semvec/pypi-packages huggingface dataset:
bob.bio.caffe-face 1.1.3
Face Feature extraction using caffe pre-trained models
License: BSD
Keywords: bob,biometric recognition,evaluation

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.. Mon Jul 24 13:52:22 CEST 2017

.. image:: https://img.shields.io/badge/docs-v1.1.3-yellow.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.bio.caffe_face/v1.1.3/index.html
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   :target: https://gitlab.idiap.ch/bob/bob.bio.caffe_face/commits/v1.1.3
.. image:: https://gitlab.idiap.ch/bob/bob.bio.caffe_face/badges/v1.1.3/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.bio.caffe_face/commits/v1.1.3
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   :target: https://pypi.python.org/pypi/bob.bio.caffe_face


========================================================
 Face Feature extraction using caffe pre-trained models
========================================================

This package is part of the signal-processing and machine learning toolbox
Bob_. This package is part of the ``bob.bio`` packages, which allow to run
comparable and reproducible biometric recognition experiments on publicly
available databases.

This package contains functionality to run face recognition experiments. It is
an extension to the `bob.bio.base <http://pypi.python.org/pypi/bob.bio.base>`_
package, which provides the basic scripts. With this package it is possible to
run feature extraction using pre-trained models of `Caffe`.


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

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

  $ conda install bob.bio.caffe_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
bob.ip.caffe-extractor 2.0.3
Feature extractor using caffe CNNs
License: BSD
Keywords: bob,biometric recognition,evaluation

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.. Thu Jul 20 12:30:48 CEST 2017

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   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.caffe_extractor/v2.0.3/index.html
.. image:: https://img.shields.io/badge/docs-latest-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.ip.caffe_extractor/master/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.ip.caffe_extractor/badges/v2.0.3/build.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.caffe_extractor/commits/v2.0.3
.. image:: https://gitlab.idiap.ch/bob/bob.ip.caffe_extractor/badges/v2.0.3/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.caffe_extractor/commits/v2.0.3
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.ip.caffe_extractor
.. image:: https://img.shields.io/pypi/v/bob.ip.caffe_extractor.svg
   :target: https://pypi.python.org/pypi/bob.ip.caffe_extractor


==================================================
 Bob interface for feature extraction using Caffe
==================================================

This package is part of the signal-processing and machine learning toolbox
Bob_. This package contains functionality to extract features from CNNs trained
with caffe http://caffe.berkeleyvision.org/


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

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

  $ conda install bob.ip.caffe_extractor


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