Fix metavar for --input-size

Author: JosuaRieder

benchmark.py

@@ -88,8 +88,8 @@
                     metavar='N', help='mini-batch size (default: 256)')
 parser.add_argument('--img-size', default=None, type=int,
                     metavar='N', help='Input image dimension, uses model default if empty')
-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('--input-size', default=None, nargs=3, type=int, metavar='N',
+                    help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 parser.add_argument('--use-train-size', action='store_true', default=False,
                     help='Run inference at train size, not test-input-size if it exists.')
 parser.add_argument('--num-classes', type=int, default=None,

inference.py

@@ -69,8 +69,8 @@
                     metavar='N', help='Input image dimension, uses model default if empty')
 parser.add_argument('--in-chans', type=int, default=None, metavar='N',
                     help='Image input channels (default: None => 3)')
-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('--input-size', default=None, nargs=3, type=int, metavar='N',
+                    help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 parser.add_argument('--use-train-size', action='store_true', default=False,
                     help='force use of train input size, even when test size is specified in pretrained cfg')
 parser.add_argument('--crop-pct', default=None, type=float,

train.py

@@ -128,8 +128,7 @@
                    help='Image size (default: None => model default)')
 group.add_argument('--in-chans', type=int, default=None, metavar='N',
                    help='Image input channels (default: None => 3)')
-group.add_argument('--input-size', default=None, nargs=3, type=int,
-                   metavar='N N N',
+group.add_argument('--input-size', default=None, nargs=3, type=int, metavar='N',
                    help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 group.add_argument('--crop-pct', default=None, type=float,
                    metavar='N', help='Input image center crop percent (for validation only)')

validate.py

@@ -81,8 +81,8 @@
                     metavar='N', help='Input image dimension, uses model default if empty')
 parser.add_argument('--in-chans', type=int, default=None, metavar='N',
                     help='Image input channels (default: None => 3)')
-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('--input-size', default=None, nargs=3, type=int, metavar='N',
+                    help='Input all image dimensions (d h w, e.g. --input-size 3 224 224), uses model default if empty')
 parser.add_argument('--use-train-size', action='store_true', default=False,
                     help='force use of train input size, even when test size is specified in pretrained cfg')
 parser.add_argument('--crop-pct', default=None, type=float,