Daniil-Osokin / lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Date Created 2019-03-02 (5 years ago)

Commits 37 (last one 8 months ago)

Stargazers 2,124 (2 this week)

Watchers 34 (0 this week)

Forks 479

License apache-2.0

Ranking

RepositoryStats indexes 598,732 repositories, of these Daniil-Osokin/lightweight-human-pose-estimation.pytorch is ranked #24,366 (96th percentile) for total stargazers, and #64,168 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,758/120,199.

Daniil-Osokin/lightweight-human-pose-estimation.pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#718/8543), pytorch (#441/6032), real-time (#59/584), pose-estimation (#19/332), human-pose-estimation (#10/145)

Other Information

Daniil-Osokin/lightweight-human-pose-estimation.pytorch has 1 open pull request on Github, 15 pull requests have been merged over the lifetime of the repository.

All Topics

pytorch openpose openvino real-time lightweight deep-learning mscoco-keypoint pose-estimation lightweight-openpose human-pose-estimation coco-keypoints-detection

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2 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-12-27 @ 08:50am, id: 173498120 / R_kgDOCldfCA