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)

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

Four landmark detection algorithms, implemented in PyTorch.

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

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

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

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

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

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

drowsiness detection

A TensorFlow implementation of HRNet for facial landmark detection.

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.

Robust FEC-CNN for Face Datasets

Detect facial landmarks with TensorFlow and CoreML on iPhone.

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

Code to generate a face morphing effect between two faces.

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

My experiments in lip reading using deep learning with the LRW dataset

Facial landmarks training by mxnet(gluon). Use for face alignment and so on.

The facial detection API allows us to not only detect faces & facial features but also check those faces for particular properties such as if a smile is present or eyes are open etc. This is a simple app that recognizes a face in a photo and highlights it with a box. Also, it captures facial features like eyes, nose, lips, ears etc. All written i Swift4.

Code example demonstrating how to detect eyes, nose, lips, and jaw with dlib, OpenCV, and Python

Code for Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier 😃

Facial keypoint detection system takes in any image with faces, and predicts the location of 68 distinguishing keypoints on the face - Udacity project

PyTorch Implementation of the Deep Alignment Network