multidim-image-augmentation

(β˜… 140)

This package provides TensorFlow Ops for multidimensional volumetric image augmentation.

  • .bazelrc
  • .dockerignore
  • BUILD
  • build_docker_and_upload_pip.sh
  • build_pip_pkg.sh
  • build_requirements.txt
  • CONTRIBUTING.md
  • Dockerfile
  • LICENSE
  • MANIFEST.in
  • README.md
  • setup.py
  • WORKSPACE

# Installation Guide

1. Get the code
git clone https://github.com/google-deepmind/multidim-image-augmentation

Downloads the entire project code from GitHub to your computer.

cd multidim-image-augmentation

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
pip install image-augmentation

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Docker

Easy
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 . -t multidim-image-augmentation

Builds a runnable image based on the Dockerfile.

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

Pulled directly from this repo's README.

4. 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 image-augmentation

Installs the package published on PyPI directly β€” no need to clone the source.

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

Pulled directly from this repo's README.

// repository documentation