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from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="quality_assessment_library",
version="0.1.0",
author="Damian Boborzi",
author_email="damian.boborzi@uni-a.de",
description="A library for assessing the quality of 3D models, with a focus on 3D car models",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/FeMa42/quality_assessment_library",
packages=find_packages(),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
],
python_requires=">=3.8",
install_requires=[
"torch>=2.4",
"torchvision>=0.19",
"numpy>=1.26",
"scipy>=1.14",
"scikit-learn>=1.6",
"Pillow>=10.4",
"imageio>=2.34",
"transformers==4.45.0",
"huggingface_hub>=0.30",
"einops==0.8.0",
"safetensors>=0.4",
"clip @ git+https://github.com/openai/CLIP.git@a1d071733d7111c9c014f024669f959182114e33",
"sentencepiece>=0.2.0",
"open_clip_torch>=2.24",
"onnxruntime==1.21.0",
"pytorch_lightning>=2.2",
"torchmetrics>=1.7",
"torchdata>=0.8",
"pytorch-fid>=0.3",
"protobuf>=4.25",
"torch-fidelity>=0.3",
"opencv-contrib-python>=4.10",
"rembg>=2.0",
"tqdm>=4.66",
"requests>=2.32",
"packaging>=24.1",
"sdata>=0.23",
"image-reward>=1.5",
# Mesh Metrics Dependencies:
"rtree>=0.9.0",
"trimesh>=3.20",
"vtk>=9.2.6",
"MeshMetrics @ git+https://github.com/gasperpodobnik/MeshMetrics.git@main",
],
include_package_data=True,
entry_points={
"console_scripts": [
"car-quality-download-models=scripts.download_models:download_models",
],
},
)