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Performs feature classification using trained deep-learning model.
Name | Type | Description | |
---|---|---|---|
inImage | Image | Input image | |
inRoi | Region* | Area of interest | |
inDeepModel | DeepModel_FeatureDetection | Trained model | |
inOverlap | Bool | Add tiles overlapping to improve results quality | |
outHeatmaps | ImageArray | Returns heatmaps for all classes | |
outFeature1 | Image | Returns heatmap for first feature class | |
outFeature2 | Image | Returns heatmap for second feature class or empty image if class is not specified | |
outFeature3 | Image | Returns heatmap for third feature class or empty image if class is not specified | |
outFeature4 | Image | Returns heatmap for fourth feature class or empty image if class is not specified |
Requirements
For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.
Read more about pixel formats in Image documentation.
Hints
Loading Deep Learning Model may take longer timer. Consider using DeepLearning_LoadModel for pre-loading model before execution starts.
Remarks
- Model provided on inDeepModel input will be loaded to service automatically on first usage of Deep Learning filters.
- Service automatically releases and loads model into its memory. It may result in releasing model previously loaded using DeepLearning_LoadModel filter.
- These filters only communicates with service and cannot be use for parallel computation.
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
Error type | Description |
---|---|
DomainError | Empty image in DeepLearning_DetectFeatures. |
DomainError | Empty ROI region in DeepLearning_DetectFeatures |
DomainError | Invalid DeepModel in DeepLearning_DetectFeatures. |
DomainError | Size of ROI differs from size of image in DeepLearning_DetectFeatures |
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.
See Also
Models for Deep Learning may be created using Adaptive Vision Deep Learning Editor.