Ramblings in the world of Scene-Referred Gamut Mapping as part of the ACES VWG.

The following study models are implemented in the gamut_mapping_medicina_01 notebook.

• Mansencal and Scharfenberg (2020)
• Smith (2020)

The notebook is intended to be read with the JupyterLab Dark Theme:

Various compression functions are implemented in the gamut_mapping_compression_functions_01 notebook.

Images courtesy of:

• Justin Holt
• Thomas Mansencal
• Fabian Matas
• Carol Payne
• Martin Smekal

$ docker build -t colourscience/gamut-mapping-ramblings:latest "."

Note

Allocated memory will need to be increased in Docker preferences: Preferences --> Resources --> Advanced, 8Go should be enough.

Node.js is required for the Jupyter Lab Matplotlib extension.

Pip can be used to install the main dependencies, assuming you have created and activated a Virtual Environment:

$ pip install --user -r requirements.txt $ python -c "import imageio;imageio.plugins.freeimage.download()" $ jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib

Node.js is required for the Jupyter Lab Matplotlib extension.

Poetry can also be used to install the main dependencies:

$ poetry install $ poetry run python -c "import imageio;imageio.plugins.freeimage.download()" $ poetry run jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib

$ docker run -v $PWD:/home/colour-science/gamut-mapping-ramblings -p 8888:8888 colourscience/gamut-mapping-ramblings:latest

$ jupyter lab

$ poetry run jupyter lab

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