jonbakerfish commented on issue #10935: When are the images converted to range(0,1) in pre-trained resnet50_v2 on imagenet? URL: https://github.com/apache/incubator-mxnet/issues/10935#issuecomment-388846795 Hi @chinakook, If you run this code: im = mx.nd.random_uniform(shape=(3, 10, 10)) * 255 im_ = mx.nd.image.normalize(im, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)) print im_.min(),im_.max() you will get something like: [-1.89502692] <NDArray 1 @cpu(0)> [ 1131.16967773] <NDArray 1 @cpu(0)> I think the mean and std are for images which are in range (0,1), not for the images in range (0,255). So before doing `image.normalize`, `im=im/255` should be done somewhere else.
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