facial-landmarks

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

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.

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

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

Four landmark detection algorithms, implemented in PyTorch.

Python library for analysing faces using PyTorch

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS

Implementation of PFLD For 68 Facial Landmarks By Pytorch

使用OpenCV实现人脸关键点检测

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

A TensorFlow implementation of HRNet for facial landmark detection.

Facial-Landmarks Detection based animating application similar to Apple-Animoji™

drowsiness detection

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.