DL_LocatePoints

Module:	DeepLearning

Executes a Locate Points model on a single input image.

Name	Type	Range	Description
inImage	Image		Input image
inRoi	Region *		Limits the area where points may be located
inModelId	LocatePointsModelId		Identifier of a Locate Points model
inMinDetectionScore	Real	0.0 - 1.0	Sets a minimum required score for a point to be returned
inMinDistanceRatio	Real *	0.01 - 1.0	Sets a minimum distance between the returned points defined as a portion of the Feature Size. If not set, a value determined during the training is used
inOverlap	Bool		Cuts the image into more overlapping tiles, which improves results quality at the expense of extended execution time
outLocations	Location Array		Returns location of the found points
outClassIds	Integer Array		Returns ids of the found point classes
outClassNames	String Array		Returns names of the found point classes
outScores	Real Array		Returns scores of the found points

For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.

Read more about pixel formats in Image documentation.

It is recommended that the deep learning model is deployed with DL_LocatePoints_Deploy first and connected through the inModelId input.
If one decides not to use DL_LocatePoints_Deploy, then the model will be loaded in the first iteration. It will take up to several seconds.
Use inOverlap=False to increase execution speed at a cost of lower precision of results.

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.

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	Not supported inImage pixel format in DL_LocatePoints.

This filter is available on Basic Complexity Level.

This filter is disabled in Lite Edition. It is available only in full, Adaptive Vision Studio Professional version.