Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
Library for Fast and Flexible Human Pose Estimation
Real-time multi-person action recognition from OpenPose skeleton sequences, with tracking, feature extraction, model training, and inference pipelines for research and prototyping.
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
RTMPose series (RTMPose, DWPose, RTMO, RTMW) without mmcv, mmpose, mmdet etc.
Training repository for OpenPose
Everybody dance now reproduced in pytorch
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet
Compute 2D human pose and angles from a video or a webcam.
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
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)
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.
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 !
Detects the sitting position of a person
🏀 Judging basketball shots and analyzing shooting pose with machine learning
Code for estimating social distances from RGB cameras.
Human Image Gender Classifier for Expressive Body Capture
Posture recognition based on common camera
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