Difference between revisions of "MONAI label"
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(Created page with "Category:SoftwareCategory:Data Science in Healthcare {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|MONAI label}} |{{#vardefine:url|https://docs.monai.io/projects/...") |
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To start the server as a slurm job: | To start the server as a slurm job: | ||
sbatch start_monai_server_readonly.sh | sbatch start_monai_server_readonly.sh | ||
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Note server address from job output: used in next step | Note server address from job output: used in next step | ||
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Click on refresh button next to server address | Click on refresh button next to server address | ||
Load Next Sample | Load Next Sample | ||
− | You are good to go! Enjoy! | + | |
+ | You are good to go! Enjoy! | ||
<!--Modules--> | <!--Modules--> |
Revision as of 18:10, 2 June 2022
Description
MONAI Label is an intelligent open source image labeling and learning tool that enables users to create annotated datasets and build AI annotation models for clinical evaluation. MONAI Label enables application developers to build labeling apps in a serverless way, where custom labeling apps are exposed as a service through the MONAI Label Server.
USAGE:
1) Server:
To start the server as a slurm job: 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 slicer/4.13.0 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!
Environment Modules
Run module spider MONAI label
to find out what environment modules are available for this application.
System Variables
- HPC_MONAI LABEL_DIR - installation directory