Adverse-Weather-Segmentation/pyproject.toml at main · sangchun1/Adverse-Weather-Segmentation · GitHub

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[project]
name = "adverse-weather-segmentation"
version = "0.1.0"
description = "Robustness analysis of semantic segmentation models for autonomous driving under adverse weather conditions using the ACDC dataset."
readme = "README.md"
requires-python = ">=3.10"
authors = [
    { name = "Adverse Weather Segmentation Team" }
]
license = { text = "MIT" }
keywords = [
    "semantic-segmentation",
    "computer-vision",
    "deep-learning",
    "autonomous-driving",
    "adverse-weather",
    "acdc-dataset",
    "robustness-analysis",
]
dependencies = [
    "numpy>=1.24.0",
    "pandas>=2.0.0",
    "opencv-python>=4.8.0",
    "pillow>=10.0.0",
    "matplotlib>=3.7.0",
    "scikit-learn>=1.3.0",
    "tqdm>=4.65.0",
    "pyyaml>=6.0",
    "albumentations>=1.3.0",
    "wandb>=0.16.0",

    # Model libraries
    "segmentation-models-pytorch>=0.3.3",
    "timm>=0.9.0",
    "transformers>=4.40.0",
    "accelerate>=0.30.0",
]

[project.optional-dependencies]
models = [
    "segmentation-models-pytorch>=0.3.3",
    "timm>=0.9.0",
    "transformers>=4.38.0",
    "accelerate>=0.25.0",
    "safetensors>=0.4.0",
    "huggingface-hub>=0.20.0"
]

tuning = [
    "optuna>=3.5.0"
]

notebooks = [
    "jupyter>=1.0.0",
    "ipykernel>=6.25.0",
]
dev = [
    "black>=23.0.0",
    "ruff>=0.1.0",
]
all = [
    "segmentation-models-pytorch>=0.3.3",
    "timm>=0.9.0",
    "transformers>=4.38.0",
    "accelerate>=0.25.0",
    "safetensors>=0.4.0",
    "huggingface-hub>=0.20.0",
    "optuna>=3.5.0",
    "jupyter>=1.0.0",
    "ipykernel>=6.25.0",
    "black>=23.0.0",
    "ruff>=0.1.0",
]

[project.urls]
Repository = "https://github.com/sangchun1/Adverse-Weather-Segmentation"

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

[tool.black]
line-length = 88

[tool.ruff]
line-length = 88
src = ["src"]

[tool.ruff.lint]
select = ["E", "F", "I"]
ignore = []

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"