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================================================
Deep Pixel-wise Binary Supervision for Face PAD
================================================
This package is part of the signal-processing and machine learning toolbox Bob_.
This package contains source code to replicate the experimental results published in the following paper::
@inproceedings{GeorgeICB2019,
author = {Anjith George, Sebastien Marcel},
title = {Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection},
year = {2019},
booktitle = {ICB 2019},
}
If you use this package and/or its results, please consider citing the paper.
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.deep_pix_bis_pad.icb2019
$ conda env create -f environment.yml
$ source activate bob.paper.deep_pix_bis_pad.icb2019 # activate the environment
$ buildout
$ bin/bob_dbmanage.py all download --missing
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