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49 lines (42 loc) · 1.63 KB
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[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "dynamic-object-removal"
dynamic = ["version"]
description = "Numpy-only, no-deep-learning dynamic object removal for LiDAR point clouds (box / temporal / range-image visibility / scan-ratio)."
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
authors = [{ name = "rsasaki0109 contributors" }]
dependencies = ["numpy>=1.24"]
keywords = [
"lidar", "slam", "ros2", "point-cloud", "dynamic-object-removal",
"mapping", "removert", "erasor", "static-map", "moving-object",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Image Recognition",
"Operating System :: OS Independent",
]
[project.optional-dependencies]
ros2 = ["rclpy"]
benchmarks = ["pyarrow>=12", "awscli"]
[project.urls]
Homepage = "https://github.com/rsasaki0109/dynamic-3d-object-removal"
Repository = "https://github.com/rsasaki0109/dynamic-3d-object-removal"
Playground = "https://rsasaki0109.github.io/dynamic-3d-object-removal/demo/playground.html"
[project.scripts]
dynamic-object-removal = "dynamic_object_removal:main"
dynamic-object-removal-realtime = "realtime:main"
dynamic-object-removal-bench = "bench:main"
[tool.setuptools]
py-modules = ["dynamic_object_removal", "realtime", "bench"]
[tool.setuptools.dynamic]
version = { attr = "dynamic_object_removal.__version__" }
[tool.pytest.ini_options]
testpaths = ["tests"]