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        "author": "Andre Anjos",
        "author_email": "andre.anjos@idiap.ch",
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        "description": "===============================\n Video Data-Acquisition Module\n===============================\n\nThis package contains an example data acquisition (DAQ) system based on the\nopen-source library Bob. If you use this code on your project or publication,\nwe appreciate you cited us::\n    \n  @inproceedings{Anjos_ACMMM_2012,\n    author = {A. Anjos AND L. El Shafey AND R. Wallace AND M. G\\\"unther AND C. McCool AND S. Marcel},\n    title = {Bob: a free signal processing and machine learning toolbox for researchers},\n    year = {2012},\n    month = oct,\n    booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan},\n    publisher = {ACM Press},\n    url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},\n  }\n\nInstallation\n------------\n\n.. note:: \n\n  If you are reading this page through our GitHub portal and not through PyPI,\n  note **the development tip of the package may not be stable** or become\n  unstable in a matter of moments.\n\n  Go to `http://pypi.python.org/pypi/xbob.daq\n  <http://pypi.python.org/pypi/xbob.daq>`_ to download the latest\n  stable version of this package.\n\nThere are 2 options you can follow to get this package installed and\noperational on your computer: you can use automatic installers like `pip\n<http://pypi.python.org/pypi/pip/>`_ (or `easy_install\n<http://pypi.python.org/pypi/setuptools>`_) or manually download, unpack and\nuse `zc.buildout <http://pypi.python.org/pypi/zc.buildout>`_ to create a\nvirtual work environment just for this package.\n\nUsing an automatic installer\n============================\n\nUsing ``pip`` is the easiest (shell commands are marked with a ``$`` signal)::\n\n  $ pip install xbob.daq\n\nYou can also do the same with ``easy_install``::\n\n  $ easy_install xbob.daq\n\nThis will download and install this package plus any other required\ndependencies. It will also verify if the version of Bob you have installed\nis compatible.\n\nThis scheme works well with virtual environments by `virtualenv\n<http://pypi.python.org/pypi/virtualenv>`_ or if you have root access to your\nmachine. Otherwise, we recommend you use the next option.\n\nUsing ``zc.buildout``\n=====================\n\nDownload the latest version of this package from `PyPI\n<http://pypi.python.org/pypi/xbob.daq>`_ and unpack it in your\nworking area. The installation of the toolkit itself uses `buildout\n<http://www.buildout.org/>`_. You don't need to understand its inner workings\nto use this package. Here is a recipe to get you started::\n  \n  $ python bootstrap.py \n  $ ./bin/buildout\n\nThese 2 commands should download and install all non-installed dependencies and\nget you a fully operational test and development environment.\n\n.. note::\n\n  The python shell used in the first line of the previous command set\n  determines the python interpreter that will be used for all scripts developed\n  inside this package. Because this package makes use of `Bob\n  <http://idiap.github.com/bob>`_, you must make sure that the ``bootstrap.py``\n  script is called with the **same** interpreter used to build Bob, or\n  unexpected problems might occur.\n\n  If Bob is installed by the administrator of your system, it is safe to\n  consider it uses the default python interpreter. In this case, the above 3\n  command lines should work as expected. If you have Bob installed somewhere\n  else on a private directory, edit the file ``buildout.cfg`` **before**\n  running ``./bin/buildout``. Find the section named ``buildout`` and edit or\n  add the line ``prefixes`` to point to the directory where Bob is installed or\n  built. For example::\n\n    [buildout]\n    ...\n    prefixes=/Users/crazyfox/work/bob/build\n\nSphinx Manual Generation\n------------------------\n\nAfter installation, use this command to build the API documentation::\n\n  $ ./bin/sphinx-build -b html doc html\n\nAfter this, you should find HTML documentation in the directory ``html``.",
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