IDentity PATtern REcoGnition in Python

A program for identity classification by patterns in images using landmark-points-extracted patch and image processing.

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Supervisors
9. Acknowledgments

About The Project

This program is refactored from my master thesis at the University of Manchester in 2023 titled

"Identifying individual Xenopus using image analysis and machine learning."

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Built With

• 

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Getting Started

Prerequisites

use pip install -r requirements.txt if Normal installation below does not work

Installation

pip install git+https://github.com/eedrobup/idpatregpy.git

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Usage

Describe how to

1. import and encase each image and landmark points into imagepoints(IMPO) object
2. group IMPO into bulk for either model training or setting up database
3. how to use DatabaseBulk to recognize pattern of distinct identity from image(s)

For more examples, please refer to the Documentation

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Roadmap

• Imagepoints object for a set of image and its landmarks
  • base object
  • pre-labelled set object
  • non-labelled set object
• Bulk object for group up imagepoints object for landmarkdetector model training and identities database implementation
  • base object
  • U-Net3 training object
  • Database object
• Landmarkdetector model
  • base object
• Add usage readme

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the Modified BSD License. See LICENSE.txt for more information.

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Contact

Pubordee Aussavavirojekul (eedrobup) - @pu_aus - pubordee.a@gmail.com

Project Link: https://github.com/eedrobup/idpatregpy

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Supervisors

• Principal supervisor: Professor Tim Cootes
• Co-supervisor: Dr Sarah Woolner

Acknowledgments

• Dr Nawseen Tarannum
• Matthew Coates

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