Executes a Detect Anomalies 1 model on a single input image.
|inModelId||DetectAnomalies1ModelId||Identifier of a Detect Anomalies 1 model|
|inReconstruct||Bool||Enables computing a reconstructed image, which may extend execution time|
|outHeatmap||Heatmap||Returns a heatmap indicating found anomalies|
|outIsValid||Bool||Returns true if no anomalies were found|
|outScore||Real||Returns score of the image|
|outIsConfident||Bool||Returns false if the score is between T1 and T2|
|outReconstructedImage||Image||Returns the reconstructed image|
For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.
Read more about pixel formats in Image documentation.
This filter should not be executed along with running Deep Learning Service as it may result in degraded performance or even out-of-memory errors.
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
|DomainError||Not supported inImage pixel format in DL_DetectAnomalies1. Supported formats: 1xUInt8, 3xUInt8.|
This filter is available on Basic Complexity Level.
Disabled in Lite Edition
Models for Deep Learning may be created using FabImage Deep Learning Editor.