Software Open Access
Colour 0.3.15
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; Olli Niemitalo; Marek Szymanski; Maximilian Schambach
DCAT Export
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<dcat:keyword>Chromatic Adaptation</dcat:keyword>
<dcat:keyword>Colorimetry</dcat:keyword>
<dcat:keyword>Colour</dcat:keyword>
<dcat:keyword>Colour Appearance Model</dcat:keyword>
<dcat:keyword>Colour Difference</dcat:keyword>
<dcat:keyword>Colour Matching Functions</dcat:keyword>
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<dcat:keyword>Correlated Colour Temperature</dcat:keyword>
<dcat:keyword>Illuminants</dcat:keyword>
<dcat:keyword>Lightness</dcat:keyword>
<dcat:keyword>Luminance</dcat:keyword>
<dcat:keyword>Luminous Efficiency Function</dcat:keyword>
<dcat:keyword>Open Source</dcat:keyword>
<dcat:keyword>Optical Phenomenon</dcat:keyword>
<dcat:keyword>Photometry</dcat:keyword>
<dcat:keyword>Planckian Radiator</dcat:keyword>
<dcat:keyword>Python</dcat:keyword>
<dcat:keyword>Reflectance Recovery</dcat:keyword>
<dcat:keyword>Spectrum</dcat:keyword>
<dcat:keyword>Tristimulus Values</dcat:keyword>
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<dct:description><p><strong>Colour Science for Python</strong></p> <p><a href="https://github.com/colour-science/colour">Colour</a>&nbsp;is an open-source&nbsp;<a href="https://www.python.org/">Python</a>&nbsp;package providing a comprehensive number of algorithms and datasets for colour science.</p> <p>It is freely available under the&nbsp;<a href="https://opensource.org/licenses/BSD-3-Clause">New BSD License</a>&nbsp;terms.</p> <p><strong>Colour</strong>&nbsp;is an affiliated project of&nbsp;<a href="https://numfocus.org/">NumFOCUS</a>, a 501(c)(3) nonprofit in the United States.</p> <p><strong>Features</strong></p> <p><strong>Colour</strong>&nbsp;features a rich dataset and collection of objects, please see the&nbsp;<a href="https://www.colour-science.org/features/">features</a>&nbsp;page for more information.</p> <p><strong>Online</strong></p> <p><strong>Colour</strong>&nbsp;can be used online with&nbsp;<a href="https://colab.research.google.com/notebook#fileId=1Im9J7or9qyClQCv5sPHmKdyiQbG4898K&amp;offline=true&amp;sandboxMode=true">Google Colab</a>.</p> <p><em><strong>Installation</strong></em></p> <p><strong>Colour</strong>&nbsp;can be easily installed from the&nbsp;<a href="https://pypi.org/project/colour-science/">Python Package Index</a>&nbsp;by issuing this command in a shell:</p> <pre>$ pip install colour-science</pre> <p><strong>Colour</strong>&nbsp;is also available for&nbsp;<a href="https://www.continuum.io/downloads">Anaconda</a>&nbsp;from&nbsp;<em>Continuum Analytics</em>&nbsp;via&nbsp;<a href="https://conda-forge.org/">conda-forge</a>:</p> <pre>$ conda install -c conda-forge colour-science</pre> <p>The detailed installation procedure is described in the&nbsp;<a href="https://www.colour-science.org/installation-guide/">Installation Guide</a>.</p> <p><strong>Documentation</strong></p> <p><em><strong>Tutorial</strong></em></p> <p>The&nbsp;<a href="https://colour.readthedocs.io/en/develop/tutorial.html">static tutorial</a>&nbsp;provides an introduction to&nbsp;<strong>Colour</strong>. An interactive version is available via&nbsp;<a href="https://colab.research.google.com/notebook#fileId=1Im9J7or9qyClQCv5sPHmKdyiQbG4898K&amp;offline=true&amp;sandboxMode=true">Google Colab</a>.</p> <p><em><strong>How-To Guide</strong></em></p> <p>The&nbsp;<a href="https://colab.research.google.com/notebook#fileId=1NRcdXSCshivkwoU2nieCvC3y14fx1X4X&amp;offline=true&amp;sandboxMode=true">How-To</a>&nbsp;guide for&nbsp;<strong>Colour</strong>&nbsp;shows various techniques to solve specific problems and highlights some interesting use cases.</p> <p><em><strong>API Reference</strong></em></p> <p>The main technical reference for&nbsp;<strong>Colour</strong>&nbsp;and its API is the&nbsp;<a href="https://colour.readthedocs.io/en/latest/manual.html">Colour Manual</a>.</p> <p><em><strong>Jupyter Notebooks</strong></em></p> <p><a href="http://nbviewer.jupyter.org/github/colour-science/colour-notebooks/blob/master/notebooks/colour.ipynb">Jupyter Notebooks</a>&nbsp;are available and designed to provide an historical perspective of colour science via&nbsp;<strong>Colour</strong>&nbsp;usage.</p> <p><strong>Contributing</strong></p> <p>If you would like to contribute to&nbsp;<strong>Colour</strong>, please refer to the following&nbsp;<a href="https://www.colour-science.org/contributing/">Contributing</a>&nbsp;guide.</p> <p><strong>Changes</strong></p> <p>The changes are viewable on the&nbsp;<a href="https://github.com/colour-science/colour/releases">Releases</a>&nbsp;page.</p> <p><strong>Bibliography</strong></p> <p>The bibliography is available on the&nbsp;<a href="https://www.colour-science.org/bibliography/">Bibliography</a>&nbsp;page.</p> <p>It is also viewable directly from the repository in&nbsp;<a href="https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib">BibTeX</a>&nbsp;format.</p> <p><strong>About</strong></p> <p><strong>Colour</strong>&nbsp;by Colour Developers - 2013-2020<br> Copyright &copy; 2013-2020 &ndash; Colour Developers &ndash;&nbsp;<a href="mailto:colour-science@googlegroups.com">colour-science@googlegroups.com</a><br> This software is released under terms of New BSD License:&nbsp;<a href="https://opensource.org/licenses/BSD-3-Clause">https://opensource.org/licenses/BSD-3-Clause</a><br> <a href="https://github.com/colour-science/colour">https://github.com/colour-science/colour</a></p></dct:description>
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9,795
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| All versions | This version | |
|---|---|---|
| Views | 9,795 | 1,017 |
| Downloads | 319 | 45 |
| Data volume | 1.1 GB | 57.0 MB |
| Unique views | 6,680 | 753 |
| Unique downloads | 244 | 42 |
Indexed in
- Publication date:
- January 25, 2020
- DOI:
-
- Keyword(s):
- 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
- Grants:
-
European Commission:
- DEEPVIEW - GAZE-BASED PERCEPTUAL AUGMENTATION (303780)
- Related identifiers:
- Cites
- Communities:
- License (for files):
- BSD 3-Clause "New" or "Revised" License