Package | Description |
---|---|
org.anchoranalysis.image.inference.bean.segment.instance |
Instance-segmentation of a
Stack . |
org.anchoranalysis.image.inference.segment |
Non-beans pertaining to segmentation of images via model inference.
|
org.anchoranalysis.plugin.onnx.bean.object.segment.decode.instance.maskrcnn |
Decodes the outputted tensors from a Mask
R-CNN implementation.
|
org.anchoranalysis.plugin.onnx.bean.object.segment.decode.instance.text |
Decodes the outputted tensors from text-segmentation models.
|
Modifier and Type | Method and Description |
---|---|
abstract List<LabelledWithConfidence<MultiScaleObject>> |
DecodeInstanceSegmentation.decode(List<T> inferenceOutput,
ImageInferenceContext context)
Decodes the output tensors from inference into
ObjectMask s with confidence and
labels. |
Modifier and Type | Method and Description |
---|---|
static <T,S> MultiScaleObject |
MultiScaleObject.extractFrom(DualScale<T> dual1,
DualScale<S> dual2,
java.util.function.BiFunction<T,S,ObjectMask> extractObject)
|
static <T> MultiScaleObject |
MultiScaleObject.extractFrom(DualScale<T> dual,
java.util.function.Function<T,ObjectMask> extractObject)
|
Modifier and Type | Method and Description |
---|---|
Optional<WithConfidence<MultiScaleObject>> |
SegmentedObjects.highestConfidence()
The object-mask with the highest confidence.
|
Modifier and Type | Method and Description |
---|---|
List<LabelledWithConfidence<MultiScaleObject>> |
DecodeMaskRCNN.decode(List<ai.onnxruntime.OnnxTensor> inferenceOutput,
ImageInferenceContext context) |
Modifier and Type | Method and Description |
---|---|
List<LabelledWithConfidence<MultiScaleObject>> |
DecodeEAST.decode(List<ai.onnxruntime.OnnxTensor> inferenceOutput,
ImageInferenceContext context) |
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.