Metadata-Version: 2.4
Name: shinestacker
Version: 1.9.4
Summary: ShineStacker
Author-email: Luca Lista <luka.lista@gmail.com>
License-Expression: LGPL-3.0
Project-URL: Homepage, https://github.com/lucalista/shinestacker
Project-URL: Documentation, https://shinestacker.readthedocs.io/
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: argparse
Requires-Dist: imagecodecs
Requires-Dist: ipywidgets
Requires-Dist: jsonpickle
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: opencv_python
Requires-Dist: pillow
Requires-Dist: psdtags
Requires-Dist: psutil
Requires-Dist: PySide6
Requires-Dist: scipy
Requires-Dist: tifffile
Requires-Dist: tqdm
Requires-Dist: setuptools-scm
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Dynamic: license-file

# Shine Stacker

Focus Stacking Processing Framework and GUI designed for macro photographers, microscopists, and researchers who need precise control and reproducible stacking results.

[![CI multiplatform](https://github.com/lucalista/shinestacker/actions/workflows/ci-multiplatform.yml/badge.svg)](https://github.com/lucalista/shinestacker/actions/workflows/ci-multiplatform.yml)
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[![Qt Versions](https://img.shields.io/badge/Qt-6-blue.svg?&logo=Qt&logoWidth=18&logoColor=white)](https://www.qt.io/qt-for-python)
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[![codecov](https://codecov.io/github/lucalista/shinestacker/graph/badge.svg?token=Y5NKW6VH5G)](https://codecov.io/github/lucalista/shinestacker)
[![Documentation Status](https://readthedocs.org/projects/shinestacker/badge/?version=latest)](https://shinestacker.readthedocs.io/en/latest/?badge=latest)
 [![License: LGPL v3](https://img.shields.io/badge/License-LGPL_v3-blue.svg)](https://www.gnu.org/licenses/lgpl-3.0)
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<center><img src='https://raw.githubusercontent.com/lucalista/shinestacker/main/src/shinestacker/gui/ico/shinestacker.png' width="150" referrerpolicy="no-referrer" alt="Shine Stacker Logo"></center>

## Key Features
- 🪟 **Cross-Platform GUI**: Native app built with Qt6, available for Windows, macOS, and Linux.
- 🚀 **Batch Processing**: Automatically align, balance, and stack hundreds of images — perfect for macro or microscopy datasets.
- 🧩 **Modular Architecture**: Combine configurable modules for alignment, normalization, and blending to build custom workflows.
- 🖌️ **Retouch Editor**: Interactively refine your stacked image by painting in details from individual frames.
- 📊 **Jupyter & Python Integration**: Use Shine Stacker as a library inside your Python or Jupyter workflows.

<img src='https://raw.githubusercontent.com/lucalista/shinestacker/main/img/flies.gif' width="400" referrerpolicy="no-referrer">  <img src='https://raw.githubusercontent.com/lucalista/shinestacker/main/img/flies_stack.jpg' width="400" referrerpolicy="no-referrer">

## Interactive GUI

The graphical interface makes complex stacking tasks simple:
- **Project View** – Configure, preview, and run stacking workflows with optional intermediate results.
- **Retouch View** – Manually refine the final image by blending details from selected frames and applying filters.

Ideal for users who want the power of scripting and the comfort of a modern UI.

<img src='https://raw.githubusercontent.com/lucalista/shinestacker/main/img/coffee.gif' width="400" referrerpolicy="no-referrer">  <img src='https://raw.githubusercontent.com/lucalista/shinestacker/main/img/coffee_stack.jpg' width="400" referrerpolicy="no-referrer">

## Get Started

- 📦 [Install via PyPI](https://pypi.org/project/shinestacker/)
- 💻 [Run the GUI app](https://shinestacker.readthedocs.io/en/latest/gui.html)
- 🧠 [Reference](https://shinestacker.readthedocs.io/en/)
- 🐛 [Report an issue](https://github.com/lucalista/shinestacker/issues)

## Resources

 🌍 [Website on WordPress](https://shinestacker.wordpress.com) • 📖 [Main documentation](https://shinestacker.readthedocs.io) • 📝 [Changelog](https://github.com/lucalista/shinestacker/blob/main/CHANGELOG.md) 

## Installation

See the [main documentation](https://github.com/lucalista/shinestacker/blob/main/docs/main.md) for detailed installation instructions.

**Platform notes:**
- **Windows:** If you download the installer or ZIP archive, you may need to whitelist the app in your antivirus software.
- **macOS:** See the [installation note for macOS users](https://github.com/lucalista/shinestacker/blob/main/docs/macos-install.md).


## Acknowledgements & References

The first version of the core focus stack algorithm was inspired by the 
[Laplacian pyramids method](https://github.com/sjawhar/focus-stacking) implementation 
by Sami Jawhar, used under permission. The implementation in the latest releases 
was rewritten from the original code.

Key references:
* [Pyramid Methods in Image Processing](https://www.researchgate.net/publication/246727904_Pyramid_Methods_in_Image_Processing), E. H. Adelson, C. H. Anderson,  J. R. Bergen, P. J. Burt, J. M. Ogden, RCA Engineer, 29-6, Nov/Dec 1984
Pyramid methods in image processing
* [A Multi-focus Image Fusion Method Based on Laplacian Pyramid](http://www.jcomputers.us/vol6/jcp0612-07.pdf), Wencheng Wang, Faliang Chang, Journal of Computers 6 (12), 2559, December 2011

## License

<img src="https://www.gnu.org/graphics/lgplv3-147x51.png" alt="LGPL 3 logo">

- **Code**: The software is provided as is under the [GNU Lesser General Public License v3.0](https://www.gnu.org/licenses/lgpl-3.0.en.html). See [LICENSE](https://github.com/lucalista/shinestacker/blob/main/LICENSE) for details.

- **Logo**: The Shine Stacker logo was designed by [Alessandro Lista](https://linktr.ee/alelista). Copyright © Alessandro Lista. All rights reserved. The logo is not covered by the LGPL-3.0 license of this project.

## Attribution request

📸 If you publish images created with Shine Stacker, please consider adding a note such as:

*Created with Shine Stacker – https://github.com/lucalista/shinestacker*

This is not mandatory, but highly appreciated.

---
> Developed and maintained by [Luca Lista](https://github.com/lucalista).
> 💡 Contributions, feedback, and feature suggestions are warmly welcome.
> If you enjoy Shine Stacker, consider giving it a ⭐️ on GitHub — it really helps visibility!
