{ "info": { "author": "Colour Developers", "author_email": "colour-developers@colour-science.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Topic :: Scientific/Engineering", "Topic :: Software Development" ], "description": "Colour - Datasets\n=================\n\n.. start-badges\n\n|actions| |coveralls| |codacy| |version|\n\n.. |actions| image:: https://img.shields.io/github/workflow/status/colour-science/colour-datasets/Continuous%20Integration%20-%20Quality%20&%20Unit%20Tests?label=actions&logo=github&style=flat-square\n :target: https://github.com/colour-science/colour-datasets/actions\n :alt: Develop Build Status\n.. |coveralls| image:: http://img.shields.io/coveralls/colour-science/colour-datasets/develop.svg?style=flat-square\n :target: https://coveralls.io/r/colour-science/colour-datasets\n :alt: Coverage Status\n.. |codacy| image:: https://img.shields.io/codacy/grade/83345fbde65545d2a4499f32e72866ed/develop.svg?style=flat-square\n :target: https://www.codacy.com/app/colour-science/colour-datasets\n :alt: Code Grade\n.. |version| image:: https://img.shields.io/pypi/v/colour-datasets.svg?style=flat-square\n :target: https://pypi.org/project/colour-datasets\n :alt: Package Version\n\n.. end-badges\n\nColour science datasets for use with\n`Colour `__ or any Python package\nmanipulating colours. The datasets are hosted in `Zenodo `__\nunder the\n`Colour Science - Datasets `__\ncommunity.\n\nIt is open source and freely available under the\n`New BSD License `__ terms.\n\n.. contents:: **Table of Contents**\n :backlinks: none\n :depth: 2\n\n.. sectnum::\n\nFeatures\n--------\n\n**Colour - Datasets** was created to overcome issues encountered frequently\nwhen trying to access or use colour science datasets:\n\n- No straightforward ingestion path for dataset content.\n- No simple loading mechanism for dataset content.\n- Unavailability of the dataset, e.g. download url is down, dataset content is\n passed directly from hand to hand.\n- No information regarding the definitive origination of the dataset.\n\n**Colour - Datasets** offers all the above: it allows users to ingest and load\ncolour science datasets with a single function call. The datasets information\nis hosted on `Zenodo `__\nwhere the record for a dataset typically contain:\n\n- An *urls.txt* file describing the urls to source the dataset files from.\n- A copy of those files in the eventuality where the source files are not\n available or the content has changed without notice.\n- Information about the authors, content and licensing.\n\nWhen no explicit licensing information is available, the dataset adopts the\n**Other (Not Open)** licensing scheme, implying that assessing usage conditions\nis at the sole discretion of the users.\n\nExamples\n^^^^^^^^\n\n**Colour - Datasets** can also be used online with\n`Google Colab `__.\n\nMost of the objects are available from the ``colour_datasets`` namespace:\n\n.. code-block:: python\n\n >>> import colour_datasets\n\nThe available datasets are listed with the ``colour_datasets.datasets()``\ndefinition:\n\n.. code-block:: python\n\n >>> print(colour_datasets.datasets())\n\n::\n\n colour-science-datasets\n =======================\n\n Datasets : 21\n Synced : 1\n URL : https://zenodo.org/communities/colour-science-datasets/\n\n Datasets\n --------\n\n [ ] 3269926 : Agfa IT8.7/2 Set - Marszalec (n.d.)\n [ ] 3245883 : Camera Spectral Sensitivity Database - Jiang et al. (2013)\n [ ] 3367463 : Constant Hue Loci Data - Hung and Berns (1995)\n [ ] 3362536 : Constant Perceived-Hue Data - Ebner and Fairchild (1998)\n [ ] 3270903 : Corresponding-Colour Datasets - Luo and Rhodes (1999)\n [ ] 3269920 : Forest Colors - Jaaskelainen et al. (1994)\n [ ] 4394536 : LUTCHI Colour Appearance Data - Luo and Rhodes (1997)\n [x] 3245875 : Labsphere SRS-99-020 - Labsphere (2019)\n [ ] 3269924 : Lumber Spectra - Hiltunen (n.d.)\n [ ] 4051012 : Measured Commercial LED Spectra - Brendel (2020)\n [ ] 3269918 : Munsell Colors Glossy (All) (Spectrofotometer Measured) - Orava (n.d.)\n [ ] 3269916 : Munsell Colors Glossy (Spectrofotometer Measured) - Haanpalo (n.d.)\n [ ] 3269914 : Munsell Colors Matt (AOTF Measured) - Hauta-Kasari (n.d.)\n [ ] 3269912 : Munsell Colors Matt (Spectrofotometer Measured) - Hauta-Kasari (n.d.)\n [ ] 3245895 : New Color Specifications for ColorChecker SG and Classic Charts - X-Rite (2016)\n [ ] 3252742 : Observer Function Database - Asano (2015)\n [ ] 3269922 : Paper Spectra - Haanpalo (n.d.)\n [ ] 3372171 : RAW to ACES Utility Data - Dyer et al. (2017)\n [ ] 4642271 : Spectral Database of Commonly Used Cine Lighting - Karge et al. (2015)\n [ ] 4297288 : Spectral Sensitivity Database - Zhao et al. (2009)\n [ ] 4050598 : Spectral Upsampling Coefficient Tables - Jakob and Hanika. (2019)\n\nA ticked checkbox means that the particular dataset has been synced locally.\nA dataset is loaded by using its unique number: *3245895*:\n\n.. code-block:: python\n\n >>> print(colour_datasets.load('3245895').keys())\n\n::\n\n Pulling \"New Color Specifications for ColorChecker SG and Classic Charts\" record content...\n Downloading \"urls.txt\" file: 8.19kB [00:01, 5.05kB/s]\n Downloading \"ColorChecker24_After_Nov2014.zip\" file: 8.19kB [00:01, 6.52kB/s]\n Downloading \"ColorChecker24_Before_Nov2014.zip\" file: 8.19kB [00:01, 7.66kB/s]\n Downloading \"ColorCheckerSG_After_Nov2014.zip\" file: 8.19kB [00:01, 7.62kB/s]\n Downloading \"ColorCheckerSG_Before_Nov2014.zip\" file: 8.19kB [00:00, 9.39kB/s]\n Unpacking \"/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorCheckerSG_Before_Nov2014.zip\" archive...\n Unpacking \"/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorCheckerSG_After_Nov2014.zip\" archive...\n Unpacking \"/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorChecker24_After_Nov2014.zip\" archive...\n Unpacking \"/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorChecker24_Before_Nov2014.zip\" archive...\n odict_keys(['ColorChecker24 - After November 2014', 'ColorChecker24 - Before November 2014', 'ColorCheckerSG - After November 2014', 'ColorCheckerSG - Before November 2014'])\n\nAlternatively, a dataset can be loaded by using its full title:\n*New Color Specifications for ColorChecker SG and Classic Chart - X-Rite (2016)s*\n\n.. code-block:: python\n\n >>> print(colour_datasets.load('3245895').keys())\n odict_keys(['ColorChecker24 - After November 2014', 'ColorChecker24 - Before November 2014', 'ColorCheckerSG - After November 2014', 'ColorCheckerSG - Before November 2014'])\n\nUser Guide\n----------\n\nInstallation\n^^^^^^^^^^^^\n\nPrimary Dependencies\n~~~~~~~~~~~~~~~~~~~~\n\n**Colour - Datasets** requires various dependencies in order to run:\n\n- `python >= 3.8, < 4 `__\n- `cachetools `__\n- `colour-science >= 4 `__\n- `imageio >= 2, < 3 `__\n- `numpy >= 1.19, < 2 `__\n- `scipy >= 1.5, < 2 `__\n- `tqdm `__\n- `xlrd `__\n\nPypi\n~~~~\n\nOnce the dependencies are satisfied, **Colour - Datasets** can be installed from\nthe `Python Package Index `__ by\nissuing this command in a shell::\n\n pip install --user colour-datasets\n\nThe overall development dependencies are installed as follows::\n\n pip install --user 'colour-datasets[development]'\n\nContributing\n^^^^^^^^^^^^\n\nIf you would like to contribute to `Colour - Datasets `__,\nplease refer to the following `Contributing `__\nguide for `Colour `__.\n\nBibliography\n^^^^^^^^^^^^\n\nThe bibliography is available in the repository in\n`BibTeX `__\nformat.\n\nAPI Reference\n-------------\n\nThe main technical reference for `Colour - Datasets `__\nis the `API Reference `__.\n\nCode of Conduct\n---------------\n\nThe *Code of Conduct*, adapted from the `Contributor 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