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ViTPose/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap
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README.md

Top-down heatmap-based pose estimation

Top-down methods divide the task into two stages: human detection and pose estimation.

They perform human detection first, followed by single-person 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.