pyAudioAnalaysis не смог обучить модели
Я пытаюсь обучить модель SVM с предварительно загруженным кодом из файлов кода пакета "pyAudioAnalysis/tests/script_train_classifiers_all.py"
from __future__ import print_function
from pyAudioAnalysis import audioTrainTest as aT
import argparse
def parseArguments():
parser = argparse.ArgumentParser(prog='PROG')
parser.add_argument('-d' , '--data_folder',
nargs=None,
default="/Users/hazem/ResearchData/"
"Audio Dataset/pyAudioAnalysisData/")
parser.add_argument('-c', '--classifier_type', nargs=None, required=True,
choices = ["knn", "svm", "svm_rbf", "randomforest",
"extratrees", "gradientboosting"],
help="Classifier type")
parser.add_argument('-t', '--task', nargs=None, required=True,
choices = ["sm", "movie8", "speakers", "speaker-gender",
"music-genre6", "4class"],
help="Classification task")
args = parser.parse_args()
return args
if __name__ == '__main__':
args = parseArguments()
root_data_path = args.data_folder
classifier_type = args.classifier_type
if args.task == "sm":
aT.extract_features_and_train([root_data_path +"SM/speech",
root_data_path + "SM/music"],
1.0, 1.0, 0.05, 0.05, classifier_type,
classifier_type + "_sm", False)
elif args.task == "movie8":
aT.extract_features_and_train([root_data_path + "movieSegments/8-class/Speech",
root_data_path + "movieSegments/8-class/Music",
root_data_path + "movieSegments/8-class/Others1",
root_data_path + "movieSegments/8-class/Others2",
root_data_path + "movieSegments/8-class/Others3",
root_data_path + "movieSegments/8-class/Shots",
root_data_path + "movieSegments/8-class/Fights",
root_data_path + "movieSegments/8-class/Screams"],
1.0, 1.0, 0.05, 0.05, classifier_type,
classifier_type + "_movie8class", False)
elif args.task == "speakers":
aT.extract_features_and_train([root_data_path + "speakerAll/F1",
root_data_path + "speakerAll/F2",
root_data_path + "speakerAll/F3",
root_data_path + "speakerAll/F4",
root_data_path + "speakerAll/F5",
root_data_path + "speakerAll/M1",
root_data_path + "speakerAll/M2",
root_data_path + "speakerAll/M3",
root_data_path + "speakerAll/M4",
root_data_path + "speakerAll/M5"],
1.0, 1.0, 0.05, 0.05, classifier_type,
classifier_type + "_speaker_10", False)
elif args.task == "speaker-gender":
aT.extract_features_and_train([root_data_path + "speakerMaleFemale/Male",
root_data_path + "speakerMaleFemale/Female"],
1.0, 1.0, 0.05, 0.05, classifier_type,
classifier_type + "_speaker_male_female", False)
elif args.task == "music-genre6":
aT.extract_features_and_train([root_data_path + "musicalGenreClassification/Blues",
root_data_path + "musicalGenreClassification/Classical",
root_data_path + "musicalGenreClassification/Electronic",
root_data_path + "musicalGenreClassification/Jazz",
root_data_path + "musicalGenreClassification/Rap",
root_data_path + "musicalGenreClassification/Rock"],
1.0, 1.0, 0.05, 0.05, classifier_type,
classifier_type + "_musical_genre_6", True)
elif args.task == "4class":
aT.extract_features_and_train([root_data_path + "4class/speech",
root_data_path + "4class/music",
root_data_path + "4class/silence",
root_data_path + "4class/other"],
1.0, 1.0, 0.05, 0.05, classifier_type,
classifier_type + "_4class", False)
и я запускаю этот сценарий с этими параметрами '$ python3 script_train_classifiers_all.py -d "/Users/Hazem/ResearchData/Audio Dataset/pyAudioAnalysisData/" -c svm_rbf -t sm ' и получаю это сообщение
'trainSVM_feature ОШИБКА: данные не найдены ни в одной входной папке!'