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#!/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 |
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using DataFrames, JLD2 | ||
using SoleAudio, Random | ||
# using Plots | ||
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# 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 | ||
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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 | ||
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fragmented = true | ||
frag_func(filename) = match(r"^(\d+)", filename)[1] | ||
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header = false | ||
id_labels = :Column1 | ||
label_labels = :Column2 | ||
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# -------------------------------------------------------------------------- # | ||
# global parameters # | ||
# -------------------------------------------------------------------------- # | ||
featset = (:mel, :mfcc, :spectrals) | ||
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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 | ||
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# min_length = 11500 | ||
# min_samples = 400 | ||
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# only for debugging | ||
min_length = 16000 | ||
min_samples = 6 | ||
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features = :catch9 | ||
# features = :minmax | ||
# features = :custom | ||
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# modal analysis | ||
nwindows = 20 | ||
relative_overlap = 0.05 | ||
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# partitioning | ||
train_ratio = 0.8 | ||
train_seed = 11 | ||
rng = Random.MersenneTwister(train_seed) | ||
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# -------------------------------------------------------------------------- # | ||
# 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, | ||
) | ||
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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" | ||
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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 | ||
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fragmented = true | ||
frag_func(filename) = match(r"^(\d+)", filename)[1] | ||
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||
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 | ||
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||
# min_length = 11500 | ||
# min_samples = 400 | ||
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||
# only for debugging | ||
min_length = 16000 | ||
min_samples = 6 | ||
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||
features = :catch9 | ||
# features = :minmax | ||
# features = :custom | ||
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||
# modal analysis | ||
nwindows = 20 | ||
relative_overlap = 0.05 | ||
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# partitioning | ||
train_ratio = 0.8 | ||
train_seed = 11 | ||
rng = Random.MersenneTwister(train_seed) | ||
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||
# -------------------------------------------------------------------------- # | ||
# 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, | ||
) | ||
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jldsave("respiratory_copd.jld2", true; irules) |
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