claritycore 0.0.2

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.

Easy and fast low-level vision for everyone

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Next-generation Open Source toolkit for low-level vision. Engineered for state-of-the-art performance in image and video pixel2pixel tasks, including Super-Resolution, Denoising, Deblurring, and more.

If you find ClarityCore useful, please consider giving it a star ⭐!

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Latest News 🚀

• [2025/10] Project start

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Quickstart (uv)

1. Ensure you have Python 3.10+ installed.
2. Install uv (one-time):

curl -LsSf https://astral.sh/uv/install.sh | sh

3. Install the project in editable mode with uv:

uv pip install -e .

4. 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:

@software{ClarityCore_2025,
          author = {Urumbekov, Aman},
          license = {Apache-2.0},
          month = sep,
          title = {{ClarityCore}},
          url = {https://github.com/Bezdarnost/claritycore},
          year = {2025}
}

Urumbekov, A. (2025). ClarityCore: A toolkit for low-level vision. GitHub. https://github.com/bezdarnost/claritycore

Star History

License

Apache License 2.0. See LICENSE.