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
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 !!!)
online 3d openpose editor for stable diffusion and controlnet
Training repository for OpenPose
🏀🤖🏀 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
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet
3d openpose editor for stable diffusion and controlnet
Implement of Openpose use Tensorflow
Python bindings for the Openpose library
A tensorflow implementation of Arxiv Paper "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose "(https://arxiv.org/abs/1811.12004)
ROS wrapper for OpenPose
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
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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