Pose Estimation Projects
Pose Estimation is a domain in computer vision where we detect and track the location and orientation of an object. Human Pose Estimation is the task to estimate the pose of a person from an image or a video by estimating the spatial locations of key body joints (keypoints - elbows, wrists, etc.). It can be used in applications such as action recognition, animation, gaming and in sport analytics as well.
In the list below, we highlight 10+ interesting repositories, which share their pose estimation projects.
|AlexEMG/DeepLabCut||Markerless pose estimation of user-defined features with deep learning for all animals, including humans|
|CMU-Perceptual-Computing-Lab/openpose||OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation|
|facebookresearch/VideoPose3D||Efficient 3D human pose estimation in video using 2D keypoint trajectories|
|ildoonet/tf-pose-estimation||Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.|
|j96w/DenseFusion||“DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion” code repository|
|MVIG-SJTU/AlphaPose||Real-Time and Accurate Multi-Person Pose Estimation&Tracking System|
|vita-epfl/openpifpaf||Official implementation of “PifPaf: Composite Fields for Human Pose Estimation” in PyTorch.|
|xinghaochen/awesome-hand-pose-estimation||Awesome work on hand pose estimation/tracking|
|xingyizhou/CenterNet||Object detection, 3D detection, and pose estimation using center point detection:|
|ZheC/Realtime_Multi-Person_Pose_Estimation||Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)|
|zju3dv/mvpose||Code for “Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views” in CVPR'19|