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# -*- coding: utf-8 -*-
# Copyright (c) XiMing Xing. All rights reserved.
# Author: XiMing Xing
from setuptools import setup, find_packages
setup(
name='PyTorch-SVGRender',
packages=find_packages(exclude=["test*", "docs", "examples"]),
version='1.0.0',
license='Mozilla Public License Version 2.0',
description='SVG Differentiable Rendering: Generating vector graphics using neural networks.',
author='XiMing Xing, Juncheng Hu et al.',
author_email='[email protected]',
url='https://github.com/ximinng/PyTorch-SVGRender',
long_description_content_type='text/markdown',
keywords=[
'artificial intelligence',
'AIGC',
'generative models',
'SVG generation',
],
install_requires=[
'hydra-core==1.3.2', # configuration processor
'omegaconf==2.3.0', # YAML processor
'accelerate==0.20.3', # Hugging Face - pytorch distributed configuration
'diffusers==0.20.2', # Hugging Face - diffusion models
'transformers==4.30.2', # Hugging Face - transformers
'datasets==2.13.1',
'safetensors==0.3.1',
'xformers',
'einops==0.6.1',
'pillow',
'imageio-ffmpeg==0.4.8'
'torch>=1.13.1',
'torchvision>=0.14.1',
'tensorboard==2.14.0',
'triton==2.0.0.post1',
'numba==0.57.1',
'tqdm', # progress bar
'ftfy==6.1.1',
'regex==2023.6.3',
'timm==0.6.13', # computer vision models
"numpy==1.24.4",
'scikit-learn==1.3.2',
'scikit-fmm==2023.4.2',
'scipy==1.10.1',
'scikit-image==0.20.0',
'Pillow', # keep the PIL.Image.Resampling deprecation away,
'pytorch-lightning==2.1.0',
'matplotlib==3.7.1',
'visdom=0.2.4',
'wandb==0.15.8', # weights & Biases
'opencv-python==4.8.0.74', # cv2
'BeautifulSoup4==4.12.2',
'freetype-py', # font
'shapely==2.0.1', # SVG
'svgwrite==1.4.3',
'svgutils==0.3.4',
'svgpathtools==1.6.1',
'fairscale=0.4.13' # ImageReward
],
dependency_links=[
"clip @ git+https://github.com/openai/CLIP.git",
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.10',
],
)
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