org.bytedeco.javacpp

Class opencv_features2d.BOWTrainer

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_features2d.BOWTrainer

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

opencv_features2d.BOWKMeansTrainer

Enclosing class:

opencv_features2d

@Namespace(value="cv")
 @NoOffset
public static class opencv_features2d.BOWTrainer
extends org.bytedeco.javacpp.Pointer

\addtogroup features2d_category /** \{

/** \brief Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors.

For details, see, for example, *Visual Categorization with Bags of Keypoints* by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cedric Bray, 2004. :

Nested Class Summary

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

org.bytedeco.javacpp.Pointer.CustomDeallocator, org.bytedeco.javacpp.Pointer.Deallocator, org.bytedeco.javacpp.Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
BOWTrainer(org.bytedeco.javacpp.Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
void	add(opencv_core.Mat descriptors) \brief Adds descriptors to a training set.
void	clear()
opencv_core.Mat	cluster() \overload
opencv_core.Mat	cluster(opencv_core.Mat descriptors) \brief Clusters train descriptors.
int	descriptorsCount() \brief Returns the count of all descriptors stored in the training set.
opencv_core.MatVector	getDescriptors() \brief Returns a training set of descriptors.

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, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

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

Constructor Detail

BOWTrainer

public BOWTrainer(org.bytedeco.javacpp.Pointer p)

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

Method Detail

add

public void add(@Const @ByRef
                opencv_core.Mat descriptors)

\brief Adds descriptors to a training set.

Parameters:

descriptors - Descriptors to add to a training set. Each row of the descriptors matrix is a descriptor.

The training set is clustered using clustermethod to construct the vocabulary.

getDescriptors

@Const
 @ByRef
public opencv_core.MatVector getDescriptors()

\brief Returns a training set of descriptors.

descriptorsCount

public int descriptorsCount()

\brief Returns the count of all descriptors stored in the training set.

clear

public void clear()

cluster

@ByVal
public opencv_core.Mat cluster()

\overload

cluster

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

\brief Clusters train descriptors.

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.