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Packaging app
Utility for building deployable MONAI application package Docker image from application developed with MONAI SDK
monai-deploy package [Path of MONAI Application Code] -t [Tag for resulting Docker image of MONAI App Package]
$ monai-deploy package ./spleen_segmentation_app -t monaispleen:latest
Building MONAI Application Package...
Successfully built monaispleen:latest
<MONAI application path> Path of MONAI Application Code
--tag, -t Tag for resulting Docker image of MONAI App Package
--base Base Application Image (overrides default "nvcr.io/nvidia/pytorch:21.07-py3")
--working-dir, -w Directory mounted in container for Application (overrides default "/var/monai")
--input-dir, -i Directory mounted in container for Application Input (overrides default "input")
--output-dir, -o Directory mounted in container for Application Output (overrides default "output")
--models-dir Directory mounted in container for Models Path (overrides default "/opt/monai/models")
--model, -m Path to local directory containing all application models (will override utilizing models provided within application SDK code)
--version Version of the Application (overrides default "0.0.0")
--timeout Timeout (overrides default 0)
INTRODUCTION
GETTING STARTED
DEVELOPING WITH SDK
- Core concepts
- Creating Operator classes
- Creating Application class
- Executing app locally
- Packaging app
- Executing packaged app locally
- Deploy to the remote server - coming soon
MODULES