pyproject.toml

[tool.poetry]
name = "maskrcnn_benchmark"
version = "0.1.0-alpha.1"
description = "Scene graph benchmark"
authors = ["Spencer Hallyburton <spencer.hallyburton@duke.edu>", "Kaihua Tang", "Facebook"]
readme = "README.md"
license = "MIT"
repository = "https://github.com/cpsl-research/Scene-Graph-Benchmark.pytorch/"
keywords = ["scene graph", "neuro-symbolic"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
]
packages = [{include = "maskrcnn_benchmark"}]

[tool.poetry.dependencies]
python = "~3.8"
numpy = ">=1.20, <1.24"
opencv-python = ">=4.3, <4.7"
torch = { url = "https://download.pytorch.org/whl/cu113/torch-1.10.0%2Bcu113-cp38-cp38-linux_x86_64.whl" }
torchvision = { url = "https://download.pytorch.org/whl/cu113/torchvision-0.11.0%2Bcu113-cp38-cp38-linux_x86_64.whl" }
pycocotools = "^2.0.6"
yacs = "^0.1.8"
tqdm = "^4"
scipy = "^1.9"
h5py = "^3.9.0"
cityscapesScripts = "^1.5.0"

[tool.poetry.group.test.dependencies]
pytest = "^7"
pytest-cov = "^4"
bandit = "^1.7"
black = "~22.12.0"
mypy = "^0"
isort = "^5.11"
flake8 = "^5.0"
ipdb = "^0.13.13"

[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-ra -q -s"
testpaths = [
    "tests",
    "integration",
]

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