Class cv::SparsePyrLKOpticalFlow#

Class used for calculating a sparse optical flow. View details

#include <opencv2/video/tracking.hpp>

Collaboration diagram for cv::SparsePyrLKOpticalFlow:

Public Member Functions#

Public Member Functions inherited from cv::SparseOpticalFlow

Return	Name	Description
`void`	`calc(` `InputArray prevImg,` `InputArray nextImg,` `InputArray prevPts,` `InputOutputArray nextPts,` `OutputArray status,` `OutputArray err = cv::noArray() )`	Calculates a sparse optical flow.

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

Detailed Description#

Class used for calculating a sparse optical flow.

The class can calculate an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.

Member Function Documentation#

getFlags()#

int cv::SparsePyrLKOpticalFlow::getFlags()

Python:

cv.SparsePyrLKOpticalFlow.getFlags() -> retval

getMaxLevel()#

int cv::SparsePyrLKOpticalFlow::getMaxLevel()

Python:

cv.SparsePyrLKOpticalFlow.getMaxLevel() -> retval

getMinEigThreshold()#

double cv::SparsePyrLKOpticalFlow::getMinEigThreshold()

Python:

cv.SparsePyrLKOpticalFlow.getMinEigThreshold() -> retval

getTermCriteria()#

TermCriteria cv::SparsePyrLKOpticalFlow::getTermCriteria()

Python:

cv.SparsePyrLKOpticalFlow.getTermCriteria() -> retval

getWinSize()#

Size cv::SparsePyrLKOpticalFlow::getWinSize()

Python:

cv.SparsePyrLKOpticalFlow.getWinSize() -> retval

setFlags()#

void cv::SparsePyrLKOpticalFlow::setFlags(int flags)

Python:

cv.SparsePyrLKOpticalFlow.setFlags(flags)

setMaxLevel()#

void cv::SparsePyrLKOpticalFlow::setMaxLevel(int maxLevel)

Python:

cv.SparsePyrLKOpticalFlow.setMaxLevel(maxLevel)

setMinEigThreshold()#

void cv::SparsePyrLKOpticalFlow::setMinEigThreshold(double minEigThreshold)

Python:

cv.SparsePyrLKOpticalFlow.setMinEigThreshold(minEigThreshold)

setTermCriteria()#

void cv::SparsePyrLKOpticalFlow::setTermCriteria(TermCriteria & crit)

Python:

cv.SparsePyrLKOpticalFlow.setTermCriteria(crit)

setWinSize()#

void cv::SparsePyrLKOpticalFlow::setWinSize(Size winSize)

Python:

cv.SparsePyrLKOpticalFlow.setWinSize(winSize)

create()#

static Ptr< SparsePyrLKOpticalFlow > cv::SparsePyrLKOpticalFlow::create(
Size winSize = Size(21, 21),
int maxLevel = 3,
TermCriteria crit = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01),
int flags = 0,
double minEigThreshold = 1e-4 )

Python:

cv.SparsePyrLKOpticalFlow.create([, winSize[, maxLevel[, crit[, flags[, minEigThreshold]]]]]) -> retval

cv.SparsePyrLKOpticalFlow_create([, winSize[, maxLevel[, crit[, flags[, minEigThreshold]]]]]) -> retval

Source file#

The documentation for this class was generated from the following file:

opencv2/video/tracking.hpp