Metadata-Version: 2.1
Name: pyift
Version: 0.0.2.dev4
Summary: Python Image Foresting Transform Library
Home-page: https://github.com/pyift/pyift
Author: Jordao Bragantini
Author-email: jordao.bragantini+pyift@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: C
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
License-File: LICENSE

# PyIFT

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## Python Image Foresting Transform Library

PyIFT is a Python wrapper of a fork of the [LIDS](http://lids.ic.unicamp.br/) C library.

Its main feature is fast shortest-path algorithms in image grids and sparse graphs to perform the image foresting transform operators.

## Installation

Install PyIFT via pip.

```sh
pip install pyift
```

## Acknowledgements

The development of this library was initially supported by FAPESP (2018/08951-8 and 2016/21591-5).

## Citing

```latex
@article{falcao2004image,
  title={The image foresting transform: Theory, algorithms, and applications},
  author={Falc{\~a}o, Alexandre X and Stolfi, Jorge and de Alencar Lotufo, Roberto},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  volume={26},
  number={1},
  pages={19--29},
  year={2004},
  publisher={IEEE}
}
```


