parser=argparse.ArgumentParser(description="Run this script to use a CNN for the detection of cetacean vocalizations on a folder of audio files.")
parser=argparse.ArgumentParser(description="Run this script to use a CNN for the detection of cetacean vocalizations on a folder of audio files.")
parser.add_argument('audio_folder',type=str,help='Path of the folder with audio files to process')
parser.add_argument('audio_folder',type=str,help='Path of the folder with audio files to process')
parser.add_argument('specie',type=str,help='Target specie to detect',choices=['megaptera','delphinid','orcinus','physeter','balaenoptera'])
parser.add_argument('specie',type=str,help='Target specie to detect',choices=['megaptera','delphinid','orcinus','physeter','balaenoptera','globicephala'])
parser.add_argument('-lensample',type=float,help='Length of the signal for each sample (in seconds)',default=5),
parser.add_argument('-lensample',type=float,help='Length of the signal for each sample (in seconds)',default=5),
parser.add_argument('-batch_size',type=int,help='Amount of samples to process at a time (usefull for parallel computation using a GPU)',default=32),
parser.add_argument('-batch_size',type=int,help='Amount of samples to process at a time (usefull for parallel computation using a GPU)',default=32),
parser.add_argument('-channel',type=int,help='Channel of the audio file to use in the model inference (starting from 0)',default=0)
parser.add_argument('-channel',type=int,help='Channel of the audio file to use in the model inference (starting from 0)',default=0)
