Uses of Class
org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled
Packages that use SegmentStackIntoObjectsPooled
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Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.image.inference.bean.segment.instance
Subclasses of SegmentStackIntoObjectsPooled in org.anchoranalysis.image.inference.bean.segment.instanceModifier and TypeClassDescriptionclassSegmentStackIntoObjectsScaleDecode<T, S extends ImageInferenceModel<T>>ASegmentStackIntoObjectsScaleDecodethat scales the input image, before performing inference, and then decodes the output.classSuppressNonMaximum<T extends InferenceModel>Applies a segmentation procedure followed by non-maximum suppression.Subclasses with type arguments of type SegmentStackIntoObjectsPooled in org.anchoranalysis.image.inference.bean.segment.instanceModifier and TypeClassDescriptionclassSegmentStackIntoObjectsPooled<T extends InferenceModel>A base class for algorithms to segment a stack into one or more objects - using a pool of modelsMethods in org.anchoranalysis.image.inference.bean.segment.instance that return SegmentStackIntoObjectsPooledModifier and TypeMethodDescriptionSuppressNonMaximum.getSegment()The segmentation algorithm that is applied as an input to non-maximum suppression.Methods in org.anchoranalysis.image.inference.bean.segment.instance with parameters of type SegmentStackIntoObjectsPooledModifier and TypeMethodDescriptionvoidSuppressNonMaximum.setSegment(SegmentStackIntoObjectsPooled<T> segment) The segmentation algorithm that is applied as an input to non-maximum suppression.Constructors in org.anchoranalysis.image.inference.bean.segment.instance with parameters of type SegmentStackIntoObjectsPooledModifierConstructorDescriptionSuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment) Creates with a particular segmentation algorithm as an input.SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment, ReduceElements<ObjectMask> reduce, boolean separateEachLabel) Creates a newSuppressNonMaximuminstance.