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DeepLearning_DetectAnomalies
Detects anomalies using trained deep-learning model.
| Name | Type | Description | |
|---|---|---|---|
 |
inImage | Image | Input image |
|
inRoi | Region* | Area of interest |
|
inDeepModel | DeepModel | Trained model |
 |
outHeatmap | Image | Image contains heatmaps for each input image channel |
|
outIsValid | Bool | Returns true if anomaly was not found |
|
outScore | Real | Score of classification |
|
outIsConfident | Bool | Returns "false" if score is between T1 and T2 |
|
outReconstructedImage | Image | Returns network answer |
Errors
This filter can throw an exception to report error. Read how to deal with errors here: Error Handling
| 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. |
Complexity Level
This filter is available on Basic Complexity Level.
Disabled in Lite Edition
This filter is disabled in Lite Edition. It is available only in full, Adaptive Vision Studio Professional version.
