A simple framework designed for face recognition purposes. This framework is built on top of FastAPI, MongoDB and OpenVINO Model Server so it's ready to use right away. This page will give you a short quickstart demonstration of the DRFace framework. For Documentation please refer to the Reference.
Repository under heavy development.
We assume that you have already installed Docker and Docker Compose.
Build the docker images:
docker build -t ruhyadi/drface:version .
Create a .env
file:
cp .env.example .env
Download the weights from release page and put it in weights
directory.
Run docker container with docker-compose:
docker-compose up -d
The API documentation is available at http://localhost:4540.