pix2pix demo that learns from facial landmarks and translates this into a face
Predict facial landmarks with Deep CNNs powered by Caffe.
Efficient facial landmark detector
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
翻译 - OpenFace –一种先进的工具，用于面部标志检测，头部姿势估计，面部动作单位识别和视线估计。
A visual editor for manually annotating facial landmarks in images of human faces.
Implementation of PFLD For 68 Facial Landmarks By Pytorch
Custom shape predictor model trained to find 81 facial feature landmarks given any image
#人脸识别#Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
翻译 - 去实现Pico人脸检测库。
SPIGA: Shape Preserving Facial Landmarks with Graph Attention Networks.
Realtime driver drowsiness detection (Sleep detection) using facial landmarks
Facial-Landmarks Detection based animating application similar to Apple-Animoji™
翻译 - 基于面部标记检测的动画应用程序类似于Apple-Animoji™
Automatic Human Head Shake Counter using Facial Landmarks and peak detection
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
翻译 - PyTorch实施“通过形状模型参数的深度回归进行超实时面部地标检测和形状拟合”，预测具有高达400 FPS的面部界标
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.
Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定
The combination of Pix2Pix-GAN and RGBD-Images abels to generate personal face-avatars witch can be controlled by facial landmarks.
Face landmarks(fiducial points) detection benchmark
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
EmguCV / OpenCV Face Tracking Sample
Generating Talking Face Landmarks from Speech