pyproject.toml

[build-system]
requires = ["setuptools", "wheel", "torch"]
build-backend = "setuptools.build_meta"

[project]
name = "neural_graph_mapping"
version = "0.1.0"
requires-python = ">=3.10"
authors = [
    {name = "Leonard Bruns", email = "leonardb@kth.se"},
    {name = "Jun Zhang"},
    {name = "Patric Jensfelt"},
]
description="Efficient neural field-based mapping relative to a pose graph"
readme = "README.md"
dependencies = [
    "einops",
    "evo",
    "pytorch3d @ git+https://github.com/facebookresearch/pytorch3d.git@47d5dc88247035b35ca3cfce159565f92d8fbb75",
    "permutohedral_encoding @ git+https://github.com/roym899/permutohedral_encoding.git@bf445adb4b3aa77eeff42d3443bf04b6aad8338b",
    "numpy",
    "open3d",
    "Pillow",
    "pyrender",
    "rerun-sdk>=0.16",
    "scipy",
    "tabulate",
    "torch>=2.2",
    "torchmetrics[image]",
    "tqdm",
    "wandb",
    "yoco>=1.1.0",
]

[tool.setuptools.package-data]
"*" = ["*.yaml"]

[project.urls]
Homepage = "https://roym899.github.io/neural_graph_mapping/"
Repository = "https://github.com/roym899/neural_graph_mapping"

[tool.black]
line-length = 95

[tool.ruff]
line-length = 95
select = ["E", "F", "ANN", "D", "W"]
ignore = ["ANN101", "D417", "ANN003"]

[tool.ruff.pycodestyle]
max-doc-length = 95

[tool.ruff.pydocstyle]
convention = "google"