Index (anchor-image-inference 0.2.1 API)

A B C D E G H I L M N O P R S T W
All Classes All Packages

A

addIndexToRetain(int) - Method in class org.anchoranalysis.image.inference.segment.ReductionOutcome: Adds an index to be retained after reduction.
addNewlyAdded(T) - Method in class org.anchoranalysis.image.inference.segment.ReductionOutcome: Adds a newly-added element, that didn't exist in the input list for reduction, but should exist in the output list.
adjacentVerticesOutgoing(ObjectForReduction) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: The vertices that are connected to a particular vertex by an outgoing edge.
adjacentVerticesOutgoingStream(ObjectForReduction) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: Like ReduceObjectsGraph.adjacentVerticesOutgoing(org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction) but returns a Stream instead of a Set.
apply(BiFunction<T, T, R>) - Method in class org.anchoranalysis.image.inference.segment.DualScale: Apply a BiFunction to both elements.
atInputScale() - Method in class org.anchoranalysis.image.inference.segment.DualScale: The element scaled to match the size of the input-image.
atInputScale() - Method in class org.anchoranalysis.image.inference.segment.SegmentedBackground: The background scaled to match the size of the input-image.
atModelScale() - Method in class org.anchoranalysis.image.inference.segment.DualScale: The element scaled to match the size of the input for model inference.
atModelScale() - Method in class org.anchoranalysis.image.inference.segment.SegmentedBackground: The background scaled to match the size of the input for model inference.

B

background() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: The background image associated with this particular scale.
backgroundDisplayStack() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: Like SegmentedObjectsAtScale.background() but instead creates a DisplayStack.

C

canEqual(Object) - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence
canEqual(Object) - Method in class org.anchoranalysis.image.inference.segment.WithConfidence
combine(DualScale<U>, BiFunction<T, U, S>) - Method in class org.anchoranalysis.image.inference.segment.DualScale: Create a derived DualScale by combining the respective elements of this instance with another.
compareTo(ObjectForReduction) - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction
compareTo(LabelledWithConfidence<T>) - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence
compareTo(WithConfidence<T>) - Method in class org.anchoranalysis.image.inference.segment.WithConfidence
createModelPool(ConcurrencyPlan, Logger) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled: Creates the model pool (to be used by multiple threads).
createModelPool(ConcurrencyPlan, Logger) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum

D

decode(List<T>, ImageInferenceContext) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation: Decodes the output tensors from inference into ObjectMasks with confidence and labels.
DecodeInstanceSegmentation<T> - Class in org.anchoranalysis.image.inference.bean.segment.instance: Decodes inference output into segmented-objects.
DecodeInstanceSegmentation() - Constructor for class org.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation
deriveInput(Stack, Optional<double[]>) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Derives the input tensor from an image.
DualScale<T> - Class in org.anchoranalysis.image.inference.segment: Stores two versions of the same object, representing two different scales.
DualScale(T, T) - Constructor for class org.anchoranalysis.image.inference.segment.DualScale

E

equals(Object) - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction
equals(Object) - Method in class org.anchoranalysis.image.inference.ImageInferenceContext
equals(Object) - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence
equals(Object) - Method in class org.anchoranalysis.image.inference.segment.WithConfidence
expectedOutputs() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.DecodeInstanceSegmentation: Ordered names of the tensors we are interested in processing, as outputted from inference.
extent() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: The width and height and depth of the background image, associated with the objects.
extractFrom(DualScale<T>, Function<T, ObjectMask>) - Static method in class org.anchoranalysis.image.inference.segment.MultiScaleObject: Creates a new MultiScaleObject by extracting a ObjectMask from a DualScale.
extractFrom(DualScale<T>, DualScale<S>, BiFunction<T, S, ObjectMask>) - Static method in class org.anchoranalysis.image.inference.segment.MultiScaleObject: Creates a new MultiScaleObject by extracting a ObjectMask from two DualScales.

G

getBackground() - Method in class org.anchoranalysis.image.inference.segment.SegmentedBackground: The background image to use for segmentation, when visualizing segmentations.
getClassLabels() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: If available, labels of classes loaded from a text file at classLabelsPath.
getClassLabelsPath() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Relative-path to the class-labels file, a text file where each line specifies a class label in order, relative to the models/ directory in the Anchor distribution.
getConfidence() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: The associated confidence.
getConfidence() - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence: The confidence associated with element.
getConfidence() - Method in class org.anchoranalysis.image.inference.segment.WithConfidence: The confidence associated with element.
getDecode() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Decodes inference output into segmented objects.
getDimensions() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: The size of the image for which we wish to segment, before and after any scaling for model inference.
getDisplayer() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: How to convert an image to be displayed to the user.
getDisplayer() - Method in class org.anchoranalysis.image.inference.segment.SegmentedBackground: How to convert the background in an image suitable to be displayed.
getElement() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: The underlying ObjectMask with whom a confidence and label is associated.
getElement() - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence: The underlying element with whom a confidence and label is associated.
getElement() - Method in class org.anchoranalysis.image.inference.segment.WithConfidence: The underlying element with whom a confidence is associated.
getExecutionTimeRecorder() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: Allows execution-time for particular operations to be recorded.
getIndex() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: The index of the element in the original list for reduction, or ObjectForReduction.NEWLY_ADDED if newly added.
getInputScale() - Method in class org.anchoranalysis.image.inference.segment.MultiScaleObject: Gets the ObjectMask at the scale associated with the input-image.
getInterpolator() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: The interpolator to use for scaling images.
getLabel() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: The label associated with the element.
getLabel() - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence: The label associated with the element.
getLabelled() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: The underlying labelled ObjectMask for input to a reduction algorithm.
getLogger() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: Where to log information messages during inference.
getModelScale() - Method in class org.anchoranalysis.image.inference.segment.MultiScaleObject: Gets the ObjectMask at the scale associated with the segmentation.
getObjects() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjects: The segmented-objects, at two different scales.
getReduce() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: The algorithm for reducing the number of object-masks.
getResizer() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: How to resize images or voxel-buffers.
getScaleFactor() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: The inverse of the scaling-factor applied to reduce unscaledDimensions to the input-matrix used for inference.
getScaleInput() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Any scaling to be applied to the input-image before being input to the model for inference.
getScoreThreshold() - Method in class org.anchoranalysis.image.inference.bean.reduce.RemoveOverlappingObjects: Bounding boxes with scores above this threshold are removed.
getSegment() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: The segmentation algorithm that is applied as an input to non-maximum suppression.
getSubtractMean() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: A constant intensity for each respective channel to be subtracted before performing inference.
getWithConfidence() - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence: The element with associated confidence.

H

hashCode() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction
hashCode() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext
hashCode() - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence
hashCode() - Method in class org.anchoranalysis.image.inference.segment.WithConfidence
highestConfidence() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjects: The object-mask with the highest confidence.

I

ImageInferenceContext - Class in org.anchoranalysis.image.inference: Attributes describing the situation in which inference on images is occurring.
ImageInferenceContext(DualScale<Dimensions>, ScaleFactor, Optional<List<String>>, VoxelsResizer, ExecutionTimeRecorder, Logger) - Constructor for class org.anchoranalysis.image.inference.ImageInferenceContext
ImageInferenceModel<T> - Interface in org.anchoranalysis.image.inference: A model used for inference that accepts an image as an input.
inputName() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: The name of the tensor in the model which the input-image is mapped to.
isEmpty() - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: Do no elements exist?
isEmpty() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjects: Whether no segmented objects exist.
isSeparateEachLabel() - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: If true, each label is reduced separately.

L

LabelledWithConfidence<T> - Class in org.anchoranalysis.image.inference.segment: Like WithConfidence but additionally adds a label.
LabelledWithConfidence(String, WithConfidence<T>) - Constructor for class org.anchoranalysis.image.inference.segment.LabelledWithConfidence
LabelledWithConfidence(T, double, String) - Constructor for class org.anchoranalysis.image.inference.segment.LabelledWithConfidence: Create for given element, confidence and label.
listAfter(List<T>) - Method in class org.anchoranalysis.image.inference.segment.ReductionOutcome: Generates a list of elements that exist after the reduction.
listWithLabels() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: Create a List of all contained objects, including confidence.
listWithoutLabels() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: Create a List of all contained objects, including confidence.

M

map(Function<T, S>) - Method in class org.anchoranalysis.image.inference.segment.DualScale: Create a derived DualScale by applying an identical mapping to each element.
map(Function<T, S>) - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence: Maps the existing object to another object, while retaining an identical confidence score.
map(Function<T, S>) - Method in class org.anchoranalysis.image.inference.segment.WithConfidence: Maps the existing object to another object, while retaining an identical confidence score.
map(UnaryOperator<Integer>, Function<T, S>) - Method in class org.anchoranalysis.image.inference.segment.ReductionOutcome: Creates a new ReductionOutcome where both the retained-indices and the newly-added elements may be mapped.
mergeVertices(ObjectForReduction, ObjectForReduction, ObjectForReduction) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: Merges two existing vertices together.
MultiScaleObject - Class in org.anchoranalysis.image.inference.segment: An ObjectMask that exists at multiple scales.
MultiScaleObject(Supplier<ObjectMask>, Supplier<ObjectMask>) - Constructor for class org.anchoranalysis.image.inference.segment.MultiScaleObject: Creates with a separate supplier of an ObjectMask for each respective scale.

N

NEWLY_ADDED - Static variable in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: A special index value to indicate that an object has been newly-added.

O

ObjectForReduction - Class in org.anchoranalysis.image.inference.bean.reduce: An object that can be reduced.
ObjectForReduction(LabelledWithConfidence<ObjectMask>) - Constructor for class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction: Creates with a ObjectMask that is considered newly-added.
ObjectForReduction(LabelledWithConfidence<ObjectMask>, int) - Constructor for class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction
ObjectForReductionFactory - Class in org.anchoranalysis.image.inference.bean.reduce: Utility functions for creating one or more ObjectForReductions.
objects() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: Create a ObjectCollection of all contained objects, excluding confidence.
objectsWithProperties() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: Like SegmentedObjectsAtScale.objects() but instead creates a ObjectCollectionWithProperties containing empty properties.
org.anchoranalysis.image.inference - package org.anchoranalysis.image.inference: Inference of machine learning models on images.
org.anchoranalysis.image.inference.bean.reduce - package org.anchoranalysis.image.inference.bean.reduce: Beans to reduce the number of results that are returned from inference, by removing overlaping entities etc.
org.anchoranalysis.image.inference.bean.segment.instance - package org.anchoranalysis.image.inference.bean.segment.instance: Instance-segmentation of a Stack.
org.anchoranalysis.image.inference.bean.segment.reduce - package org.anchoranalysis.image.inference.bean.segment.reduce: Non-bean classes to reduce the number of results that are returned from inference, by removing overlapping entities etc.
org.anchoranalysis.image.inference.segment - package org.anchoranalysis.image.inference.segment: Non-beans pertaining to segmentation of images via model inference.

P

peek() - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: The element at the top of the queue, returned without modifying the queue.
performInference(T, String, List<String>, CheckedFunction<List<T>, S, OperationFailedException>) - Method in interface org.anchoranalysis.image.inference.ImageInferenceModel: Performs inference on a single-input, to create an output.
poll() - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: The element at the top of the queue, returned removing it from the queue and graph.
populateFromList(List<LabelledWithConfidence<ObjectMask>>) - Static method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReductionFactory: Creates a list of ObjectForReductions from a corresponding list of labelled ObjectMasks.
processObjects(ObjectForReduction, ObjectForReduction, ReduceObjectsGraph) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceElementsGreedy: Processes two objects.
processObjects(ObjectForReduction, ObjectForReduction, ReduceObjectsGraph) - Method in class org.anchoranalysis.image.inference.bean.reduce.RemoveOverlappingObjects

R

reduce(List<LabelledWithConfidence<ObjectMask>>, Extent, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceElementsGreedy
reduce(List<LabelledWithConfidence<T>>, Extent, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.bean.segment.reduce.ReduceElements: Reduce a list of elements (each with a confidence score and a label) to a smaller-list.
reduce(ReduceElements<ObjectMask>, boolean, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjects: Reduces the segmented-objects, applying a reduction algorithm separately to each object-class.
ReduceElements<T> - Class in org.anchoranalysis.image.inference.bean.segment.reduce: Reduces the number or spatial-extent of elements by favoring higher-confidence elements over lower-confidence elements.
ReduceElements() - Constructor for class org.anchoranalysis.image.inference.bean.segment.reduce.ReduceElements
ReduceElementsGreedy - Class in org.anchoranalysis.image.inference.bean.reduce: Reduces the number or spatial-extent of elements by favouring higher-confidence elements over lower-confidence elements.
ReduceElementsGreedy() - Constructor for class org.anchoranalysis.image.inference.bean.reduce.ReduceElementsGreedy
ReduceObjectsGraph - Class in org.anchoranalysis.image.inference.bean.reduce: Combines a PriorityQueue (ordering by highest confidence) and a graph-structure indicating which objects overlap with each other.
ReduceObjectsGraph(List<LabelledWithConfidence<ObjectMask>>) - Constructor for class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: Create with a list of elements.
ReductionOutcome<T> - Class in org.anchoranalysis.image.inference.segment: The result of a reduction operation.
ReductionOutcome() - Constructor for class org.anchoranalysis.image.inference.segment.ReductionOutcome: Create with an empty list of retained-indices.
ReductionOutcome(List<Integer>) - Constructor for class org.anchoranalysis.image.inference.segment.ReductionOutcome
ReductionOutcome(List<Integer>, List<T>) - Constructor for class org.anchoranalysis.image.inference.segment.ReductionOutcome
removeEdge(ObjectForReduction, ObjectForReduction) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: Remove an edge between two vertices.
RemoveOverlappingObjects - Class in org.anchoranalysis.image.inference.bean.reduce: Intersecting objects are removed if they have sufficient overlap.
RemoveOverlappingObjects() - Constructor for class org.anchoranalysis.image.inference.bean.reduce.RemoveOverlappingObjects
removeVertex(ObjectForReduction) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceObjectsGraph: Removes a vertex and any edges connected to it.
resolve(String) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled: Resolves a relative filename for a model into a path, relative to the model directory.

S

scaleAndThreshold(Voxels<FloatBuffer>, Extent, VoxelsResizer, float) - Static method in class org.anchoranalysis.image.inference.segment.ScaleAndThresholdVoxels: Scales voxels representing a mask to a target size, and then thresholds.
ScaleAndThresholdVoxels - Class in org.anchoranalysis.image.inference.segment: Scales the size of a Voxels<FloatBuffer> and then thresholds it.
scaleFactorUpscale() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext: The scaling-factors needed to upscale the model output to match the desired scale.
segment(Stack, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled: Segments individually using a pool of size 1 just for one stack.
segment(Stack, ConcurrentModelPool<S>, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode
segment(Stack, ConcurrentModelPool<T>, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled: Segments a stack to produce an object-collection.
segment(Stack, ConcurrentModelPool<T>, ExecutionTimeRecorder) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum
SegmentedBackground - Class in org.anchoranalysis.image.inference.segment: The background to a segmentation.
SegmentedBackground(DualScale<Stack>, StackDisplayer) - Constructor for class org.anchoranalysis.image.inference.segment.SegmentedBackground
SegmentedObjects - Class in org.anchoranalysis.image.inference.segment: Objects that are a result of an instance-segmentation.
SegmentedObjects(String, Collection<WithConfidence<MultiScaleObject>>, SegmentedBackground, ExecutionTimeRecorder) - Constructor for class org.anchoranalysis.image.inference.segment.SegmentedObjects: Create for a collection of objects with an identical label.
SegmentedObjects(List<LabelledWithConfidence<MultiScaleObject>>, SegmentedBackground, ExecutionTimeRecorder) - Constructor for class org.anchoranalysis.image.inference.segment.SegmentedObjects: Create for a collection of objects with potentially differing labels.
SegmentedObjectsAtScale - Class in org.anchoranalysis.image.inference.segment: Exposes a particular set of segmented-objects at a particular scale.
SegmentedObjectsAtScale(List<LabelledWithConfidence<MultiScaleObject>>, Function<MultiScaleObject, ObjectMask>, Stack, StackDisplayer, ExecutionTimeRecorder, String) - Constructor for class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale
SegmentStackIntoObjectsPooled<T extends InferenceModel> - Class in org.anchoranalysis.image.inference.bean.segment.instance: A base class for algorithms to segment a stack into one or more objects - using a pool of models
SegmentStackIntoObjectsPooled() - Constructor for class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled
SegmentStackIntoObjectsScaleDecode<T,S extends ImageInferenceModel<T>> - Class in org.anchoranalysis.image.inference.bean.segment.instance: A SegmentStackIntoObjectsScaleDecode that scales the input image, before performing inference, and then decodes the output.
SegmentStackIntoObjectsScaleDecode() - Constructor for class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode
setClassLabelsPath(String) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Relative-path to the class-labels file, a text file where each line specifies a class label in order, relative to the models/ directory in the Anchor distribution.
setDecode(DecodeInstanceSegmentation<T>) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Decodes inference output into segmented objects.
setDisplayer(StackDisplayer) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: How to convert an image to be displayed to the user.
setInterpolator(Interpolator) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: The interpolator to use for scaling images.
setReduce(ReduceElements<ObjectMask>) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: The algorithm for reducing the number of object-masks.
setScaleInput(ScaleCalculator) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: Any scaling to be applied to the input-image before being input to the model for inference.
setScoreThreshold(double) - Method in class org.anchoranalysis.image.inference.bean.reduce.RemoveOverlappingObjects: Bounding boxes with scores above this threshold are removed.
setSegment(SegmentStackIntoObjectsPooled<T>) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: The segmentation algorithm that is applied as an input to non-maximum suppression.
setSeparateEachLabel(boolean) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: If true, each label is reduced separately.
setSubtractMean(DoubleList) - Method in class org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsScaleDecode: A constant intensity for each respective channel to be subtracted before performing inference.
shouldObjectsBeProcessed(ObjectMask, ObjectMask) - Method in class org.anchoranalysis.image.inference.bean.reduce.ReduceElementsGreedy: Whether to include another (possibly-overlapping with source) element in processing?
shouldObjectsBeProcessed(ObjectMask, ObjectMask) - Method in class org.anchoranalysis.image.inference.bean.reduce.RemoveOverlappingObjects
size() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjects: The total number of segmented objects.
size() - Method in class org.anchoranalysis.image.inference.segment.SegmentedObjectsAtScale: A count of the total number of elements in each representation.
sizeAfter() - Method in class org.anchoranalysis.image.inference.segment.ReductionOutcome: The total number of elements after reduction.
SuppressNonMaximum<T extends InferenceModel> - Class in org.anchoranalysis.image.inference.bean.segment.instance: Applies a segmentation procedure followed by non-maximum suppression.
SuppressNonMaximum() - Constructor for class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum
SuppressNonMaximum(SegmentStackIntoObjectsPooled<T>) - Constructor for class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum: Creates with a particular segmentation algorithm as an input.
SuppressNonMaximum(SegmentStackIntoObjectsPooled<T>, ReduceElements<ObjectMask>, boolean) - Constructor for class org.anchoranalysis.image.inference.bean.segment.instance.SuppressNonMaximum

T

toString() - Method in class org.anchoranalysis.image.inference.bean.reduce.ObjectForReduction
toString() - Method in class org.anchoranalysis.image.inference.ImageInferenceContext
toString() - Method in class org.anchoranalysis.image.inference.segment.LabelledWithConfidence
toString() - Method in class org.anchoranalysis.image.inference.segment.WithConfidence

W

WithConfidence<T> - Class in org.anchoranalysis.image.inference.segment: Wraps an element with a confidence-score.
WithConfidence(T, double) - Constructor for class org.anchoranalysis.image.inference.segment.WithConfidence

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