support gsam2 image predictor model
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setup.py
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72
setup.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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from setuptools import find_packages, setup
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from torch.utils.cpp_extension import BuildExtension, CUDAExtension
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# Package metadata
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NAME = "SAM 2"
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VERSION = "1.0"
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DESCRIPTION = "SAM 2: Segment Anything in Images and Videos"
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URL = "https://github.com/facebookresearch/segment-anything-2"
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AUTHOR = "Meta AI"
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AUTHOR_EMAIL = "segment-anything@meta.com"
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LICENSE = "Apache 2.0"
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# Read the contents of README file
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with open("README.md", "r") as f:
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LONG_DESCRIPTION = f.read()
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# Required dependencies
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REQUIRED_PACKAGES = [
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"torch>=2.3.1",
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"torchvision>=0.18.1",
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"numpy>=1.24.4",
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"tqdm>=4.66.1",
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"hydra-core>=1.3.2",
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"iopath>=0.1.10",
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"pillow>=9.4.0",
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]
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EXTRA_PACKAGES = {
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"demo": ["matplotlib>=3.9.1", "jupyter>=1.0.0", "opencv-python>=4.7.0"],
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"dev": ["black==24.2.0", "usort==1.0.2", "ufmt==2.0.0b2"],
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}
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def get_extensions():
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srcs = ["sam2/csrc/connected_components.cu"]
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compile_args = {
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"cxx": [],
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"nvcc": [
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"-DCUDA_HAS_FP16=1",
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"-D__CUDA_NO_HALF_OPERATORS__",
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"-D__CUDA_NO_HALF_CONVERSIONS__",
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"-D__CUDA_NO_HALF2_OPERATORS__",
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],
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}
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ext_modules = [CUDAExtension("sam2._C", srcs, extra_compile_args=compile_args)]
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return ext_modules
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# Setup configuration
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setup(
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name=NAME,
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version=VERSION,
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description=DESCRIPTION,
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long_description=LONG_DESCRIPTION,
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long_description_content_type="text/markdown",
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url=URL,
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author=AUTHOR,
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author_email=AUTHOR_EMAIL,
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license=LICENSE,
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packages=find_packages(exclude="notebooks"),
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install_requires=REQUIRED_PACKAGES,
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extras_require=EXTRA_PACKAGES,
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python_requires=">=3.10.0",
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ext_modules=get_extensions(),
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cmdclass={"build_ext": BuildExtension.with_options(no_python_abi_suffix=True)},
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)
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