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face-anti-spoofing's Introduction

Face-Anti-Spoofing

A simple face anti-spoofing based on CNN trained with HSV + YCrCb color feature.

Network Architecture

Dependencies:

	dlib >= 19.17.0
	tensorflow >= 1.12.0
	keras >= 2.2.4
	numpy >= 1.11.1
	scipy >= 0.14
	opencv-python >= 3.4.3

Usage:

  • Data prepare:
    1) Download train data and model file from:
    https://pan.baidu.com/s/1izOKKs8-CRy6Ykfa13r0Ew code: u99k
    2) untar data and model to your project dir
  • Train model:
    python data/NUAA/gen_label.py python main.py --train=True
  • Test online via camera:
    python main.py --online=True

Detailed design doc, please reference to:

image

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face-anti-spoofing's Issues

Endlish version

hello tanks for share code

your model uploaded in Baidu...and all text is china

please share model and data in other host

Model extension

What do you think, if I extend the model by passing rPPG signals as a third input, will it improve accuracy ?

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