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cv::cuda::SparseOpticalFlow Class Referenceabstract
Base interface for sparse optical flow algorithms. More...
#include <opencv2/cudaoptflow.hpp>
Inheritance diagram for cv::cuda::SparseOpticalFlow:

Public Member Functions | |
virtual void | calc (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err=cv::noArray(), Stream &stream=Stream::Null())=0 |
Calculates a sparse optical flow. | |
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Algorithm () | |
virtual | ~Algorithm () |
virtual void | clear () |
Clears the algorithm state. | |
virtual bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. | |
virtual String | getDefaultName () const |
virtual void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage. | |
virtual void | save (const String &filename) const |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage. | |
void | write (FileStorage &fs, const String &name) const |
Additional Inherited Members | |
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template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. | |
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void | writeFormat (FileStorage &fs) const |
Detailed Description
Base interface for sparse optical flow algorithms.
Member Function Documentation
◆ calc()
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pure virtual |
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:
- opencv2/cudaoptflow.hpp