yassouali/pytorch-segmentation
A PyTorch library providing implementations of semantic segmentation models, datasets, losses, and training utilities.
Not currently ranked — collecting fresh signals.
star history
This repository offers a collection of semantic segmentation models including Deeplab V3+ and GCN, implemented in PyTorch. It provides ready-to-use dataset loaders, various loss functions, learning rate schedulers, and data augmentation techniques. The project supports training and inference workflows through JSON config files and includes Colab notebook tutorials.
Frequently asked
- What is yassouali/pytorch-segmentation?
- A PyTorch library providing implementations of semantic segmentation models, datasets, losses, and training utilities.
- Is pytorch-segmentation open source?
- Yes — yassouali/pytorch-segmentation is open source, released under the MIT license.
- What language is pytorch-segmentation written in?
- yassouali/pytorch-segmentation is primarily written in Jupyter Notebook.
- How popular is pytorch-segmentation?
- yassouali/pytorch-segmentation has 1.8k stars on GitHub.
- Where can I find pytorch-segmentation?
- yassouali/pytorch-segmentation is on GitHub at https://github.com/yassouali/pytorch-segmentation.