There are 8 repositories under human-pose topic.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
OpenMMLab Pose Estimation Toolbox and Benchmark.
Real-time pose estimation accelerated with NVIDIA TensorRT
Mask R-CNN for Human Pose Estimation on Keras and TensorFlow.
Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)
Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation
An unofficial implementation of ViTPose [Y. Xu et al., 2022]
Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.
Forecasting Characteristic 3D Poses of Human Actions (CVPR'22) 🏃♂️
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
Implement Human Pose Transfer papers with Pytorch
Visualize 3d humans' skeletons(body+hands) in ros rviz. The 2d joints are detected by openpose; The depth is from depth image.
Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
Reposing Humans by Warping 3D Features
The testing code for OriNet
Python wrapper library for Intel distribution of OpenVINO and Open Model Zoo (OMZ) models. User can use DL by simple function calls with this library.
A simple wrapper to localize human joints from images/video frames for multiple subjects.
Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
This Unity package provides an easy-to-use and customizable solution to work with and visualize 2D human poses on a Unity canvas.
Human pose estimation based on HRNet
A simple baseline for 3d human pose estimation in tensorflow v2.
Implementation for Human Pose Estimation using OpenCV
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Human Pose Tracking-Skeleton Generation