org.bytedeco.javacpp

Class opencv_tracking.TrackerMedianFlow.Params

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_tracking.TrackerMedianFlow.Params

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_tracking.TrackerMedianFlow

@NoOffset
public static class opencv_tracking.TrackerMedianFlow.Params
extends org.bytedeco.javacpp.Pointer

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
Params() default constructor note that the default values of parameters are recommended for most of use cases
Params(long size) Native array allocator.
Params(org.bytedeco.javacpp.Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
int	maxLevel() maximal pyramid level number for Lucas-Kanade optical flow
opencv_tracking.TrackerMedianFlow.Params	maxLevel(int maxLevel)
double	maxMedianLengthOfDisplacementDifference() criterion for loosing the tracked object
opencv_tracking.TrackerMedianFlow.Params	maxMedianLengthOfDisplacementDifference(double maxMedianLengthOfDisplacementDifference)
int	pointsInGrid() square root of number of keypoints used; increase it to trade accurateness for speed
opencv_tracking.TrackerMedianFlow.Params	pointsInGrid(int pointsInGrid)
opencv_tracking.TrackerMedianFlow.Params	position(long position)
void	read(opencv_core.FileNode arg0)
opencv_core.TermCriteria	termCriteria() termination criteria for Lucas-Kanade optical flow
opencv_tracking.TrackerMedianFlow.Params	termCriteria(opencv_core.TermCriteria termCriteria)
opencv_core.Size	winSize() window size parameter for Lucas-Kanade optical flow
opencv_tracking.TrackerMedianFlow.Params	winSize(opencv_core.Size winSize)
opencv_core.Size	winSizeNCC() window size around a point for normalized cross-correlation check
opencv_tracking.TrackerMedianFlow.Params	winSizeNCC(opencv_core.Size winSizeNCC)
void	write(opencv_core.FileStorage arg0)

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, 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

Params

public Params(org.bytedeco.javacpp.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()

default constructor note that the default values of parameters are recommended for most of use cases

Method Detail

position

public opencv_tracking.TrackerMedianFlow.Params position(long position)

Overrides:

position in class org.bytedeco.javacpp.Pointer

pointsInGrid

public int pointsInGrid()

square root of number of keypoints used; increase it to trade accurateness for speed

pointsInGrid

public opencv_tracking.TrackerMedianFlow.Params pointsInGrid(int pointsInGrid)

winSize

@ByRef
public opencv_core.Size winSize()

window size parameter for Lucas-Kanade optical flow

winSize

public opencv_tracking.TrackerMedianFlow.Params winSize(opencv_core.Size winSize)

maxLevel

public int maxLevel()

maximal pyramid level number for Lucas-Kanade optical flow

maxLevel

public opencv_tracking.TrackerMedianFlow.Params maxLevel(int maxLevel)

termCriteria

@ByRef
public opencv_core.TermCriteria termCriteria()

termination criteria for Lucas-Kanade optical flow

termCriteria

public opencv_tracking.TrackerMedianFlow.Params termCriteria(opencv_core.TermCriteria termCriteria)

winSizeNCC

@ByRef
public opencv_core.Size winSizeNCC()

window size around a point for normalized cross-correlation check

winSizeNCC

public opencv_tracking.TrackerMedianFlow.Params winSizeNCC(opencv_core.Size winSizeNCC)

maxMedianLengthOfDisplacementDifference

public double maxMedianLengthOfDisplacementDifference()

criterion for loosing the tracked object

maxMedianLengthOfDisplacementDifference

public opencv_tracking.TrackerMedianFlow.Params maxMedianLengthOfDisplacementDifference(double maxMedianLengthOfDisplacementDifference)

read

public void read(@Const @ByRef
                 opencv_core.FileNode arg0)

write

public void write(@ByRef
                  opencv_core.FileStorage arg0)