banet/pyproject.toml at main · mnpinto/banet · GitHub

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[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"

[project]
name = "banet"
version = "0.8.0"
description = "A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images"
readme = "README.md"
license = { text = "Apache Software License 2.0" }
authors = [{ name = "Miguel Pinto", email = "mnpinto@fc.ul.pt" }]
keywords = ["burned areas", "viirs", "deep learning", "computer vision", "remote sensing"]
requires-python = ">=3.8"
dependencies = [
    "geoget>=0.1.17",
    "fire_split",
    "fastcore>=1.3.8",
    "fastai>=2.2.7",
    "ipython",
    "rasterio",
    "geopandas",
    "shapely",
    "netcdf4",
    "pyhdf>=0.10.2",
    "pykdtree",
    "pyresample",
]

[project.urls]
Homepage = "https://github.com/mnpinto/banet"

[project.scripts]
banet_viirs375_download = "banet.cli:banet_viirs375_download"
banet_viirs750_download = "banet.cli:banet_viirs750_download"
banet_create_dataset = "banet.cli:banet_create_dataset"
banet_dataset2tiles = "banet.cli:banet_dataset2tiles"
banet_predict_monthly = "banet.cli:banet_predict_monthly"
banet_predict_times = "banet.cli:banet_predict_times"
banet_train_model = "banet.cli:banet_train_model"
banet_nrt_run = "banet.cli:banet_nrt_run"

[tool.setuptools.packages.find]
where = ["."]