physics-inspired computer vision algorithms
Project description
PhyCV
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. PinPyTorch
version to 1.13 -
Version 1.2.3
Fix the opencv import bug in
pst_gpu.py
andpage_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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