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physics-inspired computer vision algorithms

Project description

PhyCV

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Welcome to PhyCV ! The First Physics-inspired Computer Vision Python library developed by Jalali-Lab @ UCLA. This repo is maintained by Yiming Zhou.

Change Log

  • Version 1.2.4

    Improve PAGE implementation. Pin PyTorch version to 1.13

  • Version 1.2.3

    Fix the opencv import bug in pst_gpu.py and page_gpu.py.

  • Version 1.2.2

    Morphological operations are simplified and improved.

  • Version 1.2.1

    Minor improvements for loading images.

  • Version 1.2.0

    We release VEViD, an efficient algorithm for both low-light enhancement and color enhancement! We also significantly improved the document and code!

  • Version 1.1.1

    Fix minor bugs in page_create_edge .

  • Version 1.1.0

    The load_img method now supports loading images from both an image files and image arrays.

  • Version 1.0.0

    The first release of PhyCV is available!# Change Log

If you find PhyCV useful in your research, please star :star: this repository and consider citing the following preprint:

@article{zhou2023phycv,
  title={PhyCV: The First Physics-inspired Computer Vision Library},
  author={Zhou, Yiming and MacPhee, Callen and Suthar, Madhuri and Jalali, Bahram},
  journal={arXiv preprint arXiv:2301.12531},
  year={2023}
}

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