Description

This repository contains face recognition service: ML scripts & API to use them.

Pipeline

1. Face detection

First step is detect human face on image and crop it. Face detection is implemented with open-source library MTCNN. More details in projects repository https://github.com/ipazc/mtcnn

2. Feature extractor

After face detection whe need to extract face embedding. In this projects we use pre-trained FaceNet by Hiroki Taniai described in this repository https://github.com/nyoki-mtl/keras-facenet

3. Classifier (IN PROGRESS)

Final step is use SVM classifier with gotten embeddings.

4. API

API is written with Tornado framework. End-points:

• /analyze_face - handle post request, that contains image with human face/faces as payload. Return back results of recognition by classifier with extracted embeddings.