rahul003 commented on a change in pull request #11027: Add standard ResNet data
augmentation for ImageRecordIter
URL: https://github.com/apache/incubator-mxnet/pull/11027#discussion_r194184683
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File path: example/image-classification/common/data.py
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@@ -63,6 +65,20 @@ def add_data_aug_args(parser):
help='max ratio to scale')
aug.add_argument('--min-random-scale', type=float, default=1,
help='min ratio to scale, should >= img_size/input_shape.
otherwise use --pad-size')
+ aug.add_argument('--max-random-area', type=float, default=1,
+ help='max area to crop in random resized crop, whose
range is [0, 1]')
+ aug.add_argument('--min-random-area', type=float, default=1,
+ help='min area to crop in random resized crop, whose
range is [0, 1]')
+ aug.add_argument('--brightness', type=float, default=0,
Review comment:
I think it would be better to set defaults to the values we know work well,
so that this script is runnable easily. Especially since we no longer set the
aug level in train_imagenet.py
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