Executes a Locate Points model on a single input image.
|Limits the area where points may be located
|Identifier of a Locate Points model
|0.0 - 1.0
|Sets a minimum required score for a point to be returned
|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
|Cuts the image into more overlapping tiles, which improves results quality at the expense of extended execution time
|Returns location of the found points
|Returns ids of the found point classes
|Returns names of the found point classes
|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:
|Not supported inImage pixel format in FisFilter_DL_LocatePoints. Supported formats: 1xUInt8, 3xUInt8.
This filter is available on Basic Complexity Level.