Metadata-Version: 2.1
Name: pyift
Version: 0.0.1.dev6
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
Description: # PyIFT
        
        [![Build Status](https://api.travis-ci.org/PyIFT/pyift.svg?branch=master)](https://travis-ci.com/github/PyIFT/pyift)
        [![codecov](https://codecov.io/gh/PyIFT/pyift/branch/master/graph/badge.svg)](https://codecov.io/gh/PyIFT/pyift)
        [![Documentation Status](https://readthedocs.org/projects/pyift/badge/?version=latest)](https://pyift.readthedocs.io/en/latest)
        
        ## Python Image Foresting Transform Library
        
        PyIFT is a Python wrapper of a fork 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}
        }
        ```
        
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
