Software Open Access
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
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rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Schambach, Maximilian</foaf:name> <foaf:givenName>Maximilian</foaf:givenName> <foaf:familyName>Schambach</foaf:familyName> </rdf:Description> </dct:creator> <dct:title>Colour 0.3.15</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued> <dcat:keyword>API</dcat:keyword> <dcat:keyword>Biochemistry</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> <dcat:keyword>Whiteness</dcat:keyword> <frapo:isFundedBy rdf:resource="info:eu-repo/grantAgreement/EC/FP7/303780/"/> <schema:funder> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </schema:funder> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-01-25</dct:issued> <owl:sameAs rdf:resource="https://zenodo.org/record/3627408"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3627408</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:relation rdf:resource="https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.rst"/> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.605791"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/ecfunded"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/zenodo"/> <owl:versionInfo>0.3.15</owl:versionInfo> <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> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:rights> <dct:RightsStatement rdf:about="https://opensource.org/licenses/BSD-3-Clause"> <rdfs:label>BSD 3-Clause "New" or "Revised" License</rdfs:label> </dct:RightsStatement> </dct:rights> <dcat:accessURL rdf:resource="https://doi.org/10.5281/zenodo.3627408"/> </dcat:Distribution> </dcat:distribution> <dcat:distribution> <dcat:Distribution> <dcat:accessURL>https://doi.org/10.5281/zenodo.3627408</dcat:accessURL> <dcat:byteSize>1266009</dcat:byteSize> <dcat:downloadURL>https://zenodo.org/record/3627408/files/colour-science-0.3.15.tar.gz</dcat:downloadURL> <dcat:mediaType>application/x-tar</dcat:mediaType> </dcat:Distribution> </dcat:distribution> </rdf:Description> <foaf:Project rdf:about="info:eu-repo/grantAgreement/EC/FP7/303780/"> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">303780</dct:identifier> <dct:title>GAZE-BASED PERCEPTUAL AUGMENTATION</dct:title> <frapo:isAwardedBy> <foaf:Organization> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">10.13039/501100000780</dct:identifier> <foaf:name>European Commission</foaf:name> </foaf:Organization> </frapo:isAwardedBy> </foaf:Project> </rdf:RDF>
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