Title: Colour 0.4.0

Type Software Mansencal, Thomas, Mauderer, Michael, Parsons, Michael, Shaw, Nick, Wheatley, Kevin, Cooper, Sean, Vandenberg, Jean D., Canavan, Luke, Crowson, Katherine, Lev, Ofek, Leinweber, Katrin, Sharma, Shriramana, Sobotka, Troy James, Moritz, Dominik, Pppp, Matt, Rane, Chinmay, Eswaramoorthy, Pavithra, Mertic, John, Pearlstine, Ben, Leonhardt, Manuel, Niemitalo, Olli, Szymanski, Marek, Schambach, Maximilian, Huang, Sianyi, Wei, Mike, Joywardhan, Nishant, Wagih, Omar, Redman, Pawel, Goldstone, Joseph, Hill, Stephen, Smith, Jedediah, Savoir, Frederic, Saxena, Geetansh, Chopra, Saransh, Sibiryakov, Ilia, Gates, Tim, Pal, Gajendra, Tessore, Nicolas, Pierre, Aurélien (2022): Colour 0.4.0. Zenodo. Software. https://zenodo.org/record/4445350

Authors: Mansencal, Thomas (WetaFX) ; Mauderer, Michael (University of Dundee) ; Parsons, Michael (The Moving Picture Company) ; Shaw, Nick (Antler Post) ; Wheatley, Kevin (Framestore) ; Cooper, Sean ; Vandenberg, Jean D. (The Walt Disney Studios) ; Canavan, Luke (Continuum Analytics) ; Crowson, Katherine ; Lev, Ofek ; Leinweber, Katrin ; Sharma, Shriramana ; Sobotka, Troy James ; Moritz, Dominik (Apple) ; Pppp, Matt ; Rane, Chinmay ; Eswaramoorthy, Pavithra ; Mertic, John (Linux Foundation) ; Pearlstine, Ben ; Leonhardt, Manuel (ARRI) ; Niemitalo, Olli ; Szymanski, Marek ; Schambach, Maximilian ; Huang, Sianyi ; Wei, Mike ; Joywardhan, Nishant (University of Delhi) ; Wagih, Omar (Cairo University) ; Redman, Pawel (Wrocław University of Science and Technology) ; Goldstone, Joseph (ARRI) ; Hill, Stephen (Lucasfilm) ; Smith, Jedediah (Method Studios) ; Savoir, Frederic (Amazing Digital Studios) ; Saxena, Geetansh (University of Delhi) ; Chopra, Saransh (University of Delhi) ; Sibiryakov, Ilia (University of Portsmouth) ; Gates, Tim ; Pal, Gajendra ; Tessore, Nicolas ; Pierre, Aurélien (darktable-org) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Colour Science for Python

Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. It is freely available under the New BSD License terms. Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States.

Draft Release Notes

The draft release notes of the develop branch are available at this url.

Sponsors

We are grateful 💖 for the support of our sponsors. If you'd like to join them, please consider becoming a sponsor on OpenCollective.

Features

Colour features a rich dataset and collection of objects, please see the features in the documentation for more information.

User Guide

Installation

Colour and its primary dependencies can be easily installed from the Python Package Index by issuing this command in a shell:

The detailed installation procedure for the secondary dependencies is described in the Installation Guide.

Colour is also available for Anaconda from Continuum Analytics via conda-forge:

Tutorial

The static tutorial provides an introduction to Colour. An interactive version is available via Google Colab.

How-To

The Google Colab How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases.

Contributing

If you would like to contribute to Colour, please refer to the following Contributing guide.

Changes

The changes are viewable on the Releases page.

Bibliography

The bibliography is available on the Bibliography page.

It is also viewable directly from the repository in BibTeX format.

API Reference

The main technical reference for Colour is the API Reference.

Code of Conduct

The Code of Conduct, adapted from the Contributor Covenant 1.4, is available on the Code of Conduct page.

About

Colour by Colour Developers Copyright 2013 Colour Developers – colour-developers@colour-science.org This software is released under terms of New BSD License: https://opensource.org/licenses/BSD-3-Clause https://github.com/colour-science/colour

More information

• DOI: 10.5281/zenodo.4445350

Subjects

• API, Biochemistry, Blackbody, Characterisation, Chromatic Adaptation, Colorimetry, Colour, Colour Appearance Model, Colour Difference, Colour Matching Functions, Colour Model, Colour Notation System, Colour Quality, Colour Rendition Chart, Colour Science, Correlated Colour Temperature, Illuminants, Lightness, Luminance, Luminous Efficiency Function, Open Source, Optical Phenomenon, Photometry, Planckian Radiator, Python, Reflectance Recovery, Spectrum, Tristimulus Values, Whiteness

Dates

• Publication date: 2022
• Issued: February 20, 2022

Rights

• https://www.eclipse.org/org/documents/edl-v10.php BSD 3-Clause "New" or "Revised" License
• info:eu-repo/semantics/openAccess Open Access

Funding Information

Format

electronic resource

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