Shypd.aiThe largest open index of AI toolsMMPose is an OpenMMLab toolbox for pose estimation based on PyTorch, offering state-of-the-art deep learning models for various pose analysis tasks. It supports 2D and 3D human, hand, and animal pose estimation, along with face landmark detection.
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MMPose is an open-source toolbox for pose estimation built on PyTorch, developed as part of the OpenMMLab project. It provides a comprehensive suite of tools and benchmarks for a wide range of pose analysis tasks, including 2D multi-person human pose estimation, 2D hand pose estimation, 2D face landmark detection, 133 keypoint whole-body human pose estimation, 3D human mesh recovery, fashion landmark detection, and animal pose estimation. The toolbox implements multiple state-of-the-art deep learning models, achieving high efficiency and accuracy. It supports various popular datasets like COCO, AIC, and MPII, and offers a modular design for easy customization and integration. Recent updates include real-time models for 3D whole-body and multi-person pose estimation, and support for new datasets and algorithms like PoseAnything.
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