import os import sys import subprocess from setuptools import find_packages, setup from setuptools.command.install import install # TODO: This is a bit buggy since it requires torch before installing torch. from torch.utils.cpp_extension import BuildExtension, CUDAExtension def get_git_commit_number(): if not os.path.exists('.git'): return '0000000' cmd_out = subprocess.run(['git', 'rev-parse', 'HEAD'], stdout=subprocess.PIPE) git_commit_number = cmd_out.stdout.decode('utf-8')[:7] return git_commit_number def make_cuda_ext(name, module, sources): cuda_ext = CUDAExtension( name='%s.%s' % (module, name), sources=[os.path.join(*module.split('.'), src) for src in sources] ) return cuda_ext def write_version_to_file(version, target_file): with open(target_file, 'w') as f: print('__version__ = "%s"' % version, file=f) class PostInstallation(install): """Post-installation for installation mode.""" def run(self): install.run(self) # Note: buggy for kornia==0.5.3 and it will be fixed in the next version. # Set kornia to 0.5.2 temporarily subprocess.call([sys.executable, '-m', 'pip', 'install', 'kornia==0.5.2', '--no-dependencies']) if __name__ == '__main__': version = '0.3.0+%s' % get_git_commit_number() write_version_to_file(version, 'pcdet/version.py') setup( name='pcdet', version=version, description='OpenPCDet is a general codebase for 3D object detection from point cloud', install_requires=[ 'numpy', 'torch>=1.1', 'spconv', 'numba', 'tensorboardX', 'easydict', 'pyyaml' ], author='Shaoshuai Shi', author_email='shaoshuaics@gmail.com', license='Apache License 2.0', packages=find_packages(exclude=['tools', 'data', 'output']), cmdclass={ 'build_ext': BuildExtension, 'install': PostInstallation, # Post installation cannot be done. ref: https://github.com/pypa/setuptools/issues/1936. # 'develop': PostInstallation, }, ext_modules=[ make_cuda_ext( name='iou3d_nms_cuda', module='pcdet.ops.iou3d_nms', sources=[ 'src/iou3d_cpu.cpp', 'src/iou3d_nms_api.cpp', 'src/iou3d_nms.cpp', 'src/iou3d_nms_kernel.cu', ] ), make_cuda_ext( name='roiaware_pool3d_cuda', module='pcdet.ops.roiaware_pool3d', sources=[ 'src/roiaware_pool3d.cpp', 'src/roiaware_pool3d_kernel.cu', ] ), make_cuda_ext( name='roipoint_pool3d_cuda', module='pcdet.ops.roipoint_pool3d', sources=[ 'src/roipoint_pool3d.cpp', 'src/roipoint_pool3d_kernel.cu', ] ), make_cuda_ext( name='pointnet2_stack_cuda', module='pcdet.ops.pointnet2.pointnet2_stack', sources=[ 'src/pointnet2_api.cpp', 'src/ball_query.cpp', 'src/ball_query_gpu.cu', 'src/group_points.cpp', 'src/group_points_gpu.cu', 'src/sampling.cpp', 'src/sampling_gpu.cu', 'src/interpolate.cpp', 'src/interpolate_gpu.cu', 'src/voxel_query.cpp', 'src/voxel_query_gpu.cu', ], ), make_cuda_ext( name='pointnet2_batch_cuda', module='pcdet.ops.pointnet2.pointnet2_batch', sources=[ 'src/pointnet2_api.cpp', 'src/ball_query.cpp', 'src/ball_query_gpu.cu', 'src/group_points.cpp', 'src/group_points_gpu.cu', 'src/interpolate.cpp', 'src/interpolate_gpu.cu', 'src/sampling.cpp', 'src/sampling_gpu.cu', ], ), ], )