greenhouse/setup.py

75 lines
2.2 KiB
Python

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from libs.version import __version__
from sys import platform as _platform
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
# TODO: Different OS have different requirements
]
# OS specific settings
SET_REQUIRES = []
if _platform == "linux" or _platform == "linux2":
# linux
print('linux')
elif _platform == "darwin":
# MAC OS X
SET_REQUIRES.append('py2app')
required_packages = find_packages()
required_packages.append('labelImg')
APP = ['labelImg.py']
OPTIONS = {
'argv_emulation': True,
'iconfile': 'resources/icons/app.icns'
}
setup(
app=APP,
name='labelImg',
version=__version__,
description="LabelImg is a graphical image annotation tool and label object bounding boxes in images",
long_description=readme + '\n\n' + history,
author="TzuTa Lin",
author_email='tzu.ta.lin@gmail.com',
url='https://github.com/tzutalin/labelImg',
package_dir={'labelImg': '.'},
packages=required_packages,
entry_points={
'console_scripts': [
'labelImg=labelImg.labelImg:main'
]
},
include_package_data=True,
install_requires=requirements,
license="MIT license",
zip_safe=False,
keywords='labelImg labelTool development annotation deeplearning',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
"Programming Language :: Python :: 2",
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
package_data={'data/predefined_classes.txt': ['data/predefined_classes.txt']},
options={'py2app': OPTIONS},
setup_requires= SET_REQUIRES
)