Initial framework for scikits.image.

This commit is contained in:
Stefan van der Walt
2009-08-22 12:47:50 -07:00
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*.pyc
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*#
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Copyright (C) 2008 Stéfan van der Walt <stefan@mentat.za.net>
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the
distribution.
THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
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Image Processing SciKit
=======================
Source
------
http://github.com/stefanv/scikits.gpu
Installation from source
------------------------
This SciKit can be installed globally using
python setup.py install
or locally using
python setup.py install --prefix=${HOME}
If you prefer, you can use it without installing, by simply adding
this path to your PYTHONPATH variable.
License
-------
Please read LICENSE.txt in this directory.
Contact
-------
Stefan van der Walt <stefan at sun.ac.za>
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__import__('pkg_resources').declare_namespace(__name__)
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#! /usr/bin/env python
descr = """Image Processing SciKit
Provide image processing capabilities to SciPy, including:
- Image IO without PIL dependencies
- Image warping (wrappers based on ndimage)
- Connected components
- Color-space manipulations
- Linear space-invariant filters
- Hough transform
- Shortest paths
- Grey-level co-occurrence matrices
- Edge detection
- Image collections
"""
import os
import sys
DISTNAME = 'scikits.image'
DESCRIPTION = 'Image processing routines for SciPy'
LONG_DESCRIPTION = descr
MAINTAINER = 'Stefan van der Walt',
MAINTAINER_EMAIL = 'stefan@sun.ac.za',
URL = 'http://github.com/stefanv/scikits.image'
LICENSE = 'Modified BSD'
DOWNLOAD_URL = URL
VERSION = '0.1'
import setuptools
from numpy.distutils.core import setup
def configuration(parent_package='', top_path=None, package_name=DISTNAME):
if os.path.exists('MANIFEST'): os.remove('MANIFEST')
from numpy.distutils.misc_util import Configuration
config = Configuration(package_name, parent_package, top_path,
version = VERSION,
maintainer = MAINTAINER,
maintainer_email = MAINTAINER_EMAIL,
description = DESCRIPTION,
license = LICENSE,
url = URL,
download_url = DOWNLOAD_URL,
long_description = LONG_DESCRIPTION)
return config
if __name__ == "__main__":
setup(configuration = configuration,
install_requires = 'numpy',
namespace_packages = ['scikits'],
packages = setuptools.find_packages(),
include_package_data = True,
#test_suite="tester", # for python setup.py test
zip_safe = True, # the package can run out of an .egg file
classifiers =
[ 'Development Status :: 1 - Planning',
'Environment :: Console',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Topic :: Scientific/Engineering'])