Scripts to run anti-spoofing experiments¶
This package is part of the signal-processing and machine learning toolbox
Bob. This package is the base of
bob.pad family of packages, which allow to run comparable and reproducible
presentation attack detection (PAD) experiments on publicly available databases.
This package contains basic functionality to run PAD experiments.
It provides a generic
./bin/spoof.py script that takes several parameters, including:
- A database and its evaluation protocol
- A data preprocessing algorithm
- A feature extraction algorithm
- A PAD algorithm
All these steps of the PAD system are given as configuration files.
In this base class implementation, only a core functionality is implemented. The specialized algorithms should
be provided by other packages, which are usually in the
bob.pad namespace, like a
Complete Bob’s installation instructions. Then, to install this package, run:
$ conda install bob.pad.base