MultiModelFaceAntiSpoof

🚀 MultiModelFaceAntispoof utilizes Multiple Open Source Spoofing models for Inference via Flask API. It integrates multiple face anti-spoofing models from GitHub. Contributions, corrections, and requests are welcomed on GitHub.

MultiModelFaceAntiSpoof is available on Docker Hub.

Architecture

Installation

Setup

sudo apt install  git-lfs -y
git  clone https://github.com/sanjay7178/MultiModelFaceAntiSpoof
cd MultiModelFaceAntiSpoof
git-lfs pull

Inference

docker-compose  up  --build -d

Try Out on Google Colab

🔬 Spoof Detection Models:

1. M1: HyperFAS
2. M2: Face Anti-Spoofing
3. M3: CelebA-Spoof
4. M4: Awesome Face Antispoofing
5. M5: Simple CNN model (trained from scratch)
6. M6: Silent-Face-Anti-Spoofing
7. M7: Face-Anti-Spoofing-using-DeePixBiS
8. M8: FaceAntiSpoofing

Requirements:

• Python 3.6 or higher
• Upgrade pip: pip3 install pip --upgrade
• Install required packages: pip3 install -r requirements.txt

Usage:

• Run the test script: python3 test.py

TODO:

1. Add more spoof detection models

Credits and Source

Original repository: FaceAntiSpoofing