GengDavid/pytorch-cpn
PyTorch implementation of Cascaded Pyramid Network for multi-person human pose estimation on the COCO dataset.
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This repository provides a PyTorch re-implementation of the Cascaded Pyramid Network (CPN), a deep learning architecture that won the MSCOCO keypoints 2017 challenge. The model detects human body keypoints (such as joints) in images to enable multi-person pose estimation. It uses ResNet backbones (ResNet-50/101) with pyramid feature fusion and reports benchmark AP scores on the COCO minival dataset. Training code and evaluation scripts are provided, requiring MSCOCO 2017 dataset annotations.
Frequently asked
- What is GengDavid/pytorch-cpn?
- PyTorch implementation of Cascaded Pyramid Network for multi-person human pose estimation on the COCO dataset.
- Is pytorch-cpn open source?
- Yes — GengDavid/pytorch-cpn is open source, released under the GPL-3.0 license.
- What language is pytorch-cpn written in?
- GengDavid/pytorch-cpn is primarily written in Python.
- How popular is pytorch-cpn?
- GengDavid/pytorch-cpn has 500 stars on GitHub.
- Where can I find pytorch-cpn?
- GengDavid/pytorch-cpn is on GitHub at https://github.com/GengDavid/pytorch-cpn.