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Human Body Part Segmentation and Matching Between Poses

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HumanBodyPartSegNet

What this repository contains:

  1. Report outlining our method and results
  2. Google colab notebook containing the neural network for body part segmentation and code for matching poses between images
  3. Modified matlab code from https://www.cs.stanford.edu/~roozbeh/pascal-parts/pascal-parts.html for getting all examples with peopple in them and creating segmentation masks with 7 classes for the desired limbs and background. The matlab code also creates an 80-20 split between training and test data.

What you need to run our project:

  1. Our weights can be downloaded from https://drive.google.com/open?id=1mqep4SfOxaEd9fujQ6fNxbQwqvZ9cuO9
  2. Our taining and test data can be downloaded from https://drive.google.com/open?id=1-wh4P5CXLz_YjTHWyTvfGVOYW1D_VBfi

Credit:

The code and methods were developed in colloboration with trazd66 (Tarry) and the report was written by myself (Shimi).

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Human Body Part Segmentation and Matching Between Poses

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  • Jupyter Notebook 69.7%
  • MATLAB 30.3%