use cuda from argparse

run_CNN.py

@@ -14,6 +14,7 @@ parser.add_argument('specie', type=str, help='Target specie to detect', choices=
 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('-channel', type=int, help='Channel of the audio file to use in the model inference (starting from 0)', default=0)
++parser.add_argument('-cuda', type=int, help='GPU id to use', default=0)
 parser.add_argument('-maxPool', help='Wether to keep only the maximal prediction of each sample or the full sequence', action='store_true'),
 parser.add_argument('-no-maxPool', dest='maxPool', action='store_false')
 parser.add_argument('-output_filename', type=str, help='Name of the output file for saving predictions', default='')