()
return parser.parse_args()
Parse all the arguments provided from the CLI.
    
    Returns:
      A list of parsed arguments.
Parse all the arguments provided from the CLI.
    
    Returns:
      A list of parsed arguments.
Parse all the arguments provided from the CLI . Returns : A list of parsed arguments .
def get_arguments():
    """Parse all the arguments provided from the CLI.
    
    Returns:
      A list of parsed arguments.
    """
    parser = argparse.ArgumentParser(description="CE2P Network")
    parser.add_argument("--batch-size", type=int, default=1,
                        help="Number of images sent to the network in one step.")
    parser.add_argument("--data-dir", type=str, default=DATA_DIRECTORY,
                        help="Path to the directory containing the PASCAL VOC dataset.")
    parser.add_argument("--dataset", type=str, default='val',
                        help="Path to the file listing the images in the dataset.")
    parser.add_argument("--ignore-label", type=int, default=IGNORE_LABEL,
                        help="The index of the label to ignore during the training.")
    parser.add_argument("--num-classes", type=int, default=NUM_CLASSES,
                        help="Number of classes to predict (including background).")
    parser.add_argument("--restore-from", type=str,
                        help="Where restore model parameters from.")
    parser.add_argument("--gpu", type=str, default='0',
                        help="choose gpu device.")
    parser.add_argument("--input-size", type=str, default=INPUT_SIZE,
                        help="Comma-separated string with height and width of images.")

    return parser.parse_args()
def get_arguments ( ) : parser = argparse . ArgumentParser ( description = "CE2P Network" ) parser . add_argument ( "--batch-size" , type = int , default = 1 , help = "Number of images sent to the network in one step." ) parser . add_argument ( "--data-dir" , type = str , default = DATA_DIRECTORY , help = "Path to the directory containing the PASCAL VOC dataset." ) parser . add_argument ( "--dataset" , type = str , default = 'val' , help = "Path to the file listing the images in the dataset." ) parser . add_argument ( "--ignore-label" , type = int , default = IGNORE_LABEL , help = "The index of the label to ignore during the training." ) parser . add_argument ( "--num-classes" , type = int , default = NUM_CLASSES , help = "Number of classes to predict (including background)." ) parser . add_argument ( "--restore-from" , type = str , help = "Where restore model parameters from." ) parser . add_argument ( "--gpu" , type = str , default = '0' , help = "choose gpu device." ) parser . add_argument ( "--input-size" , type = str , default = INPUT_SIZE , help = "Comma-separated string with height and width of images." ) return parser . parse_args ( )