| # -------------------------------------------------------------------------- # | ||
| # global parameters # | ||
| # -------------------------------------------------------------------------- # | ||
| featset = (:mel, :mfcc, :spectrals) | ||
|
|
||
| audioparams = let sr = 8000 | ||
| ( | ||
| sr = sr, | ||
| norm = true, | ||
| speech_detect = true, | ||
| sdetect_thresholds=(0,0), | ||
| sdetect_spread_threshold=0.02, | ||
| nfft = 256, | ||
| mel_scale = :mel_htk, # :mel_htk, :mel_slaney, :erb, :bark, :semitones, :tuned_semitones | ||
| mel_nbands = 26, | ||
| mfcc_ncoeffs = 13, | ||
| mel_freqrange = (0, round(Int, sr / 2)), | ||
| ) | ||
| end | ||
|
|
||
| # min_length = 11500 | ||
| # min_samples = 400 | ||
|
|
||
| # only for debugging | ||
| min_length = 16000 | ||
| min_samples = 6 | ||
|
|
||
| features = :catch9 | ||
| # features = :minmax | ||
| # features = :custom | ||
|
|
||
| # modal analysis | ||
| nwindows = 20 | ||
| relative_overlap = 0.05 | ||
|
|
||
| # partitioning | ||
| train_ratio = 0.8 | ||
| train_seed = 11 | ||
| rng = Random.MersenneTwister(train_seed) | ||
|
|
||
| # -------------------------------------------------------------------------- # | ||
| # main # | ||
| # -------------------------------------------------------------------------- # | ||
| irules = get_interesting_rules( | ||
| wav_path=wav_path, | ||
| csv_file=csv_file, | ||
| classes_dict=classes_dict, | ||
| fragmented=fragmented, | ||
| frag_func=frag_func, | ||
| header=header, | ||
| id_labels=id_labels, | ||
| label_labels=label_labels, | ||
| featset=featset, | ||
| audioparams=audioparams, | ||
| min_length=min_length, | ||
| min_samples=min_samples, | ||
| features=features, | ||
| nwindows=nwindows, | ||
| relative_overlap=relative_overlap, | ||
| train_ratio=train_ratio, | ||
| rng=rng, | ||
| ) | ||
|
|
||
| jldsave("respiratory_bronchiolitis.jld2", true; irules) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,130 @@ | ||
| using DataFrames, JLD2 | ||
| using SoleAudio, Random | ||
| # using Plots | ||
|
|
||
| # TODO | ||
| # scrivi un file text con tutti i settaggi usati | ||
| # output formattato per latex su un file.tex | ||
|
|
||
| # -------------------------------------------------------------------------- # | ||
| # experiment specific parameters # | ||
| # -------------------------------------------------------------------------- # | ||
| # wav_path ="/home/paso/Documents/Aclai/Datasets/health_recognition/Respiratory_Sound_Database/audio_partitioned" | ||
| # csv_path = "/home/paso/Documents/Aclai/Datasets/health_recognition/Respiratory_Sound_Database" | ||
| wav_path ="/home/paso/datasets/health_recognition/Respiratory_Sound_Database/audio_partitioned" | ||
| csv_path = "/home/paso/datasets/health_recognition/Respiratory_Sound_Database" | ||
|
|
||
| csv_file = csv_path * "/" * "patient_diagnosis.csv" | ||
|
|
||
| # classes = :Pneumonia | ||
| classes = :COPD | ||
| # classes = :URTI | ||
| # classes = :Bronchiectasis | ||
| # classes = :Bronchiolitis | ||
| # classes = :resp4bins | ||
|
|
||
| if classes == :Pneumonia | ||
| classes_dict = Dict{String,String}( | ||
| "Pneumonia" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :COPD | ||
| classes_dict = Dict{String,String}( | ||
| "COPD" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :URTI | ||
| classes_dict = Dict{String,String}( | ||
| "URTI" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :Bronchiectasis | ||
| classes_dict = Dict{String,String}( | ||
| "Bronchiectasis" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :Bronchiolitis | ||
| classes_dict = Dict{String,String}( | ||
| "Bronchiolitis" => "sick", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| elseif classes == :resp4bins | ||
| classes_dict = Dict{String,String}( | ||
| "Pneumonia" => "pneumonia", | ||
| "COPD" => "copd", | ||
| "URTI" => "urti", | ||
| "Healthy" => "healthy", | ||
| ) | ||
| end | ||
|
|
||
| fragmented = true | ||
| frag_func(filename) = match(r"^(\d+)", filename)[1] | ||
|
|
||
| header = false | ||
| id_labels = :Column1 | ||
| label_labels = :Column2 | ||
|
|
||
| # -------------------------------------------------------------------------- # | ||
| # global parameters # | ||
| # -------------------------------------------------------------------------- # | ||
| featset = (:mel, :mfcc, :spectrals) | ||
|
|
||
| audioparams = let sr = 8000 | ||
| ( | ||
| sr = sr, | ||
| norm = true, | ||
| speech_detect = true, | ||
| sdetect_thresholds=(0,0), | ||
| sdetect_spread_threshold=0.02, | ||
| nfft = 256, | ||
| mel_scale = :mel_htk, # :mel_htk, :mel_slaney, :erb, :bark, :semitones, :tuned_semitones | ||
| mel_nbands = 26, | ||
| mfcc_ncoeffs = 13, | ||
| mel_freqrange = (0, round(Int, sr / 2)), | ||
| ) | ||
| end | ||
|
|
||
| # min_length = 11500 | ||
| # min_samples = 400 | ||
|
|
||
| # only for debugging | ||
| min_length = 16000 | ||
| min_samples = 6 | ||
|
|
||
| features = :catch9 | ||
| # features = :minmax | ||
| # features = :custom | ||
|
|
||
| # modal analysis | ||
| nwindows = 20 | ||
| relative_overlap = 0.05 | ||
|
|
||
| # partitioning | ||
| train_ratio = 0.8 | ||
| train_seed = 11 | ||
| rng = Random.MersenneTwister(train_seed) | ||
|
|
||
| # -------------------------------------------------------------------------- # | ||
| # main # | ||
| # -------------------------------------------------------------------------- # | ||
| irules = get_interesting_rules( | ||
| wav_path=wav_path, | ||
| csv_file=csv_file, | ||
| classes_dict=classes_dict, | ||
| fragmented=fragmented, | ||
| frag_func=frag_func, | ||
| header=header, | ||
| id_labels=id_labels, | ||
| label_labels=label_labels, | ||
| featset=featset, | ||
| audioparams=audioparams, | ||
| min_length=min_length, | ||
| min_samples=min_samples, | ||
| features=features, | ||
| nwindows=nwindows, | ||
| relative_overlap=relative_overlap, | ||
| train_ratio=train_ratio, | ||
| rng=rng, | ||
| ) | ||
|
|
||
| jldsave("respiratory_copd.jld2", true; irules) |
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