org.bytedeco.javacpp

Class opencv_features2d.BOWKMeansTrainer

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_features2d.BOWTrainer

org.bytedeco.javacpp.opencv_features2d.BOWKMeansTrainer

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_features2d

@Namespace(value="cv")
@NoOffset
public static class opencv_features2d.BOWKMeansTrainer
extends opencv_features2d.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

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
opencv_features2d.BOWKMeansTrainer(int clusterCount)
opencv_features2d.BOWKMeansTrainer(int clusterCount, opencv_core.TermCriteria termcrit, int attempts, int flags) \brief The constructor.
opencv_features2d.BOWKMeansTrainer(Pointer p) Pointer cast constructor.

Method Summary

Methods

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

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

add, clear, descriptorsCount, getDescriptors

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, hashCode, isNull, limit, limit, maxBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, position, position, put, setNull, sizeof, toString, totalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

opencv_features2d.BOWKMeansTrainer

public opencv_features2d.BOWKMeansTrainer(Pointer p)

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

opencv_features2d.BOWKMeansTrainer

public opencv_features2d.BOWKMeansTrainer(int clusterCount,
                                  @Const@ByRef(nullValue="cv::TermCriteria()")
                                  opencv_core.TermCriteria termcrit,
                                  int attempts,
                                  int flags)

\brief The constructor.

See Also:

cv::kmeans

opencv_features2d.BOWKMeansTrainer

public opencv_features2d.BOWKMeansTrainer(int clusterCount)

Method Detail

cluster

@ByVal
public opencv_core.Mat cluster()

Description copied from class: opencv_features2d.BOWTrainer

\overload

Overrides:

cluster in class opencv_features2d.BOWTrainer

cluster

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

Description copied from class: opencv_features2d.BOWTrainer

\brief Clusters train descriptors.

Overrides:

cluster in class opencv_features2d.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.