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setup.py
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setup.py
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from __future__ import absolute_import
from setuptools import setup, find_packages
from os import path
_dir = path.abspath(path.dirname(__file__))
with open(path.join(_dir,'n2v','version.py')) as f:
exec(f.read())
with open(path.join(_dir,'README.md')) as f:
long_description = f.read()
setup(name='n2v',
version=__version__,
description='Noise2Void allows the training of a denoising CNN from individual noisy images. This implementation'
'extends CSBDeep.',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/juglab/n2v/',
author='Tim-Oliver Buchholz, Alexander Krull',
author_email='[email protected], [email protected]',
license='BSD 3-Clause License',
packages=find_packages(),
project_urls={
'Repository': 'https://github.com/juglab/n2v/',
},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
scripts=['scripts/trainN2V.py',
'scripts/predictN2V.py'
],
install_requires=[
"numpy",
"scipy",
"matplotlib",
"six",
"keras>=2.2.4,<2.3.0",
"tifffile",
"tqdm",
"pathlib2;python_version<'3'",
"backports.tempfile;python_version<'3.4'",
"csbdeep>=0.4.0,<0.5.0",
"Pillow"
]
)