Loss GOG

ICDT 2026: Perceptually Optimized Characterization for Displays using Sparse Color Sampling and sUCS

Installation

with uv (recommended)

uv add lossgog

with pip

pip install lossgog

Please view source code for example usage and details.

Will be completed after formally published with the paper.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
.github/workflows		.github/workflows
scripts		scripts
src/lossgog		src/lossgog
tests		tests
.gitignore		.gitignore
.python-version		.python-version
README.md		README.md
pyproject.toml		pyproject.toml
uv.lock		uv.lock