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setup.py
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setup.py
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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='[email protected]',
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',
],
),
],
)