[GitHub] jwfromm commented on issue #8978: Very Low Accuracy When Using Pretrained Model

[GitBox <gi...@apache.org>]

jwfromm commented on issue #8978: Very Low Accuracy When Using Pretrained Model
URL: https://github.com/apache/incubator-mxnet/issues/8978#issuecomment-350112503
 
 
   The issue turned out to be that both scaling and normalization are needed to match the pytorch transforms.
   
   ```
   def transformer(data, label):
       data = mx.image.imresize(data, 256, 256)
       data, _ = mx.image.center_crop(data, (224, 224))
       data = data.astype(np.float32)
       data = data/255
       data = mx.image.color_normalize(data,
                                       mean=mx.nd.array([0.485, 0.456, 0.406]),
                                       std=mx.nd.array([0.229, 0.224, 0.225])) 
       data = mx.nd.transpose(data, (2,0,1))
       return data, label
   ```

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