semvec/pypi-packages huggingface dataset:
bob.db.arface 2.1.10
AR Face  Database Access API for Bob
License: BSD
Keywords: face recognition,bob,bob.db,AR face

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

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


==================================
AR Face 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 `AR face`_ database.
This package does not contain the original `AR face`_ 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.arface


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
.. _ar face: http://www2.ece.ohio-state.edu/~aleix/ARdatabase.html
bob.ip.dlib 1.0.9
Bob interface for dlib functions
License: BSD
Keywords: bob,biometric recognition,evaluation

.. vim: set fileencoding=utf-8 :
.. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
.. Fri 17 Jul 02:49:53 2016 CEST

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.dlib/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.ip.dlib/badges/v1.0.9/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.dlib/commits/v1.0.9
.. image:: https://gitlab.idiap.ch/bob/bob.ip.dlib/badges/v1.0.9/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.dlib/commits/v1.0.9
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.dlib


==================================
 Bob interface for dlib functions
==================================

This package wraps some functionalities from dlib.


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

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

  $ conda install bob.ip.dlib


Documentation
-------------
For further documentation on this package, please read the `Latest Version <https://www.idiap.ch/software/bob/docs/bioidiap/bob.ip.dlib/master/index.html>`_ of the documentation.



.. _bob: https://www.idiap.ch/software/bob
bob.ip.facelandmarks 1.0.10
Bob wrapper for Menpo's face keypoint detector
License: BSD
Keywords: bob,keypoint detection,face

.. vim: set fileencoding=utf-8 :
.. Sat  3 Dec 20:18:15 2016 CET

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.facelandmarks/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.ip.facelandmarks/badges/v1.0.10/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.facelandmarks/commits/v1.0.10
.. image:: https://gitlab.idiap.ch/bob/bob.ip.facelandmarks/badges/v1.0.10/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.facelandmarks/commits/v1.0.10
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.facelandmarks


================================================
 Bob wrapper for Menpo's face keypoint detector
================================================

This package is part of the signal-processing and machine learning toolbox
Bob_. This package is basically a wrapper for using menpo (facial keypoints
detection library) via Bob.


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

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

  $ conda install bob.ip.facelandmarks


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.ip.skincolorfilter 0.0.9
Skin color filter in the rg colorspace
License: BSD
Keywords: bob

.. vim: set fileencoding=utf-8 :
.. Mon 05 Sep 2016 11:50:02 CEST

.. image:: https://img.shields.io/badge/docs-available-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.skincolorfilter/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.ip.skincolorfilter/badges/v0.0.9/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.skincolorfilter/commits/v0.0.9
.. image:: https://gitlab.idiap.ch/bob/bob.ip.skincolorfilter/badges/v0.0.9/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.skincolorfilter/commits/v0.0.9
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.skincolorfilter


=================
Skin Color Filter
=================

This package is part of the signal-processing and machine learning toolbox
Bob_. It implements the skin color filter described in "Adaptive skin segmentation via feature-based face detection", M.J. Taylor and T. Morris, Proc SPIE Photonics Europe, 2014.


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

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

  $ conda install bob.ip.skincolorfilter


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