Package | Description |
---|---|
org.anchoranalysis.image.inference.bean.segment.instance |
Instance-segmentation of a
Stack . |
org.anchoranalysis.plugin.image.bean.object.provider.segment |
Implementations of
ObjectCollectionProvider
involving segmentation. |
org.anchoranalysis.plugin.image.task.bean.segment |
Tasks to segment an image.
|
org.anchoranalysis.plugin.onnx.bean.object.segment.stack |
Segmenting a
Stack using the ONNX Runtime to produce
an ObjectCollection . |
org.anchoranalysis.plugin.opencv.bean.object.segment.stack |
Segmentation of a
Stack using OpenCV. |
org.anchoranalysis.test.image.segment |
Fixtures or other helper classes for testing image segmentation algorithms.
|
Modifier and Type | Class and Description |
---|---|
class |
SegmentStackIntoObjectsScaleDecode<T,S extends ImageInferenceModel<T>>
A
SegmentStackIntoObjectsScaleDecode 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.
|
Modifier and Type | Method and Description |
---|---|
SegmentStackIntoObjectsPooled<T> |
SuppressNonMaximum.getSegment()
The segmentation algorithm that is applied as an input to non-maximum suppression.
|
Modifier and Type | Method and Description |
---|---|
void |
SuppressNonMaximum.setSegment(SegmentStackIntoObjectsPooled<T> segment)
The segmentation algorithm that is applied as an input to non-maximum suppression.
|
Constructor and Description |
---|
SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment)
Creates with a particular segmentation algorithm as an input.
|
SuppressNonMaximum(SegmentStackIntoObjectsPooled<T> segment,
ReduceElements<ObjectMask> reduce,
boolean separateEachLabel) |
Modifier and Type | Method and Description |
---|---|
SegmentStackIntoObjectsPooled<T> |
SegmentStack.getSegment()
The segmentation procedure.
|
Modifier and Type | Method and Description |
---|---|
void |
SegmentStack.setSegment(SegmentStackIntoObjectsPooled<T> segment)
The segmentation procedure.
|
Modifier and Type | Method and Description |
---|---|
SegmentStackIntoObjectsPooled<T> |
SegmentInstanceWithModel.getSegment()
The segmentation algorithm.
|
Modifier and Type | Method and Description |
---|---|
void |
SegmentInstanceWithModel.setSegment(SegmentStackIntoObjectsPooled<T> segment)
The segmentation algorithm.
|
Modifier and Type | Class and Description |
---|---|
class |
SegmentObjectsFromONNXModel
Performs instance-segmentation using the ONNX Runtime and an
.onnx model file. |
Modifier and Type | Class and Description |
---|---|
class |
SegmentObjectsFromTensorFlowModel
Performs instance-segmentation using OpenCV's DNN module and a TensorFlow
.pb SavedModel file. |
Modifier and Type | Method and Description |
---|---|
protected abstract SegmentStackIntoObjectsPooled<?> |
InstanceSegmentationTestBase.createSegmenter()
Creates the segmentation implementation to be tested.
|
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.