Summary

This PR implements support for machine learning inference to detect the colour checker.

The model is published on HuggingFace, and was trained on a purposely constructed dataset.

The model has only been trained on ColorChecker Classic 24 images and will not work with ColorChecker Nano or ColorChecker SG images.

Inference is performed by a script licensed under the terms of the GNU Affero General Public License v3.0 as it uses the Ultralytics YOLOv8 API which is incompatible with the BSD-3-Clause.

The segmentation API has been overhauled to provide a consistent interface across the two methods. It has also been improved following discussions in #53, #73, and #74.

Preflight

Code Style and Quality

[x] Unit tests have been implemented and passed.
[x] Pyright static checking has been run and passed.
[x] Pre-commit hooks have been run and passed.

Documentation

[x] New features are documented along with examples if relevant.
[x] The documentation is Sphinx and numpydoc compliant.

colour-science / colour-checker-detection

PR: Machine Learning Inference #75

Summary

Preflight