|
|
|
@ -36,7 +36,6 @@ parser = argparse.ArgumentParser(description='Generate a new image by applying s
|
|
|
|
add_arg = parser.add_argument
|
|
|
|
add_arg = parser.add_argument
|
|
|
|
add_arg('files', nargs='*', default=[])
|
|
|
|
add_arg('files', nargs='*', default=[])
|
|
|
|
add_arg('--scales', default=2, type=int, help='How many times to perform 2x upsampling.')
|
|
|
|
add_arg('--scales', default=2, type=int, help='How many times to perform 2x upsampling.')
|
|
|
|
add_arg('--model', default='medium', type=str, help='Name of the neural network to load/save.')
|
|
|
|
|
|
|
|
add_arg('--model', default='small', type=str, help='Name of the neural network to load/save.')
|
|
|
|
add_arg('--model', default='small', type=str, help='Name of the neural network to load/save.')
|
|
|
|
add_arg('--train', default=False, type=str, help='File pattern to load for training.')
|
|
|
|
add_arg('--train', default=False, type=str, help='File pattern to load for training.')
|
|
|
|
add_arg('--batch-resolution', default=192, type=int, help='Resolution of images in training batch.')
|
|
|
|
add_arg('--batch-resolution', default=192, type=int, help='Resolution of images in training batch.')
|
|
|
|
|