agribound/pyproject.toml at main · montimaj/agribound · GitHub

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[build-system]
requires = ["setuptools>=68.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[project]
name = "agribound"
dynamic = ["version"]
description = "Agribound: Unified agricultural field boundary delineation from satellite imagery using geospatial foundation models, pre-trained segmentation, and embeddings."
readme = "README.md"
license = {text = "Apache-2.0"}
requires-python = ">=3.10"
authors = [
    {name = "Sayantan Majumdar"},
    {name = "Justin L. Huntington"},
    {name = "Peter ReVelle"},
    {name = "Soheil Nozari"},
    {name = "Ryan G. Smith"},
    {name = "M. F. Hasan"},
    {name = "Matt Bromley"},
    {name = "Jayden Atkin"},
    {name = "Jeremy Rapp"},
    {name = "Eric R. Jensen"},
    {name = "David Ketchum"},
    {name = "Samapriya Roy"},
]
keywords = [
    "agriculture",
    "field-boundaries",
    "remote-sensing",
    "satellite-imagery",
    "deep-learning",
    "earth-engine",
    "geospatial",
    "segmentation",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: GIS",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Image Recognition",
]
dependencies = [
    "rasterio>=1.3",
    "geopandas>=0.14",
    "shapely>=2.0",
    "pyproj>=3.6",
    "fiona>=1.9",
    "numpy>=1.24",
    "scipy>=1.11",
    "scikit-learn>=1.3",
    "click>=8.1",
    "pyyaml>=6.0",
    "tqdm>=4.65",
    "huggingface-hub>=0.20",
    "dask[distributed]>=2024.1",
    "leafmap>=0.30",
]

[project.optional-dependencies]
gee = [
    "earthengine-api>=0.1.380",
    "geemap>=0.30",
    "geedim>=2.0",
]
delineate-anything = [
    "ultralytics>=8.3",
    "opencv-python>=4.8",
    "numba>=0.58",
]
ftw = [
    "torch>=2.1",
    "torchvision>=0.16",
    "torchgeo>=0.6",
    "segmentation-models-pytorch>=0.3",
    "lightning>=2.6",
    # PyPI ftw-tools (v1.x) provides semantic segmentation only.
    # For instance segmentation (Delineate-Anything via FTW), install the
    # dev version: pip install -e path/to/ftw-baselines
    "ftw-tools>=1.4",
]
geoai = [
    "geoai-py>=0.30",
    "termcolor",
]
prithvi = [
    "terratorch>=0.1",
    "torch>=2.1",
    "torchgeo>=0.6",
    "kornia>=0.7",
]
samgeo = [
    "segment-geospatial[samgeo2]>=1.3",
    "torch>=2.1",
]
tessera = [
    "torch>=2.1",
    "geoai-py>=0.30",
    "geotessera",
]
docs = [
    "mkdocs>=1.5",
    "mkdocs-material>=9.5",
    "mkdocstrings[python]>=0.24",
    "mkdocs-jupyter>=0.24",
]
dev = [
    "pytest>=7.4",
    "pytest-cov>=4.1",
    "ruff>=0.3",
]
all = [
    "agribound[gee,delineate-anything,ftw,geoai,prithvi,samgeo,tessera]",
]

[project.scripts]
agribound = "agribound.cli:main"

[project.urls]
Homepage = "https://github.com/montimaj/agribound"
Documentation = "https://montimaj.github.io/agribound"
Repository = "https://github.com/montimaj/agribound"
Issues = "https://github.com/montimaj/agribound/issues"

[tool.setuptools.dynamic]
version = {attr = "agribound._version.__version__"}

[tool.setuptools.packages.find]
include = ["agribound*"]

[tool.ruff]
target-version = "py310"
line-length = 100

[tool.ruff.lint]
select = ["E", "F", "W", "I", "N", "UP", "B", "SIM"]

[tool.ruff.lint.per-file-ignores]
"*.ipynb" = ["B018"]
"examples/*.py" = ["E402"]

[tool.pytest.ini_options]
testpaths = ["tests"]
markers = [
    "gpu: requires GPU (deselect with '-m not gpu')",
    "gee: requires GEE authentication (deselect with '-m not gee')",
    "slow: long-running tests (deselect with '-m not slow')",
]