A MONAI bundle contains the stored weights of a model, training, inference, post-processing transform sequences and other information. This tutorial aims to explore how to access a bundle in Python and use it in your own application. We'll cover the following topics:

1. Downloading the Bundle.
2. Creating a BundleWorkflow.
3. Getting Properties from the Bundle.
4. Updating Properties.
5. Using Components in Your Own Pipeline.
6. Utilizing Pretrained Weights from the Bundle.
7. A Simple Comparison of the Usage between ConfigParser and BundleWorkflow.

The example training dataset is Task09_Spleen.tar from http://medicaldecathlon.com/.

The script is tested with:

• Ubuntu 20.04 | Python 3.8.10 | CUDA 12.2 | Pytorch 1.13.1

• it is tested on 24gb single-gpu machine

You can conda environments to install the dependencies.

or you can just use MONAI docker.

docker pull projectmonai/monai:latest

For more information please check out the installation guide.

• For questions relating to the use of MONAI, please use our Discussions tab on the main repository of MONAI.
• For bugs relating to MONAI functionality, please create an issue on the main repository.
• For bugs relating to the running of a tutorial, please create an issue in this repository.