Class SegmentStackIntoObjectsPooled<T extends InferenceModel>

Type Parameters:
T - model-type
Direct Known Subclasses:
SegmentStackIntoObjectsScaleDecode, SuppressNonMaximum

public abstract class SegmentStackIntoObjectsPooled<T extends InferenceModel> extends SegmentationBean<SegmentStackIntoObjectsPooled<T>>
A base class for algorithms to segment a stack into one or more objects - using a pool of models

These models are typically CNN deep-learning models.

Author:
Owen Feehan
  • Constructor Details

    • SegmentStackIntoObjectsPooled

      public SegmentStackIntoObjectsPooled()
  • Method Details