mirror of https://github.com/open-mmlab/mmpose
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| associative_embedding | ||
| cid/coco | ||
| dekr | ||
| edpose/coco | ||
| integral_regression | ||
| rtmo | ||
| rtmpose | ||
| simcc | ||
| topdown_heatmap | ||
| topdown_regression | ||
| yoloxpose | ||
| README.md | ||
README.md
Human Body 2D Pose Estimation
Multi-person human pose estimation is defined as the task of detecting the poses (or keypoints) of all people from an input image.
Existing approaches can be categorized into top-down and bottom-up approaches.
Top-down methods (e.g. DeepPose) 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.
Bottom-up approaches (e.g. Associative Embedding) first detect all the 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.
