Difference between revisions of "Monai"

From UFRC
Jump to navigation Jump to search
Line 39: Line 39:
  
 
==MONAI label==
 
==MONAI label==
 +
<pre>
 
           NGC container usage:
 
           NGC container usage:
  
Line 63: Line 64:
 
                     Load Next Sample
 
                     Load Next Sample
 
                 You are good to go! Enjoy!
 
                 You are good to go! Enjoy!
 
+
</pre>
 
==Learning Materials==
 
==Learning Materials==
  

Revision as of 22:02, 21 December 2022

Description

monai website  

The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm.

Project MONAI also includes MONAI Label, an intelligent open source image labeling and learning tool that helps researchers and clinicians collaborate, create annotated datasets, and build AI models in a standardized MONAI paradigm.

Environment Modules

Run module spider monai to find out what environment modules are available for this application.

System Variables

  • HPC_MONAI_DIR - installation directory
  • HPC_MONAI_BIN - executable directory
  • HPC_MONAI_LIB - library directory
  • HPC_MONAILABEL_DIR - MONAI label installation directory

MONAI core

         NGC container usage:
            ml purge
            ml ngc-monai/<version>
            python <your__python_script>

MONAI label

          NGC container usage:

            1) Server:

                 To start the server as a slurm job:
                    ml purge
                    ml ngc-monailabel/<version>
                    sbatch start_monai_server_readonly.sh

                 Note server address from job output: used in next step

            2) 3DSlicer client

                - Start Open On Demand (OOD) session
                - Start Console in hwgui with 1 GPU: gpu:geforce:1
                - In console: load & start Slicer
                     ml qt/5.15.4 slicer/4.13.0
                     vglrun -d :0.$CUDA_VISIBLE_DEVICES Slicer
                - In Slicer GUI:
                     Select module: Active Learning -> MONAILabel
                     Fill in server address, e.g.: http://c1007a-s17:8000/
                     Click on refresh button next to server address
                     Load Next Sample
                You are good to go! Enjoy!

Learning Materials

MONAI on HiPerGator Tutorial Recordings and Slides

MONAI 3-day Bootcamp Recordings and Learning Materials

MONAI Deploy App SDK

MONAI Packages

If you would like to install MONAI on your own platforms, here are some useful links:

MONAI Core tutorials