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DeepLearning_DetectAnomalies_Deprecated

Detects anomalies using trained deep-learning model.

Header:	AVL.h

Syntax

void avl::DeepLearning_DetectAnomalies_Deprecated
(
	DeepLearningConnectionState& ioState,
	const avl::Image& inImage,
	const atl::Optional<avl::Region>& inRoi,
	const atl::String& inDeepModel,
	avl::Image& outHeatmap,
	bool& outIsValid,
	float& outScore,
	bool& outIsConfident,
	avl::Image& outReconstructedImage
)

void DeepLearning_DetectAnomalies_Deprecated
(
	ref DeepLearningConnectionState ioState,
	Image inImage,
	Region? inRoi,
	System.String inDeepModel,
	out Image outHeatmap,
	out bool outIsValid,
	out float outScore,
	out bool outIsConfident,
	out Image outReconstructedImage
)

Parameters

Name	Type	Default	Description
ioState	DeepLearningConnectionState&		Object used to maintain state of the function.
inImage	const Image&		Input image
inRoi	const Optional<Region>&	NIL	Area of interest
inDeepModel	const String&		Trained model
outHeatmap	Image&		Image contains heatmaps for each input image channel
outIsValid	bool&		Returns true if anomaly was not found
outScore	float&		Score of classification
outIsConfident	bool&		Returns "false" if score is between T1 and T2
outReconstructedImage	Image&		Returns network answer

Requirements

For input inImage only pixel formats are supported: 1xuint8, 3xuint8.

Read more about pixel formats in Image documentation.

Errors

Error type	Description
DomainError	Empty ROI region in DeepLearning_DetectAnomalies_Deprecated
DomainError	Region's frame does not reflect image size
DomainError	Invalid DeepModel in DeepLearning_DetectAnomalies_Deprecated.
DomainError	Empty image in DeepLearning_DetectAnomalies_Deprecated.