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Title: Colour 0.3.13

Type Software Mansencal, Thomas, Mauderer, Michael, Parsons, Michael, Canavan, Luke, Cooper, Sean, Shaw, Nick, Wheatley, Kevin, Crowson, Katherine, Lev, Ofek, Leinweber, Katrin, Vandenberg, Jean D., Sharma, Shriramana (2018): Colour 0.3.13. Zenodo. Software. https://zenodo.org/record/2647615

Authors: Mansencal, Thomas (Weta Digital) ; Mauderer, Michael (University of Dundee) ; Parsons, Michael (The Moving Picture Company) ; Canavan, Luke (Continuum Analytics) ; Cooper, Sean ; Shaw, Nick (Antler Post) ; Wheatley, Kevin (Framestore) ; Crowson, Katherine ; Lev, Ofek ; Leinweber, Katrin ; Vandenberg, Jean D. (The Walt Disney Studios) ; Sharma, Shriramana ;

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Summary

Colour Science for Python

Colour is a Python colour science package implementing a comprehensive number of colour theory transformations and algorithms.

It is open source and freely available under the New BSD License terms.

Features

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

Online

Colour can be used online with Google Colab.

Installation

The installation procedure is described in the Installation Guide.

Usage

The two main references for Colour usage are the Colour Manual and the Jupyter Notebooks with detailed historical and theoretical context and images:

Colour Manual Jupyter Notebooks

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.

About

Colour by Colour Developers - 2013-2019 Copyright © 2013-2019 – Colour Developers – colour-science@googlegroups.com 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.2647615

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, Contrast Sensitivity Function, 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: 2018
  • Issued: April 20, 2018

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
303780info:eu-repo/grantAgreement/EC/FP7/303780/10.13039/100011102Crossref Funder IDEuropean Commission

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
Citeshttps://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.rst
IsVersionOfhttps://doi.org/10.5281/zenodo.605791
IsPartOfhttps://zenodo.org/communities/ecfunded
IsPartOfhttps://zenodo.org/communities/zenodo