Back to Adaptive Vision Studio website
You are here: Start » Filter Reference » Deep Learning » DeepLearning_DetectAnomalies_Deprecated
Detects anomalies using trained deep-learning model.
| Name | Type | Description | |
|---|---|---|---|
![]() |
inImage | Image | Input image |
![]() |
inRoi | Region* | Area of interest |
![]() |
inDeepModel | String | 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 |
Only the following inImage pixel formats are supported: 1xuint8, 3xuint8
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_Deprecated |
| DomainError | Invalid DeepModel in DeepLearning_DetectAnomalies_Deprecated. |
| DomainError | Empty image in DeepLearning_DetectAnomalies_Deprecated. |
| IoError | Unable to connect to Deep Learning Service. Please check if service is up and running. |
| IoError | Connection with service lost. |
| DomainError | inRoi outside inImage! |
| IoError | Missing results count. |
| IoError | Invalid error count. |
| IoError | Missing result. |
| IoError | Missing heat map. |
| IoError | Unable to read threshold settings. |
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.


