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DeepLearning_DetectAnomalies
Detects anomalies using trained deep-learning model.
Syntax
C++
C#
void avl::DeepLearning_DetectAnomalies ( const avl::Image& inImage, const atl::Optional<avl::Region>& inRoi, const avl::DeepModel& inDeepModel, avl::Image& outHeatmap, bool& outIsValid, float& outScore, bool& outIsConfident, avl::Image& outReconstructedImage )
Parameters
Name | Type | Default | Description | |
---|---|---|---|---|
inImage | const Image& | Input image | ||
inRoi | const Optional<Region>& | NIL | Area of interest | |
inDeepModel | const DeepModel& | 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 |
Errors
Error type | Description |
---|---|
DomainError | Empty ROI region in DeepLearning_DetectAnomalies |
DomainError | Invalid DeepModel in DeepLearning_DetectAnomalies. |
DomainError | Empty image in DeepLearning_DetectAnomalies. |
IoError | Unable to connect to Deep Learning Service. Please check if service is up and running. |
IoError | Connection with service lost. |
IoError | Missing results count. |
IoError | Invalid error count. |
IoError | Missing result. |
IoError | Missing heat map. |