November 22, 2020

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Pose Estimation Projects

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
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