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pyproject.toml
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72 lines (64 loc) · 1.78 KB
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[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "slam-segmentation"
version = "1.0.0"
description = "3D Segmentation using Mosaic3D and OpenScene models for SLAM data"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [
{name = "SLAM Segmentation Team"}
]
keywords = ["segmentation", "3d", "slam", "mosaic3d", "openscene", "point-cloud"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
]
dependencies = [
"numpy>=1.20.0",
"open3d>=0.15.0",
]
[project.optional-dependencies]
full = [
"torch==2.2.2",
"torchvision>=0.15.0",
"lightning==2.2",
"hydra-core==1.3.2",
"wandb",
"scipy",
"matplotlib",
"transformers",
"einops",
"scikit-image",
]
dev = [
"pytest>=6.0",
"black>=21.0",
"pre-commit>=2.0",
]
[project.urls]
Homepage = "https://github.com/SLAM-Dunk-Prometheus/Segmentation"
Repository = "https://github.com/SLAM-Dunk-Prometheus/Segmentation"
Issues = "https://github.com/SLAM-Dunk-Prometheus/Segmentation/issues"
[project.scripts]
convert-stray = "convert_stray:main"
[tool.setuptools]
py-modules = ["convert_stray"]
[tool.black]
line-length = 99
target-version = ['py38']
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]