org.bytedeco.javacpp

Class opencv_core.LDA

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_core.LDA

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_core

@Namespace(value="cv")
 @NoOffset
public static class opencv_core.LDA
extends Pointer

\brief Linear Discriminant Analysis \todo document this class

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
LDA()
LDA(int num_components) \brief constructor Initializes a LDA with num_components (default 0).
LDA(long size) Native array allocator.
LDA(opencv_core.MatVector src, opencv_core.Mat labels)
LDA(opencv_core.MatVector src, opencv_core.Mat labels, int num_components) Initializes and performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels.
LDA(opencv_core.MatVector src, opencv_core.UMat labels)
LDA(opencv_core.MatVector src, opencv_core.UMat labels, int num_components)
LDA(opencv_core.UMatVector src, opencv_core.Mat labels)
LDA(opencv_core.UMatVector src, opencv_core.Mat labels, int num_components)
LDA(opencv_core.UMatVector src, opencv_core.UMat labels)
LDA(opencv_core.UMatVector src, opencv_core.UMat labels, int num_components)
LDA(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
void	compute(opencv_core.MatVector src, opencv_core.Mat labels) Compute the discriminants for data in src (row aligned) and labels.
void	compute(opencv_core.MatVector src, opencv_core.UMat labels)
void	compute(opencv_core.UMatVector src, opencv_core.Mat labels)
void	compute(opencv_core.UMatVector src, opencv_core.UMat labels)
opencv_core.Mat	eigenvalues() Returns the eigenvalues of this LDA.
opencv_core.Mat	eigenvectors() Returns the eigenvectors of this LDA.
void	load(BytePointer filename) Deserializes this object from a given filename.
void	load(opencv_core.FileStorage node) Deserializes this object from a given cv::FileStorage.
void	load(String filename)
opencv_core.LDA	position(long position)
opencv_core.Mat	project(opencv_core.Mat src) Projects samples into the LDA subspace.
opencv_core.Mat	project(opencv_core.UMat src)
opencv_core.Mat	reconstruct(opencv_core.Mat src) Reconstructs projections from the LDA subspace.
opencv_core.Mat	reconstruct(opencv_core.UMat src)
void	save(BytePointer filename) Serializes this object to a given filename.
void	save(opencv_core.FileStorage fs) Serializes this object to a given cv::FileStorage.
void	save(String filename)
static opencv_core.Mat	subspaceProject(opencv_core.Mat W, opencv_core.Mat mean, opencv_core.Mat src)
static opencv_core.Mat	subspaceProject(opencv_core.UMat W, opencv_core.UMat mean, opencv_core.UMat src)
static opencv_core.Mat	subspaceReconstruct(opencv_core.Mat W, opencv_core.Mat mean, opencv_core.Mat src)
static opencv_core.Mat	subspaceReconstruct(opencv_core.UMat W, opencv_core.UMat mean, opencv_core.UMat src)

Methods inherited from class org.bytedeco.javacpp.Pointer

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

Methods inherited from class java.lang.Object

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

Constructor Detail

LDA

public LDA(Pointer p)

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

LDA

public LDA(long size)

Native array allocator. Access with Pointer.position(long).

LDA

public LDA(int num_components)

\brief constructor Initializes a LDA with num_components (default 0).

LDA

public LDA()

LDA

public LDA(@ByVal
           opencv_core.MatVector src,
           @ByVal
           opencv_core.Mat labels,
           int num_components)

Initializes and performs a Discriminant Analysis with Fisher's Optimization Criterion on given data in src and corresponding labels in labels. If 0 (or less) number of components are given, they are automatically determined for given data in computation.

LDA

public LDA(@ByVal
           opencv_core.MatVector src,
           @ByVal
           opencv_core.Mat labels)

LDA

public LDA(@ByVal
           opencv_core.UMatVector src,
           @ByVal
           opencv_core.Mat labels,
           int num_components)

LDA

public LDA(@ByVal
           opencv_core.UMatVector src,
           @ByVal
           opencv_core.Mat labels)

LDA

public LDA(@ByVal
           opencv_core.MatVector src,
           @ByVal
           opencv_core.UMat labels,
           int num_components)

LDA

public LDA(@ByVal
           opencv_core.MatVector src,
           @ByVal
           opencv_core.UMat labels)

LDA

public LDA(@ByVal
           opencv_core.UMatVector src,
           @ByVal
           opencv_core.UMat labels,
           int num_components)

LDA

public LDA(@ByVal
           opencv_core.UMatVector src,
           @ByVal
           opencv_core.UMat labels)

Method Detail

position

public opencv_core.LDA position(long position)

Overrides:

position in class Pointer

save

public void save(@opencv_core.Str
                 BytePointer filename)

Serializes this object to a given filename.

save

public void save(@opencv_core.Str
                 String filename)

load

public void load(@opencv_core.Str
                 BytePointer filename)

Deserializes this object from a given filename.

load

public void load(@opencv_core.Str
                 String filename)

save

public void save(@ByRef
                 opencv_core.FileStorage fs)

Serializes this object to a given cv::FileStorage.

load

public void load(@Const @ByRef
                 opencv_core.FileStorage node)

Deserializes this object from a given cv::FileStorage.

compute

public void compute(@ByVal
                    opencv_core.MatVector src,
                    @ByVal
                    opencv_core.Mat labels)

Compute the discriminants for data in src (row aligned) and labels.

compute

public void compute(@ByVal
                    opencv_core.UMatVector src,
                    @ByVal
                    opencv_core.Mat labels)

compute

public void compute(@ByVal
                    opencv_core.MatVector src,
                    @ByVal
                    opencv_core.UMat labels)

compute

public void compute(@ByVal
                    opencv_core.UMatVector src,
                    @ByVal
                    opencv_core.UMat labels)

project

@ByVal
public opencv_core.Mat project(@ByVal
                                      opencv_core.Mat src)

Projects samples into the LDA subspace. src may be one or more row aligned samples.

project

@ByVal
public opencv_core.Mat project(@ByVal
                                      opencv_core.UMat src)

reconstruct

@ByVal
public opencv_core.Mat reconstruct(@ByVal
                                          opencv_core.Mat src)

Reconstructs projections from the LDA subspace. src may be one or more row aligned projections.

reconstruct

@ByVal
public opencv_core.Mat reconstruct(@ByVal
                                          opencv_core.UMat src)

eigenvectors

@ByVal
public opencv_core.Mat eigenvectors()

Returns the eigenvectors of this LDA.

eigenvalues

@ByVal
public opencv_core.Mat eigenvalues()

Returns the eigenvalues of this LDA.

subspaceProject

@ByVal
public static opencv_core.Mat subspaceProject(@ByVal
                                                     opencv_core.Mat W,
                                                     @ByVal
                                                     opencv_core.Mat mean,
                                                     @ByVal
                                                     opencv_core.Mat src)

subspaceProject

@ByVal
public static opencv_core.Mat subspaceProject(@ByVal
                                                     opencv_core.UMat W,
                                                     @ByVal
                                                     opencv_core.UMat mean,
                                                     @ByVal
                                                     opencv_core.UMat src)

subspaceReconstruct

@ByVal
public static opencv_core.Mat subspaceReconstruct(@ByVal
                                                         opencv_core.Mat W,
                                                         @ByVal
                                                         opencv_core.Mat mean,
                                                         @ByVal
                                                         opencv_core.Mat src)

subspaceReconstruct

@ByVal
public static opencv_core.Mat subspaceReconstruct(@ByVal
                                                         opencv_core.UMat W,
                                                         @ByVal
                                                         opencv_core.UMat mean,
                                                         @ByVal
                                                         opencv_core.UMat src)