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HRNet / HRNet-Facial-Landmark-Detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
MIT License
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About Inference Time #48

Closed starhiking closed 4 years ago

starhiking commented 4 years ago

When I run tools/test.py with WFLW dataset , It may cost 115s on single 2080Ti, 85s on 4 2080Tis. And the CPU cost is high with 300% , but gpu always cost 0% and gpu-memory is very low even though set batchsize as 256.

So It is working fine? If not, can u tell me how to do with it.

starhiking commented 4 years ago

Can you share your train time and test time in one-epoch's data

wondervictor commented 4 years ago

We've provided training and testing logs in this issue #4