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_FeatureDetection for pre-loading model before execution starts.

Remarks

  • Model provided on inDeepModel input will be loaded automatically on first usage of this filter.
  • This filter should not be executed along with running Deep Learning Service as it may result in degraded performance or even out-of-memory errors. However, if stopping Deep Learning Service is not an option (e.g. program uses other Deep Learning filters) it is advised that this filter should be executed before other Deep Learning filters. Such "warm up" execution does not have to use real image or roi as long as provided image and roi have similar size.

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