File size: 1,402 Bytes
d95b5e7 2979556 b8aa611 2979556 d95b5e7 2979556 d95b5e7 b8aa611 0a91cb6 b8aa611 b2779ca d95b5e7 0a91cb6 d95b5e7 b8aa611 d95b5e7 b8aa611 d95b5e7 b8aa611 d95b5e7 7c6fa68 d95b5e7 b8aa611 74786b2 d95b5e7 b8aa611 d95b5e7 7c6fa68 b8aa611 7c6fa68 b8aa611 7c6fa68 d95b5e7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
[tool.poetry]
name = "samgis"
version = "1.2.2"
description = "A backend for machine learning instance segmentation on geospatial data even without dedicated graphics cards."
authors = ["alessandro trinca tornidor <[email protected]>"]
license = "MIT license"
readme = "README.md"
[tool.poetry.dependencies]
bson = "^0.5.10"
contextily = "^1.5.2"
geopandas = "^0.14.3"
loguru = "^0.7.2"
numpy = "^1.26.4"
onnxruntime = "1.16.3"
opencv-python-headless = "^4.8.1.78"
pillow = "^10.2.0"
python = "^3.11"
python-dotenv = "^1.0.1"
rasterio = "^1.3.9"
requests = "^2.31.0"
samgis-core = "^1.0.3"
[tool.poetry.group.aws_lambda]
optional = true
[tool.poetry.group.aws_lambda.dependencies]
aws-lambda-powertools = "^2.30.2"
awslambdaric = "^2.0.10"
jmespath = "^1.0.1"
pydantic = "^2.5.3"
[tool.poetry.group.test]
optional = true
[tool.poetry.group.test.dependencies]
pytest = "7.4.4"
pytest-cov = "4.1.0"
python-dotenv = "^1.0.1"
httpx = "^0.26.0"
[tool.poetry.group.docs]
optional = true
[tool.poetry.group.docs.dependencies]
sphinx = "^7.2.6"
sphinx-autodoc-typehints = "^1.25.2"
sphinxcontrib-openapi = "^0.8.4"
myst-parser = "^2.0.0"
[tool.poetry.group.fastapi]
optional = true
[tool.poetry.group.fastapi.dependencies]
fastapi = "^0.110.0"
loguru = "^0.7.2"
pydantic = "^2.6.3"
uvicorn = "^0.28.0"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
|