MONet Bundle Integration into MONAI Deploy #574
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- Included MONetBundleInferenceOperator in the __init__.py file for operator registration. - Updated import statements to reflect the addition of the new operator. Signed-off-by: Simone Bendazzoli <simben@kth.se>
- Corrected the bundle suffixes tuple to include a period before 'yml'. - Fixed a method call to ensure casefold() is invoked correctly. - Initialized meta_data to an empty dictionary if not provided. These changes enhance code clarity and prevent potential runtime errors. Signed-off-by: Simone Bendazzoli <simben@kth.se>
- Introduced a new operator, MONetBundleInferenceOperator, for performing inference using the MONet bundle. - Extended functionality from MonaiBundleInferenceOperator to support nnUNet-specific configurations. - Implemented methods for initializing configurations and performing predictions with multimodal data handling. This addition enhances the inference capabilities within the MONAI framework. Signed-off-by: Simone Bendazzoli <simben@kth.se>
- Introduced a new file containing the implementation of the MONetBundleInferenceOperator. - This operator extends the MonaiBundleInferenceOperator to facilitate inference with nnUNet-specific configurations. - Implemented methods for configuration initialization and multimodal data prediction, enhancing the MONAI framework's inference capabilities. Signed-off-by: Simone Bendazzoli <simben@kth.se>
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- Registered MONetBundleInferenceOperator in the __init__.py file to ensure it is included in the module's public API. - This change facilitates easier access to the operator for users of the MONAI framework. Signed-off-by: Simone Bendazzoli <simben@kth.se>
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This PR introduces support for the MONet Bundle (an nnUNet wrapper for the MONAI Bundle) into MONAI Deploy.
Key Features:
Added a new operator:
MONetBundleInferenceOperator, extendingMonaiBundleInferenceOperatorIncluded an example application demonstrating spleen segmentation using the
MONetBundleInferenceOperator