OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
Apr 15, 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
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 web app and API to analyze basketball shots and shooting pose.
online 3d openpose editor for stable diffusion and controlnet
Everybody dance now reproduced in pytorch
OpenPose's Unity Plugin for Unity users
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet
3d openpose editor for stable diffusion and controlnet
Python bindings for the Openpose library
Implement of Openpose use Tensorflow
A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
ROS wrapper for OpenPose
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 !
Code for estimating social distances from RGB cameras.
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