stefanopini/simple-HRNet
PyTorch implementation of HRNet for multi-person human keypoint detection and pose estimation.
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This repository provides a simplified unofficial implementation of the HRNet architecture for human pose estimation. It loads official pre-trained weights and supports multi-person pose estimation by integrating YOLOv3 or YOLOv5 for bounding box detection. The code includes training and testing pipelines for the COCO dataset, supports multi-GPU inference, and provides a Jupyter Notebook for Google Colab.
Frequently asked
- What is stefanopini/simple-HRNet?
- PyTorch implementation of HRNet for multi-person human keypoint detection and pose estimation.
- Is simple-HRNet open source?
- Yes — stefanopini/simple-HRNet is open source, released under the GPL-3.0 license.
- What language is simple-HRNet written in?
- stefanopini/simple-HRNet is primarily written in Python.
- How popular is simple-HRNet?
- stefanopini/simple-HRNet has 608 stars on GitHub.
- Where can I find simple-HRNet?
- stefanopini/simple-HRNet is on GitHub at https://github.com/stefanopini/simple-HRNet.