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.
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#include <opencv2/optflow/pcaflow.hpp>
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.
◆ PCAPrior()
cv::optflow::PCAPrior::PCAPrior |
( |
const char * |
pathToPrior | ) |
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◆ fillConstraints()
void cv::optflow::PCAPrior::fillConstraints |
( |
float * |
A1, |
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float * |
A2, |
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float * |
b1, |
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float * |
b2 |
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) |
| const |
◆ getBasisSize()
int cv::optflow::PCAPrior::getBasisSize |
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| ) |
const |
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inline |
◆ getPadding()
int cv::optflow::PCAPrior::getPadding |
( |
| ) |
const |
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inline |
The documentation for this class was generated from the following file: