Skip to content

Latest commit

 

History

History
46 lines (35 loc) · 3.2 KB

README.md

File metadata and controls

46 lines (35 loc) · 3.2 KB
Raw

Face component segmentation based on Bisnet v2

Code Description

This code is based on face-parsing.PyTorch project.

bisnetv2.py

This is the Bisenet network used for face parsing aextraction, you shouldn't change anything of it. It is provided by face-parsing.PyTorch project.

test.py

This is the main test execution code. You need to execute this code to get the parsing structure acquisition and joint output of face by calling bisnetv2.py.

Results are:

background skin brow eye nose mouth
Paring Output
Joint Output

Support package required

  • python3
  • numpy
  • matplotlib
  • scipy
  • seaborn
  • PIL
  • python-opencv
  • pytorch

Installation method

These packages may not be included in Anaconda and require additional installation

python-opencv

sudo apt-get install python-opencv