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Fix image loading in tutorials code #23442 Fixes https://github.com/opencv/opencv/issues/23378 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [X] I agree to contribute to the project under Apache 2 License. - [X] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [X] The PR is proposed to the proper branch - [X] There is a reference to the original bug report and related work - [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [X] The feature is well documented and sample code can be built with the project CMake
110 lines
3.5 KiB
C++
110 lines
3.5 KiB
C++
/**
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@file generalizedHoughTransform.cpp
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@author Markus Heck
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@brief Detects an object, given by a template, in an image using GeneralizedHoughBallard and GeneralizedHoughGuil.
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*/
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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using namespace cv;
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using namespace std;
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int main() {
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//! [generalized-hough-transform-load-and-setup]
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// load source image and grayscale template
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samples::addSamplesDataSearchSubDirectory("doc/tutorials/imgproc/generalized_hough_ballard_guil");
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Mat image = imread(samples::findFile("images/generalized_hough_mini_image.jpg"));
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Mat templ = imread(samples::findFile("images/generalized_hough_mini_template.jpg"), IMREAD_GRAYSCALE);
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// create grayscale image
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Mat grayImage;
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cvtColor(image, grayImage, COLOR_RGB2GRAY);
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// create variable for location, scale and rotation of detected templates
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vector<Vec4f> positionBallard, positionGuil;
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// template width and height
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int w = templ.cols;
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int h = templ.rows;
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//! [generalized-hough-transform-load-and-setup]
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//! [generalized-hough-transform-setup-parameters]
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// create ballard and set options
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Ptr<GeneralizedHoughBallard> ballard = createGeneralizedHoughBallard();
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ballard->setMinDist(10);
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ballard->setLevels(360);
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ballard->setDp(2);
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ballard->setMaxBufferSize(1000);
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ballard->setVotesThreshold(40);
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ballard->setCannyLowThresh(30);
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ballard->setCannyHighThresh(110);
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ballard->setTemplate(templ);
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// create guil and set options
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Ptr<GeneralizedHoughGuil> guil = createGeneralizedHoughGuil();
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guil->setMinDist(10);
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guil->setLevels(360);
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guil->setDp(3);
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guil->setMaxBufferSize(1000);
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guil->setMinAngle(0);
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guil->setMaxAngle(360);
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guil->setAngleStep(1);
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guil->setAngleThresh(1500);
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guil->setMinScale(0.5);
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guil->setMaxScale(2.0);
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guil->setScaleStep(0.05);
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guil->setScaleThresh(50);
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guil->setPosThresh(10);
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guil->setCannyLowThresh(30);
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guil->setCannyHighThresh(110);
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guil->setTemplate(templ);
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//! [generalized-hough-transform-setup-parameters]
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//! [generalized-hough-transform-run]
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// execute ballard detection
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ballard->detect(grayImage, positionBallard);
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// execute guil detection
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guil->detect(grayImage, positionGuil);
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//! [generalized-hough-transform-run]
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//! [generalized-hough-transform-draw-results]
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// draw ballard
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for (vector<Vec4f>::iterator iter = positionBallard.begin(); iter != positionBallard.end(); ++iter) {
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RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]),
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Size2f(w * (*iter)[2], h * (*iter)[2]),
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(*iter)[3]);
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Point2f vertices[4];
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rRect.points(vertices);
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for (int i = 0; i < 4; i++)
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line(image, vertices[i], vertices[(i + 1) % 4], Scalar(255, 0, 0), 6);
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}
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// draw guil
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for (vector<Vec4f>::iterator iter = positionGuil.begin(); iter != positionGuil.end(); ++iter) {
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RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]),
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Size2f(w * (*iter)[2], h * (*iter)[2]),
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(*iter)[3]);
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Point2f vertices[4];
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rRect.points(vertices);
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for (int i = 0; i < 4; i++)
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line(image, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0), 2);
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}
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imshow("result_img", image);
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waitKey();
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//! [generalized-hough-transform-draw-results]
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return EXIT_SUCCESS;
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}
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