HxNvr/resources/libraries/opencv/include/opencv2/reg/mapprojec.hpp
2024-02-01 18:28:27 +08:00

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/*M///////////////////////////////////////////////////////////////////////////////////////
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#ifndef MAPPROJEC_H_
#define MAPPROJEC_H_
#include "map.hpp"
namespace cv {
namespace reg {
//! @addtogroup reg
//! @{
/*!
* Defines an transformation that consists on a projective transformation
*/
class CV_EXPORTS_W MapProjec : public Map
{
public:
/*!
* Default constructor builds an identity map
*/
CV_WRAP MapProjec();
/*!
* Constructor providing explicit values
* \param[in] projTr Projective transformation
*/
CV_WRAP MapProjec(InputArray projTr);
/*!
* Destructor
*/
~MapProjec();
CV_WRAP void inverseWarp(InputArray img1, OutputArray img2) const CV_OVERRIDE;
CV_WRAP cv::Ptr<Map> inverseMap() const CV_OVERRIDE;
CV_WRAP void compose(cv::Ptr<Map> map) CV_OVERRIDE;
CV_WRAP void scale(double factor) CV_OVERRIDE;
/*!
* Returns projection matrix
* \return Projection matrix
*/
const cv::Matx<double, 3, 3>& getProjTr() const {
return projTr_;
}
CV_WRAP void getProjTr(OutputArray projTr) const {
Mat(projTr_).copyTo(projTr);
}
/*!
* Normalizes object's homography
*/
CV_WRAP void normalize() {
double z = 1./projTr_(2, 2);
for(size_t v_i = 0; v_i < sizeof(projTr_.val)/sizeof(projTr_.val[0]); ++v_i)
projTr_.val[v_i] *= z;
}
private:
cv::Matx<double, 3, 3> projTr_; /*< Projection matrix */
};
//! @}
}} // namespace cv::reg
#endif // MAPPROJEC_H_