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. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
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