OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
Aug 3, 2024 - C++
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 !!!)
3d openpose editor for stable diffusion and controlnet
online 3d openpose editor for stable diffusion and controlnet
OpenPose's Unity Plugin for Unity users
This repository contains a pure C++ ONNX implementation of multiple offline AI models, such as StableDiffusion (1.5 and XL), ControlNet, Midas, HED and OpenPose.
Everybody dance now reproduced in pytorch
Training repository for OpenPose
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
Python bindings for the Openpose library
Implement of Openpose use Tensorflow
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
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