mirror of https://github.com/open-mmlab/mmpose
20 lines
935 B
Markdown
20 lines
935 B
Markdown
# 2D Human Whole-Body Pose Estimation
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2D human whole-body pose estimation aims to localize dense landmarks on the entire human body including face, hands, body, and feet.
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Existing approaches can be categorized into top-down and bottom-up approaches.
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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.
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Bottom-up approaches (e.g. AE) first detect all the whole-body keypoints and then group/associate them into person instances.
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## Data preparation
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Please follow [DATA Preparation](/docs/en/dataset_zoo/2d_wholebody_keypoint.md) to prepare data.
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## Demo
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Please follow [Demo](/demo/docs/en/2d_wholebody_pose_demo.md) to run demos.
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<img src="https://user-images.githubusercontent.com/9464825/95552839-00a61080-0a40-11eb-818c-b8dad7307217.gif" width="600px" alt><br>
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