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 664 (1 this week)

Watchers 18 (0 this week)

Forks 139

License apache-2.0

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RepositoryStats indexes 584,353 repositories, of these Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch is ranked #72,979 (88th percentile) for total stargazers, and #122,593 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #11,596/116,326.

Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#1,717/8389), pytorch (#1,130/5948), computer-vision (#525/3081), real-time (#134/563), human-pose-estimation (#23/144)

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: 2024-11-20 @ 12:27pm, id: 214621222 / R_kgDODMrcJg