Skip to main content

A framework for executing the chain of presentation attack detection (PAD) experiments

Project description

badge doc badge pipeline badge coverage badge gitlab

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 the 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 API for PAD 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. All the algorithms are standardized on top of scikit-learn estimators.

In this base package, only a core functionality is implemented. The specialized algorithms should be provided by other packages, which are usually in the bob.pad namespace, like bob.pad.face.


Complete Bob's installation instructions. Then, to install this package, run:

conda install bob.pad.base


For questions or reporting issues to this software package, contact our development mailing list.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bob.pad.base-6.0.0.tar.gz (505.2 kB view hashes)

Uploaded Source

Built Distribution

bob.pad.base-6.0.0-py2.py3-none-any.whl (36.5 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page