[GitHub] zhreshold commented on issue #7419: Add resnet50_v2, resnet101_V2 and resnet152_v2 gluon pre-trained model

[gi...@git.apache.org]

zhreshold commented on issue #7419: Add resnet50_v2, resnet101_V2 and resnet152_v2 gluon pre-trained model
URL: https://github.com/apache/incubator-mxnet/pull/7419#issuecomment-322586548
 
 
   @kevinthesun @szha  Validation on these three models are bad, basically around 0.001 accuracy. So I guess these weights are not correctly handled.
   The iterator I used:
   ```
   val_iter = mx.image.ImageIter(args.batch_size, data_shape, path_imgrec=args.val_rec,
                                 shuffle=False, mean=True, std=True, resize=256)
   
   ```
   I've used the same iterator to test v1 models, which are good.
 
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