Shypd.aiThe largest open index of AI toolsKAPAO is an open-source human pose estimation model that efficiently detects keypoints and poses as objects. It fuses these detections to predict human poses, offering faster and more accurate results than previous single-stage methods.
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KAPAO (Keypoints and Poses as Objects) is an efficient single-stage multi-person human pose estimation method. It models keypoints and poses as objects within a dense anchor-based detection framework, simultaneously detecting both pose and keypoint objects and fusing them to predict human poses. This approach results in a model that is faster and more accurate than previous single-stage methods like DEKR and HigherHRNet, especially when not using test-time augmentation. The repository provides the official PyTorch implementation, including setup instructions, trained models, and various inference demos for static images, videos, and even depth video. It also details experiments on COCO and CrowdPose datasets, along with training commands for different model sizes (KAPAO-S, KAPAO-M, KAPAO-L).
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