Next-generation Open Source toolkit for low-level vision. Engineered for state-of-the-art performance in image and video restoration, including Super-Resolution, Denoising, Deblurring, and more.
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Project description
ClarityCore
Next-generation Open Source toolkit for low-level vision. Engineered for state-of-the-art performance in image and video restoration, including Super-Resolution, Denoising, Deblurring, and more.
Quickstart (uv)
- Ensure you have Python 3.10+ installed.
- Install
uv(one-time):
curl -LsSf https://astral.sh/uv/install.sh | sh
- Install the project in editable mode with uv:
uv pip install -e .
- Run the sample entry point:
uv run python -m claritycore
Project Status
This project is in its early stage. APIs and structure will evolve rapidly.
Citation
If you use ClarityCore in your research, please cite:
Urumbekov, A. (2025). ClarityCore: A toolkit for low-level vision. Version 0.0.1. GitHub. https://github.com/bezdarnost/claritycore
License
Apache License 2.0. See LICENSE.
Project details
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