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Pytorch implementation of Depth Wise Convolution to perform the task of Face Spoofing Detection.

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Muntasir13/Face-Spoofing-Detection-using-Depth-Wise-Convolution

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Pytorch implementation of Depth Wise Convolution to perform the task of Face Spoofing Detection. The code implementation was done following the paper [A Face Spoofing Detection Method Based on Domain Adaptation and Lossless Size Adaptation] (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9056475). The Domain Adaptation Layer (partial) and Lossless Size Adaptation methodologies were avoided in this implementation.

Getting Started

Installing

Training

  • Download any dataset according to your choice.
  • Go to config.py and make necessary changes according to the helping texts given.
  • Run the following command:
python run.py

Inference

  • Go to the liveness_testing folder
  • Copy and paste the desired trained model in this directory
  • Go to liveness_demo.py and change the model path
  • Run the following command:
python liveness_demo.py

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Pytorch implementation of Depth Wise Convolution to perform the task of Face Spoofing Detection.

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