-
Notifications
You must be signed in to change notification settings - Fork 33
/
Copy pathsetup.py
93 lines (79 loc) · 2.9 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
# Copyright 2023 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Setup for pip package."""
import pathlib
import setuptools
from setuptools import dist
from setuptools.command import install
__version__ = '0.0.4'
REQUIRED_PACKAGES = [
'tensorflow >= 2.16.1',
'six >= 1.10.0',
'numpy >= 1.20.0',
'absl-py == 2.1.0',
]
project_name = 'image_augmentation'
class InstallPlatlib(install.install):
"""This class is needed in order to install platform specific libraries.
Attributes:
install_lib: library to install
"""
def finalize_options(self):
install.install.finalize_options(self)
self.install_lib = self.install_platlib
class BinaryDistribution(dist.Distribution):
"""This class is needed in order to create OS specific wheels."""
def has_ext_modules(self):
return True
def is_pure(self):
return False
# read the contents of your README file
this_directory = pathlib.Path(__file__).parent
long_description = (this_directory / 'README.md').read_text()
setuptools.setup(
name=project_name,
version=__version__,
description=(
'multidim_image_augmentation provides Tensorflow operations for 2D & 3D'
' image augmentation.'
),
long_description=long_description,
long_description_content_type='text/markdown',
author='Google Inc.',
author_email='[email protected]',
url='https://github.com/google-deepmind/multidim-image-augmentation/',
# Contained modules and scripts.
packages=setuptools.find_packages(),
install_requires=REQUIRED_PACKAGES,
# Add in any packaged data.
include_package_data=True,
zip_safe=False,
distclass=BinaryDistribution,
cmdclass={'install': InstallPlatlib},
# PyPI package information.
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.11',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Software Development :: Libraries :: Python Modules',
'Topic :: Software Development :: Libraries',
],
license='Apache 2.0',
keywords='tensorflow custom op machine learning image augmentation 3d',
)