org.bytedeco.opencv.opencv_tracking

Class TrackerKCF.Params

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_tracking.TrackerKCF.Params

All Implemented Interfaces:

AutoCloseable

Enclosing class:

TrackerKCF

@NoOffset
public static class TrackerKCF.Params
extends Pointer

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
Params() \brief Constructor
Params(long size) Native array allocator.
Params(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
boolean	compress_feature() activate the pca method to compress the features
TrackerKCF.Params	compress_feature(boolean setter)
int	compressed_size() feature size after compression
TrackerKCF.Params	compressed_size(int setter)
int	desc_npca() non-compressed descriptors of TrackerKCF::MODE
TrackerKCF.Params	desc_npca(int setter)
int	desc_pca() compressed descriptors of TrackerKCF::MODE
TrackerKCF.Params	desc_pca(int setter)
float	detect_thresh() detection confidence threshold
TrackerKCF.Params	detect_thresh(float setter)
float	interp_factor() linear interpolation factor for adaptation
TrackerKCF.Params	interp_factor(float setter)
float	lambda() regularization
TrackerKCF.Params	lambda(float setter)
int	max_patch_size() threshold for the ROI size
TrackerKCF.Params	max_patch_size(int setter)
float	output_sigma_factor() spatial bandwidth (proportional to target)
TrackerKCF.Params	output_sigma_factor(float setter)
float	pca_learning_rate() compression learning rate
TrackerKCF.Params	pca_learning_rate(float setter)
TrackerKCF.Params	position(long position)
void	read(FileNode arg0) \brief Read parameters from a file
boolean	resize() activate the resize feature to improve the processing speed
TrackerKCF.Params	resize(boolean setter)
float	sigma() gaussian kernel bandwidth
TrackerKCF.Params	sigma(float setter)
boolean	split_coeff() split the training coefficients into two matrices
TrackerKCF.Params	split_coeff(boolean setter)
boolean	wrap_kernel() wrap around the kernel values
TrackerKCF.Params	wrap_kernel(boolean setter)
void	write(FileStorage arg0) \brief Write parameters to a file

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, 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

Params

public Params(Pointer p)

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

Params

public Params(long size)

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

Params

public Params()

\brief Constructor

Method Detail

position

public TrackerKCF.Params position(long position)

Overrides:

position in class Pointer

read

public void read(@Const @ByRef
                 FileNode arg0)

\brief Read parameters from a file

write

public void write(@ByRef
                  FileStorage arg0)

\brief Write parameters to a file

detect_thresh

public float detect_thresh()

detection confidence threshold

detect_thresh

public TrackerKCF.Params detect_thresh(float setter)

sigma

public float sigma()

gaussian kernel bandwidth

sigma

public TrackerKCF.Params sigma(float setter)

lambda

public float lambda()

regularization

lambda

public TrackerKCF.Params lambda(float setter)

interp_factor

public float interp_factor()

linear interpolation factor for adaptation

interp_factor

public TrackerKCF.Params interp_factor(float setter)

output_sigma_factor

public float output_sigma_factor()

spatial bandwidth (proportional to target)

output_sigma_factor

public TrackerKCF.Params output_sigma_factor(float setter)

pca_learning_rate

public float pca_learning_rate()

compression learning rate

pca_learning_rate

public TrackerKCF.Params pca_learning_rate(float setter)

resize

@Cast(value="bool")
public boolean resize()

activate the resize feature to improve the processing speed

resize

public TrackerKCF.Params resize(boolean setter)

split_coeff

@Cast(value="bool")
public boolean split_coeff()

split the training coefficients into two matrices

split_coeff

public TrackerKCF.Params split_coeff(boolean setter)

wrap_kernel

@Cast(value="bool")
public boolean wrap_kernel()

wrap around the kernel values

wrap_kernel

public TrackerKCF.Params wrap_kernel(boolean setter)

compress_feature

@Cast(value="bool")
public boolean compress_feature()

activate the pca method to compress the features

compress_feature

public TrackerKCF.Params compress_feature(boolean setter)

max_patch_size

public int max_patch_size()

threshold for the ROI size

max_patch_size

public TrackerKCF.Params max_patch_size(int setter)

compressed_size

public int compressed_size()

feature size after compression

compressed_size

public TrackerKCF.Params compressed_size(int setter)

desc_pca

public int desc_pca()

compressed descriptors of TrackerKCF::MODE

desc_pca

public TrackerKCF.Params desc_pca(int setter)

desc_npca

public int desc_npca()

non-compressed descriptors of TrackerKCF::MODE

desc_npca

public TrackerKCF.Params desc_npca(int setter)