Header: AVL.h
Namespace: avl
Module: DL_DA

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


void avl::AvsFilter_DL_DetectAnomalies2
	const avl::Image& inImage,
	const avl::DetectAnomalies2ModelId& inModelId,
	avl::Heatmap& outHeatmap,
	bool& outIsValid,
	float& outScore,
	bool& outIsConfident,
	atl::Conditional<avl::Region>& outRoi


Name Type Default Description
Input value inImage const Image& Input image
Input value inModelId const DetectAnomalies2ModelId& Identifier of a Detect Anomalies 2 model
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 outRoi Conditional<Region>& ROI used in training


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.


List of possible exceptions:

Error type Description
DomainError Not supported inImage pixel format in AvsFilter_DL_DetectAnomalies2. Supported formats: 1xUInt8, 3xUInt8.

See Also