Popular GitHub Repositories for 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.

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

[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.

State-of-the-art face detection and face recognition for .NET.

[CVPRW'17, FG'17] Robust FEC-CNN: A High Accuracy Facial Landmark Detection System

Detect facial landmarks with TensorFlow and CoreML on iPhone.

[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

[IEEE SPL '24] ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition

Repositório dos exemplos e desafios utilizados na disciplina de Vis?o Computacional do curso de MBA Machine Learning da FIAP