Package | Description |
---|---|
org.anchoranalysis.image.inference.bean.segment.instance |
Instance-segmentation of a
Stack . |
org.anchoranalysis.plugin.image.task.segment |
Non-bean classes for image-segmentation.
|
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. |
Modifier and Type | Method and Description |
---|---|
abstract ConcurrentModelPool<T> |
SegmentStackIntoObjectsPooled.createModelPool(ConcurrencyPlan plan,
Logger logger)
Creates the model pool (to be used by multiple threads).
|
ConcurrentModelPool<T> |
SuppressNonMaximum.createModelPool(ConcurrencyPlan plan,
Logger logger) |
Modifier and Type | Method and Description |
---|---|
SegmentedObjects |
SegmentStackIntoObjectsScaleDecode.segment(Stack stack,
ConcurrentModelPool<S> modelPool,
ExecutionTimeRecorder executionTimeRecorder) |
abstract SegmentedObjects |
SegmentStackIntoObjectsPooled.segment(Stack stack,
ConcurrentModelPool<T> modelPool,
ExecutionTimeRecorder executionTimeRecorder)
Segments a stack to produce an object-collection.
|
SegmentedObjects |
SuppressNonMaximum.segment(Stack stack,
ConcurrentModelPool<T> modelPool,
ExecutionTimeRecorder executionTimeRecorder) |
Modifier and Type | Method and Description |
---|---|
ConcurrentModelPool<T> |
SharedStateSegmentInstance.getModelPool() |
Constructor and Description |
---|
SharedStateSegmentInstance(ConcurrentModelPool<T> modelPool,
FeatureTableCalculator<FeatureInputSingleObject> featureTable,
LabelHeaders identifierHeaders,
String outputNameFeatures,
FeatureExporterContext context) |
Modifier and Type | Method and Description |
---|---|
ConcurrentModelPool<OnnxModel> |
SegmentObjectsFromONNXModel.createModelPool(ConcurrencyPlan plan,
Logger logger) |
Modifier and Type | Method and Description |
---|---|
ConcurrentModelPool<OpenCVModel> |
SegmentObjectsFromTensorFlowModel.createModelPool(ConcurrencyPlan plan,
Logger logger) |
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.