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DeepLearning_DetectFeatures


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