setup.py

#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Andre Anjos <andre.anjos@idiap.ch>
# Mon 16 Apr 08:18:08 2012 CEST
#
# Copyright (C) Idiap Research Institute, Martigny, Switzerland
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of the License.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.

# This file contains the python (distutils/setuptools) instructions so your
# package can be installed on **any** host system. It defines some basic
# information like the package name for instance, or its homepage.
#
# It also defines which other packages this python package depends on and that
# are required for this package's operation. The python subsystem will make
# sure all dependent packages are installed or will install them for you upon
# the installation of this package.
#
# The 'buildout' system we use here will go further and wrap this package in
# such a way to create an isolated python working environment. Buildout will
# make sure that dependencies which are not yet installed do get installed, but
# **without** requiring administrative privileges on the host system. This
# allows you to test your package with new python dependencies w/o requiring
# administrative interventions.

from setuptools import setup, dist

dist.Distribution(dict(setup_requires=['bob.extension']))

from bob.extension.utils import load_requirements, find_packages

install_requires = load_requirements()

# The only thing we do in this file is to call the setup() function with all
# parameters that define our package.
setup(

    # This is the basic information about your project. Modify all this
    # information before releasing code publicly.
    name='bob.bio.face',
    version=open("version.txt").read().rstrip(),
    description='Tools for running face recognition experiments',

    url='https://gitlab.idiap.ch/bob/bob.bio.face',
    license='BSD',
    author='Manuel Gunther',
    author_email='siebenkopf@googlemail.com',
    keywords='bob, biometric recognition, evaluation',

    # If you have a better, long description of your package, place it on the
    # 'doc' directory and then hook it here
    long_description=open('README.rst').read(),

    # This line is required for any distutils based packaging.
    packages=find_packages(),
    include_package_data=True,
    zip_safe=False,

    # This line defines which packages should be installed when you "install"
    # this package. All packages that are mentioned here, but are not installed
    # on the current system will be installed locally and only visible to the
    # scripts of this package. Don't worry - You won't need administrative
    # privileges when using buildout.
    install_requires=install_requires,

    # Your project should be called something like 'bob.<foo>' or
    # 'bob.<foo>.<bar>'. To implement this correctly and still get all your
    # packages to be imported w/o problems, you need to implement namespaces
    # on the various levels of the package and declare them here. See more
    # about this here:
    # http://peak.telecommunity.com/DevCenter/setuptools#namespace-packages
    #
    # Our database packages are good examples of namespace implementations
    # using several layers. You can check them out here:
    # https://www.idiap.ch/software/bob/packages


    # This entry defines which scripts you will have inside the 'bin' directory
    # once you install the package (or run 'bin/buildout'). The order of each
    # entry under 'console_scripts' is like this:
    #   script-name-at-bin-directory = module.at.your.library:function
    #
    # The module.at.your.library is the python file within your library, using
    # the python syntax for directories (i.e., a '.' instead of '/' or '\').
    # This syntax also omits the '.py' extension of the filename. So, a file
    # installed under 'example/foo.py' that contains a function which
    # implements the 'main()' function of particular script you want to have
    # should be referred as 'example.foo:main'.
    #
    # In this simple example we will create a single program that will print
    # the version of bob.
    entry_points={

        # scripts should be declared using this entry:
        'console_scripts': [
            'baselines.py      = bob.bio.face.script.baselines:main',
            'display_face_annotations.py = bob.bio.face.script.display_face_annotations:main',
            'bob_ijba_collect_results.py = bob.bio.face.script.ijba_collect_results:main',
        ],

        'bob.bio.database': [
            'arface            = bob.bio.face.config.database.arface:database',
            'atnt              = bob.bio.face.config.database.atnt:database',
            'banca             = bob.bio.face.config.database.banca_english:database',
            'caspeal           = bob.bio.face.config.database.caspeal:database',
            'frgc              = bob.bio.face.config.database.frgc:database',
            'gbu               = bob.bio.face.config.database.gbu:database',
            'ijba              = bob.bio.face.config.database.ijba:database',
            'lfw-restricted    = bob.bio.face.config.database.lfw_restricted:database',
            'lfw-unrestricted  = bob.bio.face.config.database.lfw_unrestricted:database',
            'mobio-image       = bob.bio.face.config.database.mobio:mobio_image',
            'mobio-male        = bob.bio.face.config.database.mobio:mobio_male',  # MOBIO gender-dependent training
            'mobio-female      = bob.bio.face.config.database.mobio:mobio_female',  # MOBIO gender-dependent training
            'msu-mfsd-mod-licit = bob.bio.face.config.database.msu_mfsd_mod:msu_mfsd_mod_licit',
            'msu-mfsd-mod-spoof = bob.bio.face.config.database.msu_mfsd_mod:msu_mfsd_mod_spoof',
            'multipie          = bob.bio.face.config.database.multipie:database',
            'multipie-pose     = bob.bio.face.config.database.multipie_pose:database',
            'scface            = bob.bio.face.config.database.scface:database',
            'xm2vts            = bob.bio.face.config.database.xm2vts:database',
            'replay-img-licit  = bob.bio.face.config.database.replay:replay_licit',
            'replay-img-spoof  = bob.bio.face.config.database.replay:replay_spoof',
            'replaymobile-img-licit  = bob.bio.face.config.database.replaymobile:replaymobile_licit',
            'replaymobile-img-spoof  = bob.bio.face.config.database.replaymobile:replaymobile_spoof',
        ],

        'bob.bio.preprocessor': [
            'base              = bob.bio.face.config.preprocessor.base:preprocessor',  # simple color conversion
            'face-crop-eyes    = bob.bio.face.config.preprocessor.face_crop_eyes:preprocessor',  # face crop
            'landmark-detect   = bob.bio.face.config.preprocessor.face_detect:preprocessor',
            # face detection + landmark detection + cropping
            'face-detect       = bob.bio.face.config.preprocessor.face_detect:preprocessor_no_eyes',
            # face detection + cropping

            'inorm-lbp-crop    = bob.bio.face.config.preprocessor.inorm_lbp:preprocessor',  # face crop + inorm-lbp
            'tan-triggs-crop   = bob.bio.face.config.preprocessor.tan_triggs:preprocessor',  # face crop + Tan&Triggs
            'histogram-crop    = bob.bio.face.config.preprocessor.histogram_equalization:preprocessor',
            # face crop + histogram equalization
            'self-quotient-crop= bob.bio.face.config.preprocessor.self_quotient_image:preprocessor',
            # face crop + self quotient image

            'inorm-lbp-landmark = bob.bio.face.config.preprocessor.inorm_lbp:preprocessor_landmark',
            # face detection + landmark detection + cropping + inorm-lbp
            'tan-triggs-landmark = bob.bio.face.config.preprocessor.tan_triggs:preprocessor_landmark',
            # face detection + landmark detection + cropping + Tan&Triggs
            'histogram-landmark = bob.bio.face.config.preprocessor.histogram_equalization:preprocessor_landmark',
            # face detection + landmark detection + cropping + histogram equalization
            'self-quotient-landmark = bob.bio.face.config.preprocessor.self_quotient_image:preprocessor_landmark',
            # face detection + landmark detection + cropping + self quotient image

            'inorm-lbp         = bob.bio.face.config.preprocessor.inorm_lbp:preprocessor_no_crop',
            # inorm-lbp w/o face-crop
            'tan-triggs        = bob.bio.face.config.preprocessor.tan_triggs:preprocessor_no_crop',
            # Tan&Triggs w/o face-crop
            'histogram         = bob.bio.face.config.preprocessor.histogram_equalization:preprocessor_no_crop',
            # histogram equalization w/o face-crop
            'self-quotient     = bob.bio.face.config.preprocessor.self_quotient_image:preprocessor_no_crop',
            # self quotient image w/o face-crop
        ],

        'bob.bio.extractor': [
            'dct-blocks        = bob.bio.face.config.extractor.dct_blocks:extractor',  # DCT blocks
            'grid-graph        = bob.bio.face.config.extractor.grid_graph:extractor',  # Grid graph
            'lgbphs            = bob.bio.face.config.extractor.lgbphs:extractor',  # LGBPHS
            'eigenface         = bob.bio.face.config.extractor.eigenface:extractor',  # Eigenface
        ],

        'bob.bio.algorithm': [
            'gabor-jet         = bob.bio.face.config.algorithm.gabor_jet:algorithm',  # Gabor jet comparison
            'histogram         = bob.bio.face.config.algorithm.histogram:algorithm',  # LGBPHS histograms
            'bic-jets          = bob.bio.face.config.algorithm.bic_jets:algorithm',  # BIC on gabor jets
        ],
    },

    # Classifiers are important if you plan to distribute this package through
    # PyPI. You can find the complete list of classifiers that are valid and
    # useful here (http://pypi.python.org/pypi?%3Aaction=list_classifiers).
    classifiers=[
        'Framework :: Bob',
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Developers',
        'License :: OSI Approved :: BSD License',
        'Natural Language :: English',
        'Programming Language :: Python',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
    ],
)