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AVLDL.DeepLearning_DetectAnomalies1 Method

Namespace:AvlNet.DeepLearning
Assembly:AvlDl.Net.dll

Syntax

public static void DeepLearning_DetectAnomalies1
(
	AvlNet.DeepLearning.DeepLearningConnectionState ioState,
	AvlNet.Image inImage,
	string inDeepModel,
	bool inComputeReconstruction,
	AvlNet.Image outHeatmap,
	out bool outIsValid,
	out float outScore,
	out bool outIsConfident,
	NullableRef<AvlNet.Image> outReconstructedImage
)

Parameters

Name Type Range Default Description
ioStateAvlNet.DeepLearning.DeepLearningConnectionState
inImageAvlNet.ImageInput image
inDeepModelstringTrained model
inComputeReconstructionboolTrue
outHeatmapAvlNet.ImageImage contains heatmaps for each input image channel
outIsValidboolReturns true if anomaly was not found
outScorefloatScore of classification
outIsConfidentboolReturns "false" if score is between T1 and T2
outReconstructedImageAvlNet.NullableRef<AvlNet.Image>Returns network answer

Remarks

  • Model provided on inDeepModel input will be loaded to service automatically on first usage of Deep Learning filters.
  • These filters only communicates with service and cannot be use for parallel computation.

Errors

List of possible exceptions:

Error type Description
DomainError Not supported inImage pixel format in DeepLearning_DetectAnomalies1.

Function Overrides

See also