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 import numpy # Get the numpy include directory. numpy_include_dir = numpy.get_include() # Extensions # pykdtree (kd tree) pykdtree = Extension( 'lib.utils.libkdtree.pykdtree.kdtree', sources=[ 'lib/utils/libkdtree/pykdtree/kdtree.c', 'lib/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( 'lib.utils.libmcubes.mcubes', sources=[ 'lib/utils/libmcubes/mcubes.pyx', 'lib/utils/libmcubes/pywrapper.cpp', 'lib/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( 'lib.utils.libmesh.triangle_hash', sources=[ 'lib/utils/libmesh/triangle_hash.pyx' ], libraries=['m'], # Unix-like specific include_dirs=[numpy_include_dir] ) # mise (efficient mesh extraction) mise_module = Extension( 'lib.utils.libmise.mise', sources=[ 'lib/utils/libmise/mise.pyx' ], include_dirs=[numpy_include_dir] ) # simplify (efficient mesh simplification) simplify_mesh_module = Extension( 'lib.utils.libsimplify.simplify_mesh', sources=[ 'lib/utils/libsimplify/simplify_mesh.pyx' ], include_dirs=[numpy_include_dir] ) # voxelization (efficient mesh voxelization) voxelize_module = Extension( 'lib.utils.libvoxelize.voxelize', sources=[ 'lib/utils/libvoxelize/voxelize.pyx' ], libraries=['m'], # Unix-like specific include_dirs=[numpy_include_dir] ) # Gather all extension modules ext_modules = [ pykdtree, mcubes_module, triangle_hash_module, mise_module, simplify_mesh_module, ] setup( ext_modules=cythonize(ext_modules), cmdclass={ 'build_ext': BuildExtension }, include_dirs=[numpy_include_dir] )