https://github.com/abdur75648/urdu-text-detection

Text line detection for Urdu OCR (UTRNet)
https://github.com/abdur75648/urdu-text-detection

contournet document-processing ocr text-detection urdu-ocr urdu-text-detection utrnet

Last synced: 21 days ago
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Text line detection for Urdu OCR (UTRNet)

• Host: GitHub
• URL: https://github.com/abdur75648/urdu-text-detection
• Owner: abdur75648
• Created: 2023-01-15T06:43:27.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-31T10:35:54.000Z (11 months ago)
• Last Synced: 2024-04-23T00:11:52.742Z (8 months ago)
• Topics: contournet, document-processing, ocr, text-detection, urdu-ocr, urdu-text-detection, utrnet
• Language: Python
• Homepage: https://abdur75648.github.io/UTRNet/
• Size: 48.5 MB
• Stars: 3
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Urdu OCR - Text Line Detection Inference

**Released as a supplement of [UTRNet: High-Resolution Urdu Text Recognition](https://github.com/abdur75648/UTRNet-High-Resolution-Urdu-Text-Recognition)**

[![UTRNet](https://img.shields.io/badge/UTRNet:%20High--Resolution%20Urdu%20Text%20Recognition-blueviolet?logo=github&style=flat-square)](https://github.com/abdur75648/UTRNet-High-Resolution-Urdu-Text-Recognition)

[![Website](https://img.shields.io/badge/Website-Visit%20Here-darkgreen?style=flat-square)](https://abdur75648.github.io/UTRNet/)

[![arXiv](https://img.shields.io/badge/arXiv-2306.15782-darkred.svg)](https://arxiv.org/abs/2306.15782)

[![SpringerLink](https://img.shields.io/badge/Springer-Page-darkblue.svg)](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_19)

[![SpringerLink](https://img.shields.io/badge/Springer-PDF-blue.svg)](https://rdcu.be/dkbIF)

[![Demo](https://img.shields.io/badge/Demo-Online-brightgreen.svg)](https://abdur75648-urduocr-utrnet.hf.space)

## Steps to run the code

***Note** - Due to several dependency issues in [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark), YoloV8 is used for text line detection. The model is finetuned on the [UrduDoc](https://paperswithcode.com/dataset/urdudoc) dataset.

* Clone the repository

* Install the dependencies

    ```bash

    pip install torch==2.0.1 ultralytics==8.1.8

    ```

* Download [yolov8m_UrduDoc.pt](https://github.com/abdur75648/urdu-text-detection/releases/download/v1.0.0/yolov8m_UrduDoc.pt)

* Put `test.jpg`

* Run `python3 detect.py`

* The output will be saved as `output.jpg`

## Note

The code & trained model is for research purposes only and must not be used for any other purpose without the author's explicit permission.

## Citation

If you use the code/model/dataset, please cite the following paper:

```BibTeX

@article{rahman2023utrnet,

      title={UTRNet: High-Resolution Urdu Text Recognition In Printed Documents}, 

      author={Abdur Rahman and Arjun Ghosh and Chetan Arora},

      journal={arXiv preprint arXiv:2306.15782},

      year={2023},

      eprint={2306.15782},

      archivePrefix={arXiv},

      primaryClass={cs.CV},

      doi = {https://doi.org/10.48550/arXiv.2306.15782},

      url = {https://arxiv.org/abs/2306.15782}

}

```

### License

[![Creative Commons License](https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png)](http://creativecommons.org/licenses/by-nc-sa/4.0/). This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/) for Noncommercial (academic & research) purposes only and must not be used for any other purpose without the author's explicit permission.