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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=68.2.2", "numpy>=1.22.0, <=1.26.4"]
build-backend = "setuptools.build_meta"
[project]
version = "0.0.7"
authors = [{name = "Andreas Mazur"}]
maintainers = [{name = "Andreas Mazur"}]
name = "geoconv"
description = "Intrinsic Surface Convolutions for everyone!"
license = {file = "LICENSE"}
readme = "README.md"
keywords = [
"surface",
"surface-convolution",
"convolution",
"intrinsic-surface-convolution",
"machine-learning",
"deep-learning",
"neural-network",
"convolutional-neural-networks",
"deep-neural-network",
"tensorflow",
"keras",
"pytorch",
"geometry",
"geometry-processing",
"geodesic",
"geodesic-algorithm",
"geometric",
"geometric-deep-learning",
"visualization",
"benchmarking"
]
requires-python = ">= 3.10"
dependencies = [
"numpy>=1.22.0, <=1.26.4",
"tqdm>=4.64.0",
"trimesh>=3.12.6",
"pyglet>=1.5.27",
"matplotlib>=3.5.2",
"open3d>=0.17.0",
"networkx>=2.8.6",
"pygeodesic>=0.1.7",
"Pillow>=10.0.1",
"scipy>=1.10.0",
"pyglet<2"
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Education",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Education",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Physics",
"Topic :: Scientific/Engineering :: Visualization",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
]
[project.optional-dependencies]
pytorch = [
"torch",
"torchvision",
"torchaudio",
"torcheval"
]
tensorflow = ["tensorflow"]
tensorflow_gpu = ["tensorflow[and-cuda]"]
[project.urls]
Repository = "https://github.com/andreasMazur/geoconv"
Issues = "https://github.com/andreasMazur/geoconv/issues"