Software Open Access
Colour 0.3.8
Mansencal, Thomas; Mauderer, Michael; Parsons, Michael; Canavan, Luke; Cooper, Sean; Shaw, Nick
DCAT Export
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<dcat:keyword>API</dcat:keyword>
<dcat:keyword>Blackbody</dcat:keyword>
<dcat:keyword>Characterisation</dcat:keyword>
<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>
<dcat:keyword>Colour Model</dcat:keyword>
<dcat:keyword>Colour Notation System</dcat:keyword>
<dcat:keyword>Colour Quality</dcat:keyword>
<dcat:keyword>Colour Rendition Chart</dcat:keyword>
<dcat:keyword>Colour Science</dcat:keyword>
<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><strong>Colour</strong>&nbsp;is a&nbsp;<strong>Python</strong>&nbsp;colour science package implementing a comprehensive number of colour theory transformations and algorithms.</p> <p>It is open source and freely available under the New BSD License terms:&nbsp;http://opensource.org/licenses/BSD-3-Clause</p> <p><strong>Features</strong></p> <p>Colour features a rich dataset and collection of objects, please see the highlights page for more information:&nbsp;http://colour-science.org/features</p> <p><strong>Installation</strong></p> <p>The installation procedure is described in the Installation Guide:&nbsp;http://colour-science.org/installation-guide</p> <p><strong>Usage</strong></p> <p>The two main references for Colour usage are the complete sphinx API Reference and the IPython Notebooks with detailed historical and theoretical context and images:</p> <ul> <li>API Reference:&nbsp;http://colour.readthedocs.io/en/latest</li> <li>IPython Notebooks:&nbsp;http://nbviewer.jupyter.org/github/colour-science/colour-notebooks/blob/master/notebooks/colour.ipynb</li> </ul> <p><strong>Contributing</strong></p> <p>If you would like to contribute to Colour, please refer to the following Contributing guide:&nbsp;http://colour-science.org/contributing</p> <p><strong>Changes</strong></p> <p>The changes are viewable on the Releases page:&nbsp;https://github.com/colour-science/colour/releases</p> <p><strong>Bibliography</strong></p> <p>The bibliography is available on the Bibliography page:&nbsp;http://colour-science.org/bibliography</p> <p>It is also viewable directly from the repository in either BibTeX (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib) format or reStructuredText (https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.rst).</p> <p><strong>About</strong></p> <p><strong>Colour</strong>&nbsp;by Colour Developers - 2013-2016<br> Copyright &copy; 2013-2016&nbsp;&ndash; Colour Developers &ndash; colour-science@googlegroups.com<br> This software is released under terms of New BSD License: http://opensource.org/licenses/BSD-3-Clause<br> http://github.com/colour-science/colour</p></dct:description>
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16,547
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| All versions | This version | |
|---|---|---|
| Views | 16,547 | 387 |
| Downloads | 436 | 4 |
| Data volume | 1.5 GB | 52.2 MB |
| Unique views | 12,707 | 299 |
| Unique downloads | 327 | 3 |
Indexed in
- Publication date:
- July 7, 2016
- DOI:
-
- Keyword(s):
- API 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
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- License (for files):
- BSD 3-Clause "New" or "Revised" License