semvec/pypi-packages huggingface dataset:
bob.db.gbu 2.1.10
Database Access API of the Good, the Bad and the Ugly (GBU) image database for Bob
License: BSD

.. vim: set fileencoding=utf-8 :
.. Thu 18 Aug 13:15:35 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.gbu/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.gbu/badges/v2.1.10/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.gbu/commits/v2.1.10
.. image:: https://gitlab.idiap.ch/bob/bob.db.gbu/badges/v2.1.10/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.gbu/commits/v2.1.10
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.gbu


===========================================================
 The Good, The Bad, and The Ugly Database Interface for Bob
===========================================================

This package is part of the signal-processing and machine learning toolbox
Bob_.
This package contains an interface for the evaluation protocol of the `The Good, The Bad, and The Ugly Database <http://www.nist.gov/itl/iad/ig/focs.cfm>`_ database.
Note that the default protocols *Good*, *Bad*, and *Ugly* as defined in the URL above will be respected.
This package does not contain the original GBU data files, which need to be obtained through the link above.


Installation
------------

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

  $ conda install bob.db.gbu


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.db.frgc 2.1.9
Database Access API of the Face Recognition Grand Challenge (FRGC) ver2.0 image database for Bob
License: BSD

.. vim: set fileencoding=utf-8 :
.. Thu 18 Aug 14:10:40 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.frgc/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.frgc/badges/v2.1.9/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.frgc/commits/v2.1.9
.. image:: https://gitlab.idiap.ch/bob/bob.db.frgc/badges/v2.1.9/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.frgc/commits/v2.1.9
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.frgc
.. image:: https://img.shields.io/badge/original-data--files-a000a0.png
   :target: http://face.nist.gov/frgc/


==========================================================================
 Face Recognition Grand Challenge (FRGC) ver2.0 Database Interface for Bob
==========================================================================

This package is part of the signal-processing and machine learning toolbox
Bob_ and it contains an interface for the evaluation protocol of `The Face Recognition Grand Challenge (FRGC) Database <http://face.nist.gov/frgc/>`_ in the version ver2.0.
It worth noting that this package does not contain the original FRGC data files, which need to be obtained through the link above.


Installation
------------

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

  $ conda install bob.db.frgc


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.db.cohface 1.1.6
COHFACE Database Access API for Bob
License: BSD
Keywords: bob,database,cohface

.. vim: set fileencoding=utf-8 :
.. Wed  7 Dec 16:34:35 CET 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.cohface/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.cohface/badges/v1.1.6/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cohface/commits/v1.1.6
.. image:: https://gitlab.idiap.ch/bob/bob.db.cohface/badges/v1.1.6/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cohface/commits/v1.1.6
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cohface


=====================================
 COHFACE Database Access API for Bob
=====================================

This package is part of the signal-processing and machine learning toolbox
Bob_. It contains an interface for the evaluation protocols of the `COHFACE
Database`_. Notice this package does not contain the raw data files from this
dataset, which need to be obtained through the link above.


Installation
------------

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

  $ conda install bob.db.cohface


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
.. _cohface database: https://www.idiap.ch/dataset/cohface
bob.db.caspeal 2.1.11
CAS-PEAL Database Access API for Bob
License: BSD

.. vim: set fileencoding=utf-8 :
.. Thu 18 Aug 14:47:00 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.caspeal/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.caspeal/badges/v2.1.11/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.caspeal/commits/v2.1.11
.. image:: https://gitlab.idiap.ch/bob/bob.db.caspeal/badges/v2.1.11/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.caspeal/commits/v2.1.11
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.caspeal


====================================
 CAS-PEAL Database Interface for Bob
====================================

This package is part of the signal-processing and machine learning toolbox
Bob_ and it contains an interface for the evaluation protocols of the `CAS-PEAL`_ R1 database.
It worth noting that this package does not contain the original `CAS-PEAL`_ data files, which need to be obtained through the link above.



Installation
------------

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

  $ conda install bob.db.caspeal


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
.. _cas-peal: http://www.jdl.ac.cn/peal
bob.db.casia-fasd 2.0.10
CASIA Face Anti-Spoofing Database Access API for Bob
License: BSD

.. vim: set fileencoding=utf-8 :
.. Wed Jan 16 10:07:12 CET 2019

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.casia_fasd/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.casia_fasd/badges/v2.0.10/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.casia_fasd/commits/v2.0.10
.. image:: https://gitlab.idiap.ch/bob/bob.db.casia_fasd/badges/v2.0.10/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.casia_fasd/commits/v2.0.10
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.casia_fasd


=====================================================
 CASIA Face Anti-Spoofing Database Interface for Bob
=====================================================

This package is part of the signal-processing and machine learning toolbox
Bob_. This package contains the Bob_ accessor methods to use the CASIA-FASD
directly from python, with our certified protocols. The actual raw data for
`CASIA FASD`_ database should be downloaded from the original URL. The
CASIA-FASD database is a spoofing attack database which consists of three types
of attacks: warped printed photographs, printed photographs with cut eyes and
video attacks. The samples are taken with three types of cameras: low quality,
normal quality and high quality.


Reference::

  Z. Zhang, J. Yan, S. Lei, D. Yi, S. Z. Li: "A Face Antispoofing Database with Diverse Attacks", In proceedings of the 5th IAPR International Conference on Biometrics (ICB'12), New Delhi, India, 2012.


Installation
------------

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

  $ conda install bob.db.casia_fasd


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
.. _casia fasd: http://www.cbsr.ia.ac.cn/english/FaceAntiSpoofDatabases.asp
bob.db.biosecurid.face 2.1.14
BiosecurID (face) Database Access API for Bob
License: BSD
Keywords: face recognition,bob,bob.db,biosecurid

.. vim: set fileencoding=utf-8 :
.. Thu Aug 18 20:54:15 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.biosecurid.face/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.biosecurid.face/badges/v2.1.14/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.biosecurid.face/commits/v2.1.14
.. image:: https://gitlab.idiap.ch/bob/bob.db.biosecurid.face/badges/v2.1.14/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.biosecurid.face/commits/v2.1.14
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.biosecurid.face


====================
 BiosecurID Database
====================

This package is part of the signal-processing and machine learning toolbox
Bob_. It contains the access API and descriptions for the face modality of the
`BiosecurID Database`_.


Installation
------------

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

  $ conda install bob.db.biosecurid.face


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
.. _biosecurid database: http://atvs.ii.uam.es/databases.jsp
bob.db.biosecure 2.1.11
Biosecure Database Access API for Bob
License: BSD
Keywords: face recognition,bob,bob.db,Biosecure

.. vim: set fileencoding=utf-8 :
.. Thu Aug 18 20:09:07 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.biosecure/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.biosecure/badges/v2.1.11/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.biosecure/commits/v2.1.11
.. image:: https://gitlab.idiap.ch/bob/bob.db.biosecure/badges/v2.1.11/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.biosecure/commits/v2.1.11
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.biosecure


=====================================
 BioSecure Database Interface for Bob
=====================================

This package is part of the signal-processing and machine learning toolbox
Bob_ and it contains an interface for the evaluation protocol of the BioSecure database, particularly for the images from the BioSecure database.
It is worth noting that this package does not contain the original BioSecure data files, which need to be obtained through the link above.



Installation
------------

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

  $ conda install bob.db.biosecure


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.db.banca 2.1.11
BANCA Database Access API for Bob
License: BSD
Keywords: face recognition,bob,bob.db,BANCA

.. vim: set fileencoding=utf-8 :
.. Wed 17 Aug 08:26:55 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.banca/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.banca/badges/v2.1.11/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.banca/commits/v2.1.11
.. image:: https://gitlab.idiap.ch/bob/bob.db.banca/badges/v2.1.11/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.banca/commits/v2.1.11
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.banca

================================
BANCA Database Interface for Bob
================================

This package is part of the signal-processing and machine learning toolbox
Bob_.
This package contains an interface for the evaluation protocol of the BANCA database, particularly for the English protocol of BANCA. This package does not contain the original BANCA data files, which need to be obtained through the link above.


Installation
------------

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

  $ conda install bob.db.banca


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