.. -*- coding: utf-8 -*-

.. image:: https://img.shields.io/badge/docs-v1.0.1-yellow.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.binseg/v1.0.1/index.html
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   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.binseg/master/index.html
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   :target: https://gitlab.idiap.ch/bob/bob.ip.binseg/commits/v1.0.1
.. image:: https://gitlab.idiap.ch/bob/bob.ip.binseg/badges/v1.0.1/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.binseg/commits/v1.0.1
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   :target: https://pypi.python.org/pypi/bob.ip.binseg


===============================================
 Binary Segmentation Benchmark Package for Bob
===============================================

This package is part of the signal-processing and machine learning toolbox
Bob_.  It implements training and inference for binary segmentation tasks.


Installation
------------

Complete bob's `installation`_ instructions. Then, to install this
package, run::

  $ conda install bob.ip.binseg


Citation
--------

If you use this software package in a publication, we would appreciate if you
could cite our work::

   @misc{laibacher_anjos_2019,
      title         = {On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy},
      author        = {Tim Laibacher and Andr\'e Anjos},
      year          = {2019},
      eprint        = {1909.03856},
      archivePrefix = {arXiv},
      primaryClass  = {cs.CV},
      url           = {https://arxiv.org/abs/1909.03856},
   }


Contact
-------

For questions or reporting issues to this software package, contact our
development `mailing list`_.


.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://www.idiap.ch/software/bob/install
.. _mailing list: https://www.idiap.ch/software/bob/discuss
