1 Colour - Checker Detection#
A Python package implementing various colour checker detection algorithms and related utilities.
It is open source and freely available under the BSD-3-Clause terms.

1.1 Features#
The following colour checker detection algorithms are implemented:
Segmentation
1.1.1 Examples#
Various usage examples are available from the examples directory.
1.2 User Guide#
User Guide#
The user guide provides an overview of Colour - Checker Detection and explains important concepts and features, details can be found in the API Reference.
Installation Guide#
Because of their size, the resources dependencies needed to run the various examples and unit tests are not provided within the Pypi package. They are separately available as Git Submodules when cloning the repository.
Primary Dependencies#
Colour - Checker Detection requires various dependencies in order to run:
Pypi#
Once the dependencies are satisfied, Colour - Checker Detection can be installed from the Python Package Index by issuing this command in a shell:
pip install --user colour-checker-detection
The tests suite dependencies are installed as follows:
pip install --user 'colour-checker-detection[tests]'
The documentation building dependencies are installed as follows:
pip install --user 'colour-checker-detection[docs]'
The overall development dependencies are installed as follows:
pip install --user 'colour-checker-detection[development]'
Bibliography#
- Abe11
Felix Abecassis. Opencv - rotation (deskewing). 2011. URL: http://felix.abecassis.me/2011/10/opencv-rotation-deskewing/ (visited on 2018-10-27).
1.3 API Reference#
API Reference#
Colour - Checker Detection#
Colour Checker Detection#
Segmentation#
colour_checker_detection
Settings for the segmentation of the X-Rite ColorChecker Classic and X-Rite ColorChecker Passport. |
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Settings for the segmentation of the X-Rite ColorChecker SG*. |
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Detect the colour checkers coordinates in given image \(image\) using segmentation. |
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Extract the colour checkers sub-images in given image using segmentation. |
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Detect the colour checkers swatches in given image using segmentation. |
Indices and tables#
1.4 Code of Conduct#
The Code of Conduct, adapted from the Contributor Covenant 1.4, is available on the Code of Conduct page.