Metadata-Version: 2.4
Name: claritycore
Version: 0.0.1
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
Description-Content-Type: text/markdown

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)
---------------

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:

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`.
