Metadata-Version: 2.4
Name: torch-kaleidoscope
Version: 0.0.7
Summary: A tool kit for the use of non-RGB colour representations with torchvision and the PyTorch framework.
Author-email: Alexis J S Payne <academia@aksan.dev>
Keywords: machine learning,image processing,computer vision
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch>=2.6
Requires-Dist: torchvision>=0.21
Dynamic: license-file

# torch-kaleidoscope
A python library for providing PyTorch compatible colour representation utilities.

# acknowledgements
The work that lead to needing this, as well as huge swathes of the conversions code and testing present in this repository owe their existence to the scikit-image library[[1]](#1). In particular Nicolas Pinto, Ralf Gommers, Travis Oliphant, Matt Terry, Alex Izvorski and everyone else who contributed to the color module. 

# references
<a id="1">[1]</a> 
[scikit-image](https://doi.org/10.7717/peerj.453), the scikit-image team (2014) 
