File size: 2,492 Bytes
d21cb06 | 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 |
# Copyright (C) 2019-2020 Intel Corporation
#
# SPDX-License-Identifier: MIT
from distutils.util import strtobool
import os
import os.path as osp
import re
import setuptools
def find_version(file_path=None):
if not file_path:
file_path = osp.join(osp.dirname(osp.abspath(__file__)),
'datumaro', 'version.py')
with open(file_path, 'r') as version_file:
version_text = version_file.read()
# PEP440:
# https://www.python.org/dev/peps/pep-0440/#appendix-b-parsing-version-strings-with-regular-expressions
pep_regex = r'([1-9]\d*!)?(0|[1-9]\d*)(\.(0|[1-9]\d*))*((a|b|rc)(0|[1-9]\d*))?(\.post(0|[1-9]\d*))?(\.dev(0|[1-9]\d*))?'
version_regex = r'VERSION\s*=\s*.(' + pep_regex + ').'
match = re.match(version_regex, version_text)
if not match:
raise RuntimeError("Failed to find version string in '%s'" % file_path)
version = version_text[match.start(1) : match.end(1)]
return version
def get_requirements():
requirements = [
'attrs>=19.3.0',
'defusedxml',
'GitPython',
'lxml',
'matplotlib',
'numpy>=1.17.3',
'Pillow',
'pycocotools',
'PyYAML',
'scikit-image',
'tensorboardX',
]
if strtobool(os.getenv('DATUMARO_HEADLESS', '0').lower()):
requirements.append('opencv-python-headless')
else:
requirements.append('opencv-python')
return requirements
with open('README.md', 'r') as fh:
long_description = fh.read()
setuptools.dist.Distribution().fetch_build_eggs([
'Cython>=0.27.3' # required for pycocotools and others, if need to compile
])
setuptools.setup(
name="datumaro",
version=find_version(),
author="Intel",
author_email="maxim.zhiltsov@intel.com",
description="Dataset Management Framework (Datumaro)",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/opencv/cvat/datumaro",
packages=setuptools.find_packages(exclude=['tests*']),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires='>=3.5',
install_requires=get_requirements(),
extras_require={
'tf': ['tensorflow'],
'tf-gpu': ['tensorflow-gpu'],
},
entry_points={
'console_scripts': [
'datum=datumaro.cli.__main__:main',
],
},
)
|