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fix typo and simplify example (grayscale template)

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Markus Heck 2022-09-09 15:27:11 +02:00
parent e2a9cff3dc
commit 5408949951
2 changed files with 4 additions and 6 deletions
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2
doc/tutorials/objdetect/generalized_hough_ballard_guil/generalized_hough_ballard_guil.markdown
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@ -8,7 +8,7 @@ Object detection with Generalized Ballard and Guil Hough Transform {#tutorial_ge
Goal
----
In this tutorial you will lern how to:
In this tutorial you will learn how to:
- Use @ref cv::GeneralizedHoughBallard and @ref cv::GeneralizedHoughGuil to detect an object

8
samples/cpp/tutorial_code/objectDetection/generalizedHoughTransform.cpp
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@ -12,14 +12,12 @@ using namespace std;
int main() {
//! [generalized-hough-transform-load-and-setup]
// load source images
// load source image and grayscale template
Mat image = imread("images/generalized_hough_mini_image.jpg");
Mat imgTemplate = imread("images/generalized_hough_mini_template.jpg");
Mat templ = imread("images/generalized_hough_mini_template.jpg", IMREAD_GRAYSCALE);
// create grayscale image and template
Mat templ = Mat(imgTemplate.rows, imgTemplate.cols, CV_8UC1);
// create grayscale image
Mat grayImage;
cvtColor(imgTemplate, templ, COLOR_RGB2GRAY);
cvtColor(image, grayImage, COLOR_RGB2GRAY);
// create variable for location, scale and rotation of detected templates