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setup.py
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79 lines (78 loc) · 2.06 KB
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import os
from setuptools import setup, find_packages
setup(
name="vgllm",
version="0.1.0",
packages=find_packages("src"),
package_dir={"": "src"},
install_requires=[
"torch==2.5.1",
"torchvision==0.20.1",
"transformers==4.50.0",
"deepspeed==0.16.4",
"flash_attn==2.7.4.post1",
"triton==3.1.0",
"accelerate==1.4.0",
"torchcodec==0.2",
"black==24.1.0",
"isort==5.13.2",
"datasets==3.6.0",
"evaluate>=0.4.0",
"httpx==0.25.0",
"jsonlines",
"numexpr",
"numpy==1.26.4",
"peft>=0.2.0",
"pybind11>=2.6.2",
"pytablewriter",
"sacrebleu>=1.5.0",
"scikit-learn>=0.24.1",
"sqlitedict==2.1.0",
"timm",
"einops",
"ftfy",
"openai",
"opencv-python-headless",
"av",
"hf_transfer",
"nltk",
"sentencepiece==0.1.99",
"yt-dlp",
"pycocoevalcap",
"tqdm-multiprocess",
"transformers-stream-generator",
"zstandard",
"pillow",
"pyyaml",
"sympy",
"mpmath",
"Jinja2",
"openpyxl",
"loguru",
"hf_transfer",
"tenacity==8.3.0",
"wandb>=0.16.0",
"tiktoken",
"pre-commit",
"pydantic",
"packaging",
"decord",
"zss",
"protobuf==3.20",
"qwen_vl_utils",
"open3d===0.19.0",
"spicy==0.16.0",
"terminaltables",
"pytorch3d"
],
author="Duo Zheng, Shijia Huang, Yanyang Li, Liwei Wang",
author_email="dzheng23@link.cuhk.edu.hk",
description="Official PyTorch implementation for \"Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors\"",
long_description=open("README.md").read() if os.path.exists("README.md") else "",
long_description_content_type="text/markdown",
classifiers=[
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
],
python_requires="==3.10.*",
)