nnInteractive/supervoxel/pyproject.toml

[project]
name = "nnInteractiveSuperVoxel"
version = "0.1.0"
requires-python = ">=3.9"
description = "Sam based 3D SuperVoxel generation."
readme = "readme.md"
license = { file = "LICENSE" }
authors = [
    { name = "Maximilian Rokuss", email = "maximilian.rokuss@dkfz-heidelberg.de"}
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Healthcare Industry",
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: Apache Software License",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Image Recognition",
    "Topic :: Scientific/Engineering :: Medical Science Apps.",
]
keywords = [
    'deep learning',
    'image segmentation',
    'semantic segmentation',
    'medical image analysis',
    'medical image segmentation',
    'sam',
    'segment anything'
]
dependencies = [
    "numpy>=1.24",
    "SimpleITK>=2.2.1",
    "segment-anything @ git+https://github.com/facebookresearch/segment-anything.git",
    "opencv-python-headless>=4.10.0.84",
    "blosc2>=3.0.0b1",
    "connected-components-3d>=3.21.0",
    "scikit-image>=0.24.0",
    "pandas>=2.2.3"
]


[project.scripts]
SuperVoxel_generate = "run:run_entrypoint"
SuperVoxel_save_fg_location = "run:run_save_fg_locations_entrypoint"



[build-system]
requires = ["setuptools>=67.8.0"]
build-backend = "setuptools.build_meta"

[tool.codespell]
skip = '.git,*.pdf,*.svg'
#
# ignore-words-list = ''