Header: AVL.h
Namespace: avl
Module: DL_DA

Executes a Detect Anomalies 1 model on a single input image.


void avl::AvsFilter_DL_DetectAnomalies1
	const avl::Image& inImage,
	const avl::DetectAnomalies1ModelId& inModelId,
	const bool inReconstruct,
	avl::Heatmap& outHeatmap,
	bool& outIsValid,
	float& outScore,
	bool& outIsConfident,
	atl::Optional<avl::Image&> outReconstructedImage = atl::NIL


Name Type Default Description
Input value
inImage const Image& Input image
Input value
inModelId const DetectAnomalies1ModelId& Identifier of a Detect Anomalies 1 model
Input value
inReconstruct const bool True Enables computing a reconstructed image, which may extend execution time
Output value
outHeatmap Heatmap& Returns a heatmap indicating found anomalies
Output value
outIsValid bool& Returns true if no anomalies were found
Output value
outScore float& Returns score of the image
Output value
outIsConfident bool& Returns false if the score is between T1 and T2
Output value
outReconstructedImage Optional<Image&> NIL Returns the reconstructed image


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

Read more about pixel formats in Image documentation.

Optional Outputs

The computation of following outputs can be switched off by passing value atl::NIL to these parameters: outReconstructedImage.

Read more about Optional Outputs.



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.


List of possible exceptions:

Error type Description
DomainError Not supported inImage pixel format in AvsFilter_DL_DetectAnomalies1. Supported formats: 1xUInt8, 3xUInt8.

See Also