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Merge pull request #23442 from LaurentBerger:tuto_findFile

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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
This commit is contained in:
Laurent Berger
2023-04-06 12:02:00 +02:00
committed by GitHub
parent 793c966c40
commit 9742c73254
7 changed files with 63 additions and 33 deletions
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samples/cpp/tutorial_code/ImgProc/anisotropic_image_segmentation/anisotropic_image_segmentation.cpp
+12 -5
View File
@@ -1,9 +1,10 @@
/**
/**
* @brief You will learn how to segment an anisotropic image with a single local orientation by a gradient structure tensor (GST)
* @author Karpushin Vladislav, karpushin@ngs.ru, https://github.com/VladKarpushin
*/
#include <iostream>
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
@@ -21,7 +22,8 @@ int main()
int LowThr = 35; // threshold1 for orientation, it ranges from 0 to 180
int HighThr = 57; // threshold2 for orientation, it ranges from 0 to 180
Mat imgIn = imread("input.jpg", IMREAD_GRAYSCALE);
samples::addSamplesDataSearchSubDirectory("doc/tutorials/imgproc/anisotropic_image_segmentation/images");
Mat imgIn = imread(samples::findFile("gst_input.jpg"), IMREAD_GRAYSCALE);
if (imgIn.empty()) //check whether the image is loaded or not
{
cout << "ERROR : Image cannot be loaded..!!" << endl;
@@ -46,13 +48,18 @@ int main()
//! [combining]
//! [main]
normalize(imgCoherency, imgCoherency, 0, 255, NORM_MINMAX);
normalize(imgOrientation, imgOrientation, 0, 255, NORM_MINMAX);
normalize(imgCoherency, imgCoherency, 0, 255, NORM_MINMAX, CV_8U);
normalize(imgOrientation, imgOrientation, 0, 255, NORM_MINMAX, CV_8U);
imshow("Original", imgIn);
imshow("Result", 0.5 * (imgIn + imgBin));
imshow("Coherency", imgCoherency);
imshow("Orientation", imgOrientation);
imwrite("result.jpg", 0.5*(imgIn + imgBin));
imwrite("Coherency.jpg", imgCoherency);
imwrite("Orientation.jpg", imgOrientation);
//! [main_extra]
waitKey(0);
//! [main_extra]
return 0;
}
//! [calcGST]