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.. vim: set fileencoding=utf-8 :
.. Mon 03 Jul 2017 11:50:06 CEST

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============================================
Face PAD using multi-channel autoencoders
============================================
This package is part of the Bob_ toolkit and it allows to reproduce the experimental results published in the following paper::
    @inproceedings{NikisinsICB2019,
        author = {Olegs Nikisins, Anjith George, Sebastien Marcel},
        title = {Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing},
        year = {2019},
        booktitle = {ICB 2019},
    }

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 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.mcae.icb2019
    $ conda env create -f environment.yml
    $ source activate bob.paper.mcae.icb2019  # activate the environment
    $ buildout
    $ bin/bob_dbmanage.py all download --missing
    $ bin/train_network.py --help  # test the installation
This will install all the required software to reproduce this paper.


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
.. _bob package development: https://www.idiap.ch/software/bob/docs/bob/bob.extension/master/
.. _conda: https://conda.io
.. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install