pyproject.toml

[project]
name = "isdnet"
version = "1.0.0"
description = "ISDNet: Integrating Shallow and Deep Networks for Efficient Semantic Segmentation"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "Apache-2.0"}
authors = [
    {name = "Shaohua Li"},
    {name = "Adrien"},
]
keywords = ["semantic-segmentation", "deep-learning", "pytorch", "isdnet"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Image Recognition",
]

dependencies = [
    "torch>=2.0.0",
    "torchvision>=0.15.0",
    "numpy>=1.24.0",
    "pillow>=9.0.0",
    "timm>=0.9.0",
    "tqdm>=4.65.0",
    "mmcv>=2.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "black>=23.0.0",
    "ruff>=0.1.0",
]
train = [
    "matplotlib>=3.7.0",
    "tensorboard>=2.12.0",
]

[project.urls]
Homepage = "https://github.com/Eli-YiLi/ISDNet"
Repository = "https://github.com/Eli-YiLi/ISDNet"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["isdnet"]

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "W", "I"]
ignore = ["E501"]

[tool.black]
line-length = 100
target-version = ["py310", "py311", "py312"]