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pyproject.toml
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41 lines (38 loc) · 1.29 KB
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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "retinal_thin_vessels"
version = "2.2"
authors = [
{name = "João Paulo Menezes Linaris", email = "joaolinaris@gmail.com"},
]
description = "A Python package for analyzing thin retinal vessels and creating vessels-thickness based weight maps"
readme = "README.md"
requires-python = ">=3.8"
license = "MIT"
license-files = ["LICENSE"]
keywords = ["retina", "retinal", "retinal-vessels", "vessel-segmentation",
"image-analysis", "medical-imaging", "deep-learning",
"weight-map", "pytorch", "thin-vessels", "image-segmentation", "binary-masks",
"binary-mask"]
classifiers = [
'Intended Audience :: Science/Research',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
]
dependencies = [
"numpy",
"torch",
"scikit-image",
"scikit-learn",
"Pillow",
]
[project.urls]
Homepage = "https://github.com/J-Linaris/retinal-thin-vessels"
Repository = "https://github.com/J-Linaris/retinal-thin-vessels"