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setup.py
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setup.py
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#!usr/bin/python
# -*- coding: utf-8 -*-
"""
Package installation setup
"""
import os
import sys
import subprocess
from setuptools import setup, find_packages
version = '0.1.0b0'
sha = 'Unknown'
package_name = 'pyronear'
cwd = os.path.dirname(os.path.abspath(__file__))
try:
sha = subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=cwd).decode('ascii').strip()
except Exception:
pass
if os.getenv('BUILD_VERSION'):
version = os.getenv('BUILD_VERSION')
elif sha != 'Unknown':
version += '+' + sha[:7]
print("Building wheel {}-{}".format(package_name, version))
def write_version_file():
version_path = os.path.join(cwd, 'pyronear', 'version.py')
with open(version_path, 'w') as f:
f.write("__version__ = '{}'\n".format(version))
if sys.argv[-1] == 'publish':
os.system('python3 setup.py sdist upload')
sys.exit()
write_version_file()
with open('README.md') as f:
readme = f.read()
with open('requirements.txt') as f:
requirements = f.read().splitlines()
setup(
# Metadata
name=package_name,
version=version,
author='François-Guillaume Fernandez',
description='Modules, operations and models for wildfire detection in PyTorch',
long_description=readme,
long_description_content_type="text/markdown",
url='https://github.com/frgfm/PyroNear',
license='MIT',
classifiers=[
'Development Status :: 1 - Planning',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Intended Audience :: Developers',
'Operating System :: OS Independent',
'Natural Language :: English',
'Topic :: Scientific/Engineering :: Artificial Intelligence'
],
keywords=['pytorch', 'deep learning', 'vision', 'models',
'wildifre', 'object detection'],
# Package info
packages=find_packages(exclude=('test',)),
zip_safe=True,
python_requires='>=3.6.0',
include_package_data=True,
install_requires=requirements,
package_data={'': ['LICENSE']}
)