Metadata-Version: 1.1
Name: bob.paper.btas_j2016
Version: 1.0.2
Summary: Package for BTAS 2016 paper on ASV-PAD systems
Home-page: https://gitlab.idiap.ch/bob/bob.paper.btas_j2016
Author: Pavel Korshunov
Author-email: pavel.korshunov@idiap.ch
License: BSD
Description: .. vim: set fileencoding=utf-8 :
        .. Fri 3 Feb 11:51:35 CEST 2016
        
        .. image:: http://img.shields.io/badge/docs-stable-yellow.png
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.btas_j2016/stable/index.html
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           :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.btas_j2016/master/index.html
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           :target: https://gitlab.idiap.ch/bob/bob.paper.btas_j2016/commits/v1.0.2
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           :target: https://gitlab.idiap.ch/bob/bob.paper.btas_j2016
        .. image:: http://img.shields.io/pypi/v/bob.paper.btas_j2016.png
           :target: https://pypi.python.org/pypi/bob.paper.btas_j2016
        
        
        =====================================================
         Reproducing results of paper published in BTAS 2016
        =====================================================
        
        This package is part of the Bob_ toolkit and it allows to reproduce the following paper::
        
            @inproceedings{KorshunovBtas2016j,
                author = {P. Korshunov AND S. Marcel},
                title = {Joint Operation of Voice Biometrics and Presentation Attack Detection},
                year = {2016},
                month = sep,
                booktitle = {IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)},
                address = {Niagara Falls, NY, USA},
            }
        
        If you use this package and/or its results, please cite the paper.
        
        
        Installation
        ------------
        
        The installation instructions are based on conda_ and works on **Linux** and **Mac OS** systems
        only `Install conda`_ before continuing.
        
        Once you have installed conda_, download the source code of this paper and
        unpack it.  Then, you can create a conda environment with the following
        command::
        
            $ cd bob.paper.btas_j2016
            $ conda env create -f environment.yml
            $ source activate bob.paper.btas_j2016  # activate the environment
            $ python -c "import bob.bio.base"  # test the installation
            $ buildout
        
        This will install all the required software to reproduce this paper.
        
        
        Documentation
        -------------
        For further documentation on this package, please read the `Documentation <https://www.idiap.ch/software/bob/docs/bob/bob.paper.btas_j2016/stable/index.html>`_.
        For a list of tutorials on this or the other packages of Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.
        
        .. _bob: http://www.idiap.ch/software/bob
        .. _conda: https://conda.io
        .. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install
        .. _bob.bio: https://pypi.python.org/pypi/bob.bio.base
Keywords: Bob package,BTAS 2016 paper,ASV and PAD systems
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Database :: Front-Ends
