DL_DetectAnomalies2


Module: DeepLearning

Executes a Detect Anomalies 2 model on a single input image.

Name Type Description
inImage Image Input image
inModelId DetectAnomalies2ModelId Identifier of a Detect Anomalies 2 model
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

Requirements

For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.

Read more about pixel formats in Image documentation.

Hints

  • It is recommended that the deep learning model is deployed with DL_DetectAnomalies2_Deploy first and connected through the inModelId input.
  • If one decides not to use DL_DetectAnomalies2_Deploy, then the model will be loaded in the first iteration. It will take up to several seconds.

Remarks

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. However, if stopping Deep Learning Service is not an option (e.g. program uses other Deep Learning filters related to Instances Segmentation) it is advised that this filter should be executed at least once before performing operations utilizing Deep Learning Service (e.g. executing filters related to Instances Segmentation). Such "warm up" execution does not have to use real image or roi as long as provided image and roi have similar size.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Not supported inImage pixel format in DL_DetectAnomalies2.

Complexity Level

This filter is available on Basic Complexity Level.

Disabled in Lite Edition

This filter is disabled in Lite Edition. It is available only in full, Adaptive Vision Studio Professional version.

See Also