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Performs points localization using a trained deep-learning model.
Name | Type | Range | Description | |
---|---|---|---|---|
inImage | Image | Input image | ||
inRoi | Region* | Area of interest | ||
inDeepModel | DeepModel_PointLocation | Trained model | ||
inMinDetectionScore | Real | 0.0 - 1.0 | Minimal score of found points | |
inMinDistanceRatio | Real* | 0.01 - 1.0 | Minimal distance between found points defined as portion of Feature Size | |
inOverlap | Bool | Add tiles overlapping to improve results quality | ||
outLocations | LocationArray | Locations of found points | ||
outClassIds | IntegerArray | Ids of found point classes | ||
outClassNames | StringArray | Names of found point classes | ||
outScores | RealArray | Scores of found points |
Requirements
For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.
Read more about pixel formats in Image documentation.
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_LocatePoints. |
DomainError | Empty ROI region in DeepLearning_LocatePoints |
DomainError | Invalid DeepModel in DeepLearning_LocatePoints. |
DomainError | Size of ROI differs from size of image in DeepLearning_LocatePoints |
IoError | Invalid service response - missing class id |
IoError | Invalid service response - missing class name |
IoError | Invalid service response - missing score |
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.