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
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Updated
May 24, 2020 - Python
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
Facial keypoint detection system takes in any image with faces, and predicts the location of 68 distinguishing keypoints on the face - Udacity project
Facial landmarks detection with OpenCV, Dlib, DNN
Computer vision: Detect facial keypoints using PyTorch and OpenCV
Real-time selfie filters using facial keypoints regression and opencv
State-of-the-art face detection and face recognition for .NET.
Facial keypoints detection using 15 landmark points on human face
Facial Landmark Detection using OpenCV and Mediapipe
Code written for OpenCV during GSoC 2019 related to Facial Landmark Detection
A CNN that make facial keypoint detection and real time filtering
First project for CVND: facial keypoint detection.
This repository contains my implementation of a shape-constrained network which predicts up to 170 FPS
a computer vision project to recognize facial keypoints
Facial Keypoint Detection using PyTorch
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A solution for Kaggle's Facial Keypoint Detection challenge
Facial keypoint detection thata predicts the location of distinguishing keypoints on the face (Udacity CVND project 1).
This is an implementation of Face Detection & Facial Keypoint Detection using OpenCV and Keras.
Project 1: Udacity Computer Vision Nanodegree
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