Single Sign-On (SSO) Service with Face Recognition

Welcome to the Single Sign-On (SSO) service project utilizing face recognition! This project aims to provide user authentication through facial recognition using mobile_net as base model and another model trained using siamese network. The project is organized into several components, each serving a specific purpose.

Components

• SSO-Web
• SSO-Server
• Pipeline
• Experiments

Dependencies

To run the entire project, follow these steps:

1. Run docker-compose up to start the whole project.
2. Perform Alembic migration and Milvus migration to set up the database.
3. In the sso-server directory, run alembic upgrade head to migrate the PostgreSQL server.
4. Run setup from the repository.milvus to setup the Milvus database.