ezface

This is a T3 Stack project bootstrapped with create-t3-app.

This app functions as a proof of concept for trying out various facial recognition models in combination with several facial detection models, distance metrics and databases.

Models:

• VGG-Face
• Facenet
• Facenet512
• DeepFace
• DeepID
• ArcFace
• Dlib
• OpenFace
• SFace

Detectors:

• OpenCV
• MTCNN
• RetinaFace
• Mediapipe
• Dlib
• SSD

Distance metrics:

• Cosine
• Euclidean

Databases:

• PostgreSQL
• Qdrant
• Redis

Deployment

Prerequisites

• Node.js
• Docker
• uploadthing account

Local

Copy .env.example to .env and configure the variables

npm install
docker compose up -d
npx prisma db push
npm run dev

Acknowledgements

• t3
• deepface
• uploadthing