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Merge pull request #18012 from sturkmen72:update_doc_and_sample
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@ -2263,7 +2263,7 @@ CV_EXPORTS_W void warpAffine( InputArray src, OutputArray dst,
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const Scalar& borderValue = Scalar());
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/** @example samples/cpp/warpPerspective_demo.cpp
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An example program shows using cv::findHomography and cv::warpPerspective for image warping
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An example program shows using cv::getPerspectiveTransform and cv::warpPerspective for image warping
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*/
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/** @brief Applies a perspective transformation to an image.
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@ -8,7 +8,6 @@
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#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/calib3d.hpp"
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#include <iostream>
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using namespace std;
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@ -36,6 +35,7 @@ Mat warping(Mat image, Size warped_image_size, vector< Point2f> srcPoints, vecto
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String windowTitle = "Perspective Transformation Demo";
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String labels[4] = { "TL","TR","BR","BL" };
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vector< Point2f> roi_corners;
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vector< Point2f> midpoints(4);
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vector< Point2f> dst_corners(4);
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int roiIndex = 0;
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bool dragging;
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@ -99,21 +99,26 @@ int main(int argc, char** argv)
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imshow( windowTitle, image );
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midpoints[0] = (roi_corners[0] + roi_corners[1]) / 2;
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midpoints[1] = (roi_corners[1] + roi_corners[2]) / 2;
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midpoints[2] = (roi_corners[2] + roi_corners[3]) / 2;
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midpoints[3] = (roi_corners[3] + roi_corners[0]) / 2;
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dst_corners[0].x = 0;
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dst_corners[0].y = 0;
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dst_corners[1].x = (float)std::max(norm(roi_corners[0] - roi_corners[1]), norm(roi_corners[2] - roi_corners[3]));
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dst_corners[1].x = (float)norm(midpoints[1] - midpoints[3]);
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dst_corners[1].y = 0;
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dst_corners[2].x = (float)std::max(norm(roi_corners[0] - roi_corners[1]), norm(roi_corners[2] - roi_corners[3]));
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dst_corners[2].y = (float)std::max(norm(roi_corners[1] - roi_corners[2]), norm(roi_corners[3] - roi_corners[0]));
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dst_corners[2].x = dst_corners[1].x;
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dst_corners[2].y = (float)norm(midpoints[0] - midpoints[2]);
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dst_corners[3].x = 0;
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dst_corners[3].y = (float)std::max(norm(roi_corners[1] - roi_corners[2]), norm(roi_corners[3] - roi_corners[0]));
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dst_corners[3].y = dst_corners[2].y;
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Size warped_image_size = Size(cvRound(dst_corners[2].x), cvRound(dst_corners[2].y));
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Mat H = findHomography(roi_corners, dst_corners); //get homography
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Mat M = getPerspectiveTransform(roi_corners, dst_corners);
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Mat warped_image;
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warpPerspective(original_image, warped_image, H, warped_image_size); // do perspective transformation
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warpPerspective(original_image, warped_image, M, warped_image_size); // do perspective transformation
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imshow("Warped Image", warped_image);
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}
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