Colour - Checker Detection

Colour - Checker Detection is a Python package implementing various colour checker detection algorithms and related utilities.

https://raw.githubusercontent.com/colour-science/colour-checker-detection/master/docs/_static/ColourCheckerDetection_001.png

Features

The following colour checker detection algorithms are implemented:

  • Segmentation

  • Machine learning inference via Ultralytics YOLOv8

    • 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.

API

The main technical reference for Colour - Checker Detection is the API Reference.

Examples

Downloads