https://github.com/wmcnally/kapao

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
https://github.com/wmcnally/kapao

deep-learning human-pose-estimation pose-estimation pytorch yolo

Last synced: 3 months ago
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KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

• Host: GitHub
• URL: https://github.com/wmcnally/kapao
• Owner: wmcnally
• License: gpl-3.0
• Created: 2021-09-06T18:27:34.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2022-11-02T10:33:26.000Z (over 1 year ago)
• Last Synced: 2024-01-21T02:43:13.840Z (5 months ago)
• Topics: deep-learning, human-pose-estimation, pose-estimation, pytorch, yolo
• Language: Python
• Homepage:
• Size: 146 MB
• Stars: 736
• Watchers: 27
• Forks: 102
• Open Issues: 30
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-human-pose-estimation - [code - Arxiv 21.11, KAPAO (Multi-Person 2D Pose Estimation / 2021)
• awesome-3d-human-reconstruction - code
• awesome-yolo-object-detection - wmcnally/kapao - of-the-art single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses. "Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation". (**[arXiv 2021](https://arxiv.org/abs/2111.08557)**) (Applications)
• awesome-stars - wmcnally/kapao - `★743` KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses. (Python)