Uses of Class
org.anchoranalysis.image.inference.bean.segment.instance.SegmentStackIntoObjectsPooled
Packages that use SegmentStackIntoObjectsPooled
Package
Description
Instance-segmentation of a
Stack
.Implementations of
ObjectCollectionProvider
involving segmentation.Tasks to segment an image.
Segmenting a
Stack
using the ONNX Runtime to produce
an ObjectCollection
.Segmentation of a
Stack
using OpenCV.Fixtures or other helper classes for testing image segmentation algorithms.
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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 TypeClassDescriptionclass
SegmentStackIntoObjectsScaleDecode<T,
S extends ImageInferenceModel<T>> ASegmentStackIntoObjectsScaleDecode
that scales the input image, before performing inference, and then decodes the output.class
SuppressNonMaximum<T extends InferenceModel>
Applies a segmentation procedure followed by non-maximum suppression.Methods 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 TypeMethodDescriptionvoid
SuppressNonMaximum.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 newSuppressNonMaximum
instance. -
Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.plugin.image.bean.object.provider.segment
Methods in org.anchoranalysis.plugin.image.bean.object.provider.segment that return SegmentStackIntoObjectsPooledMethods in org.anchoranalysis.plugin.image.bean.object.provider.segment with parameters of type SegmentStackIntoObjectsPooledModifier and TypeMethodDescriptionvoid
SegmentStack.setSegment
(SegmentStackIntoObjectsPooled<T> segment) The segmentation procedure. -
Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.plugin.image.task.bean.segment
Methods in org.anchoranalysis.plugin.image.task.bean.segment that return SegmentStackIntoObjectsPooledModifier and TypeMethodDescriptionSegmentInstanceWithModel.getSegment()
The segmentation algorithm.Methods in org.anchoranalysis.plugin.image.task.bean.segment with parameters of type SegmentStackIntoObjectsPooledModifier and TypeMethodDescriptionvoid
SegmentInstanceWithModel.setSegment
(SegmentStackIntoObjectsPooled<T> segment) The segmentation algorithm. -
Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.plugin.onnx.bean.object.segment.stack
Subclasses of SegmentStackIntoObjectsPooled in org.anchoranalysis.plugin.onnx.bean.object.segment.stackModifier and TypeClassDescriptionclass
Performs instance-segmentation using the ONNX Runtime and an.onnx
model file. -
Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.plugin.opencv.bean.object.segment.stack
Subclasses of SegmentStackIntoObjectsPooled in org.anchoranalysis.plugin.opencv.bean.object.segment.stackModifier and TypeClassDescriptionclass
Performs instance-segmentation using OpenCV's DNN module and a TensorFlow.pb
SavedModel file. -
Uses of SegmentStackIntoObjectsPooled in org.anchoranalysis.test.image.segment
Methods in org.anchoranalysis.test.image.segment that return SegmentStackIntoObjectsPooledModifier and TypeMethodDescriptionprotected abstract SegmentStackIntoObjectsPooled
<?> InstanceSegmentationTestBase.createSegmenter()
Creates the segmentation implementation to be tested.