Face Anti Spoofing

Towards the solving anti-spoofing problem on RGB only data. Inference model to mobile app for real time testing.

Introduction

Todo...

Setup

• Python 3.6.15
• Torch 1.9
• scikit-image 0.17.2
• opencv-python 4.1.2.30
• Albumentations 1.0.0
• Pillow 8.4.0

Installation

1. Create a virtual environment:

cd light-weight-face-anti-spoofing/
bash init_venv.sh

2. Activate the virtual environment:

. venv/bin/activate

Run inference

Run on video (multi_models)

python api_end2end.py

Todo: add logic with multi frames ...

Tuning two model

1. Model MobileNet (Original_code :github):

• Edit path folder images and path at file train_turning.py. Path '.csv' have format 0: spoof, 1: live

cd light-weight-face-anti-spoofing/
create path: python creat_path.py
training: python train_tuning.py  --config=./configs/config.py

2. Model FASNet (Original_code: github):

• Install env from Original_code: github

cd Silent-Face-Anti-Spoofing/
edit at file config ./src/default_config.py
python train_tuning.py

Convert model to format Onnx

Todo...

APK source code

Open source for Android platform deployment code:...