pyproject.toml

[tool.poetry]
name = "aigis"
version = "0.1.0"
description = "Tools for aerial and satellite imagery acquisition, processing, annotation, and analysis using artificial intelligence"
authors = ["Henry Lydecker <henry.lydecker@gmail.com>", "Sahand Vahidnia <sahand.vahidnia@sydney.edu.au>", "Xinwei Luo <xinwei.luo@sydney.edu.au>", "Thomas Mauch <thomas.mauch@sydney.edu.au>"]
readme = "README.md"

[tool.poetry.dependencies]
python = "^3.10"
pandas = "^2.2.0"
pillow = "^10.2.0"
matplotlib = "^3.8.3"
shapely = "^2.0.3"
geopandas = "^0.14.3"
rioxarray = "^0.15.1"
rasterio = "^1.3.9"
geoplot = "^0.5.1"
fiona = "^1.9.5"
pycocotools = "^2.0.7"
funcy = "^2.0"
argparse = "^1.4.0"
scikit-learn = "^1.4.1.post1"
scikit-multilearn = "^0.2.0"
OWSLib = "^0.29.3"
geojson = "^3.1.0"
groundingdino-py = "^0.4.0"
mercantile = "^1.2.1"
numpy = "^1.26.4"
opencv-python = "^4.9.0.80"
osmtogeojson = "^0.0.2"
overpass = "^0.7"
requests = "^2.31.0"
segment-geospatial = "^0.10.2"
roboflow = "^1.1.19"
wandb = "^0.16.3"
torch = "^2.2.0"
torchvision = "^0.17.0"
onnx = "^1.15.0"
onnxruntime = "^1.17.0"
netron = "^7.4.9"
pre-commit = "^3.6.2"
Sphinx = "^7.2.6"
sphinx-rtd-theme = "^2.0.0"
pyarrow = "^15.0.0"
dask = "^2024.2.1"


[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"