Modifier and Type | Class and Description |
---|---|
class |
Define<T extends FeatureInput>
Specifies a list of features directly without assigning any custom-naming.
|
class |
DefinedNamed<T extends FeatureInput>
Specifies features via a list of names and associated with features.
|
class |
DefineSingle<T extends FeatureInput>
Specifies a single feature directly without assigning any custom-naming.
|
class |
PrependName
Prepends a string to the custom-name of each feature in a list.
|
class |
ReferencingFeatureListProvider<T extends FeatureInput>
A base class for implementations of
FeatureListProvider that may reference features
created elsewhere. |
Modifier and Type | Method and Description |
---|---|
FeatureListProvider<FeatureInput> |
PrependName.getItem()
Provides the features and names before any prepending.
|
Modifier and Type | Method and Description |
---|---|
List<NamedBean<FeatureListProvider<T>>> |
DefinedNamed.getList()
A list of
FeatureListProvider s with an associated name. |
Modifier and Type | Method and Description |
---|---|
void |
PrependName.setItem(FeatureListProvider<FeatureInput> item)
Provides the features and names before any prepending.
|
Modifier and Type | Method and Description |
---|---|
void |
DefinedNamed.setList(List<NamedBean<FeatureListProvider<T>>> list)
A list of
FeatureListProvider s with an associated name. |
Modifier and Type | Method and Description |
---|---|
void |
FeatureRelatedInitialization.populate(List<NamedBean<FeatureListProvider<FeatureInput>>> namedProviders,
Logger logger)
Adds features into the shared-feature storage from a list of named-beans.
|
Modifier and Type | Method and Description |
---|---|
<T extends FeatureInput> |
NamedFeatureStoreFactory.createNamedFeatureList(List<NamedBean<FeatureListProvider<T>>> namedFeatures)
Create a
NamedFeatureStore from a list of beans. |
Modifier and Type | Method and Description |
---|---|
FeatureListProvider<FeatureInputAllMemo> |
EnergySchemeCreatorByElement.getElemAllCreator() |
FeatureListProvider<FeatureInputSingleMemo> |
EnergySchemeCreatorByElement.getElemIndCreator() |
FeatureListProvider<FeatureInputPairMemo> |
EnergySchemeCreatorByElement.getElemPairCreator() |
Modifier and Type | Method and Description |
---|---|
List<NamedBean<FeatureListProvider<FeatureInputStack>>> |
EnergySchemeCreatorByElement.getListImageFeatures() |
Modifier and Type | Method and Description |
---|---|
void |
EnergySchemeCreatorByElement.setElemAllCreator(FeatureListProvider<FeatureInputAllMemo> elemAllCreator) |
void |
EnergySchemeCreatorByElement.setElemIndCreator(FeatureListProvider<FeatureInputSingleMemo> elemIndCreator) |
void |
EnergySchemeCreatorByElement.setElemPairCreator(FeatureListProvider<FeatureInputPairMemo> elemPairCreator) |
Modifier and Type | Method and Description |
---|---|
void |
EnergySchemeCreatorByElement.setListImageFeatures(List<NamedBean<FeatureListProvider<FeatureInputStack>>> listImageFeatures) |
Modifier and Type | Class and Description |
---|---|
class |
IntensityMoments
Calculate various moment-related statistics about the intensity of each channel of an image.
|
Modifier and Type | Class and Description |
---|---|
class |
DeriveFromPair
Embeds each feature in a
FeatureDeriveFromPair feature (first, second or
merge) and prepends with a string. |
class |
FeatureListProviderAggregatePair
Calculates features on each part of a pair (first, second, merged etc.) and then reduces the
calculation to a single number.
|
class |
ReduceFirstAndSecond
Calculates the aggregate of a feature applied to both the first and second objects in a
FeatureInputPairObjects . |
class |
ReduceRatioFirstAndSecond
Calculates the aggregate of the ratio of
first :second and second
:first for a FeatureInputPairObjects |
class |
SubtractReducedFromMerged
Calculates
merged - reduce(first,second) for a FeatureInputPairObjects |
Modifier and Type | Method and Description |
---|---|
FeatureListProvider<FeatureInputSingleObject> |
DeriveFromPair.getItem() |
FeatureListProvider<FeatureInputSingleObject> |
FeatureListProviderAggregatePair.getItem()
For each feature in the list, a corresponding aggregate feature is created in the
output list.
|
Modifier and Type | Method and Description |
---|---|
void |
DeriveFromPair.setItem(FeatureListProvider<FeatureInputSingleObject> item) |
void |
FeatureListProviderAggregatePair.setItem(FeatureListProvider<FeatureInputSingleObject> item)
For each feature in the list, a corresponding aggregate feature is created in the
output list.
|
Modifier and Type | Class and Description |
---|---|
class |
PermuteDivideByParam<T extends FeatureInputDictionary>
Similar to FeatureListProviderPermute but embeds the feature in a GaussianScore
|
class |
PermuteFeature<S,T extends FeatureInput>
Permutes one or more properties of a Feature, so as to create a set of Features
|
class |
PermuteFeatureBase<T extends FeatureInput>
Creates permutations of a feature by modifying a particular property of it in different ways.
|
class |
PermuteFeatureSequenceInteger<T extends FeatureInputDictionary>
Permutes a property on a feature with a sequence of integers.
|
class |
PermuteFirstSecondOrder<T extends FeatureInputDictionary> |
class |
PermuteGaussianScore<T extends FeatureInputDictionary>
Similar to FeatureListProviderPermute but embeds the feature in a GaussianScore
|
class |
PermuteZScore<T extends FeatureInputDictionary>
Similar to FeatureListProviderPermute but embeds the feature in a GaussianScore
|
Modifier and Type | Method and Description |
---|---|
List<NamedBean<FeatureListProvider<FeatureInputStack>>> |
PairNeighbors.getFeaturesImage()
Additional features that only depend on the image, so do not need to be replicated for every
object.
|
List<NamedBean<FeatureListProvider<FeatureInputPairObjects>>> |
PairNeighbors.getFeaturesPair()
Additional features that are processed on the pair of images (i.e.
|
Modifier and Type | Method and Description |
---|---|
FeatureTableCalculator<FeatureInputPairObjects> |
PairNeighbors.createFeatures(List<NamedBean<FeatureListProvider<FeatureInputSingleObject>>> list,
NamedFeatureStoreFactory storeFactory,
boolean suppressErrors) |
FeatureTableCalculator<FeatureInputSingleObject> |
EachObjectIndependently.createFeatures(List<NamedBean<FeatureListProvider<FeatureInputSingleObject>>> list,
NamedFeatureStoreFactory storeFactory,
boolean suppressErrors) |
abstract FeatureTableCalculator<T> |
CombineObjectsForFeatures.createFeatures(List<NamedBean<FeatureListProvider<FeatureInputSingleObject>>> featuresSingleObject,
NamedFeatureStoreFactory storeFactory,
boolean suppressErrors)
Creates features that will be applied on the objects.
|
void |
PairNeighbors.setFeaturesImage(List<NamedBean<FeatureListProvider<FeatureInputStack>>> featuresImage)
Additional features that only depend on the image, so do not need to be replicated for every
object.
|
void |
PairNeighbors.setFeaturesPair(List<NamedBean<FeatureListProvider<FeatureInputPairObjects>>> featuresPair)
Additional features that are processed on the pair of images (i.e.
|
Modifier and Type | Method and Description |
---|---|
List<NamedBean<FeatureListProvider<U>>> |
ExportFeatures.getFeatures()
The features to be exported (after possibly some manipulation or augmentation).
|
List<NamedBean<FeatureListProvider<FeatureInputResults>>> |
ExportFeatures.getFeaturesAggregate()
Features applied to each group to aggregate values (accepting
FeatureInputResults ). |
Modifier and Type | Method and Description |
---|---|
void |
ExportFeatures.setFeatures(List<NamedBean<FeatureListProvider<U>>> features)
The features to be exported (after possibly some manipulation or augmentation).
|
void |
ExportFeatures.setFeaturesAggregate(List<NamedBean<FeatureListProvider<FeatureInputResults>>> featuresAggregate)
Features applied to each group to aggregate values (accepting
FeatureInputResults ). |
Modifier and Type | Method and Description |
---|---|
FeatureExporter<FeatureList<S>> |
SingleRowPerInput.createExporter(LabelHeaders metadataHeaders,
List<NamedBean<FeatureListProvider<S>>> features,
FeatureOutputNames outputNames,
Optional<InputGrouper> grouper,
FeatureExporterContext context) |
abstract FeatureExporter<S> |
FeatureSource.createExporter(LabelHeaders metadataHeaders,
List<NamedBean<FeatureListProvider<U>>> features,
FeatureOutputNames outputNames,
Optional<InputGrouper> grouper,
FeatureExporterContext context)
Creates the
FeatureExporter to be used for calculating and exporting feature-results. |
Modifier and Type | Method and Description |
---|---|
FeatureListProvider<FeatureInputStack> |
BinaryClassifierImageLabeller.getClassifierProvider() |
Modifier and Type | Method and Description |
---|---|
List<NamedBean<FeatureListProvider<FeatureInputStack>>> |
BinaryClassifierImageLabeller.getListFeatures() |
Modifier and Type | Method and Description |
---|---|
void |
BinaryClassifierImageLabeller.setClassifierProvider(FeatureListProvider<FeatureInputStack> classifierProvider) |
Modifier and Type | Method and Description |
---|---|
void |
BinaryClassifierImageLabeller.setListFeatures(List<NamedBean<FeatureListProvider<FeatureInputStack>>> listFeatures) |
Modifier and Type | Method and Description |
---|---|
List<NamedBean<FeatureListProvider<FeatureInputSingleObject>>> |
SegmentInstanceWithModel.getFeatures()
Features to calculate for objects in the features output.
|
Modifier and Type | Method and Description |
---|---|
void |
SegmentInstanceWithModel.setFeatures(List<NamedBean<FeatureListProvider<FeatureInputSingleObject>>> features)
Features to calculate for objects in the features output.
|
Modifier and Type | Method and Description |
---|---|
FeatureListProvider<FeatureInputStack> |
ExtractSlice.getScoreProvider() |
Modifier and Type | Method and Description |
---|---|
void |
ExtractSlice.setScoreProvider(FeatureListProvider<FeatureInputStack> scoreProvider) |
Modifier and Type | Method and Description |
---|---|
static <T extends FeatureInput> |
FeatureExporter.create(List<NamedBean<FeatureListProvider<T>>> features,
LabelHeaders metadataHeaders,
FeatureOutputNames outputNames,
Optional<InputGrouper> grouper,
FeatureExporterContext context)
Alternative static constructor that creates a shared-state from a list of named
FeatureListProvider s. |
Modifier and Type | Method and Description |
---|---|
FeatureCalculatorSingle<T> |
FeatureCalculatorFromProvider.calculatorSingleFromProvider(FeatureListProvider<T> provider,
String providerName)
Calculates a single-feature that comes from a provider (but can reference the other features
from the store)
|
Modifier and Type | Class and Description |
---|---|
class |
FeatureListProviderLDAClassifier<T extends FeatureInput> |
class |
FeatureListProviderSVMClassifier |
Modifier and Type | Method and Description |
---|---|
FeatureExporter<FeatureTableCalculator<T>> |
FromObjects.createExporter(LabelHeaders metadataHeaders,
List<NamedBean<FeatureListProvider<FeatureInputSingleObject>>> features,
FeatureOutputNames outputNames,
Optional<InputGrouper> grouper,
FeatureExporterContext context) |
Modifier and Type | Class and Description |
---|---|
class |
HOGDescriptor
Creates the entire HOG descriptor for an image.
|
Modifier and Type | Method and Description |
---|---|
static <T extends FeatureInput> |
FeaturesFromXmlFixture.createNamedFeatureProviders(String xmlPath,
TestLoader loader) |
Copyright © 2010–2023 Owen Feehan, ETH Zurich, University of Zurich, Hoffmann-La Roche. All rights reserved.