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colour-datasets-0.2.0


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توضیحات

Colour science datasets for use with Colour
ویژگی مقدار
سیستم عامل OS Independent
نام فایل colour-datasets-0.2.0
نام colour-datasets
نسخه کتابخانه 0.2.0
نگهدارنده ['Colour Developers']
ایمیل نگهدارنده ['colour-developers@colour-science.org']
نویسنده Colour Developers
ایمیل نویسنده colour-developers@colour-science.org
آدرس صفحه اصلی https://www.colour-science.org/
آدرس اینترنتی https://pypi.org/project/colour-datasets/
مجوز BSD-3-Clause
Colour - Datasets ================= .. start-badges |actions| |coveralls| |codacy| |version| .. |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 :target: https://github.com/colour-science/colour-datasets/actions :alt: Develop Build Status .. |coveralls| image:: http://img.shields.io/coveralls/colour-science/colour-datasets/develop.svg?style=flat-square :target: https://coveralls.io/r/colour-science/colour-datasets :alt: Coverage Status .. |codacy| image:: https://img.shields.io/codacy/grade/83345fbde65545d2a4499f32e72866ed/develop.svg?style=flat-square :target: https://www.codacy.com/app/colour-science/colour-datasets :alt: Code Grade .. |version| image:: https://img.shields.io/pypi/v/colour-datasets.svg?style=flat-square :target: https://pypi.org/project/colour-datasets :alt: Package Version .. end-badges 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 `New BSD License <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()) :: colour-science-datasets ======================= Datasets : 21 Synced : 1 URL : https://zenodo.org/communities/colour-science-datasets/ Datasets -------- [ ] 3269926 : Agfa IT8.7/2 Set - Marszalec (n.d.) [ ] 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.) [ ] 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()) 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 >= 3.8, < 4 <https://www.python.org/download/releases/>`__ - `cachetools <https://pypi.org/project/cachetools/>`__ - `colour-science >= 4 <https://pypi.org/project/colour-science/>`__ - `imageio >= 2, < 3 <https://imageio.github.io/>`__ - `numpy >= 1.19, < 2 <https://pypi.org/project/numpy/>`__ - `scipy >= 1.5, < 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 New BSD License: https://opensource.org/licenses/BSD-3-Clause | `https://github.com/colour-science/colour-datasets <https://github.com/colour-science/colour-datasets>`__


نیازمندی

مقدار نام
xtr biblib-simple;
xtr black;
- cachetools
>=0.4.0 colour-science
!=6.3) coverage
xtr coveralls;
xtr flake8;
xtr flynt;
>=2,<3 imageio
xtr invoke;
xtr mypy;
>=1.19,<2 numpy
>=4,<5 opencv-python
xtr pre-commit;
xtr pydata-sphinx-theme;
xtr pydocstyle;
xtr pytest-cov;
xtr pytest;
xtr pyupgrade;
xtr restructuredtext-lint;
>=1.5,<2 scipy
>=4,<5) sphinx
xtr sphinxcontrib-bibtex;
xtr toml;
- tqdm
xtr twine;
>=4,<5 typing-extensions
>=1.2,<2 xlrd


زبان مورد نیاز

مقدار نام
>=3.8,<3.11 Python


نحوه نصب


نصب پکیج whl colour-datasets-0.2.0:

    pip install colour-datasets-0.2.0.whl


نصب پکیج tar.gz colour-datasets-0.2.0:

    pip install colour-datasets-0.2.0.tar.gz