Performs points localization using a trained deep-learning model.
|inRoi||Region*||Area of interest|
|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|
For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.
Read more about pixel formats in Image documentation.
Loading Deep Learning Model may take longer timer. Consider using DeepLearning_LoadModel_PointLocation for pre-loading model before execution starts.
- Model provided on inDeepModel input will be loaded to service automatically on first usage of Deep Learning filters.
- These filters only communicates with service and cannot be use for parallel computation.
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.