def main():
args = parse_args()
if not os.path.isdir(args.audio_corpus_path):
print("Given audio corpus path is not a directory")
sys.exit(1)
if not os.path.exists(args.audio_corpus_path):
print("Given audio corpus path doesn't exist.")
sys.exit(1)
corpus_classes = obtain_corpus_classes(args.audio_corpus_path)
if args.is_verbose:
print("CORPUS CLASSES")
print("------------------------")
print(corpus_classes)
phonetic_matrix = process_corpus(args.audio_corpus_path, is_verbose=args.is_verbose)
df_phonetic_results = pd.DataFrame(phonetic_matrix, columns=PHONETIC_FEATURES)
print_results(df_phonetic_results)
output_path = args.features_output_path if args.features_output_path else PHONETIC_FEATURES_EXPORT_PATH
export_dataframe(df_phonetic_results, output_path)
def main():
args = parse_args()
if not os.path.isdir(args.corpus_path):
print("Given corpus path is not a directory")
sys.exit(1)
if not os.path.exists(args.corpus_path):
print("Given corpus path doesn't exist.")
sys.exit(1)
if args.interjections_conf_path and not os.path.exists(args.interjections_conf_path):
print("Given interjections config file path doesn't exist.")
sys.exit(1)
if args.expressions_conf_path and not os.path.exists(args.expressions_conf_path):
print("Given expressions config file path doesn't exist.")
sys.exit(1)
corpus_classes = obtain_corpus_classes(args.corpus_path)
if args.is_verbose:
print("CORPUS CLASSES")
print("------------------------")
print(corpus_classes)
cleaning_results = process_corpus(args.corpus_path, args.synonyms_conf_path,
args.interjections_conf_path, args.expressions_conf_path, args.is_verbose)
df_cleaning_results = pd.DataFrame(cleaning_results)
print_results(df_cleaning_results)
output_path = args.features_output_path if args.features_output_path else MARKERS_DISTRIBUTION_PATH
export_dataframe(df_cleaning_results, output_path)
def main():
args = parse_args()
if not os.path.isdir(args.corpus_path):
print("Given corpus path is not a directory")
sys.exit(1)
if not os.path.exists(args.corpus_path):
print("Given corpus path doesn't exist.")
sys.exit(1)
corpus_classes = obtain_corpus_classes(args.corpus_path)
if args.is_verbose:
print("CORPUS CLASSES")
print("------------------------")
print(corpus_classes)
pos_distribution = process_corpus(args.corpus_path, args.is_verbose)
df_pos_distribution = pd.DataFrame(pos_distribution)
print_results(df_pos_distribution)
output_path = args.features_output_path if args.features_output_path else POS_DISTRIBUTION_FEATURES_PATH
export_dataframe(df_pos_distribution, output_path)
def main():
args = parse_args()
if not os.path.isdir(args.corpus_path):
print("Given corpus path is not a directory")
sys.exit(1)
if not os.path.exists(args.corpus_path):
print("Given corpus path doesn't exist.")
sys.exit(1)
if not args.language_code:
print("Missing language code.")
sys.exit(1)
spacy_model = get_spacy_model(language_code=args.language_code)
corpus_classes = obtain_corpus_classes(args.corpus_path)
if args.is_verbose:
print("CORPUS CLASSES")
print("------------------------")
print(corpus_classes)
process_corpus(args.corpus_path,
spacy_model,
universal_tag=args.universal_tag)
print("-------------------")
print("POS tagging task done.")
def main():
args = parse_args()
if not os.path.isdir(args.corpus_path):
print("Given corpus path is not a directory")
sys.exit(1)
if not os.path.exists(args.corpus_path):
print("Given corpus path doesn't exist.")
sys.exit(1)
corpus_classes = obtain_corpus_classes(args.corpus_path)
if args.is_verbose:
print("CORPUS CLASSES")
print("------------------------")
print(corpus_classes)
adjustment_results = process_corpus(args.corpus_path, args.is_verbose)
print_results(adjustment_results)
def main():
args = parse_args()
# On vérifie que les path sont valide
if not os.path.isdir(args.corpus_path):
print("Given corpus path is not a directory")
sys.exit(1)
if not os.path.exists(args.corpus_path):
print("Given corpus path doesn't exist.")
sys.exit(1)
# On énumère les différentes classes du dataset (e.g : AD, SD, CTRL, etc.)
corpus_classes = obtain_corpus_classes(args.corpus_path)
if args.is_verbose:
print("CORPUS CLASSES")
print("------------------------")
print(corpus_classes)
adjustment_results = process_corpus(args.corpus_path, args.is_verbose)
print_results(adjustment_results)