org.bytedeco.opencv.opencv_features2d

Class BOWKMeansTrainer

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_features2d.BOWTrainer

org.bytedeco.opencv.opencv_features2d.BOWKMeansTrainer

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv")
 @NoOffset
 @Properties(inherit=opencv_features2d.class)
public class BOWKMeansTrainer
extends BOWTrainer

\brief kmeans -based class to train visual vocabulary using the *bag of visual words* approach. :

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
BOWKMeansTrainer(int clusterCount)
BOWKMeansTrainer(int clusterCount, TermCriteria termcrit, int attempts, int flags) \brief The constructor.
BOWKMeansTrainer(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
Mat	cluster() \overload
Mat	cluster(Mat descriptors) \brief Clusters train descriptors.

Methods inherited from class org.bytedeco.opencv.opencv_features2d.BOWTrainer

add, clear, descriptorsCount, getDescriptors

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

BOWKMeansTrainer

public BOWKMeansTrainer(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

BOWKMeansTrainer

public BOWKMeansTrainer(int clusterCount,
                        @Const @ByRef(nullValue="cv::TermCriteria()")
                        TermCriteria termcrit,
                        int attempts,
                        int flags)

\brief The constructor.

See Also:

cv::kmeans

BOWKMeansTrainer

public BOWKMeansTrainer(int clusterCount)

Method Detail

cluster

@ByVal
public Mat cluster()

Description copied from class: BOWTrainer

\overload

Overrides:

cluster in class BOWTrainer

cluster

@ByVal
public Mat cluster(@Const @ByRef
                          Mat descriptors)

Description copied from class: BOWTrainer

\brief Clusters train descriptors.

Overrides:

cluster in class BOWTrainer

Parameters:

descriptors - Descriptors to cluster. Each row of the descriptors matrix is a descriptor. Descriptors are not added to the inner train descriptor set.

The vocabulary consists of cluster centers. So, this method returns the vocabulary. In the first variant of the method, train descriptors stored in the object are clustered. In the second variant, input descriptors are clustered.