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The MXNet Implementation of Enhanced SSH (ESSH) for Face Detection and Alignment

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Can enhanced-ssh-mxnet for multi class classification ?And what should i do?

I tried to follow your instructions to modify config.py and the result shows quite different from the pretrained model. The sshb result looks quite good but the e2e RPNL1Loss seems...

Thanks for your sharing. I have a question about bounding box. When I run test.py, there are not only one bounding box on a face. How to set the threshold...

which dataset?how to train?

Excuse me, what is the content of enhanced detection? Is that the original accuracy of mxnet-ssh?