Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<String>> |
AudioAnnotator.annotate(DoubleFV object)
Generate annotations for the given object.
|
Modifier and Type | Method and Description |
---|---|
static Map<String,List<ScoredAnnotation<MMSys2013.QuestionResponse>>> |
MMSys2013.getAnnotationsQ1(GroupedDataset<String,ListDataset<MMSys2013.Response>,MMSys2013.Response> data)
For a given
GroupedDataset that represents the results from a
single category, returns a list of scored annotations for each group, for
question 1 (contains depication of category). |
static Map<String,List<ScoredAnnotation<MMSys2013.QuestionResponse>>> |
MMSys2013.getAnnotationsQ2(GroupedDataset<String,ListDataset<MMSys2013.Response>,MMSys2013.Response> data)
For a given
GroupedDataset that represents the results from a
single category, returns a list of scored annotations for each group, for
question 2 (is in category). |
Modifier and Type | Method and Description |
---|---|
ScoredAnnotation<PERSON> |
FaceRecogniser.annotateBest(FACE object)
Attempt to recognize the given face.
|
ScoredAnnotation<PERSON> |
FaceRecogniser.annotateBest(FACE object,
Collection<PERSON> restrict)
Attempt to recognize the given face, restricting the potential people to
coming from the given set.
|
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<PERSON>> |
AnnotatorFaceRecogniser.annotate(FACE object) |
abstract List<ScoredAnnotation<PERSON>> |
FaceRecogniser.annotate(FACE object)
Attempt to recognize the given face.
|
List<ScoredAnnotation<PERSON>> |
AnnotatorFaceRecogniser.annotate(FACE object,
Collection<PERSON> restrict) |
abstract List<ScoredAnnotation<PERSON>> |
FaceRecogniser.annotate(FACE object,
Collection<PERSON> restrict)
Attempt to recognize the given face, restricting the potential people to
coming from the given set.
|
List<IndependentPair<FACE,List<ScoredAnnotation<PERSON>>>> |
FaceRecognitionEngine.recognise(FImage image)
Detect and recognise the faces in the given image, returning a list of
potential people for each face.
|
List<IndependentPair<FACE,List<ScoredAnnotation<PERSON>>>> |
FaceRecognitionEngine.recognise(FImage image,
Set<PERSON> restrict)
Detect and recognise the faces in the given image, returning a list of
potential people for each face.
|
List<IndependentPair<FACE,ScoredAnnotation<PERSON>>> |
FaceRecognitionEngine.recogniseBest(FImage image)
Detect and recognise the faces in the given image, returning the most
likely person for each face.
|
List<IndependentPair<FACE,ScoredAnnotation<PERSON>>> |
FaceRecognitionEngine.recogniseBest(FImage image,
Set<PERSON> restrict)
Detect and recognise the faces in the given image, returning the most
likely person for each face.
|
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<ANNOTATION>> |
Annotator.annotate(OBJECT object)
Generate annotations for the given object.
|
List<ScoredAnnotation<ANNOTATION>> |
InstanceCachingIncrementalBatchAnnotator.annotate(OBJECT object) |
List<ScoredAnnotation<ANNOTATION>> |
FeatureCachingIncrementalBatchAnnotator.annotate(OBJECT object) |
List<ScoredAnnotation<ANNOTATION>> |
RestrictedAnnotator.annotate(OBJECT object,
Collection<ANNOTATION> restrict)
Generate annotations for the given object, restricting
the potential annotations to coming from the given set.
|
Modifier and Type | Method and Description |
---|---|
int |
ScoredAnnotation.compareTo(ScoredAnnotation<ANNOTATION> o) |
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<ANNOTATION>> |
UniformRandomAnnotator.annotate(OBJECT image) |
List<ScoredAnnotation<ANNOTATION>> |
KNNAnnotator.annotate(OBJECT object) |
List<ScoredAnnotation<ANNOTATION>> |
IndependentPriorRandomAnnotator.annotate(OBJECT image) |
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<ANNOTATION>> |
NaiveBayesAnnotator.annotate(OBJECT object) |
protected abstract <ANNOTATION> |
NaiveBayesAnnotator.Mode.getAnnotations(gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer<ANNOTATION,org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator.PDF> categorizer,
gov.sandia.cognition.math.matrix.Vector vec) |
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<ANNOTATION>> |
DenseLinearTransformAnnotator.annotate(OBJECT image) |
List<ScoredAnnotation<ANNOTATION>> |
LiblinearAnnotator.annotate(OBJECT object) |
List<ScoredAnnotation<ANNOTATION>> |
LinearSVMAnnotator.annotate(OBJECT object) |
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<ANNOTATION>> |
ModelAnnotator.annotate(OBJECT object) |
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<ANNOTATION>> |
SVMAnnotator.annotate(OBJECT object)
Generate annotations for the given object.
|
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<HashMap<String,Object>>> |
YagoEntityCandidateAnnotator.annotate(List<String> tokens) |
List<ScoredAnnotation<HashMap<String,Object>>> |
YagoEntityContextAnnotator.annotate(List<String> object) |
List<ScoredAnnotation<HashMap<String,Object>>> |
YagoEntityCompleteAnnotator.annotate(List<String> tokens) |
Modifier and Type | Method and Description |
---|---|
List<ScoredAnnotation<BipolarSentiment>> |
MPQATokenList.annotate(List<String> words) |
List<ScoredAnnotation<BipolarSentiment>> |
MPQAToken.annotate(String word) |