Colour - Datasets
=================
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Colour science datasets for use with
`Colour <https://github.com/colour-science/colour>`__ or any Python package
manipulating colours. The datasets are hosted in `Zenodo <https://zenodo.org>`__
under the
`Colour Science - Datasets <https://zenodo.org/communities/colour-science-datasets>`__
community.
It is open source and freely available under the
`BSD-3-Clause <https://opensource.org/licenses/BSD-3-Clause>`__ terms.
.. contents:: **Table of Contents**
:backlinks: none
:depth: 2
.. sectnum::
Features
--------
**Colour - Datasets** was created to overcome issues encountered frequently
when trying to access or use colour science datasets:
- No straightforward ingestion path for dataset content.
- No simple loading mechanism for dataset content.
- Unavailability of the dataset, e.g. download url is down, dataset content is
passed directly from hand to hand.
- No information regarding the definitive origination of the dataset.
**Colour - Datasets** offers all the above: it allows users to ingest and load
colour science datasets with a single function call. The datasets information
is hosted on `Zenodo <https://zenodo.org/communities/colour-science-datasets>`__
where the record for a dataset typically contain:
- An *urls.txt* file describing the urls to source the dataset files from.
- A copy of those files in the eventuality where the source files are not
available or the content has changed without notice.
- Information about the authors, content and licensing.
When no explicit licensing information is available, the dataset adopts the
**Other (Not Open)** licensing scheme, implying that assessing usage conditions
is at the sole discretion of the users.
Examples
^^^^^^^^
**Colour - Datasets** can also be used online with
`Google Colab <https://colab.research.google.com/notebook#fileId=1YwIfDTBVP3XUYJAyZVEDWj92DJCB0_3v&offline=true&sandboxMode=true>`__.
Most of the objects are available from the ``colour_datasets`` namespace:
.. code-block:: python
import colour_datasets
The available datasets are listed with the ``colour_datasets.datasets()``
definition:
.. code-block:: python
print(colour_datasets.datasets())
.. code-block:: text
colour-science-datasets
=======================
Datasets : 23
Synced : 1
URL : https://zenodo.org/communities/colour-science-datasets/
Datasets
--------
[ ] 3269926 : Agfa IT8.7/2 Set - Marszalec (n.d.)
[ ] 8314702 : Camera Dataset - Solomatov and Akkaynak (2023)
[ ] 3245883 : Camera Spectral Sensitivity Database - Jiang et al. (2013)
[ ] 3367463 : Constant Hue Loci Data - Hung and Berns (1995)
[ ] 3362536 : Constant Perceived-Hue Data - Ebner and Fairchild (1998)
[ ] 3270903 : Corresponding-Colour Datasets - Luo and Rhodes (1999)
[ ] 3269920 : Forest Colors - Jaaskelainen et al. (1994)
[ ] 4394536 : LUTCHI Colour Appearance Data - Luo and Rhodes (1997)
[x] 3245875 : Labsphere SRS-99-020 - Labsphere (2019)
[ ] 3269924 : Lumber Spectra - Hiltunen (n.d.)
[ ] 4051012 : Measured Commercial LED Spectra - Brendel (2020)
[ ] 3269918 : Munsell Colors Glossy (All) (Spectrofotometer Measured) - Orava (n.d.)
[ ] 3269916 : Munsell Colors Glossy (Spectrofotometer Measured) - Haanpalo (n.d.)
[ ] 3269914 : Munsell Colors Matt (AOTF Measured) - Hauta-Kasari (n.d.)
[ ] 3269912 : Munsell Colors Matt (Spectrofotometer Measured) - Hauta-Kasari (n.d.)
[ ] 3245895 : New Color Specifications for ColorChecker SG and Classic Charts - X-Rite (2016)
[ ] 3252742 : Observer Function Database - Asano (2015)
[ ] 3269922 : Paper Spectra - Haanpalo (n.d.)
[ ] 6590768 : Physlight - Camera Spectral Sensitivity Curves - Winquist et al. (2022)
[ ] 3372171 : RAW to ACES Utility Data - Dyer et al. (2017)
[ ] 4642271 : Spectral Database of Commonly Used Cine Lighting - Karge et al. (2015)
[ ] 4297288 : Spectral Sensitivity Database - Zhao et al. (2009)
[ ] 4050598 : Spectral Upsampling Coefficient Tables - Jakob and Hanika. (2019)
A ticked checkbox means that the particular dataset has been synced locally.
A dataset is loaded by using its unique number: *3245895*:
.. code-block:: python
print(colour_datasets.load("3245895").keys())
::
Pulling "New Color Specifications for ColorChecker SG and Classic Charts" record content...
Downloading "urls.txt" file: 8.19kB [00:01, 5.05kB/s]
Downloading "ColorChecker24_After_Nov2014.zip" file: 8.19kB [00:01, 6.52kB/s]
Downloading "ColorChecker24_Before_Nov2014.zip" file: 8.19kB [00:01, 7.66kB/s]
Downloading "ColorCheckerSG_After_Nov2014.zip" file: 8.19kB [00:01, 7.62kB/s]
Downloading "ColorCheckerSG_Before_Nov2014.zip" file: 8.19kB [00:00, 9.39kB/s]
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorCheckerSG_Before_Nov2014.zip" archive...
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorCheckerSG_After_Nov2014.zip" archive...
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorChecker24_After_Nov2014.zip" archive...
Unpacking "/Users/kelsolaar/.colour-science/colour-datasets/3245895/dataset/ColorChecker24_Before_Nov2014.zip" archive...
odict_keys(['ColorChecker24 - After November 2014', 'ColorChecker24 - Before November 2014', 'ColorCheckerSG - After November 2014', 'ColorCheckerSG - Before November 2014'])
Alternatively, a dataset can be loaded by using its full title:
*New Color Specifications for ColorChecker SG and Classic Chart - X-Rite (2016)s*
.. code-block:: python
print(colour_datasets.load("3245895").keys())
.. code-block:: text
odict_keys(['ColorChecker24 - After November 2014', 'ColorChecker24 - Before November 2014', 'ColorCheckerSG - After November 2014', 'ColorCheckerSG - Before November 2014'])
User Guide
----------
Installation
^^^^^^^^^^^^
Primary Dependencies
~~~~~~~~~~~~~~~~~~~~
**Colour - Datasets** requires various dependencies in order to run:
- `python >= 3.9, < 4 <https://www.python.org/download/releases>`__
- `cachetools <https://pypi.org/project/cachetools>`__
- `colour-science >= 4.3 <https://pypi.org/project/colour-science>`__
- `imageio >= 2, < 3 <https://imageio.github.io>`__
- `numpy >= 1.22, < 2 <https://pypi.org/project/numpy>`__
- `scipy >= 1.8, < 2 <https://pypi.org/project/scipy>`__
- `tqdm <https://pypi.org/project/tqdm>`__
- `xlrd <https://pypi.org/project/xlrd>`__
Pypi
~~~~
Once the dependencies are satisfied, **Colour - Datasets** can be installed from
the `Python Package Index <http://pypi.python.org/pypi/colour-datasets>`__ by
issuing this command in a shell::
pip install --user colour-datasets
The overall development dependencies are installed as follows::
pip install --user 'colour-datasets[development]'
Contributing
^^^^^^^^^^^^
If you would like to contribute to `Colour - Datasets <https://github.com/colour-science/colour-datasets>`__,
please refer to the following `Contributing <https://www.colour-science.org/contributing>`__
guide for `Colour <https://github.com/colour-science/colour>`__.
Bibliography
^^^^^^^^^^^^
The bibliography is available in the repository in
`BibTeX <https://github.com/colour-science/colour-datasets/blob/develop/BIBLIOGRAPHY.bib>`__
format.
API Reference
-------------
The main technical reference for `Colour - Datasets <https://github.com/colour-science/colour-datasets>`__
is the `API Reference <https://colour-datasets.readthedocs.io/en/latest/reference.html>`__.
Code of Conduct
---------------
The *Code of Conduct*, adapted from the `Contributor Covenant 1.4 <https://www.contributor-covenant.org/version/1/4/code-of-conduct.html>`__,
is available on the `Code of Conduct <https://www.colour-science.org/code-of-conduct>`__ page.
Contact & Social
----------------
The *Colour Developers* can be reached via different means:
- `Email <mailto:colour-developers@colour-science.org>`__
- `Facebook <https://www.facebook.com/python.colour.science>`__
- `Github Discussions <https://github.com/colour-science/colour-datasets/discussions>`__
- `Gitter <https://gitter.im/colour-science/colour>`__
- `Twitter <https://twitter.com/colour_science>`__
About
-----
| **Colour - Datasets** by Colour Developers
| Copyright 2019 Colour Developers – `colour-developers@colour-science.org <colour-developers@colour-science.org>`__
| This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause
| `https://github.com/colour-science/colour-datasets <https://github.com/colour-science/colour-datasets>`__
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"description": "Colour - Datasets\n=================\n\n.. start-badges\n\n|actions| |coveralls| |codacy| |version|\n\n.. |actions| image:: https://img.shields.io/github/actions/workflow/status/colour-science/colour-datasets/.github/workflows/continuous-integration-quality-unit-tests.yml?branch=develop&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 <https://github.com/colour-science/colour>`__ or any Python package\nmanipulating colours. The datasets are hosted in `Zenodo <https://zenodo.org>`__\nunder the\n`Colour Science - Datasets <https://zenodo.org/communities/colour-science-datasets>`__\ncommunity.\n\nIt is open source and freely available under the\n`BSD-3-Clause <https://opensource.org/licenses/BSD-3-Clause>`__ 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 <https://zenodo.org/communities/colour-science-datasets>`__\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 <https://colab.research.google.com/notebook#fileId=1YwIfDTBVP3XUYJAyZVEDWj92DJCB0_3v&offline=true&sandboxMode=true>`__.\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.. code-block:: text\n\n colour-science-datasets\n =======================\n\n Datasets : 23\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 [ ] 8314702 : Camera Dataset - Solomatov and Akkaynak (2023)\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 [ ] 6590768 : Physlight - Camera Spectral Sensitivity Curves - Winquist et al. (2022)\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\n.. code-block:: text\n\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 >= 3.9, < 4 <https://www.python.org/download/releases>`__\n- `cachetools <https://pypi.org/project/cachetools>`__\n- `colour-science >= 4.3 <https://pypi.org/project/colour-science>`__\n- `imageio >= 2, < 3 <https://imageio.github.io>`__\n- `numpy >= 1.22, < 2 <https://pypi.org/project/numpy>`__\n- `scipy >= 1.8, < 2 <https://pypi.org/project/scipy>`__\n- `tqdm <https://pypi.org/project/tqdm>`__\n- `xlrd <https://pypi.org/project/xlrd>`__\n\nPypi\n~~~~\n\nOnce the dependencies are satisfied, **Colour - Datasets** can be installed from\nthe `Python Package Index <http://pypi.python.org/pypi/colour-datasets>`__ 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 <https://github.com/colour-science/colour-datasets>`__,\nplease refer to the following `Contributing <https://www.colour-science.org/contributing>`__\nguide for `Colour <https://github.com/colour-science/colour>`__.\n\nBibliography\n^^^^^^^^^^^^\n\nThe bibliography is available in the repository in\n`BibTeX <https://github.com/colour-science/colour-datasets/blob/develop/BIBLIOGRAPHY.bib>`__\nformat.\n\nAPI Reference\n-------------\n\nThe main technical reference for `Colour - Datasets <https://github.com/colour-science/colour-datasets>`__\nis the `API Reference <https://colour-datasets.readthedocs.io/en/latest/reference.html>`__.\n\nCode of Conduct\n---------------\n\nThe *Code of Conduct*, adapted from the `Contributor Covenant 1.4 <https://www.contributor-covenant.org/version/1/4/code-of-conduct.html>`__,\nis available on the `Code of Conduct <https://www.colour-science.org/code-of-conduct>`__ page.\n\nContact & Social\n----------------\n\nThe *Colour Developers* can be reached via different means:\n\n- `Email <mailto:colour-developers@colour-science.org>`__\n- `Facebook <https://www.facebook.com/python.colour.science>`__\n- `Github Discussions <https://github.com/colour-science/colour-datasets/discussions>`__\n- `Gitter <https://gitter.im/colour-science/colour>`__\n- `Twitter <https://twitter.com/colour_science>`__\n\nAbout\n-----\n\n| **Colour - Datasets** by Colour Developers\n| Copyright 2019 Colour Developers \u2013 `colour-developers@colour-science.org <colour-developers@colour-science.org>`__\n| This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause\n| `https://github.com/colour-science/colour-datasets <https://github.com/colour-science/colour-datasets>`__\n\n",
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