Sample Application
Linux-Face Recognition SDK(updated version) Flask, Gradio Demo
Docker
Pull the Docker image and run the container:
Installation
- Download
Download FaceRecognition-Demo.zip[191M]
The Demo directory contains the following directories and files:
dependency\ | Dependency files |
engine\ | SDK engine files |
examples\ | Sample images for face recognition |
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/compare_face
Perform face match between two face image files
Parameters
image1: image file for the 1st face
image2: image file for the 2nd face
Response
result: face match result
similarity: similarity between two faces
detection: face bounding boxes of two faces
POST /api/compare_face_base64
Perform face match between two face base64 images
Parameters
image1: base64 image for the 1st face
image2: base64 image for the 2nd face
Response
result: face match result
similarity: similarity between two faces
detection: face bounding boxes of two faces
- Test Gradio
Go to http://127.0.0.1:7860/ on a web browser.
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