MG-LLaVA

(β˜… 160)

Official repository for paper MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning(https://arxiv.org/abs/2406.17770).

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Download Latest Version (.zip)
  • .gitignore
  • .owners.yml
  • .pre-commit-config-zh-cn.yaml
  • .pre-commit-config.yaml
  • dataset_prepare.md
  • evaluation.md
  • LICENSE
  • README.md
  • requirements.txt
  • setup.cfg
  • setup.py

# Installation Guide

1. Get the code
git clone https://github.com/PhoenixZ810/MG-LLaVA

Downloads the entire project code from GitHub to your computer.

cd MG-LLaVA

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -e '.[all]'

Installs the Python libraries listed in requirements.txt (or similar).

βœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

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// repository documentation