| OpenCV 5.0.0alpha Open Source Computer Vision

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Public Member Functions | List of all members
cv::optflow::PCAPrior Class Reference
Optical Flow Algorithms

This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand. More...

`#include <opencv2/optflow/pcaflow.hpp>`

Collaboration diagram for cv::optflow::PCAPrior:

## Public Member Functions
| PCAPrior (const char *pathToPrior)
void | fillConstraints (float *A1, float *A2, float *b1, float *b2) const
int | getBasisSize () const
int | getPadding () const

## Detailed Description

This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand.

## Constructor & Destructor Documentation

## ◆ PCAPrior()

cv::optflow::PCAPrior::PCAPrior | ( | const char * | pathToPrior | ) |

## Member Function Documentation

## ◆ fillConstraints()

void cv::optflow::PCAPrior::fillConstraints | ( | float * | A1,
|  | float * | A2,
|  | float * | b1,
|  | float * | b2 ) const

## ◆ getBasisSize()

int cv::optflow::PCAPrior::getBasisSize | ( |  | ) | const
| inline

## ◆ getPadding()

int cv::optflow::PCAPrior::getPadding | ( |  | ) | const
| inline

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

- opencv2/optflow/pcaflow.hpp