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Yannick DAYER authored
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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.

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.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
$ bin/train_pixbis.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.