kbyai/face-recognition repository overview

⁠

⁠Product & Resources

For more information, visit KBY AI's GitHub Repository⁠.

⁠FaceRecognition-Docker

⁠Overview

This Docker image implements face recognition technology via a Flask API and Gradio.
It includes features that allow for testing face recognition between two images using both image files and base64-encoded images.

⁠Docker Run

• Pull docker image.

sudo docker pull kbyai/face-recognition:latest

• Run docker container with license key file.

sudo docker run -v ./license.txt:/root/kby-ai-face/license.txt -p 8081:8080 -p 9001:9000 kbyai/face-recognition:latest

• Run docker container with license key string.

sudo docker run -e LICENSE="xxxxx" -p 8081:8080 -p 9001:9000 kbyai/face-recognition:latest

⁠SDK License

This Docker image utilizes KBY-AI's Face Recognition Server SDK, which requires a license for each machine or instance on which it runs.

• To get the machine code for license, use the following command:

sudo docker run -e LICENSE="xxxxx" kbyai/face-recognition:latest

• To request the license, please provide us with the machine code obtained from your console.

Contact us:
🧙Email: [email protected]⁠
🧙Telegram: @kbyaisupport⁠
🧙WhatsApp: +13348402323⁠
🧙Discord: KBY-AI⁠
🧙Teams: KBY-AI⁠

⁠Try the API

⁠Gradio Demo

To test the Gradio demo from the Docker image, access it at http://127.0.0.1:9001⁠ or http://localhost:9001⁠.

⁠Postman

To test the API, use Postman. Here are the endpoints for testing:

• Test with an image file: Send a POST request to http://127.0.0.1:8081/compare_face⁠.

• Test with a base64-encoded image: Send a POST request to http://127.0.0.1:8081/compare_face_base64⁠.

  Download the Postman collection to access and use these endpoints easily. Click here⁠