Name		Name	Last commit message	Last commit date
parent directory ..
FAS_report.pdf		FAS_report.pdf
model.h5		model.h5
prediction.ipynb		prediction.ipynb
prediction.py		prediction.py
prediction.txt		prediction.txt
readme.md		readme.md
requirements.txt		requirements.txt
test.ipynb		test.ipynb
test.py		test.py
train.ipynb		train.ipynb
train.py		train.py

readme.md

Face Liveness Detection

The uses of some key files:

train.py / train.ipynb：We can use this file to pre-process data, setup the network, network configuration, save (.h5) and train tthe network;
test.py / test.ipynb：This file will use the saved model.h5 to evaluate the performance (model.h5) on test dataset;
prediction.py / prediction.ipynb：This file will use the saved model to predict the category of the input images, which don't have known labels.

Tips:

The file suffix .py means that this is a pure python code, you can open it in PyCharm or other IDE tools;
The file suffix .ipynb means that this is a Jupyter Notebook python code, you should open these files through Jupyter Notebook on the website.
All codes have file-path and GPU configurations language, which need to be adjusted according to the situation.

Requirements:

Tensorflow-GPU: 2.2.0
Numpy: 1.16.2
Matplotlib：3.1.3