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.
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Updated
Oct 18, 2021 - C++
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 face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm
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
Four landmark detection algorithms, implemented in PyTorch.
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
Implementation of PFLD For 68 Facial Landmarks By Pytorch
使用OpenCV实现人脸关键点检测
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
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
drowsiness 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.
Python library for analysing faces using PyTorch
A TensorFlow implementation of HRNet for facial landmark detection.
The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
Facial-Landmarks Detection based animating application similar to Apple-Animoji™
[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition
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