Metadata-Version: 2.4
Name: claritycore
Version: 0.0.2
Summary: 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.
Project-URL: Homepage, https://github.com/Bezdarnost/claritycore
Project-URL: Repository, https://github.com/Bezdarnost/claritycore
Author-email: Aman Urumbekov <amanurumbekov@gmail.com>
License-File: LICENSE
Keywords: computer-vision,deblurring,denoising,image-restoration,super-resolution,video-restoration
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.10
Requires-Dist: loguru==0.7.3
Requires-Dist: torch==2.7.0
Requires-Dist: torchvision==0.22.0
Provides-Extra: dev
Requires-Dist: pre-commit; extra == 'dev'
Requires-Dist: pytest; extra == 'dev'
Requires-Dist: ruff; extra == 'dev'
Requires-Dist: yamlfix; extra == 'dev'
Description-Content-Type: text/markdown

<p align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/Bezdarnost/claritycore/main/docs/assets/logo_full.png">
    <img alt="ClarityCore" src="https://raw.githubusercontent.com/Bezdarnost/claritycore/main/docs/assets/logo_full.png" width=100%>
  </picture>
</p>

<h3 align="center">
Easy and fast low-level vision for everyone
</h3>

---

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.

<p align="center">
<b>
If you find ClarityCore useful, please consider giving it a star ⭐!
</b>
</p>

---

*Latest News* 🚀
- [2025/10] Project start

---

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

[![Star History Chart](https://api.star-history.com/svg?repos=bezdarnost/claritycore&type=Date)](https://www.star-history.com/#bezdarnost/claritycore&Date)

License
-------

Apache License 2.0. See `LICENSE`.
