northeastsquare opened a new issue #17695: mxnet inference wrong URL: https://github.com/apache/incubator-mxnet/issues/17695 ## Description I train mask classification, validation acc:98%, but inference with train and val image, many case is wrong, maybe 25% is wrong the codes in:https://github.com/northeastsquare/mxnet_mask_classification ## Occurrences in training:  but inference:  because all the image's class is 1, so the result is not right ## What have you tried to solve it? 1. use this to save checkpoint: export_block('mobilenetv2-0.5-new', net,preprocess=True, ctx=mx.gpu(0)), and inference no need to subtract mean, divide std. 2. use inference.py to inference the result, but are wrong
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