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.. vim: set fileencoding=utf-8 :
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.. Tue Nov  7 16:30:33 CET 2017
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.. image:: https://img.shields.io/badge/docs-stable-yellow.svg
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   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.oulunpu/stable/index.html
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   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.oulunpu/master/index.html
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.. image:: https://gitlab.idiap.ch/bob/bob.db.oulunpu/badges/master/build.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.oulunpu/commits/master
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   :target: https://gitlab.idiap.ch/bob/bob.db.oulunpu
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.. image:: https://img.shields.io/pypi/v/bob.db.oulunpu.svg
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   :target: https://pypi.python.org/pypi/bob.db.oulunpu


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=================================
 OULU-NPU Database Access in Bob
=================================
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This package is part of the signal-processing and machine learning toolbox
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Bob_. This package provides an interface to the `OULU-NPU`_ database.
The original data files need to be downloaded separately.
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If you use this database, please cite the following publication::
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    @INPROCEEDINGS{OULU_NPU_2017,
             author = {Boulkenafet, Z. and Komulainen, J. and Li, Lei. and Feng, X. and Hadid, A.},
           keywords = {biometrics, face recognition, anti-spoofing, presentation attack, generalization, colour texture},
              month = May,
              title = {{OULU-NPU}: A mobile face presentation attack database with real-world variations},
            journal = {IEEE International Conference on Automatic Face and Gesture Recognition},
               year = {2017},
    }
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Installation
------------
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Complete Bob's `installation`_ instructions. Then, to install this package,
run::
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  $ conda install bob.db.oulunpu
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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
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.. _oulu-npu: https://sites.google.com/site/oulunpudatabase/