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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"]
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