Popular GitHub Repositories for Facial Keypoints

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Image augmentation for machine learning experiments.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

?? Windows Hello? style facial authentication for Linux

Leading free and open-source face recognition system

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Awesome work on hand pose estimation/tracking

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

pix2pix demo that learns from facial landmarks and translates this into a face

Unified UI and API for processing and training images for facial recognition.