https://github.com/shi-labs/oneformer-colab

[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.
https://github.com/shi-labs/oneformer-colab

ade20k cityscapes coco image-segmentation instance-segmentation oneformer panoptic-segmentation semantic-segmentation transformer universal-segmentation

Last synced: 4 months ago
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[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.

• Host: GitHub
• URL: https://github.com/shi-labs/oneformer-colab
• Owner: SHI-Labs
• License: mit
• Created: 2022-11-03T05:52:25.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2023-05-24T20:32:02.000Z (about 3 years ago)
• Last Synced: 2025-04-13T23:55:19.594Z (about 1 year ago)
• Topics: ade20k, cityscapes, coco, image-segmentation, instance-segmentation, oneformer, panoptic-segmentation, semantic-segmentation, transformer, universal-segmentation
• Language: Python
• Homepage: https://praeclarumjj3.github.io/oneformer
• Size: 6.55 MB
• Stars: 14
• Watchers: 2
• Forks: 10
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# OneFormer Colab Demo

[![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/) [![HuggingFace space](https://img.shields.io/badge/🤗-HuggingFace%20Space-cyan.svg)](https://huggingface.co/spaces/shi-labs/OneFormer) [![HuggingFace transformers](https://img.shields.io/badge/🤗-HuggingFace%20transformers-magenta.svg)](https://huggingface.co/docs/transformers/main/en/model_doc/oneformer) [![YouTube](https://badges.aleen42.com/src/youtube.svg)](https://youtu.be/_Zr1pOi7Chw) [![License](https://img.shields.io/badge/License-MIT-red.svg)](https://opensource.org/licenses/MIT)

 	

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/instance-segmentation-on-cityscapes-val)](https://paperswithcode.com/sota/instance-segmentation-on-cityscapes-val?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/instance-segmentation-on-coco-val-panoptic)](https://paperswithcode.com/sota/instance-segmentation-on-coco-val-panoptic?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/panoptic-segmentation-on-ade20k-val)](https://paperswithcode.com/sota/panoptic-segmentation-on-ade20k-val?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/instance-segmentation-on-ade20k-val)](https://paperswithcode.com/sota/instance-segmentation-on-ade20k-val?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/panoptic-segmentation-on-cityscapes-val)](https://paperswithcode.com/sota/panoptic-segmentation-on-cityscapes-val?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/panoptic-segmentation-on-cityscapes-test)](https://paperswithcode.com/sota/panoptic-segmentation-on-cityscapes-test?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/panoptic-segmentation-on-mapillary-val)](https://paperswithcode.com/sota/panoptic-segmentation-on-mapillary-val?p=oneformer-one-transformer-to-rule-universal) 	

[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/semantic-segmentation-on-mapillary-val)](https://paperswithcode.com/sota/semantic-segmentation-on-mapillary-val?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/semantic-segmentation-on-coco-1)](https://paperswithcode.com/sota/semantic-segmentation-on-coco-1?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/semantic-segmentation-on-ade20k-val)](https://paperswithcode.com/sota/semantic-segmentation-on-ade20k-val?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/panoptic-segmentation-on-coco-minival)](https://paperswithcode.com/sota/panoptic-segmentation-on-coco-minival?p=oneformer-one-transformer-to-rule-universal) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/oneformer-one-transformer-to-rule-universal/semantic-segmentation-on-cityscapes-val)](https://paperswithcode.com/sota/semantic-segmentation-on-cityscapes-val?p=oneformer-one-transformer-to-rule-universal)

[Jitesh Jain](https://praeclarumjj3.github.io/), [Jiachen Li](https://chrisjuniorli.github.io/)†, [MangTik Chiu](https://www.linkedin.com/in/mtchiu/)†, [Ali Hassani](https://alihassanijr.com/), [Nikita Orlov](https://www.linkedin.com/in/nukich74/), [Humphrey Shi](https://www.humphreyshi.com/home)

† Equal Contribution

[[`Project Page`](https://praeclarumjj3.github.io/oneformer/)] [[`arXiv`](http://arxiv.org/abs/2208.03382)] [[`GitHub`](https://github.com/SHI-Labs/OneFormer)] [[`BibTeX`](#citation)]

This repo contains the code for the colab demo for our paper **OneFormer: One Transformer to Rule Universal Image Segmentation**. For more information about OneFormer, please check out our [Project Page](https://praeclarumjj3.github.io/oneformer/) and [GitHub repo](https://github.com/SHI-Labs/OneFormer).



## Citation

If you found OneFormer useful in your research, please consider starring ⭐ us on GitHub and citing 📚 us in your research!

```bibtex

@inproceedings{jain2023oneformer,

      title={{OneFormer: One Transformer to Rule Universal Image Segmentation}},

      author={Jitesh Jain and Jiachen Li and MangTik Chiu and Ali Hassani and Nikita Orlov and Humphrey Shi},

      journal={CVPR}, 

      year={2023}

    }

```