mirror of https://github.com/open-mmlab/mmpose
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README.md |
README.md
2D Human Whole-Body Pose Estimation
2D human whole-body pose estimation aims to localize dense landmarks on the entire human body including face, hands, body, and feet.
Existing approaches can be categorized into top-down and bottom-up approaches.
Top-down methods divide the task into two stages: human detection and whole-body pose estimation. They perform human detection first, followed by single-person whole-body pose estimation given human bounding boxes.
Bottom-up approaches (e.g. AE) first detect all the whole-body keypoints and then group/associate them into person instances.
Data preparation
Please follow DATA Preparation to prepare data.
Demo
Please follow Demo to run demos.