Daniil-Osokin / lightweight-human-pose-estimation-3d-demo.pytorch

Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

Date Created 2019-10-12 (5 years ago)

Commits 13 (last one 3 years ago)

Stargazers 671 (0 this week)

Watchers 17 (0 this week)

Forks 139

License apache-2.0

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RepositoryStats indexes 634,026 repositories, of these Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch is ranked #75,934 (88th percentile) for total stargazers, and #127,134 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #12,432/129,650.

Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#1,766/8821), pytorch (#1,168/6224), computer-vision (#546/3303), real-time (#142/616), human-pose-estimation (#24/149)

Other Information

Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch has 1 open pull request on Github, 5 pull requests have been merged over the lifetime of the repository.

All Topics

pytorch openvino real-time lightweight cmu-panoptic 3d-human-pose deep-learning computer-vision keypoint-estimation human-pose-estimation multi-person-pose-estimation

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updated: 2025-03-08 @ 08:04am, id: 214621222 / R_kgDODMrcJg