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

.. _bob.ip.binseg:

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

Package to benchmark and evaluate a range of neural network architectures for
binary segmentation tasks on 2D Eye Fundus Images (2DFI). It is build using
PyTorch.

Please use the BibTeX reference below to cite this work:

.. code:: bibtex

   @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},
   }


Additional Material
===================

The additional material referred to in the paper can be found under
:ref:`bob.ip.binseg.covdresults` and :download:`here </additionalresults.pdf>`


Users Guide
===========

.. toctree::
   :maxdepth: 2

   setup
   datasets
   training
   evaluation
   benchmarkresults
   covdresults
   configs
   plotting
   visualization
   api
   acknowledgements

.. todolist::

.. include:: links.rst