opticalflow.cpp
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#include <opencv2/video/tracking.hpp>
#include "openbr_internal.h"
using namespace cv;
namespace br
{
/*!
* \ingroup transforms
* \brief Gets a two-channel dense optical flow from two images
* \author Austin Blanton \cite imaus10
*/
class OpticalFlowTransform : public UntrainableTransform
{
Q_OBJECT
// these defaults are optimized for KTH
Q_PROPERTY(double pyr_scale READ get_pyr_scale WRITE set_pyr_scale RESET reset_pyr_scale STORE false)
Q_PROPERTY(int levels READ get_levels WRITE set_levels RESET reset_levels STORE false)
Q_PROPERTY(int winsize READ get_winsize WRITE set_winsize RESET reset_winsize STORE false)
Q_PROPERTY(int iterations READ get_iterations WRITE set_iterations RESET reset_iterations STORE false)
Q_PROPERTY(int poly_n READ get_poly_n WRITE set_poly_n RESET reset_poly_n STORE false)
Q_PROPERTY(double poly_sigma READ get_poly_sigma WRITE set_poly_sigma RESET reset_poly_sigma STORE false)
Q_PROPERTY(int flags READ get_flags WRITE set_flags RESET reset_flags STORE false)
BR_PROPERTY(double, pyr_scale, 0.1)
BR_PROPERTY(int, levels, 1)
BR_PROPERTY(int, winsize, 5)
BR_PROPERTY(int, iterations, 10)
BR_PROPERTY(int, poly_n, 7)
BR_PROPERTY(double, poly_sigma, 1.1)
BR_PROPERTY(int, flags, 0)
void project(const Template &src, Template &dst) const
{
// get the two images put there by AggregateFrames
Mat prevImg = src[0];
Mat nextImg = src[1];
Mat flow;
calcOpticalFlowFarneback(prevImg, nextImg, flow, pyr_scale, levels, winsize, iterations, poly_n, poly_sigma, flags);
dst += flow;
}
};
BR_REGISTER(Transform, OpticalFlowTransform)
} // namespace br
#include "opticalflow.moc"