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

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

HyperPose: Real-time Human Pose 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.

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

Everybody dance now reproduced in pytorch

OpenPose's Unity Plugin for Unity users

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 !!!)

Training repository for OpenPose

AI 尬舞机

Python bindings for the Openpose library

tf-openpose Based iOS Project

Implement of Openpose use Tensorflow

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 !

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

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

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.

Openpose implementation using darknet

Code for estimating social distances from RGB cameras.

CMU's OpenPose for ROS

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

Real-time 3D multi-person detection made easy with OpenPose and the ZED

Human Image Gender Classifier for Expressive Body Capture

Detects the sitting position of a person

PyTorch implementation of the OpenPose

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

A docker build file for CMU openpose with Python API support

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

Posture recognition based on common camera