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Facial Keypoints Detection & Recognition

Python 51.13% Shell 2.14% Makefile 2.18% JavaScript 3.09% Lua 38.07% CSS 0.54% HTML 2.86%
face-recognition openface facenet

cnn-face-recognition's Introduction

Facial Key-points Detection & Recognition

Detection and recognition of Human Faces in context of group-video conferencing, recording meetings, class-activities. Used for the purpose of automating the attendance process.

Overview

This repository contains:

  • Face dectection via Viola-Jones and HOG.
  • Face representation learning using pre-trained Openface models.
  • Face recognition and clustering using DBSCAN.
  • t-SNE visualization of face representation vectors.

Usage

Refer to code for individual usage.

References

cnn-face-recognition's People

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