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AVL.DeepLearning_ClassifyFeatures Method
Performs feature classification using trained deep-learning model.
| Namespace: | AvlNet |
|---|---|
| Assembly: | AVL.NET.dll |
Syntax
public static void DeepLearning_ClassifyFeatures( AvlNet.Image inImage, AvlNet.Region inRoi, string inDeepModel, bool inOverlap, out AvlNet.Image[] outHeatmaps, out AvlNet.Image outFeature1, out AvlNet.Image outFeature2, out AvlNet.Image outFeature3, out AvlNet.Image outFeature4 )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
 | inImage | AvlNet.Image | Input image. | ||
| inRoi | AvlNet.Region | Area of interest. Default value: atl::NIL, or null. | ||
| inDeepModel | string | Trained model. | ||
| inOverlap | bool | Add tiles overlapping to improve results quality. | ||
 | outHeatmaps | AvlNet.Image | Returns heatmaps for all classes. | ||
| outFeature1 | AvlNet.Image | Returns heatmap for first feature class. | ||
| outFeature2 | AvlNet.Image | Returns heatmap for second feature class or empty image if class is not specified. | ||
| outFeature3 | AvlNet.Image | Returns heatmap for third feature class or empty image if class is not specified. | ||
| outFeature4 | AvlNet.Image | Returns heatmap for fourth feature class or empty image if class is not specified. |
Errors
| Error type | Description |
|---|---|
| DomainError | Empty ROI region in DeepLearning_ClassifyFeatures |
| DomainError | Invalid DeepModel in DeepLearning_Classify. |
| DomainError | Empty image in DeepLearning_Classify. |
| IoError | Unable to connect to Deep Learning Service. |
| IoError | Connection with service lost. |
| IoError | Missing results count. |
| IoError | Received invalid results count. Classification aborted. |
| IoError | Missing result. |
