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setup.py
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setup.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from setuptools import find_packages, setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
# Package metadata
NAME = "SAM 2"
VERSION = "1.0"
DESCRIPTION = "SAM 2: Segment Anything in Images and Videos"
URL = "https://github.com/roboflow/rf-segment-anything-2"
AUTHOR = "A Roboflow distribution fo Meta AI's repository"
AUTHOR_EMAIL = "support@roboflow.com"
LICENSE = "Apache 2.0"
# Read the contents of README file
with open("README.md", "r") as f:
LONG_DESCRIPTION = f.read()
# Required dependencies
REQUIRED_PACKAGES = [
"torch>=2.3.1",
"torchvision>=0.18.1",
"numpy>=1.24.4",
"tqdm>=4.66.1",
"hydra-core>=1.3.2",
"iopath>=0.1.10",
"pillow>=9.4.0",
]
EXTRA_PACKAGES = {
"demo": ["matplotlib>=3.9.1", "jupyter>=1.0.0", "opencv-python>=4.7.0"],
"dev": ["black==24.2.0", "usort==1.0.2", "ufmt==2.0.0b2"],
}
def get_extensions():
srcs = ["sam2/csrc/connected_components.cu"]
compile_args = {
"cxx": [],
"nvcc": [
"-DCUDA_HAS_FP16=1",
"-D__CUDA_NO_HALF_OPERATORS__",
"-D__CUDA_NO_HALF_CONVERSIONS__",
"-D__CUDA_NO_HALF2_OPERATORS__",
],
}
ext_modules = [CUDAExtension("sam2._C", srcs, extra_compile_args=compile_args)]
return ext_modules
# Setup configuration
setup(
name="rf-segment-anything-2",
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type="text/markdown",
url=URL,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
license=LICENSE,
packages=find_packages(exclude="notebooks"),
install_requires=REQUIRED_PACKAGES,
extras_require=EXTRA_PACKAGES,
python_requires=">=3.10.0",
ext_modules=get_extensions(),
cmdclass={"build_ext": BuildExtension.with_options(no_python_abi_suffix=True)},
)