potok/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2026-07-28 23:03:03 +04:00
Code Packages Releases Wiki Activity

Merge pull request #23442 from LaurentBerger:tuto_findFile

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files
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]
samples/cpp/tutorial_code/ImgProc/out_of_focus_deblur_filter/out_of_focus_deblur_filter.cpp
+10 -5
View File
@@ -1,8 +1,9 @@
/**
/**
* @brief You will learn how to recover an out-of-focus image by Wiener filter
* @author Karpushin Vladislav, karpushin@ngs.ru, https://github.com/VladKarpushin
*/
#include <iostream>
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
@@ -17,9 +18,9 @@ void calcWnrFilter(const Mat& input_h_PSF, Mat& output_G, double nsr);
const String keys =
"{help h usage ? | | print this message }"
"{image |original.JPG | input image name }"
"{R |53 | radius }"
"{SNR |5200 | signal to noise ratio}"
"{image |original.jpg | input image name }"
"{R |5 | radius }"
"{SNR |100 | signal to noise ratio}"
;
int main(int argc, char *argv[])
@@ -35,6 +36,7 @@ int main(int argc, char *argv[])
int R = parser.get<int>("R");
int snr = parser.get<int>("SNR");
string strInFileName = parser.get<String>("image");
samples::addSamplesDataSearchSubDirectory("doc/tutorials/imgproc/out_of_focus_deblur_filter/images");
if (!parser.check())
{
@@ -43,7 +45,7 @@ int main(int argc, char *argv[])
}
Mat imgIn;
imgIn = imread(strInFileName, IMREAD_GRAYSCALE);
imgIn = imread(samples::findFile( strInFileName ), IMREAD_GRAYSCALE);
if (imgIn.empty()) //check whether the image is loaded or not
{
cout << "ERROR : Image cannot be loaded..!!" << endl;
@@ -69,7 +71,10 @@ int main(int argc, char *argv[])
imgOut.convertTo(imgOut, CV_8U);
normalize(imgOut, imgOut, 0, 255, NORM_MINMAX);
imshow("Original", imgIn);
imshow("Debluring", imgOut);
imwrite("result.jpg", imgOut);
waitKey(0);
return 0;
}
samples/cpp/tutorial_code/ImgProc/periodic_noise_removing_filter/periodic_noise_removing_filter.cpp
+16 -3
View File
@@ -1,8 +1,9 @@
/**
/**
* @brief You will learn how to remove periodic noise in the Fourier domain
* @author Karpushin Vladislav, karpushin@ngs.ru, https://github.com/VladKarpushin
*/
#include <iostream>
#include "opencv2/highgui.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
@@ -14,15 +15,25 @@ void filter2DFreq(const Mat& inputImg, Mat& outputImg, const Mat& H);
void synthesizeFilterH(Mat& inputOutput_H, Point center, int radius);
void calcPSD(const Mat& inputImg, Mat& outputImg, int flag = 0);
int main()
const String keys =
"{help h usage ? | | print this message }"
"{@image |period_input.jpg | input image name }"
;
int main(int argc, char* argv[])
{
Mat imgIn = imread("input.jpg", IMREAD_GRAYSCALE);
CommandLineParser parser(argc, argv, keys);
string strInFileName = parser.get<String>("@image");
samples::addSamplesDataSearchSubDirectory("doc/tutorials/imgproc/periodic_noise_removing_filter/images");
Mat imgIn = imread(samples::findFile(strInFileName), IMREAD_GRAYSCALE);
if (imgIn.empty()) //check whether the image is loaded or not
{
cout << "ERROR : Image cannot be loaded..!!" << endl;
return -1;
}
imshow("Image corrupted", imgIn);
imgIn.convertTo(imgIn, CV_32F);
//! [main]
@@ -57,7 +68,9 @@ int main()
imwrite("PSD.jpg", imgPSD);
fftshift(H, H);
normalize(H, H, 0, 255, NORM_MINMAX);
imshow("Debluring", imgOut);
imwrite("filter.jpg", H);
waitKey(0);
return 0;
}