Metadata-Version: 2.3
Name: linpxdens
Version: 1.0.0
Summary: linpxdens (Linear pixel density) is a Python package for analyzing geometric line structures and spacing patterns in images. It provides tools for line fitting, center estimation, outlier filtering, and periodic pattern analysis based on image data. From the periodic structure, the linear pixel density is calculated.
License: MIT
Author: Clemens Trunner
Requires-Python: >=3.12,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: matplotlib (>=3.10.5,<4.0.0)
Requires-Dist: numpy (>=2.2.6,<3.0.0)
Requires-Dist: opencv-python (>=4.12.0.88,<5.0.0.0)
Requires-Dist: tk (>=0.1.0,<0.2.0)
Description-Content-Type: text/markdown

# linpxdens

linpxdens (Linear pixel density) is a Python package for analyzing geometric line structures and spacing patterns in images. It provides tools for line fitting, center estimation, outlier filtering, and periodic pattern analysis based on image data. From the periodic structure, the linear pixel density is calculated.

## Installation

```bash
$ pip install linpxdens
```

## Usage

```bash
$ linpxdens <image_path>
```

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`linpxdens` was created by Clemens Trunner. It is licensed under the terms of the MIT license.

## Credits

`linpxdens` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).

