{ "info": { "author": "Andre Anjos, Ivana Chingovska", "author_email": "andre.anjos@idiap.ch, ivana.chingovska@idiap.ch", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Natural Language :: English", "Programming Language :: Python", "Programming Language :: Python :: 3", "Topic :: Database :: Front-Ends", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "===================================\n CASIA Face Anti-Spoofing Database\n===================================\n\nThe CASIA-FASD database is a spoofing attack database which consists of three\ntypes of attacks: warped printed photographs, printed photographs with cut eyes\nand video attacks. The samples are taken with three types of cameras: low\nquality, normal quality and high quality.\n\nThe actual raw data for the database should be downloaded from the original\nURL. This package only contains the `Bob `_\naccessor methods to use the DB directly from python, with our certified\nprotocols.\n\nReferences::\n\n 1. Z. Zhang, J. Yan, S. Lei, D. Yi, S. Z. Li: \"A Face Antispoofing Database\n with Diverse Attacks\", In proceedings of the 5th IAPR International\n Conference on Biometrics (ICB'12), New Delhi, India, 2012.\n\nYou would normally not install this package unless you are maintaining it. What\nyou would do instead is to tie it in at the package you need to **use** it.\nThere are a few ways to achieve this:\n\n1. You can add this package as a requirement at the ``setup.py`` for your own\n `satellite package\n `_\n or to your Buildout ``.cfg`` file, if you prefer it that way. With this\n method, this package gets automatically downloaded and installed on your\n working environment, or\n\n2. You can manually download and install this package using commands like\n ``easy_install`` or ``pip``.\n\nThe package is available in two different distribution formats:\n\n1. You can download it from `PyPI `_, or\n\n2. You can download it in its source form from `its git repository\n `_. When you download the\n version at the git repository, you will need to run a command to recreate\n the backend SQLite file required for its operation. This means that the\n database raw files must be installed somewhere in this case. With option\n ``a`` you can run in `dummy` mode and only download the raw data files for\n the database once you are happy with your setup.\n\nYou can mix and match points 1/2 and a/b above based on your requirements. Here\nare some examples:\n\nModify your setup.py and download from PyPI\n===========================================\n\nThat is the easiest. Edit your ``setup.py`` in your satellite package and add\nthe following entry in the ``install_requires`` section (note: ``...`` means\n`whatever extra stuff you may have in-between`, don't put that on your\nscript)::\n\n install_requires=[\n ...\n \"xbob.db.casia_fasd\",\n ],\n\nProceed normally with your ``boostrap/buildout`` steps and you should be all\nset. That means you can now import the namespace ``xbob.db.casia_fasd`` into your\nscripts.\n\nModify your buildout.cfg and download from git\n==============================================\n\nYou will need to add a dependence to `mr.developer\n`_ to be able to install from our\ngit repositories. 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