|
|
|
@ -75,9 +75,9 @@ parser.add_argument('data_dir', metavar='DIR',
|
|
|
|
|
help='path to dataset')
|
|
|
|
|
parser.add_argument('--dataset', '-d', metavar='NAME', default='',
|
|
|
|
|
help='dataset type (default: ImageFolder/ImageTar if empty)')
|
|
|
|
|
parser.add_argument('--train-split', metavar='NAME', default='train',
|
|
|
|
|
parser.add_argument('--train_split', metavar='NAME', default='train',
|
|
|
|
|
help='dataset train split (default: train)')
|
|
|
|
|
parser.add_argument('--val-split', metavar='NAME', default='validation',
|
|
|
|
|
parser.add_argument('--val_split', metavar='NAME', default='validation',
|
|
|
|
|
help='dataset validation split (default: validation)')
|
|
|
|
|
parser.add_argument('--model', default='resnet101', type=str, metavar='MODEL',
|
|
|
|
|
help='Name of model to train (default: "countception"')
|
|
|
|
@ -93,9 +93,9 @@ parser.add_argument('--num-classes', type=int, default=None, metavar='N',
|
|
|
|
|
help='number of label classes (Model default if None)')
|
|
|
|
|
parser.add_argument('--gp', default=None, type=str, metavar='POOL',
|
|
|
|
|
help='Global pool type, one of (fast, avg, max, avgmax, avgmaxc). Model default if None.')
|
|
|
|
|
parser.add_argument('--img-size', type=int, default=None, metavar='N',
|
|
|
|
|
parser.add_argument('--img_size', type=int, default=None, metavar='N',
|
|
|
|
|
help='Image patch size (default: None => model default)')
|
|
|
|
|
parser.add_argument('--input-size', default=None, nargs=3, type=int,
|
|
|
|
|
parser.add_argument('--input_size', default=None, nargs=3, type=int,
|
|
|
|
|
metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
|
|
|
|
|
parser.add_argument('--crop-pct', default=None, type=float,
|
|
|
|
|
metavar='N', help='Input image center crop percent (for validation only)')
|
|
|
|
|