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AVL.DeepLearning_DetectFeatures Method
AVL.DeepLearning_DetectFeatures Method
Performs feature classification using trained deep-learning model.
| Namespace: | AvlNet |
|---|
| Assembly: | AVL.NET.dll |
|---|
Syntax
public static void DeepLearning_DetectFeatures(
ref AvlNet.DeepLearningConnectionState ioState,
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 |
| ioState | AvlNet.DeepLearningConnectionState | | | |
 | inImage | AvlNet.Image | | | Input image. |
| inRoi | AvlNet.Region | | | Area of interest. Default value: atl::NIL, or null. |
| inDeepModel | string | | | Trained model. |
| inOverlap | bool | | True | Add tiles overlapping to improve results quality. Default value: True. |
 | 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_DetectFeatures |
| DomainError |
Invalid DeepModel in DeepLearning_DetectFeatures. |
| DomainError |
Empty image in DeepLearning_DetectFeatures. |
| 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. |
See also
