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.
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Please follow Demo to run demos.