OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

pytorch implementation of openpose including Hand and Body Pose Estimation.

🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。

Library for Fast and Flexible Human Pose Estimation

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

OpenPose's Unity Plugin for Unity users

Everybody dance now reproduced in pytorch

3d openpose editor for stable diffusion and controlnet

Training repository for OpenPose

online 3d openpose editor for stable diffusion and controlnet

AI 尬舞机

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

Python bindings for the Openpose library

Implement of Openpose use Tensorflow

Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,

tf-openpose Based iOS Project

CT-Net, OpenPose, LIP_JPPNet, DensePose running with ncnn⚡服装迁移/虚拟试穿⚡ClothingTransfer/Virtual-Try-On⚡

A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)