All Classes
| Class | Description |
|---|---|
| DecodeInstanceSegmentation<T> |
Decodes inference output into segmented-objects.
|
| DualScale<T> |
Stores two versions of the same object, representing two different scales.
|
| ImageInferenceContext |
Attributes describing the situation in which inference on images is occurring.
|
| ImageInferenceModel<T> |
A model used for inference that accepts an image as an input.
|
| LabelledWithConfidence<T> |
Like
WithConfidence but additionally adds a label. |
| MultiScaleObject |
An
ObjectMask that exists at multiple scales. |
| ObjectForReduction |
An object that can be reduced.
|
| ObjectForReductionFactory |
Utility functions for creating one or more
ObjectForReductions. |
| ReduceElements<T> |
Reduces the number or spatial-extent of elements by favoring higher-confidence elements over
lower-confidence elements.
|
| ReduceElementsGreedy |
Reduces the number or spatial-extent of elements by favouring higher-confidence elements over
lower-confidence elements.
|
| ReduceObjectsGraph |
Combines a
PriorityQueue (ordering by highest confidence) and a graph-structure
indicating which objects overlap with each other. |
| ReductionOutcome<T> |
The result of a reduction operation.
|
| RemoveOverlappingObjects |
Intersecting objects are removed if they have sufficient overlap.
|
| ScaleAndThresholdVoxels |
Scales the size of a
Voxels<FloatBuffer> and then thresholds it. |
| SegmentedBackground |
The background to a segmentation.
|
| SegmentedObjects |
Objects that are a result of an instance-segmentation.
|
| SegmentedObjectsAtScale |
Exposes a particular set of segmented-objects at a particular scale.
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| SegmentStackIntoObjectsPooled<T extends InferenceModel> |
A base class for algorithms to segment a stack into one or more objects - using a pool of models
|
| SegmentStackIntoObjectsScaleDecode<T,S extends ImageInferenceModel<T>> |
A
SegmentStackIntoObjectsScaleDecode that scales the input image, before performing
inference, and then decodes the output. |
| SuppressNonMaximum<T extends InferenceModel> |
Applies a segmentation procedure followed by non-maximum suppression.
|
| WithConfidence<T> |
Wraps an element with a confidence-score.
|