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setup.py
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setup.py
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try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from distutils.extension import Extension
from Cython.Build import cythonize
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension
import numpy
# Get the numpy include directory.
numpy_include_dir = numpy.get_include()
# Extensions
# pykdtree (kd tree)
pykdtree = Extension(
'src.utils.libkdtree.pykdtree.kdtree',
sources=[
'src/utils/libkdtree/pykdtree/kdtree.c',
'src/utils/libkdtree/pykdtree/_kdtree_core.c'
],
language='c',
extra_compile_args=['-std=c99', '-O3', '-fopenmp'],
extra_link_args=['-lgomp'],
include_dirs=[numpy_include_dir]
)
# mcubes (marching cubes algorithm)
mcubes_module = Extension(
'src.utils.libmcubes.mcubes',
sources=[
'src/utils/libmcubes/mcubes.pyx',
'src/utils/libmcubes/pywrapper.cpp',
'src/utils/libmcubes/marchingcubes.cpp'
],
language='c++',
extra_compile_args=['-std=c++11'],
include_dirs=[numpy_include_dir]
)
# triangle hash (efficient mesh intersection)
triangle_hash_module = Extension(
'src.utils.libmesh.triangle_hash',
sources=[
'src/utils/libmesh/triangle_hash.pyx'
],
libraries=['m'], # Unix-like specific
include_dirs=[numpy_include_dir]
)
# mise (efficient mesh extraction)
mise_module = Extension(
'src.utils.libmise.mise',
sources=[
'src/utils/libmise/mise.pyx'
],
)
# simplify (efficient mesh simplification)
simplify_mesh_module = Extension(
'src.utils.libsimplify.simplify_mesh',
sources=[
'src/utils/libsimplify/simplify_mesh.pyx'
],
include_dirs=[numpy_include_dir]
)
# voxelization (efficient mesh voxelization)
voxelize_module = Extension(
'src.utils.libvoxelize.voxelize',
sources=[
'src/utils/libvoxelize/voxelize.pyx'
],
libraries=['m'] # Unix-like specific
)
# Gather all extension modules
ext_modules = [
pykdtree,
mcubes_module,
triangle_hash_module,
mise_module,
simplify_mesh_module,
voxelize_module,
]
setup(
ext_modules=cythonize(ext_modules),
cmdclass={
'build_ext': BuildExtension
}
)