Executes a Classify Object model on a single input image.
|inRoi||Rectangle2D*||Limits the area where a classified object is located|
|inModelId||ClassifyObjectModelId||Identifier of a Classify Object model|
|inCreateRelevanceHeatmap||Bool||Enables creating a relevance heatmap at the expense of extended execution time|
|outConfidences||ClassConfidenceArray||Returns confidences for all classes|
|outClassName||String||Returns the name of the class with the highest confidence|
|outClassIndex||Integer||Returns the index of the class with the highest confidence|
|outScore||Real||Returns the value of the highest confidence|
|outRelevanceHeatmap||Heatmap||Returns the heatmap indicating how strong specific parts of image influenced the classification result|
For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.
Read more about pixel formats in Image documentation.
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 related to Instances Segmentation) it is advised that this filter should be executed at least once before performing operations utilizing Deep Learning Service (e.g. executing filters related to Instances Segmentation). Such "warm up" execution does not have to use real image or roi as long as provided image and roi have similar size.
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
|DomainError||Not supported inImage pixel format in DL_ClassifyObject.|
This filter is available on Basic Complexity Level.
Disabled in Lite Edition
Models for Deep Learning may be created using Adaptive Vision Deep Learning Editor.