openpose

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.

Library for Fast and Flexible Human Pose Estimation

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

🏀🤖🏀 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

Training repository for OpenPose

AI 尬舞机

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

Python bindings for the Openpose library

Implement of Openpose use Tensorflow

tf-openpose Based iOS Project

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

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

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

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