Class cv::cuda::SparseOpticalFlow#

Base interface for sparse optical flow algorithms.

#include <opencv2/cudaoptflow.hpp>

Collaboration diagram for cv::cuda::SparseOpticalFlow:

Public Member Functions#

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 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.

Base interface for sparse optical flow algorithms.

void cv::cuda::SparseOpticalFlow::calc(
InputArray prevImg,
InputArray nextImg,
InputArray prevPts,
InputOutputArray nextPts,
OutputArray status,
OutputArray err = cv::noArray(),
Stream & stream = Stream::Null() )

Calculates a sparse optical flow.

Parameters

prevImg — First input image.
nextImg — Second input image of the same size and the same type as prevImg.
prevPts — Vector of 2D points for which the flow needs to be found.
nextPts — Output vector of 2D points containing the calculated new positions of input features in the second image.
status — Output status vector. Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
err — Optional output vector that contains error response for each point (inverse confidence).
stream — Stream for the asynchronous version.

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