There are 5 repositories under keypoint-detection topic.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Four landmark detection algorithms, implemented in PyTorch.
Image Test Time Augmentation with PyTorch!
Multi-person Human Pose Estimation with HRNet in Pytorch
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.
Multi-person Human Pose Estimation with HigherHRNet in Pytorch
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Fast and accurate Human Pose Estimation using ShelfNet with PyTorch
Count pushups from video/webcam. Tech stack: Keypoint detection, BlazePose, action recognition.
Computer vision library for wildfire detection
UKPGAN: A General Self-Supervised Keypoint Detector (CVPR2022)
This is a Python and Tensorflow implementation of Posenet v2 released by Google in TensorflowJS.
Analyzes weightlifting videos for correct posture using pose estimation with OpenCV
Official repository of 'Co-Attention for Conditioned Image Matching'
How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)
Python scripts for performing 2D feature detection and tracking using the KP2D model in Pytorch
目标检测，关键点检测。A pure version of CenterNet, convenient for secondary development and easy to understand.
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
The OccludedPASCAL3D+ is a dataset generated via superimposing occluder to PASCAL3D+ dataset for multiple computer vision tasks.
Project of Skoltech course "Introduction to Computer Vision"
PriorDepth : Unsupervised Depth Estimation from Sparse Spatial-Temporal Priors
A project for tracking semantic keypoints on objects.
High accurate tool for automatic faces detection with landmarks
Keypoints Tracking via Transformer Networks
Realtime detection of incorrect sitting posture
I propose a method which regards key points as a Graph, modeled by Attention-Based Graph Neural Network.
EventPointNet: Robust keypoint detector with neuromorphic camera data
AI State Analysis of Pets - 반려동물 행동 분석 서비스
The project is an official implement of our ACM Multimedia 2019 paper "Fast Non-Local Neural Networks with Spectral Residual Learning"
Building a Facial Expression and Key points Recognition System, model based on resnet
An Implement based on Microsoft Keypoints detection
Trained a Convolutional Neural Network (According to paper: https://arxiv.org/pdf/1902.02394.pdf#figure.4) to detect 7 key points on a cone which is ultimately used for depth estimation using a monocamera setup on a self driving car.