Metadata-Version: 1.2
Name: bob.ip.binseg
Version: 1.1.1
Summary: Binary Segmentation Benchmark Package for Bob
Home-page: https://gitlab.idiap.ch/bob/bob.ip.binseg
Author: Tim Laibacher
Author-email: tim.laibacher@idiap.ch
Maintainer: Andre Anjos
Maintainer-email: andre.anjos@idiap.ch
License: GPLv3
Description: .. -*- coding: utf-8 -*-
        
        .. image:: https://img.shields.io/badge/docs-available-orange.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.binseg/master/index.html
        .. image:: https://gitlab.idiap.ch/bob/bob.ip.binseg/badges/v1.1.1/pipeline.svg
           :target: https://gitlab.idiap.ch/bob/bob.ip.binseg/commits/v1.1.1
        .. image:: https://gitlab.idiap.ch/bob/bob.ip.binseg/badges/v1.1.1/coverage.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.binseg/master/coverage/index.html
        .. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
           :target: https://gitlab.idiap.ch/bob/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 Retinography},
              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
        
Keywords: bob
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
