Sample Application
Linux-Face Liveness Detection SDK(updated version) Flask, Gradio Demo
Docker
Pull the Docker image and run the container:
Installation
- Download
Download FaceLivenessDetection-Demo.zip[377M]
The Demo directory contains the following directories and files:
dependency\ | Dependency files |
engine\ | SDK engine files |
examples\ | Sample images for face liveness detection |
flask\ | Flask server side demo code |
gradio\ | Gradio demo code |
Dockerfile | Dockerfile for building a Docker image |
install.sh | Script for install environment |
license.txt | License key file |
run_demo.sh | Script for run demo |
- Install dependencies
Run the install.sh script to install dependencies:
- Setting Up SDK License Key
Online Licensing: Set the online license key as an environment variable:
Offline Licensing: Copy the
license.txtlicense file to the demo directory.
Test
- Run Demo
Run the demo script with the desired option:
- Test Flask Server APIs
To test the Flask Server API, you can use Postman. Here are the endpoints for testing:
POST /api/check_liveness
Perform face liveness detection and attribute analysis on an image file
Parameters
image: image file
Response
result: face liveness, attribute check result
liveness_score: liveness score of detected face
face_rect: face bounding box of detected face
angles: Pitch, Yaw, Roll of detected face
POST /api/check_liveness_base64
Perform face liveness detection and attribute analysis on a base64 image
Parameters
image: base64 image
Response
result: face liveness, attribute check result
liveness_score: liveness score of detected face
face_rect: face bounding box of detected face
angles: Pitch, Yaw, Roll of detected face
- Test Gradio
Go to http://127.0.0.1:7860/ on a web browser.
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