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setup.py
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setup.py
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import os
import re
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
def get_requirements(req_path: str):
with open(req_path, encoding='utf8') as f:
return f.read().splitlines()
INSTALL_REQUIRES = get_requirements("requirements.txt")
def get_long_description():
base_dir = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(base_dir, 'README.md'), encoding='utf-8') as f:
return f.read()
def get_version():
current_dir = os.path.abspath(os.path.dirname(__file__))
version_file = os.path.join(current_dir, 'metasam', '__init__.py')
with open(version_file, encoding='utf-8') as f:
return re.search(r'^__version__ = [\'"]([^\'"]*)[\'"]', f.read(), re.M).group(1)
def get_author():
current_dir = os.path.abspath(os.path.dirname(__file__))
init_file = os.path.join(current_dir, 'metasam', '__init__.py')
with open(init_file, encoding='utf-8') as f:
return re.search(r'^__author__ = [\'"]([^\'"]*)[\'"]', f.read(), re.M).group(1)
def get_license():
current_dir = os.path.abspath(os.path.dirname(__file__))
init_file = os.path.join(current_dir, 'metasam', '__init__.py')
with open(init_file, encoding='utf-8') as f:
return re.search(r'^__license__ = [\'"]([^\'"]*)[\'"]', f.read(), re.M).group(1)
# CUDA extension
ext_modules = [
CUDAExtension(
name='metasam.sam2._C',
sources=['metasam/sam2/csrc/connected_components.cu'],
extra_compile_args={
'cxx': ['-g'],
'nvcc': ['-O2']
})
]
setup(
name='metasam',
version=get_version(),
author=get_author(),
author_email='kadir.nar@hotmail.com',
license=get_license(),
description="Metasam A Python package for Inference SAM",
long_description=get_long_description(),
long_description_content_type='text/markdown',
url='https://github.com/kadirnar/metasam',
install_requires=INSTALL_REQUIRES,
packages=find_packages(),
ext_modules=ext_modules,
cmdclass={'build_ext': BuildExtension},
include_package_data=True,
python_requires='>=3.7',
)