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Transformer-models-in-CV

some basic transformer models about computer vision.


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TMICV

Transformer Models In Computer Vision
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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

![Product Name Screen Shot][product-screenshot]

Here's my project of transformers mudules in computer vision. I have inplemented the projects below:

Backbone Models Demo for Inference
✅ Resnet
✅ Densenet
✅ ResNext
✅ Vision Transformer
✅ Transformer Encoder
✅ Transfomer Decoder
✅ Swin Transformer
✅ DETR
✅ Tiny DETR
✅ Swin Transformer
✅ DETR

Under Construction:

  • 🚧 DETR
  • 🚧 MAE

To Do In the future:

  • 🕑 Swin Transformer
  • 🕑 MAE
  • 🕑 DEiT

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Built With Papers

  • pytorch

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Getting Started

  1. 👋Give the project a star⭐!
  2. 🔥Clone the repo.
    git clone https://github.com/LRY89757/Transformer-models-in-CV.git
  3. 💼install relevant packages:
    pip install -r requirements.txt

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

  • requirements

    pip install -r requirements.txt

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 MIT License. See LICENSE.txt for more information.

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Contact

My Name - @lry89757 - [email protected]

Project Link: https://github.com/LRY89757/Transformer-models-in-CV

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