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This is SRHandNet demo source code written in python3

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SRHandNet-demo

This source code is the conversion of a demo source code implemented in C++ into a pytorch.

You can download hand.pts in this link

Any contributions or pull requests would be welcome!

Features

Unfortunately, the original code is not suitable for actual use. So I added more improvements compared to the original code.

  • This code uses a cyclic detection method mentioned in the paper. Therefore, even small hand key points can be detected with high accuracy.
  • The original code inefficiently uses the O(N^4) method to find the local maximum value. I use skimage library to optimize this task. and this approach shows more than 40x performance in speed! (+25fps in GTX970)

Requirements

  • skimage
  • pytorch (w/ CUDA)
  • hand.pts
  • opencv2
  • python 3.7+

References

  • SRHandNet website
  • paper link
  • original code
  • Yangang Wang, Baowen Zhang and Cong Peng. "SRHandNet: Real-time 2D Hand Pose Estimation with Simultaneous Region Localization". IEEE Transactions on Image Processing, 29(1):2977 - 2986, 2020.

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