Newer
Older
.. vim: set fileencoding=utf-8 :
.. Mon 03 Jul 2017 11:50:06 CEST
.. image:: http://img.shields.io/badge/docs-stable-yellow.svg
:target: http://beatubulatest.lab.idiap.ch/private/docs/bob/bob.paper.mcae.icb2019/stable/index.html
.. image:: http://img.shields.io/badge/docs-latest-orange.svg
:target: http://beatubulatest.lab.idiap.ch/private/docs/bob/bob.paper.mcae.icb2019/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.paper.mcae.icb2019/badges/master/build.svg
:target: https://gitlab.idiap.ch/bob/bob.paper.mcae.icb2019/commits/master
.. image:: https://gitlab.idiap.ch/bob/bob.paper.mcae.icb2019/badges/master/coverage.svg
:target: https://gitlab.idiap.ch/bob/bob.paper.mcae.icb2019/commits/master
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
:target: https://gitlab.idiap.ch/bob/bob.paper.mcae.icb2019
.. image:: http://img.shields.io/pypi/v/bob.paper.mcae.icb2019.svg
:target: https://pypi.python.org/pypi/bob.paper.mcae.icb2019
============================================
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.
Olegs NIKISINS
committed
Olegs NIKISINS
committed
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
Olegs NIKISINS
committed
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/
Olegs NIKISINS
committed
.. _conda: https://conda.io
.. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install