Package | Description |
---|---|
org.anchoranalysis.image.inference.bean.segment.instance |
Instance-segmentation of a
Stack . |
org.anchoranalysis.inference.concurrency |
Specifying how many CPUs and GPUs can be allocated for some purpose.
|
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 |
---|---|
Optional<ConcurrentModel<T>> |
CreateModelForPool.create(boolean useGPU)
Creates a model.
|
Constructor and Description |
---|
ConcurrentModelPool(ConcurrencyPlan plan,
CreateModelForPool<T> createModel,
Logger logger)
Creates with a particular plan and function to create models.
|
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.