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https://github.com/huggingface/pytorch-image-models.git
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Fix metavar for --input-size
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5d535d7a2d
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@ -88,8 +88,8 @@ parser.add_argument('-b', '--batch-size', default=256, type=int,
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metavar='N', help='mini-batch size (default: 256)')
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parser.add_argument('--img-size', default=None, type=int,
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metavar='N', help='Input image dimension, uses model default if empty')
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parser.add_argument('--input-size', default=None, nargs=3, type=int,
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metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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parser.add_argument('--input-size', default=None, nargs=3, type=int, metavar='N',
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help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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parser.add_argument('--use-train-size', action='store_true', default=False,
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help='Run inference at train size, not test-input-size if it exists.')
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parser.add_argument('--num-classes', type=int, default=None,
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@ -69,8 +69,8 @@ parser.add_argument('--img-size', default=None, type=int,
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metavar='N', help='Input image dimension, uses model default if empty')
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parser.add_argument('--in-chans', type=int, default=None, metavar='N',
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help='Image input channels (default: None => 3)')
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parser.add_argument('--input-size', default=None, nargs=3, type=int,
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metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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parser.add_argument('--input-size', default=None, nargs=3, type=int, metavar='N',
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help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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parser.add_argument('--use-train-size', action='store_true', default=False,
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help='force use of train input size, even when test size is specified in pretrained cfg')
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parser.add_argument('--crop-pct', default=None, type=float,
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3
train.py
3
train.py
@ -128,8 +128,7 @@ group.add_argument('--img-size', type=int, default=None, metavar='N',
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help='Image size (default: None => model default)')
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group.add_argument('--in-chans', type=int, default=None, metavar='N',
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help='Image input channels (default: None => 3)')
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group.add_argument('--input-size', default=None, nargs=3, type=int,
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metavar='N N N',
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group.add_argument('--input-size', default=None, nargs=3, type=int, metavar='N',
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help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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group.add_argument('--crop-pct', default=None, type=float,
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metavar='N', help='Input image center crop percent (for validation only)')
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@ -81,8 +81,8 @@ parser.add_argument('--img-size', default=None, type=int,
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metavar='N', help='Input image dimension, uses model default if empty')
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parser.add_argument('--in-chans', type=int, default=None, metavar='N',
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help='Image input channels (default: None => 3)')
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parser.add_argument('--input-size', default=None, nargs=3, type=int,
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metavar='N N N', help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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parser.add_argument('--input-size', default=None, nargs=3, type=int, metavar='N',
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help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
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parser.add_argument('--use-train-size', action='store_true', default=False,
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help='force use of train input size, even when test size is specified in pretrained cfg')
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parser.add_argument('--crop-pct', default=None, type=float,
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