DL_DetectAnomalies2


Header: AVLDL.h
Namespace: avl
Module: DeepLearning

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

Syntax

void avl::DL_DetectAnomalies2
(
	const avl::Image& inImage,
	const avl::DetectAnomalies2ModelId& inModelId,
	avl::Heatmap& outHeatmap,
	bool& outIsValid,
	float& outScore,
	bool& outIsConfident
)

Parameters

Name Type Default Description
inImage const Image& Input image
inModelId const 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 float& 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

List of possible exceptions:

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

See Also

  • Models for Deep Learning may be created using Adaptive Vision Deep Learning Editor or using Training Api.