Metadata-Version: 2.1
Name: bob.pad.base
Version: 6.0.1
Summary: A framework for executing the chain of presentation attack detection (PAD) experiments
Author: Pavel Korshunov
Author-email: pavel.korshunov@idiap.ch
License: GPLv3 License
Project-URL: documentation, https://www.idiap.ch/software/bob/docs/bob/bob.pad.base/v6.0.1/sphinx/
Project-URL: homepage, https://pypi.org/project/bob.pad.base/
Project-URL: repository, https://gitlab.idiap.ch/bob/bob.pad.base
Project-URL: changelog, https://gitlab.idiap.ch/bob/bob.pad.base/-/releases
Keywords: PAD framework,grid support,pipeline organization
Classifier: Framework :: Bob
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: COPYING
Requires-Dist: bob==12.1.1
Requires-Dist: bob.io.base==5.1.1
Requires-Dist: bob.measure==6.1.1
Requires-Dist: bob.pipelines==4.0.1
Requires-Dist: bob.bio.base==8.1.1
Requires-Dist: clapper~=1.0
Requires-Dist: click~=8.1
Requires-Dist: click-plugins~=1.1
Requires-Dist: dask==2024.5.2
Requires-Dist: matplotlib~=3.8
Requires-Dist: numpy~=1.26
Requires-Dist: scikit-learn~=1.4
Requires-Dist: scipy~=1.10
Requires-Dist: sqlalchemy~=2.0
Requires-Dist: tabulate~=0.9
Provides-Extra: qa
Requires-Dist: pre-commit; extra == "qa"
Provides-Extra: doc
Requires-Dist: sphinx; extra == "doc"
Requires-Dist: sphinx_rtd_theme; extra == "doc"
Requires-Dist: sphinx-autodoc-typehints; extra == "doc"
Requires-Dist: auto-intersphinx; extra == "doc"
Requires-Dist: sphinxcontrib-programoutput; extra == "doc"
Requires-Dist: matplotlib; extra == "doc"
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: coverage; extra == "test"

[![badge doc](https://img.shields.io/badge/docs-v6.0.1-orange.svg)](https://www.idiap.ch/software/bob/docs/bob/bob.pad.base/v6.0.1/sphinx/index.html)
[![badge pipeline](https://gitlab.idiap.ch/bob/bob.pad.base/badges/v6.0.1/pipeline.svg)](https://gitlab.idiap.ch/bob/bob.pad.base/commits/v6.0.1)
[![badge coverage](https://gitlab.idiap.ch/bob/bob.pad.base/badges/v6.0.1/coverage.svg)](https://www.idiap.ch/software/bob/docs/bob/bob.pad.base/v6.0.1/coverage/)
[![badge gitlab](https://img.shields.io/badge/gitlab-project-0000c0.svg)](https://gitlab.idiap.ch/bob/bob.pad.base)

# Scripts to run anti-spoofing experiments

This package is part of the signal-processing and machine learning toolbox
[Bob](https://www.idiap.ch/software/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`](https://gitlab.idiap.ch/bob/bob.pad.face).

## Installation

Complete Bob's
[installation instructions](https://www.idiap.ch/software/bob/install). Then,
to install this package, run:
``` sh
conda install bob.pad.base
```

## Contact

For questions or reporting issues to this software package, contact our
development [mailing list](https://www.idiap.ch/software/bob/discuss).
