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Using modified BiSeNet for face parsing in PyTorch. This model is serve for DepthNet.

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dw-dengwei/face-seg

 
 

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folk from https://github.com/zllrunning/face-parsing.PyTorch

Description

This repo is used to generate semantic segmentation for face image. The facial parts are listed bellow:

  1. skin
  2. left brow
  3. right brow
  4. left eye
  5. right eye
  6. nose
  7. mouth
  8. upper lip
  9. lower lip

Output

The generating script is segment.py. It will output the segmentaion images to the specific folder(test_res by default).

The output root folder contains an unmerge folder and merged images, whose file names are begin with Mask_.

Under the umerge folder, there are folders named with the input file names. Inside them are unmerged parts.

Reference

  1. Code: BiSeNet
  2. Paper: BiSeNetV1
  3. Paper: BiSeNetV2

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Using modified BiSeNet for face parsing in PyTorch. This model is serve for DepthNet.

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  • Python 55.2%
  • Cuda 27.9%
  • C++ 15.4%
  • C 1.5%