Groma

(โ˜… 586)

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

  • .gitignore
  • LICENSE
  • pyproject.toml
  • README.md

# Installation Guide

1. Get the code
git clone https://github.com/FoundationVision/Groma

Downloads the entire project code from GitHub to your computer.

cd Groma

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -f mmcv/Dockerfile -t groma .

Builds a runnable image based on the Dockerfile.

docker run -p 8080:80 groma

Runs the built image as an actual container.

โœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

3. Python

Easy
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 -r mmcv/requirements.txt

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

python <์‹คํ–‰ํ•  ํŒŒ์ผ๋ช…>.py # README์—์„œ ์ •ํ™•ํ•œ ์‹คํ–‰ ํŒŒ์ผ๋ช…์„ ํ™•์ธํ•˜์„ธ์š”

Runs the Python script (or module).

โœ… If it runs without errors and prints output in the terminal, it worked.
// repository documentation