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Face Liveness Detection SDK For Linux

Fully Offline, On-Premise Face Liveness Detection SDK for Linux

Documentation at https://docs.faceonlive.com

🎉 Try It Yourself on our Portfolio Website

Integrated into Huggingface Spaces 🤗 using Gradio. Try out the Web Demo:

fast.mp4

👏 Supporters

🏃 How to run

1. Download and install dependencies

To begin, follow these steps to download and install the necessary dependencies:

git clone https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux
cd Face-Liveness-Detection-SDK-Linux
chmod +x ./install_dependency.sh
sudo ./install_dependency.sh

2. Execute the Python Flask application

Next, run the Python Flask application by executing the following command:

python3 app.py

3. Activate the SDK

- Online License

If you have an online license, please update the license key provided by us in the following file:

Face-Liveness-Detection-SDK-Linux/app.py

Line 23 in 6e702fa

licenseKey = "XXXXX-XXXXX-XXXXX-XXXXX"

- Offline License

If you have an offline license, please share your machine's HWID (Hardware ID) with us to receive the license.txt file. Update the HWID in the following file:

Face-Liveness-Detection-SDK-Linux/app.py

Line 24 in 6e702fa

licensePath = "license.txt"

online init failed: 6
hwid:  IXwjedMe8M5cZX/GwU3NEOqJRcqLwldq27HSLyFiejbGDB9XVgytA1RgJukV3mWWTNo84NwTMYU=

4. Using Docker

• Build the Docker image:

sudo docker build --pull --rm -f Dockerfile -t faceonlive_v7:latest .

• Run Docker with online license:

sudo docker docker run --network host faceonlive_v7

• Run Docker with offline license:

sudo docker run -v license.txt:/root/FaceOnLive_v7/license.txt --network host faceonlive_v7

5. Test endpoint

To test the endpoint, download the Postman Collection from the following link: FaceOnLive.postman_collection.json