mks0601/3DMPPE_ROOTNET_RELEASE
Deep learning system for estimating 3D human poses of multiple people from single RGB images.
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This repository provides the official PyTorch implementation of RootNet, a camera distance-aware approach for 3D multi-person pose estimation published at ICCV 2019. It uses deep neural networks to extract 2D keypoints and estimate absolute depth for root joint localization, enabling 3D pose reconstruction from monocular images. The implementation supports standard pose estimation datasets including Human3.6M, MPII, and MS COCO.
Frequently asked
- What is mks0601/3DMPPE_ROOTNET_RELEASE?
- Deep learning system for estimating 3D human poses of multiple people from single RGB images.
- Is 3DMPPE_ROOTNET_RELEASE open source?
- Yes — mks0601/3DMPPE_ROOTNET_RELEASE is open source, released under the MIT license.
- What language is 3DMPPE_ROOTNET_RELEASE written in?
- mks0601/3DMPPE_ROOTNET_RELEASE is primarily written in Python.
- How popular is 3DMPPE_ROOTNET_RELEASE?
- mks0601/3DMPPE_ROOTNET_RELEASE has 491 stars on GitHub.
- Where can I find 3DMPPE_ROOTNET_RELEASE?
- mks0601/3DMPPE_ROOTNET_RELEASE is on GitHub at https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE.