semvec/pypi-packages huggingface dataset:
bob.db.pola-thermal 1.0.5
Polarimetric Thermal Database
License: BSD

.. vim: set fileencoding=utf-8 :
.. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
.. Thu Apr 16 16:39:01 CEST 2015



.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.pola_thermal/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.pola_thermal/badges/v1.0.5/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.pola_thermal/commits/v1.0.5
.. image:: https://gitlab.idiap.ch/bob/bob.db.pola_thermal/badges/v1.0.5/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.pola_thermal/commits/v1.0.5
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.pola_thermal


=============================
Polarimetric Thermal Database
=============================

This package contains the access API and descriptions for the `Polarimetric Thermal Database`.
The actual raw data for the database should be requested from US Army.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.

The Polarimetrical Thermal Database is for research on VIS-Thermal face recognition.
It includes 60 identities faces captured in both VIS and Thermal.

  Hu, Shuowen, et al. "A Polarimetric Thermal Database for Face Recognition Research." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2016.

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

Follow our `installation`_ instructions. Then, to install this package, run::
   
   $ conda install bob.db.pola_thermal


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://gitlab.idiap.ch/bob/bob/wikis/Installation
.. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel
bob.db.nivl 1.0.5
Near-Infrared and Visible-Light (NIVL) Dataset
License: BSD

.. vim: set fileencoding=utf-8 :
.. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
.. Thu Apr 16 16:39:01 CEST 2015



.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.nivl/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.nivl/badges/v1.0.5/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.nivl/commits/v1.0.5
.. image:: https://gitlab.idiap.ch/bob/bob.db.nivl/badges/v1.0.5/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.nivl/commits/v1.0.5
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.nivl


=======================================================
Near-Infrared and Visible-Light (NIVL) Dataset
=======================================================

This package contains the access API and descriptions for the `Near-Infrared and Visible-Light (NIVL) Dataset <http://www3.nd.edu/~kwb/face_recognition.htm>`.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.

NIVL is for research on VIS-NIR face recognition.
It includes 574 identities faces captured in both VIS and NIR.

  Bernhard, John, et al. "Near-IR to Visible Light Face Matching: Effectiveness of Pre-Processing Options for Commercial Matchers."

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

Follow our `installation`_ instructions. Then, to install this package, run::

  $ conda install bob.db.nivl


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://gitlab.idiap.ch/bob/bob/wikis/Installation
.. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel
bob.db.cbsr-nir-vis-2 2.0.7
CASIA NIR-VIS 2.0 Face Database protocol
License: BSD

.. vim: set fileencoding=utf-8 :
.. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
.. Thu Sep  4 11:35:05 CEST 2014

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.cbsr_nir_vis_2/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.cbsr_nir_vis_2/badges/v2.0.7/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cbsr_nir_vis_2/commits/v2.0.7
.. image:: https://gitlab.idiap.ch/bob/bob.db.cbsr_nir_vis_2/badges/v2.0.7/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cbsr_nir_vis_2/commits/v2.0.7
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cbsr_nir_vis_2

=================================
 CASIA NIR-VIS 2.0 Face Database
=================================

This package contains the access API and descriptions for the `CASIA NIR-VIS
2.0 database <http://www.cbsr.ia.ac.cn/english/NIR-VIS-2.0-Database.html>`_.
The actual raw data for the database should be downloaded from the original
URL. This package only contains the Bob accessor methods to use the DB
directly from python, with the original protocol of the database.

CASIA NIR-VIS 2.0 database offers pairs of mugshot images and their
correspondent NIR photos. Capured by CASIA (Chinese Academy of Sciences), the
images of this database were collected in four recording sessions: 2007 spring,
2009 summer, 2009 fall and 2010 summer, in which the first session is identical
to the `HFB database <http://www.cbsr.ia.ac.cn/english/HFB%20Databases.asp>`_.
The CASIA NIR-VIS 2.0 database consists of 725 subjects in total. There are
1-22 VIS and 5-50 NIR face images per subject.

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

Follow our `installation`_ instructions. Then, to install this package, run::
   
   $ conda install bob.db.cbsr_nir_vis_2


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://gitlab.idiap.ch/bob/bob/wikis/Installation
.. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel
bob.db.cuhk-cufs 2.2.7
CUHK Face Sketch Database (CUFS)
License: BSD

.. vim: set fileencoding=utf-8 :
.. Wed 17 Aug 16:25:52 CEST 2016

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.cuhk_cufs/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.cuhk_cufs/badges/v2.2.7/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cuhk_cufs/commits/v2.2.7
.. image:: https://gitlab.idiap.ch/bob/bob.db.cuhk_cufs/badges/v2.2.7/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cuhk_cufs/commits/v2.2.7
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.cuhk_cufs

================================
CUHK Face Sketch Database (CUFS)
================================

This package is part of the signal-processing and machine learning toolbox
Bob_.
This package contains the access API and descriptions for the `CUHK Face Sketch Database (CUFS) <http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html>`.
The actual raw data for the database should be downloaded from the original URL.
This package only contains the Bob accessor methods to use the DB directly from python, with the original protocol of the database.

CUHK Face Sketch database (CUFS) is for research on face sketch synthesis and face sketch recognition.
It includes 188 faces from the Chinese University of Hong Kong (CUHK) student database, 123 faces from the AR database, and 295 faces from the XM2VTS database.
There are 606 faces in total.
For each face, there is a sketch drawn by an artist based on a photo taken in a frontal pose, under normal lighting condition, and with a neutral expression.


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

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

  $ conda install bob.db.cuhk_cufs


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.swan 0.0.4
SWAN Database Access API for Bob
License: BSD
Keywords: bob

.. vim: set fileencoding=utf-8 :
.. Fri May  5 11:35:14 CEST 2017

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.swan/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.db.swan/badges/v0.0.4/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.swan/commits/v0.0.4
.. image:: https://gitlab.idiap.ch/bob/bob.db.swan/badges/v0.0.4/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.swan/commits/v0.0.4
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.db.swan


==================================
 SWAN 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 protocol of the `SWAN`_
database. This package does not contain the original `SWAN`_ 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.swan


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
.. _swan: http://www.idiap.ch/dataset/swan