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ViTPose/configs/wholebody/2d_kpt_sview_rgb_img/topdown_heatmap
Yufei 929584632e
bug fix in MoEMlp input params 		3 years ago
..
coco-wholebody bug fix in MoEMlp input params 3 years ago
halpe register vitpose-b/l/h for coco 3 years ago
README.md register vitpose-b/l/h for coco 3 years ago

README.md

Top-down heatmap-based whole-body pose estimation

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. Instead of estimating keypoint coordinates directly, the pose estimator will produce heatmaps which represent the likelihood of being a keypoint.

Various neural network models have been proposed for better performance. The popular ones include stacked hourglass networks, and HRNet.