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Merge pull request #15170 from sturkmen72:update_samples

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pull/15460/head^2
Alexander Alekhin 5 years ago
parent 0a13633411 f73395122c
commit 4ffb5b62ea
72 changed files with 251 additions and 271 deletions
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  1. 1
      samples/cpp/application_trace.cpp
  2. 8
      samples/cpp/demhist.cpp
  3. 11
      samples/cpp/dft.cpp
  4. 1
      samples/cpp/facedetect.cpp
  5. 9
      samples/cpp/falsecolor.cpp
  6. 7
      samples/cpp/inpaint.cpp
  7. 8
      samples/cpp/peopledetect.cpp
  8. 25
      samples/cpp/polar_transforms.cpp
  9. 1
      samples/cpp/qrcode.cpp
  10. 23
      samples/cpp/smiledetect.cpp
  11. 4
      samples/cpp/squares.cpp
  12. 2
      samples/cpp/train_HOG.cpp
  13. 6
      samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp
  14. 6
      samples/cpp/tutorial_code/HighGUI/BasicLinearTransformsTrackbar.cpp
  15. 4
      samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
  16. 6
      samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
  17. 8
      samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
  18. 6
      samples/cpp/tutorial_code/ImgProc/BasicLinearTransforms.cpp
  19. 4
      samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
  20. 6
      samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp
  21. 10
      samples/cpp/tutorial_code/ImgProc/Pyramids/Pyramids.cpp
  22. 10
      samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp
  23. 12
      samples/cpp/tutorial_code/ImgProc/Threshold.cpp
  24. 1
      samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp
  25. 4
      samples/cpp/tutorial_code/ImgProc/changing_contrast_brightness_image/changing_contrast_brightness_image.cpp
  26. 4
      samples/cpp/tutorial_code/ImgProc/morph_lines_detection/Morphology_3.cpp
  27. 4
      samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
  28. 4
      samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp
  29. 9
      samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
  30. 4
      samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
  31. 6
      samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
  32. 4
      samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
  33. 16
      samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
  34. 6
      samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
  35. 10
      samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp
  36. 8
      samples/cpp/tutorial_code/ImgTrans/houghcircles.cpp
  37. 6
      samples/cpp/tutorial_code/ImgTrans/houghlines.cpp
  38. 4
      samples/cpp/tutorial_code/ImgTrans/imageSegmentation.cpp
  39. 4
      samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
  40. 4
      samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
  41. 4
      samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
  42. 4
      samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
  43. 4
      samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
  44. 4
      samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
  45. 4
      samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
  46. 4
      samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
  47. 4
      samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
  48. 8
      samples/cpp/tutorial_code/core/AddingImages/AddingImages.cpp
  49. 16
      samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
  50. 12
      samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp
  51. 12
      samples/cpp/tutorial_code/features2D/AKAZE_match.cpp
  52. 12
      samples/cpp/tutorial_code/features2D/Homography/decompose_homography.cpp
  53. 12
      samples/cpp/tutorial_code/features2D/Homography/homography_from_camera_displacement.cpp
  54. 10
      samples/cpp/tutorial_code/features2D/Homography/panorama_stitching_rotating_camera.cpp
  55. 8
      samples/cpp/tutorial_code/features2D/Homography/perspective_correction.cpp
  56. 8
      samples/cpp/tutorial_code/features2D/Homography/pose_from_homography.cpp
  57. 10
      samples/cpp/tutorial_code/features2D/feature_description/SURF_matching_Demo.cpp
  58. 4
      samples/cpp/tutorial_code/features2D/feature_detection/SURF_detection_Demo.cpp
  59. 10
      samples/cpp/tutorial_code/features2D/feature_flann_matcher/SURF_FLANN_matching_Demo.cpp
  60. 10
      samples/cpp/tutorial_code/features2D/feature_homography/SURF_FLANN_matching_homography_Demo.cpp
  61. 7
      samples/cpp/tutorial_code/introduction/display_image/display_image.cpp
  62. 4
      samples/cpp/tutorial_code/introduction/windows_visual_studio_opencv/introduction_windows_vs.cpp
  63. 6
      samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp
  64. 10
      samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
  65. 10
      samples/cpp/tutorial_code/photo/decolorization/decolor.cpp
  66. 4
      samples/cpp/tutorial_code/photo/non_photorealistic_rendering/npr_demo.cpp
  67. 8
      samples/cpp/tutorial_code/video/bg_sub.cpp
  68. 4
      samples/cpp/tutorial_code/video/optical_flow/optical_flow.cpp
  69. 12
      samples/cpp/tutorial_code/xfeatures2D/LATCH_match.cpp
  70. 8
      samples/cpp/warpPerspective_demo.cpp
  71. 12
      samples/cpp/watershed.cpp
  72. 1
      samples/tapi/hog.cpp

1
samples/cpp/application_trace.cpp
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@ -4,6 +4,7 @@
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/core/utils/trace.hpp>
using namespace cv;

8
samples/cpp/demhist.cpp
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@ -56,11 +56,6 @@ static void updateBrightnessContrast( int /*arg*/, void* )
Scalar::all(0), -1, 8, 0 );
imshow("histogram", histImage);
}
static void help()
{
std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n"
<< "Usage: \n" << "demhist [image_name -- Defaults to baboon.jpg]" << std::endl;
}
const char* keys =
{
@ -70,9 +65,10 @@ const char* keys =
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv, keys);
parser.about("\nThis program demonstrates the use of calcHist() -- histogram creation.\n");
if (parser.has("help"))
{
help();
parser.printMessage();
return 0;
}
string inputImage = parser.get<string>(0);

11
samples/cpp/dft.cpp
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@ -9,12 +9,11 @@
using namespace cv;
using namespace std;
static void help()
static void help(const char ** argv)
{
printf("\nThis program demonstrated the use of the discrete Fourier transform (dft)\n"
"The dft of an image is taken and it's power spectrum is displayed.\n"
"Usage:\n"
"./dft [image_name -- default lena.jpg]\n");
"Usage:\n %s [image_name -- default lena.jpg]\n",argv[0]);
}
const char* keys =
@ -24,18 +23,18 @@ const char* keys =
int main(int argc, const char ** argv)
{
help();
help(argv);
CommandLineParser parser(argc, argv, keys);
if (parser.has("help"))
{
help();
help(argv);
return 0;
}
string filename = parser.get<string>(0);
Mat img = imread(samples::findFile(filename), IMREAD_GRAYSCALE);
if( img.empty() )
{
help();
help(argv);
printf("Cannot read image file: %s\n", filename.c_str());
return -1;
}

1
samples/cpp/facedetect.cpp
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@ -1,6 +1,7 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
using namespace std;

9
samples/cpp/falsecolor.cpp
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@ -14,15 +14,16 @@ struct ParamColorMap {
};
String winName="False color";
static const String ColorMaps[] = { "Autumn", "Bone", "Jet", "Winter", "Rainbow", "Ocean", "Summer",
"Spring", "Cool", "HSV", "Pink", "Hot", "Parula", "User defined (random)"};
static const String ColorMaps[] = { "Autumn", "Bone", "Jet", "Winter", "Rainbow", "Ocean", "Summer", "Spring",
"Cool", "HSV", "Pink", "Hot", "Parula", "Magma", "Inferno", "Plasma", "Viridis",
"Cividis", "Twilight", "Twilight Shifted", "Turbo", "User defined (random)" };
static void TrackColorMap(int x, void *r)
{
ParamColorMap *p = (ParamColorMap*)r;
Mat dst;
p->iColormap= x;
if (x == COLORMAP_PARULA + 1)
if (x == COLORMAP_TURBO + 1)
{
Mat lutRND(256, 1, CV_8UC3);
randu(lutRND, Scalar(0, 0, 0), Scalar(255, 255, 255));
@ -98,7 +99,7 @@ int main(int argc, char** argv)
namedWindow(winName);
createTrackbar("colormap", winName,&p.iColormap,1,TrackColorMap,(void*)&p);
setTrackbarMin("colormap", winName, COLORMAP_AUTUMN);
setTrackbarMax("colormap", winName, COLORMAP_PARULA+1);
setTrackbarMax("colormap", winName, COLORMAP_TURBO+1);
setTrackbarPos("colormap", winName, -1);
TrackColorMap(0, (void*)&p);

7
samples/cpp/inpaint.cpp
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@ -8,13 +8,12 @@
using namespace cv;
using namespace std;
static void help()
static void help( char** argv )
{
cout << "\nCool inpainging demo. Inpainting repairs damage to images by floodfilling the damage \n"
<< "with surrounding image areas.\n"
"Using OpenCV version %s\n" << CV_VERSION << "\n"
"Usage:\n"
"./inpaint [image_name -- Default fruits.jpg]\n" << endl;
"Usage:\n" << argv[0] <<" [image_name -- Default fruits.jpg]\n" << endl;
cout << "Hot keys: \n"
"\tESC - quit the program\n"
@ -48,7 +47,7 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv, "{@image|fruits.jpg|}");
help();
help(argv);
string filename = samples::findFile(parser.get<string>("@image"));
Mat img0 = imread(filename, IMREAD_COLOR);

8
samples/cpp/peopledetect.cpp
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@ -31,9 +31,9 @@ public:
// groupThreshold (set groupThreshold to 0 to turn off the grouping completely).
vector<Rect> found;
if (m == Default)
hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2, false);
hog.detectMultiScale(img, found, 0, Size(8,8), Size(), 1.05, 2, false);
else if (m == Daimler)
hog_d.detectMultiScale(img, found, 0.5, Size(8,8), Size(32,32), 1.05, 2, true);
hog_d.detectMultiScale(img, found, 0, Size(8,8), Size(), 1.05, 2, true);
return found;
}
void adjustRect(Rect & r) const
@ -54,7 +54,7 @@ static const string keys = "{ help h | | print help message }"
int main(int argc, char** argv)
{
CommandLineParser parser(argc, argv, keys);
parser.about("This sample demonstrates the use ot the HoG descriptor.");
parser.about("This sample demonstrates the use of the HoG descriptor.");
if (parser.has("help"))
{
parser.printMessage();
@ -114,7 +114,7 @@ int main(int argc, char** argv)
imshow("People detector", frame);
// interact with user
const char key = (char)waitKey(30);
const char key = (char)waitKey(1);
if (key == 27 || key == 'q') // ESC
{
cout << "Exit requested" << endl;

25
samples/cpp/polar_transforms.cpp
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@ -1,24 +1,18 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
using namespace cv;
static void help( void )
{
printf("\nThis program illustrates Linear-Polar and Log-Polar image transforms\n"
"Usage :\n"
"./polar_transforms [[camera number -- Default 0],[path_to_filename]]\n\n");
}
int main( int argc, char** argv )
{
VideoCapture capture;
Mat log_polar_img, lin_polar_img, recovered_log_polar, recovered_lin_polar_img;
help();
CommandLineParser parser(argc, argv, "{@input|0|}");
CommandLineParser parser(argc, argv, "{@input|0| camera device number or video file path}");
parser.about("\nThis program illustrates usage of Linear-Polar and Log-Polar image transforms\n");
parser.printMessage();
std::string arg = parser.get<std::string>("@input");
if( arg.size() == 1 && isdigit(arg[0]) )
@ -28,9 +22,7 @@ int main( int argc, char** argv )
if( !capture.isOpened() )
{
const char* name = argv[0];
fprintf(stderr,"Could not initialize capturing...\n");
fprintf(stderr,"Usage: %s <CAMERA_NUMBER> , or \n %s <VIDEO_FILE>\n", name, name);
return -1;
}
@ -102,15 +94,6 @@ int main( int argc, char** argv )
drawMarker(src, Point(x, y), Scalar(0, 255, 0));
drawMarker(dst, Point(rho, phi), Scalar(0, 255, 0));
#if 0 //C version
CvMat src = frame;
CvMat dst = lin_polar_img;
CvMat inverse = recovered_lin_polar_img;
cvLinearPolar(&src, &dst, center, maxRadius, flags);
cvLinearPolar(&dst, &inverse, center, maxRadius,flags + WARP_INVERSE_MAP);
#endif
imshow("Src frame", src);
imshow("Log-Polar", log_polar_img);
imshow("Linear-Polar", lin_polar_img);

1
samples/cpp/qrcode.cpp
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@ -1,6 +1,7 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <string>
#include <iostream>

23
samples/cpp/smiledetect.cpp
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@ -1,22 +1,23 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
using namespace std;
using namespace cv;
static void help()
static void help(const char** argv)
{
cout << "\nThis program demonstrates the smile detector.\n"
"Usage:\n"
"./smiledetect [--cascade=<cascade_path> this is the frontal face classifier]\n"
"Usage:\n" <<
argv[0] << " [--cascade=<cascade_path> this is the frontal face classifier]\n"
" [--smile-cascade=[<smile_cascade_path>]]\n"
" [--scale=<image scale greater or equal to 1, try 2.0 for example. The larger the faster the processing>]\n"
" [--try-flip]\n"
" [video_filename|camera_index]\n\n"
"Example:\n"
"./smiledetect --cascade=\"data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"data/haarcascades/haarcascade_smile.xml\" --scale=2.0\n\n"
"Example:\n" <<
argv[0] << " --cascade=\"data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"data/haarcascades/haarcascade_smile.xml\" --scale=2.0\n\n"
"During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
}
@ -35,7 +36,7 @@ int main( int argc, const char** argv )
string inputName;
bool tryflip;
help();
help(argv);
CascadeClassifier cascade, nestedCascade;
double scale;
@ -46,7 +47,7 @@ int main( int argc, const char** argv )
"{try-flip||}{@input||}");
if (parser.has("help"))
{
help();
help(argv);
return 0;
}
cascadeName = samples::findFile(parser.get<string>("cascade"));
@ -56,7 +57,7 @@ int main( int argc, const char** argv )
scale = parser.get<int>("scale");
if (!parser.check())
{
help();
help(argv);
return 1;
}
if (scale < 1)
@ -64,13 +65,13 @@ int main( int argc, const char** argv )
if( !cascade.load( cascadeName ) )
{
cerr << "ERROR: Could not load face cascade" << endl;
help();
help(argv);
return -1;
}
if( !nestedCascade.load( nestedCascadeName ) )
{
cerr << "ERROR: Could not load smile cascade" << endl;
help();
help(argv);
return -1;
}
if( inputName.empty() || (isdigit(inputName[0]) && inputName.size() == 1) )
@ -108,7 +109,7 @@ int main( int argc, const char** argv )
else
{
cerr << "ERROR: Could not initiate capture" << endl;
help();
help(argv);
return -1;
}

4
samples/cpp/squares.cpp
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@ -138,8 +138,8 @@ static void drawSquares( Mat& image, const vector<vector<Point> >& squares )
int main(int argc, char** argv)
{
static const char* names[] = { "data/pic1.png", "data/pic2.png", "data/pic3.png",
"data/pic4.png", "data/pic5.png", "data/pic6.png", 0 };
static const char* names[] = { "pic1.png", "pic2.png", "pic3.png",
"pic4.png", "pic5.png", "pic6.png", 0 };
help(argv[0]);
if( argc > 1)

2
samples/cpp/train_HOG.cpp
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@ -2,7 +2,7 @@
#include "opencv2/highgui.hpp"
#include "opencv2/ml.hpp"
#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
#include <time.h>

6
samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp
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@ -1,5 +1,5 @@
/**
* @file LinearBlend.cpp
* @file AddingImagesTrackbar.cpp
* @brief Simple linear blender ( dst = alpha*src1 + beta*src2 )
* @author OpenCV team
*/
@ -44,8 +44,8 @@ int main( void )
{
//![load]
/// Read images ( both have to be of the same size and type )
src1 = imread("../data/LinuxLogo.jpg");
src2 = imread("../data/WindowsLogo.jpg");
src1 = imread( samples::findFile("LinuxLogo.jpg") );
src2 = imread( samples::findFile("WindowsLogo.jpg") );
//![load]
if( src1.empty() ) { cout << "Error loading src1 \n"; return -1; }

6
samples/cpp/tutorial_code/HighGUI/BasicLinearTransformsTrackbar.cpp
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@ -1,5 +1,5 @@
/**
* @file LinearTransforms.cpp
* @file BasicLinearTransformsTrackbar.cpp
* @brief Simple program to change contrast and brightness
* @date Mon, June 6, 2011
* @author OpenCV team
@ -44,12 +44,12 @@ static void on_trackbar( int, void* )
int main( int argc, char** argv )
{
/// Read image given by user
String imageName("../data/lena.jpg"); // by default
String imageName("lena.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
image = imread( imageName );
image = imread( samples::findFile( imageName ) );
/// Initialize values
alpha = 1;

4
samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp
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@ -18,8 +18,8 @@ using namespace std;
int main( int argc, char** argv )
{
//! [Load image]
CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
CommandLineParser parser( argc, argv, "{@input | lena.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_COLOR );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

6
samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp
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@ -34,7 +34,7 @@ int main( int argc, char** argv )
if (argc < 3)
{
cout << "Not enough parameters" << endl;
cout << "Usage:\n./MatchTemplate_Demo <image_name> <template_name> [<mask_name>]" << endl;
cout << "Usage:\n" << argv[0] << " <image_name> <template_name> [<mask_name>]" << endl;
return -1;
}
@ -51,7 +51,7 @@ int main( int argc, char** argv )
if(img.empty() || templ.empty() || (use_mask && mask.empty()))
{
cout << "Can't read one of the images" << endl;
return -1;
return EXIT_FAILURE;
}
//! [load_image]
@ -71,7 +71,7 @@ int main( int argc, char** argv )
//! [wait_key]
waitKey(0);
return 0;
return EXIT_SUCCESS;
//! [wait_key]
}

8
samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
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@ -18,11 +18,11 @@ using namespace cv;
int main(int argc, char** argv)
{
//! [Load image]
CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
CommandLineParser parser( argc, argv, "{@input | lena.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_COLOR );
if( src.empty() )
{
return -1;
return EXIT_FAILURE;
}
//! [Load image]
@ -85,5 +85,5 @@ int main(int argc, char** argv)
waitKey();
//! [Display]
return 0;
return EXIT_SUCCESS;
}

6
samples/cpp/tutorial_code/ImgProc/BasicLinearTransforms.cpp
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@ -22,8 +22,8 @@ int main( int argc, char** argv )
{
/// Read image given by user
//! [basic-linear-transform-load]
CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
Mat image = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | lena.jpg | input image}" );
Mat image = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( image.empty() )
{
cout << "Could not open or find the image!\n" << endl;
@ -67,7 +67,7 @@ int main( int argc, char** argv )
imshow("Original Image", image);
imshow("New Image", new_image);
/// Wait until user press some key
/// Wait until the user press a key
waitKey();
//! [basic-linear-transform-display]
return 0;

4
samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp
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@ -31,8 +31,8 @@ void Dilation( int, void* );
int main( int argc, char** argv )
{
/// Load an image
CommandLineParser parser( argc, argv, "{@input | ../data/LinuxLogo.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
CommandLineParser parser( argc, argv, "{@input | LinuxLogo.jpg | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_COLOR );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

6
samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp
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@ -33,13 +33,13 @@ void Morphology_Operations( int, void* );
int main( int argc, char** argv )
{
//![load]
CommandLineParser parser( argc, argv, "{@input | ../data/baboon.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
CommandLineParser parser( argc, argv, "{@input | baboon.jpg | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_COLOR );
if (src.empty())
{
std::cout << "Could not open or find the image!\n" << std::endl;
std::cout << "Usage: " << argv[0] << " <Input image>" << std::endl;
return -1;
return EXIT_FAILURE;
}
//![load]

10
samples/cpp/tutorial_code/ImgProc/Pyramids/Pyramids.cpp
Unescape View File

@ -27,16 +27,16 @@ int main( int argc, char** argv )
" * [ESC] -> Close program \n" << endl;
//![load]
const char* filename = argc >=2 ? argv[1] : "../data/chicky_512.png";
const char* filename = argc >=2 ? argv[1] : "chicky_512.png";
// Loads an image
Mat src = imread( filename );
Mat src = imread( samples::findFile( filename ) );
// Check if image is loaded fine
if(src.empty()){
printf(" Error opening image\n");
printf(" Program Arguments: [image_name -- default ../data/chicky_512.png] \n");
return -1;
printf(" Program Arguments: [image_name -- default chicky_512.png] \n");
return EXIT_FAILURE;
}
//![load]
@ -65,5 +65,5 @@ int main( int argc, char** argv )
}
//![loop]
return 0;
return EXIT_SUCCESS;
}

10
samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp
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@ -33,14 +33,14 @@ int main( int argc, char ** argv )
namedWindow( window_name, WINDOW_AUTOSIZE );
/// Load the source image
const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg";
const char* filename = argc >=2 ? argv[1] : "lena.jpg";
src = imread( filename, IMREAD_COLOR );
if(src.empty())
src = imread( samples::findFile( filename ), IMREAD_COLOR );
if (src.empty())
{
printf(" Error opening image\n");
printf(" Usage: ./Smoothing [image_name -- default ../data/lena.jpg] \n");
return -1;
printf(" Usage:\n %s [image_name-- default lena.jpg] \n", argv[0]);
return EXIT_FAILURE;
}
if( display_caption( "Original Image" ) != 0 )

12
samples/cpp/tutorial_code/ImgProc/Threshold.cpp
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@ -49,16 +49,16 @@ static void Threshold_Demo( int, void* )
int main( int argc, char** argv )
{
//! [load]
String imageName("../data/stuff.jpg"); // by default
String imageName("stuff.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
src = imread( imageName, IMREAD_COLOR ); // Load an image
src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
if (src.empty())
{
cout << "Cannot read image: " << imageName << std::endl;
cout << "Cannot read the image: " << imageName << std::endl;
return -1;
}
@ -72,16 +72,16 @@ int main( int argc, char** argv )
//! [trackbar]
createTrackbar( trackbar_type,
window_name, &threshold_type,
max_type, Threshold_Demo ); // Create Trackbar to choose type of Threshold
max_type, Threshold_Demo ); // Create a Trackbar to choose type of Threshold
createTrackbar( trackbar_value,
window_name, &threshold_value,
max_value, Threshold_Demo ); // Create Trackbar to choose Threshold value
max_value, Threshold_Demo ); // Create a Trackbar to choose Threshold value
//! [trackbar]
Threshold_Demo( 0, 0 ); // Call the function to initialize
/// Wait until user finishes program
/// Wait until the user finishes the program
waitKey();
return 0;
}

1
samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp
Unescape View File

@ -1,5 +1,6 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
using namespace cv;

4
samples/cpp/tutorial_code/ImgProc/changing_contrast_brightness_image/changing_contrast_brightness_image.cpp
Unescape View File

@ -64,8 +64,8 @@ void on_gamma_correction_trackbar(int, void *)
int main( int argc, char** argv )
{
CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
img_original = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | lena.jpg | input image}" );
img_original = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( img_original.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ImgProc/morph_lines_detection/Morphology_3.cpp
Unescape View File

@ -17,8 +17,8 @@ using namespace cv;
int main(int argc, char** argv)
{
//! [load_image]
CommandLineParser parser(argc, argv, "{@input | ../data/notes.png | input image}");
Mat src = imread(parser.get<String>("@input"), IMREAD_COLOR);
CommandLineParser parser(argc, argv, "{@input | notes.png | input image}");
Mat src = imread( samples::findFile( parser.get<String>("@input") ), IMREAD_COLOR);
if (src.empty())
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp
Unescape View File

@ -58,8 +58,8 @@ static void CannyThreshold(int, void*)
int main( int argc, char** argv )
{
//![load]
CommandLineParser parser( argc, argv, "{@input | ../data/fruits.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR ); // Load an image
CommandLineParser parser( argc, argv, "{@input | fruits.jpg | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_COLOR ); // Load an image
if( src.empty() )
{

4
samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp
Unescape View File

@ -18,8 +18,8 @@ using namespace std;
int main( int argc, char** argv )
{
//! [Load the image]
CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | lena.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

9
samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
Unescape View File

@ -18,7 +18,6 @@ namespace
const std::string windowName = "Hough Circle Detection Demo";
const std::string cannyThresholdTrackbarName = "Canny threshold";
const std::string accumulatorThresholdTrackbarName = "Accumulator Threshold";
const std::string usage = "Usage : tutorial_HoughCircle_Demo <path_to_input_image>\n";
// initial and max values of the parameters of interests.
const int cannyThresholdInitialValue = 100;
@ -56,17 +55,17 @@ int main(int argc, char** argv)
Mat src, src_gray;
// Read the image
String imageName("../data/stuff.jpg"); // by default
String imageName("stuff.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
src = imread( imageName, IMREAD_COLOR );
src = imread( samples::findFile( imageName ), IMREAD_COLOR );
if( src.empty() )
{
std::cerr<<"Invalid input image\n";
std::cout<<usage;
std::cerr << "Invalid input image\n";
std::cout << "Usage : " << argv[0] << " <path_to_input_image>\n";;
return -1;
}

4
samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
Unescape View File

@ -38,12 +38,12 @@ void Probabilistic_Hough( int, void* );
int main( int argc, char** argv )
{
// Read the image
String imageName("../data/building.jpg"); // by default
String imageName("building.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
src = imread( imageName, IMREAD_COLOR );
src = imread( samples::findFile( imageName ), IMREAD_COLOR );
if( src.empty() )
{ help();

6
samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp
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@ -26,14 +26,14 @@ int main( int argc, char** argv )
//![variables]
//![load]
const char* imageName = argc >=2 ? argv[1] : "../data/lena.jpg";
const char* imageName = argc >=2 ? argv[1] : "lena.jpg";
src = imread( imageName, IMREAD_COLOR ); // Load an image
src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
// Check if image is loaded fine
if(src.empty()){
printf(" Error opening image\n");
printf(" Program Arguments: [image_name -- default ../data/lena.jpg] \n");
printf(" Program Arguments: [image_name -- default lena.jpg] \n");
return -1;
}
//![load]

4
samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp
Unescape View File

@ -19,11 +19,11 @@ void update_map( int &ind, Mat &map_x, Mat &map_y );
*/
int main(int argc, const char** argv)
{
CommandLineParser parser(argc, argv, "{@image |../data/chicky_512.png|input image name}");
CommandLineParser parser(argc, argv, "{@image |chicky_512.png|input image name}");
std::string filename = parser.get<std::string>(0);
//! [Load]
/// Load the image
Mat src = imread( filename, IMREAD_COLOR );
Mat src = imread( samples::findFile( filename ), IMREAD_COLOR );
if (src.empty())
{
std::cout << "Cannot read image: " << filename << std::endl;

16
samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp
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@ -19,10 +19,10 @@ using namespace std;
int main( int argc, char** argv )
{
cv::CommandLineParser parser(argc, argv,
"{@input |../data/lena.jpg|input image}"
"{ksize k|1|ksize (hit 'K' to increase its value)}"
"{scale s|1|scale (hit 'S' to increase its value)}"
"{delta d|0|delta (hit 'D' to increase its value)}"
"{@input |lena.jpg|input image}"
"{ksize k|1|ksize (hit 'K' to increase its value at run time)}"
"{scale s|1|scale (hit 'S' to increase its value at run time)}"
"{delta d|0|delta (hit 'D' to increase its value at run time)}"
"{help h|false|show help message}");
cout << "The sample uses Sobel or Scharr OpenCV functions for edge detection\n\n";
@ -43,13 +43,13 @@ int main( int argc, char** argv )
//![load]
String imageName = parser.get<String>("@input");
// As usual we load our source image (src)
image = imread( imageName, IMREAD_COLOR ); // Load an image
image = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
// Check if image is loaded fine
if( image.empty() )
{
printf("Error opening image: %s\n", imageName.c_str());
return 1;
return EXIT_FAILURE;
}
//![load]
@ -95,7 +95,7 @@ int main( int argc, char** argv )
if(key == 27)
{
return 0;
return EXIT_SUCCESS;
}
if (key == 'k' || key == 'K')
@ -120,5 +120,5 @@ int main( int argc, char** argv )
delta = 0;
}
}
return 0;
return EXIT_SUCCESS;
}

6
samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp
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@ -25,15 +25,15 @@ RNG rng(12345);
int main( int argc, char** argv )
{
//![load]
const char* imageName = argc >=2 ? argv[1] : "../data/lena.jpg";
const char* imageName = argc >=2 ? argv[1] : "lena.jpg";
// Loads an image
src = imread( imageName, IMREAD_COLOR ); // Load an image
src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
// Check if image is loaded fine
if( src.empty()) {
printf(" Error opening image\n");
printf(" Program Arguments: [image_name -- default ../data/lena.jpg] \n");
printf(" Program Arguments: [image_name -- default lena.jpg] \n");
return -1;
}
//![load]

10
samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp
Unescape View File

@ -26,16 +26,16 @@ int main ( int argc, char** argv )
const char* window_name = "filter2D Demo";
//![load]
const char* imageName = argc >=2 ? argv[1] : "../data/lena.jpg";
const char* imageName = argc >=2 ? argv[1] : "lena.jpg";
// Loads an image
src = imread( imageName, IMREAD_COLOR ); // Load an image
src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
if( src.empty() )
{
printf(" Error opening image\n");
printf(" Program Arguments: [image_name -- default ../data/lena.jpg] \n");
return -1;
printf(" Program Arguments: [image_name -- default lena.jpg] \n");
return EXIT_FAILURE;
}
//![load]
@ -70,5 +70,5 @@ int main ( int argc, char** argv )
ind++;
}
return 0;
return EXIT_SUCCESS;
}

8
samples/cpp/tutorial_code/ImgTrans/houghcircles.cpp
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@ -12,16 +12,16 @@ using namespace std;
int main(int argc, char** argv)
{
//![load]
const char* filename = argc >=2 ? argv[1] : "../data/smarties.png";
const char* filename = argc >=2 ? argv[1] : "smarties.png";
// Loads an image
Mat src = imread( filename, IMREAD_COLOR );
Mat src = imread( samples::findFile( filename ), IMREAD_COLOR );
// Check if image is loaded fine
if(src.empty()){
printf(" Error opening image\n");
printf(" Program Arguments: [image_name -- default %s] \n", filename);
return -1;
return EXIT_FAILURE;
}
//![load]
@ -61,5 +61,5 @@ int main(int argc, char** argv)
waitKey();
//![display]
return 0;
return EXIT_SUCCESS;
}

6
samples/cpp/tutorial_code/ImgTrans/houghlines.cpp
Unescape View File

@ -1,5 +1,5 @@
/**
* @file houghclines.cpp
* @file houghlines.cpp
* @brief This program demonstrates line finding with the Hough transform
*/
@ -16,11 +16,11 @@ int main(int argc, char** argv)
Mat dst, cdst, cdstP;
//![load]
const char* default_file = "../data/sudoku.png";
const char* default_file = "sudoku.png";
const char* filename = argc >=2 ? argv[1] : default_file;
// Loads an image
Mat src = imread( filename, IMREAD_GRAYSCALE );
Mat src = imread( samples::findFile( filename ), IMREAD_GRAYSCALE );
// Check if image is loaded fine
if(src.empty()){

4
samples/cpp/tutorial_code/ImgTrans/imageSegmentation.cpp
Unescape View File

@ -15,8 +15,8 @@ int main(int argc, char *argv[])
{
//! [load_image]
// Load the image
CommandLineParser parser( argc, argv, "{@input | ../data/cards.png | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | cards.png | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
Unescape View File

@ -25,8 +25,8 @@ void thresh_callback(int, void* );
int main( int argc, char** argv )
{
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/HappyFish.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | HappyFish.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
Unescape View File

@ -26,8 +26,8 @@ int main( int argc, char** argv )
{
//! [setup]
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | stuff.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
Unescape View File

@ -25,8 +25,8 @@ void thresh_callback(int, void* );
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | stuff.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
Unescape View File

@ -25,8 +25,8 @@ void thresh_callback(int, void* );
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | stuff.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
Unescape View File

@ -26,8 +26,8 @@ void thresh_callback(int, void* );
int main( int argc, char** argv )
{
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | stuff.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{

4
samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp
Unescape View File

@ -38,8 +38,8 @@ void myHarris_function( int, void* );
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/building.jpg | input image}" );
src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | building.jpg | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if ( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp
Unescape View File

@ -28,8 +28,8 @@ void cornerHarris_demo( int, void* );
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/building.jpg | input image}" );
src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | building.jpg | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if ( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp
Unescape View File

@ -29,8 +29,8 @@ void goodFeaturesToTrack_Demo( int, void* );
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/pic3.png | input image}" );
src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | pic3.png | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp
Unescape View File

@ -30,8 +30,8 @@ void goodFeaturesToTrack_Demo( int, void* );
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/pic3.png | input image}" );
src = imread( parser.get<String>( "@input" ) );
CommandLineParser parser( argc, argv, "{@input | pic3.png | input image}" );
src = imread( samples::findFile( parser.get<String>( "@input" ) ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

8
samples/cpp/tutorial_code/core/AddingImages/AddingImages.cpp
Unescape View File

@ -36,12 +36,12 @@ int main( void )
//![load]
/// Read images ( both have to be of the same size and type )
src1 = imread( "../data/LinuxLogo.jpg" );
src2 = imread( "../data/WindowsLogo.jpg" );
src1 = imread( samples::findFile("LinuxLogo.jpg") );
src2 = imread( samples::findFile("WindowsLogo.jpg") );
//![load]
if( src1.empty() ) { cout << "Error loading src1" << endl; return -1; }
if( src2.empty() ) { cout << "Error loading src2" << endl; return -1; }
if( src1.empty() ) { cout << "Error loading src1" << endl; return EXIT_FAILURE; }
if( src2.empty() ) { cout << "Error loading src2" << endl; return EXIT_FAILURE; }
//![blend_images]
beta = ( 1.0 - alpha );

16
samples/cpp/tutorial_code/core/discrete_fourier_transform/discrete_fourier_transform.cpp
Unescape View File

@ -8,25 +8,25 @@
using namespace cv;
using namespace std;
static void help(void)
static void help(char ** argv)
{
cout << endl
<< "This program demonstrated the use of the discrete Fourier transform (DFT). " << endl
<< "The dft of an image is taken and it's power spectrum is displayed." << endl
<< "The dft of an image is taken and it's power spectrum is displayed." << endl << endl
<< "Usage:" << endl
<< "./discrete_fourier_transform [image_name -- default ../data/lena.jpg]" << endl;
<< argv[0] << " [image_name -- default lena.jpg]" << endl << endl;
}
int main(int argc, char ** argv)
{
help();
help(argv);
const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg";
const char* filename = argc >=2 ? argv[1] : "lena.jpg";
Mat I = imread(filename, IMREAD_GRAYSCALE);
Mat I = imread( samples::findFile( filename ), IMREAD_GRAYSCALE);
if( I.empty()){
cout << "Error opening image" << endl;
return -1;
return EXIT_FAILURE;
}
//! [expand]
@ -91,5 +91,5 @@ int main(int argc, char ** argv)
imshow("spectrum magnitude", magI);
waitKey();
return 0;
return EXIT_SUCCESS;
}

12
samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp
Unescape View File

@ -12,7 +12,7 @@ static void help(char* progName)
<< "This program shows how to filter images with mask: the write it yourself and the"
<< "filter2d way. " << endl
<< "Usage:" << endl
<< progName << " [image_path -- default ../data/lena.jpg] [G -- grayscale] " << endl << endl;
<< progName << " [image_path -- default lena.jpg] [G -- grayscale] " << endl << endl;
}
@ -21,19 +21,19 @@ void Sharpen(const Mat& myImage,Mat& Result);
int main( int argc, char* argv[])
{
help(argv[0]);
const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg";
const char* filename = argc >=2 ? argv[1] : "lena.jpg";
Mat src, dst0, dst1;
if (argc >= 3 && !strcmp("G", argv[2]))
src = imread( filename, IMREAD_GRAYSCALE);
src = imread( samples::findFile( filename ), IMREAD_GRAYSCALE);
else
src = imread( filename, IMREAD_COLOR);
src = imread( samples::findFile( filename ), IMREAD_COLOR);
if (src.empty())
{
cerr << "Can't open image [" << filename << "]" << endl;
return -1;
return EXIT_FAILURE;
}
namedWindow("Input", WINDOW_AUTOSIZE);
@ -67,7 +67,7 @@ int main( int argc, char* argv[])
imshow( "Output", dst1 );
waitKey();
return 0;
return EXIT_SUCCESS;
}
//! [basic_method]
void Sharpen(const Mat& myImage,Mat& Result)

12
samples/cpp/tutorial_code/features2D/AKAZE_match.cpp
Unescape View File

@ -13,14 +13,14 @@ int main(int argc, char* argv[])
{
//! [load]
CommandLineParser parser(argc, argv,
"{@img1 | ../data/graf1.png | input image 1}"
"{@img2 | ../data/graf3.png | input image 2}"
"{@homography | ../data/H1to3p.xml | homography matrix}");
Mat img1 = imread(parser.get<String>("@img1"), IMREAD_GRAYSCALE);
Mat img2 = imread(parser.get<String>("@img2"), IMREAD_GRAYSCALE);
"{@img1 | graf1.png | input image 1}"
"{@img2 | graf3.png | input image 2}"
"{@homography | H1to3p.xml | homography matrix}");
Mat img1 = imread( samples::findFile( parser.get<String>("@img1") ), IMREAD_GRAYSCALE);
Mat img2 = imread( samples::findFile( parser.get<String>("@img2") ), IMREAD_GRAYSCALE);
Mat homography;
FileStorage fs(parser.get<String>("@homography"), FileStorage::READ);
FileStorage fs( samples::findFile( parser.get<String>("@homography") ), FileStorage::READ);
fs.getFirstTopLevelNode() >> homography;
//! [load]

12
samples/cpp/tutorial_code/features2D/Homography/decompose_homography.cpp
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@ -52,8 +52,8 @@ void computeC2MC1(const Mat &R1, const Mat &tvec1, const Mat &R2, const Mat &tve
void decomposeHomography(const string &img1Path, const string &img2Path, const Size &patternSize,
const float squareSize, const string &intrinsicsPath)
{
Mat img1 = imread(img1Path);
Mat img2 = imread(img2Path);
Mat img1 = imread( samples::findFile( img1Path) );
Mat img2 = imread( samples::findFile( img2Path) );
vector<Point2f> corners1, corners2;
bool found1 = findChessboardCorners(img1, patternSize, corners1);
@ -69,7 +69,7 @@ void decomposeHomography(const string &img1Path, const string &img2Path, const S
vector<Point3f> objectPoints;
calcChessboardCorners(patternSize, squareSize, objectPoints);
FileStorage fs(intrinsicsPath, FileStorage::READ);
FileStorage fs( samples::findFile( intrinsicsPath ), FileStorage::READ);
Mat cameraMatrix, distCoeffs;
fs["camera_matrix"] >> cameraMatrix;
fs["distortion_coefficients"] >> distCoeffs;
@ -154,9 +154,9 @@ void decomposeHomography(const string &img1Path, const string &img2Path, const S
const char* params
= "{ help h | | print usage }"
"{ image1 | ../data/left02.jpg | path to the source chessboard image }"
"{ image2 | ../data/left01.jpg | path to the desired chessboard image }"
"{ intrinsics | ../data/left_intrinsics.yml | path to camera intrinsics }"
"{ image1 | left02.jpg | path to the source chessboard image }"
"{ image2 | left01.jpg | path to the desired chessboard image }"
"{ intrinsics | left_intrinsics.yml | path to camera intrinsics }"
"{ width bw | 9 | chessboard width }"
"{ height bh | 6 | chessboard height }"
"{ square_size | 0.025 | chessboard square size }";

12
samples/cpp/tutorial_code/features2D/Homography/homography_from_camera_displacement.cpp
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@ -65,8 +65,8 @@ void computeC2MC1(const Mat &R1, const Mat &tvec1, const Mat &R2, const Mat &tve
void homographyFromCameraDisplacement(const string &img1Path, const string &img2Path, const Size &patternSize,
const float squareSize, const string &intrinsicsPath)
{
Mat img1 = imread(img1Path);
Mat img2 = imread(img2Path);
Mat img1 = imread( samples::findFile( img1Path ) );
Mat img2 = imread( samples::findFile( img2Path ) );
//! [compute-poses]
vector<Point2f> corners1, corners2;
@ -82,7 +82,7 @@ void homographyFromCameraDisplacement(const string &img1Path, const string &img2
vector<Point3f> objectPoints;
calcChessboardCorners(patternSize, squareSize, objectPoints);
FileStorage fs(intrinsicsPath, FileStorage::READ);
FileStorage fs( samples::findFile( intrinsicsPath ), FileStorage::READ);
Mat cameraMatrix, distCoeffs;
fs["camera_matrix"] >> cameraMatrix;
fs["distortion_coefficients"] >> distCoeffs;
@ -170,9 +170,9 @@ void homographyFromCameraDisplacement(const string &img1Path, const string &img2
const char* params
= "{ help h | | print usage }"
"{ image1 | ../data/left02.jpg | path to the source chessboard image }"
"{ image2 | ../data/left01.jpg | path to the desired chessboard image }"
"{ intrinsics | ../data/left_intrinsics.yml | path to camera intrinsics }"
"{ image1 | left02.jpg | path to the source chessboard image }"
"{ image2 | left01.jpg | path to the desired chessboard image }"
"{ intrinsics | left_intrinsics.yml | path to camera intrinsics }"
"{ width bw | 9 | chessboard width }"
"{ height bh | 6 | chessboard height }"
"{ square_size | 0.025 | chessboard square size }";

10
samples/cpp/tutorial_code/features2D/Homography/panorama_stitching_rotating_camera.cpp
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@ -10,8 +10,8 @@ namespace
{
void basicPanoramaStitching(const string &img1Path, const string &img2Path)
{
Mat img1 = imread(img1Path);
Mat img2 = imread(img2Path);
Mat img1 = imread( samples::findFile( img1Path ) );
Mat img2 = imread( samples::findFile( img2Path ) );
//! [camera-pose-from-Blender-at-location-1]
Mat c1Mo = (Mat_<double>(4,4) << 0.9659258723258972, 0.2588190734386444, 0.0, 1.5529145002365112,
@ -67,9 +67,9 @@ void basicPanoramaStitching(const string &img1Path, const string &img2Path)
}
const char* params
= "{ help h | | print usage }"
"{ image1 | ../data/Blender_Suzanne1.jpg | path to the first Blender image }"
"{ image2 | ../data/Blender_Suzanne2.jpg | path to the second Blender image }";
= "{ help h | | print usage }"
"{ image1 | Blender_Suzanne1.jpg | path to the first Blender image }"
"{ image2 | Blender_Suzanne2.jpg | path to the second Blender image }";
}
int main(int argc, char *argv[])

8
samples/cpp/tutorial_code/features2D/Homography/perspective_correction.cpp
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@ -19,8 +19,8 @@ Scalar randomColor( RNG& rng )
void perspectiveCorrection(const string &img1Path, const string &img2Path, const Size &patternSize, RNG &rng)
{
Mat img1 = imread(img1Path);
Mat img2 = imread(img2Path);
Mat img1 = imread( samples::findFile(img1Path) );
Mat img2 = imread( samples::findFile(img2Path) );
//! [find-corners]
vector<Point2f> corners1, corners2;
@ -68,8 +68,8 @@ void perspectiveCorrection(const string &img1Path, const string &img2Path, const
const char* params
= "{ help h | | print usage }"
"{ image1 | ../data/left02.jpg | path to the source chessboard image }"
"{ image2 | ../data/left01.jpg | path to the desired chessboard image }"
"{ image1 | left02.jpg | path to the source chessboard image }"
"{ image2 | left01.jpg | path to the desired chessboard image }"
"{ width bw | 9 | chessboard width }"
"{ height bh | 6 | chessboard height }";
}

8
samples/cpp/tutorial_code/features2D/Homography/pose_from_homography.cpp
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@ -42,7 +42,7 @@ void calcChessboardCorners(Size boardSize, float squareSize, vector<Point3f>& co
void poseEstimationFromCoplanarPoints(const string &imgPath, const string &intrinsicsPath, const Size &patternSize,
const float squareSize)
{
Mat img = imread(imgPath);
Mat img = imread( samples::findFile( imgPath) );
Mat img_corners = img.clone(), img_pose = img.clone();
//! [find-chessboard-corners]
@ -69,7 +69,7 @@ void poseEstimationFromCoplanarPoints(const string &imgPath, const string &intri
//! [compute-object-points]
//! [load-intrinsics]
FileStorage fs(intrinsicsPath, FileStorage::READ);
FileStorage fs( samples::findFile( intrinsicsPath ), FileStorage::READ);
Mat cameraMatrix, distCoeffs;
fs["camera_matrix"] >> cameraMatrix;
fs["distortion_coefficients"] >> distCoeffs;
@ -126,8 +126,8 @@ void poseEstimationFromCoplanarPoints(const string &imgPath, const string &intri
const char* params
= "{ help h | | print usage }"
"{ image | ../data/left04.jpg | path to a chessboard image }"
"{ intrinsics | ../data/left_intrinsics.yml | path to camera intrinsics }"
"{ image | left04.jpg | path to a chessboard image }"
"{ intrinsics | left_intrinsics.yml | path to camera intrinsics }"
"{ width bw | 9 | chessboard width }"
"{ height bh | 6 | chessboard height }"
"{ square_size | 0.025 | chessboard square size }";

10
samples/cpp/tutorial_code/features2D/feature_description/SURF_matching_Demo.cpp
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@ -11,15 +11,15 @@ using std::cout;
using std::endl;
const char* keys =
"{ help h | | Print help message. }"
"{ input1 | ../data/box.png | Path to input image 1. }"
"{ input2 | ../data/box_in_scene.png | Path to input image 2. }";
"{ help h | | Print help message. }"
"{ input1 | box.png | Path to input image 1. }"
"{ input2 | box_in_scene.png | Path to input image 2. }";
int main( int argc, char* argv[] )
{
CommandLineParser parser( argc, argv, keys );
Mat img1 = imread( parser.get<String>("input1"), IMREAD_GRAYSCALE );
Mat img2 = imread( parser.get<String>("input2"), IMREAD_GRAYSCALE );
Mat img1 = imread( samples::findFile( parser.get<String>("input1") ), IMREAD_GRAYSCALE );
Mat img2 = imread( samples::findFile( parser.get<String>("input2") ), IMREAD_GRAYSCALE );
if ( img1.empty() || img2.empty() )
{
cout << "Could not open or find the image!\n" << endl;

4
samples/cpp/tutorial_code/features2D/feature_detection/SURF_detection_Demo.cpp
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@ -12,8 +12,8 @@ using std::endl;
int main( int argc, char* argv[] )
{
CommandLineParser parser( argc, argv, "{@input | ../data/box.png | input image}" );
Mat src = imread( parser.get<String>( "@input" ), IMREAD_GRAYSCALE );
CommandLineParser parser( argc, argv, "{@input | box.png | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_GRAYSCALE );
if ( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;

10
samples/cpp/tutorial_code/features2D/feature_flann_matcher/SURF_FLANN_matching_Demo.cpp
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@ -11,15 +11,15 @@ using std::cout;
using std::endl;
const char* keys =
"{ help h | | Print help message. }"
"{ input1 | ../data/box.png | Path to input image 1. }"
"{ input2 | ../data/box_in_scene.png | Path to input image 2. }";
"{ help h | | Print help message. }"
"{ input1 | box.png | Path to input image 1. }"
"{ input2 | box_in_scene.png | Path to input image 2. }";
int main( int argc, char* argv[] )
{
CommandLineParser parser( argc, argv, keys );
Mat img1 = imread( parser.get<String>("input1"), IMREAD_GRAYSCALE );
Mat img2 = imread( parser.get<String>("input2"), IMREAD_GRAYSCALE );
Mat img1 = imread( samples::findFile( parser.get<String>("input1") ), IMREAD_GRAYSCALE );
Mat img2 = imread( samples::findFile( parser.get<String>("input2") ), IMREAD_GRAYSCALE );
if ( img1.empty() || img2.empty() )
{
cout << "Could not open or find the image!\n" << endl;

10
samples/cpp/tutorial_code/features2D/feature_homography/SURF_FLANN_matching_homography_Demo.cpp
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@ -13,15 +13,15 @@ using std::cout;
using std::endl;
const char* keys =
"{ help h | | Print help message. }"
"{ input1 | ../data/box.png | Path to input image 1. }"
"{ input2 | ../data/box_in_scene.png | Path to input image 2. }";
"{ help h | | Print help message. }"
"{ input1 | box.png | Path to input image 1. }"
"{ input2 | box_in_scene.png | Path to input image 2. }";
int main( int argc, char* argv[] )
{
CommandLineParser parser( argc, argv, keys );
Mat img_object = imread( parser.get<String>("input1"), IMREAD_GRAYSCALE );
Mat img_scene = imread( parser.get<String>("input2"), IMREAD_GRAYSCALE );
Mat img_object = imread( samples::findFile( parser.get<String>("input1") ), IMREAD_GRAYSCALE );
Mat img_scene = imread( samples::findFile( parser.get<String>("input2") ), IMREAD_GRAYSCALE );
if ( img_object.empty() || img_scene.empty() )
{
cout << "Could not open or find the image!\n" << endl;

7
samples/cpp/tutorial_code/introduction/display_image/display_image.cpp
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@ -4,19 +4,18 @@
#include <opencv2/highgui.hpp>
#include <iostream>
#include <string>
//! [includes]
//! [namespace]
using namespace cv;
using namespace std;
//! [namespace]
using namespace std;
int main( int argc, char** argv )
{
//! [load]
String imageName( "../data/HappyFish.jpg" ); // by default
String imageName( "HappyFish.jpg" ); // by default
if( argc > 1)
{
imageName = argv[1];
@ -28,7 +27,7 @@ int main( int argc, char** argv )
//! [mat]
//! [imread]
image = imread( imageName, IMREAD_COLOR ); // Read the file
image = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Read the file
//! [imread]
if( image.empty() ) // Check for invalid input

4
samples/cpp/tutorial_code/introduction/windows_visual_studio_opencv/introduction_windows_vs.cpp
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@ -10,7 +10,7 @@ int main( int argc, char** argv )
{
if( argc != 2)
{
cout <<" Usage: display_image ImageToLoadAndDisplay" << endl;
cout <<" Usage: " << argv[0] << " ImageToLoadAndDisplay" << endl;
return -1;
}
@ -28,4 +28,4 @@ int main( int argc, char** argv )
waitKey(0); // Wait for a keystroke in the window
return 0;
}
}

6
samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp
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@ -96,11 +96,11 @@ int main(int argc, char** argv)
{
//! [pre-process]
// Load image
CommandLineParser parser(argc, argv, "{@input | ../data/pca_test1.jpg | input image}");
CommandLineParser parser(argc, argv, "{@input | pca_test1.jpg | input image}");
parser.about( "This program demonstrates how to use OpenCV PCA to extract the orientation of an object.\n" );
parser.printMessage();
Mat src = imread(parser.get<String>("@input"));
Mat src = imread( samples::findFile( parser.get<String>("@input") ) );
// Check if image is loaded successfully
if(src.empty())
@ -142,5 +142,5 @@ int main(int argc, char** argv)
imshow("output", src);
waitKey();
return 0;
return EXIT_SUCCESS;
}

10
samples/cpp/tutorial_code/objectDetection/objectDetection.cpp
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@ -1,7 +1,7 @@
#include "opencv2/objdetect.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
using namespace std;
@ -19,16 +19,16 @@ int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv,
"{help h||}"
"{face_cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|Path to face cascade.}"
"{eyes_cascade|../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|Path to eyes cascade.}"
"{face_cascade|data/haarcascades/haarcascade_frontalface_alt.xml|Path to face cascade.}"
"{eyes_cascade|data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|Path to eyes cascade.}"
"{camera|0|Camera device number.}");
parser.about( "\nThis program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream.\n"
"You can use Haar or LBP features.\n\n" );
parser.printMessage();
String face_cascade_name = parser.get<String>("face_cascade");
String eyes_cascade_name = parser.get<String>("eyes_cascade");
String face_cascade_name = samples::findFile( parser.get<String>("face_cascade") );
String eyes_cascade_name = samples::findFile( parser.get<String>("eyes_cascade") );
//-- 1. Load the cascades
if( !face_cascade.load( face_cascade_name ) )

10
samples/cpp/tutorial_code/photo/decolorization/decolor.cpp
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@ -26,18 +26,18 @@ using namespace cv;
int main( int argc, char *argv[] )
{
CommandLineParser parser( argc, argv, "{@input | ../data/HappyFish.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
CommandLineParser parser( argc, argv, "{@input | HappyFish.jpg | input image}" );
Mat src = imread( samples::findFile( parser.get<String>( "@input" ) ), IMREAD_COLOR );
if ( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "Usage: " << argv[0] << " <Input image>" << endl;
return -1;
return EXIT_FAILURE;
}
Mat gray = Mat( src.size(), CV_8UC1 );
Mat color_boost = Mat( src.size(), CV_8UC3 );
Mat gray, color_boost;
decolor( src, gray, color_boost );
imshow( "Source Image", src );
imshow( "grayscale", gray );
imshow( "color_boost", color_boost );
waitKey(0);

4
samples/cpp/tutorial_code/photo/non_photorealistic_rendering/npr_demo.cpp
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@ -25,8 +25,8 @@ using namespace cv;
int main(int argc, char* argv[])
{
int num,type;
CommandLineParser parser(argc, argv, "{@input | ../data/lena.jpg | input image}");
Mat src = imread(parser.get<String>("@input"), IMREAD_COLOR);
CommandLineParser parser(argc, argv, "{@input | lena.jpg | input image}");
Mat src = imread( samples::findFile( parser.get<String>("@input") ), IMREAD_COLOR);
if(src.empty())
{

8
samples/cpp/tutorial_code/video/bg_sub.cpp
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@ -16,9 +16,9 @@ using namespace cv;
using namespace std;
const char* params
= "{ help h | | Print usage }"
"{ input | ../data/vtest.avi | Path to a video or a sequence of image }"
"{ algo | MOG2 | Background subtraction method (KNN, MOG2) }";
= "{ help h | | Print usage }"
"{ input | vtest.avi | Path to a video or a sequence of image }"
"{ algo | MOG2 | Background subtraction method (KNN, MOG2) }";
int main(int argc, char* argv[])
{
@ -41,7 +41,7 @@ int main(int argc, char* argv[])
//! [create]
//! [capture]
VideoCapture capture(parser.get<String>("input"));
VideoCapture capture( samples::findFile( parser.get<String>("input") ) );
if (!capture.isOpened()){
//error in opening the video input
cerr << "Unable to open: " << parser.get<String>("input") << endl;

4
samples/cpp/tutorial_code/video/optical_flow/optical_flow.cpp
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@ -16,7 +16,7 @@ int main(int argc, char **argv)
" https://www.bogotobogo.com/python/OpenCV_Python/images/mean_shift_tracking/slow_traffic_small.mp4";
const string keys =
"{ h help | | print this help message }"
"{ @image |<none>| path to image file }";
"{ @image | vtest.avi | path to image file }";
CommandLineParser parser(argc, argv, keys);
parser.about(about);
if (parser.has("help"))
@ -24,7 +24,7 @@ int main(int argc, char **argv)
parser.printMessage();
return 0;
}
string filename = parser.get<string>("@image");
string filename = samples::findFile(parser.get<string>("@image"));
if (!parser.check())
{
parser.printErrors();

12
samples/cpp/tutorial_code/xfeatures2D/LATCH_match.cpp
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@ -24,14 +24,14 @@ const float nn_match_ratio = 0.8f; // Nearest neighbor matching ratio
int main(int argc, char* argv[])
{
CommandLineParser parser(argc, argv,
"{@img1 | ../data/graf1.png | input image 1}"
"{@img2 | ../data/graf3.png | input image 2}"
"{@homography | ../data/H1to3p.xml | homography matrix}");
Mat img1 = imread(parser.get<String>("@img1"), IMREAD_GRAYSCALE);
Mat img2 = imread(parser.get<String>("@img2"), IMREAD_GRAYSCALE);
"{@img1 | graf1.png | input image 1}"
"{@img2 | graf3.png | input image 2}"
"{@homography | H1to3p.xml | homography matrix}");
Mat img1 = imread( samples::findFile( parser.get<String>("@img1") ), IMREAD_GRAYSCALE);
Mat img2 = imread( samples::findFile( parser.get<String>("@img2") ), IMREAD_GRAYSCALE);
Mat homography;
FileStorage fs(parser.get<String>("@homography"), FileStorage::READ);
FileStorage fs( samples::findFile( parser.get<String>("@homography") ), FileStorage::READ);
fs.getFirstTopLevelNode() >> homography;
vector<KeyPoint> kpts1, kpts2;

8
samples/cpp/warpPerspective_demo.cpp
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@ -20,7 +20,7 @@ static void help(char** argv)
cout << "\nThis is a demo program shows how perspective transformation applied on an image, \n"
"Using OpenCV version " << CV_VERSION << endl;
cout << "\nUsage:\n" << argv[0] << " [image_name -- Default data/right.jpg]\n" << endl;
cout << "\nUsage:\n" << argv[0] << " [image_name -- Default right.jpg]\n" << endl;
cout << "\nHot keys: \n"
"\tESC, q - quit the program\n"
@ -45,7 +45,7 @@ bool validation_needed = true;
int main(int argc, char** argv)
{
help(argv);
CommandLineParser parser(argc, argv, "{@input| data/right.jpg |}");
CommandLineParser parser(argc, argv, "{@input| right.jpg |}");
string filename = samples::findFile(parser.get<string>("@input"));
Mat original_image = imread( filename );
@ -81,7 +81,7 @@ int main(int argc, char** argv)
{
line(image, roi_corners[i-1], roi_corners[(i)], Scalar(0, 0, 255), 2);
circle(image, roi_corners[i], 5, Scalar(0, 255, 0), 3);
putText(image, labels[i].c_str(), roi_corners[i], QT_FONT_NORMAL, 0.8, Scalar(255, 0, 0), 2);
putText(image, labels[i].c_str(), roi_corners[i], FONT_HERSHEY_SIMPLEX, 0.8, Scalar(255, 0, 0), 2);
}
}
imshow( windowTitle, image );
@ -94,7 +94,7 @@ int main(int argc, char** argv)
{
line(image, roi_corners[i], roi_corners[(i + 1) % 4], Scalar(0, 0, 255), 2);
circle(image, roi_corners[i], 5, Scalar(0, 255, 0), 3);
putText(image, labels[i].c_str(), roi_corners[i], QT_FONT_NORMAL, 0.8, Scalar(255, 0, 0), 2);
putText(image, labels[i].c_str(), roi_corners[i], FONT_HERSHEY_SIMPLEX, 0.8, Scalar(255, 0, 0), 2);
}
imshow( windowTitle, image );

12
samples/cpp/watershed.cpp
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@ -9,11 +9,10 @@
using namespace cv;
using namespace std;
static void help()
static void help(char** argv)
{
cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n"
"Usage:\n"
"./watershed [image_name -- default is fruits.jpg]\n" << endl;
"Usage:\n" << argv[0] <<" [image_name -- default is fruits.jpg]\n" << endl;
cout << "Hot keys: \n"
@ -51,7 +50,7 @@ int main( int argc, char** argv )
cv::CommandLineParser parser(argc, argv, "{help h | | }{ @input | fruits.jpg | }");
if (parser.has("help"))
{
help();
help(argv);
return 0;
}
string filename = samples::findFile(parser.get<string>("@input"));
@ -59,10 +58,11 @@ int main( int argc, char** argv )
if( img0.empty() )
{
cout << "Couldn't open image " << filename << ". Usage: watershed <image_name>\n";
cout << "Couldn't open image ";
help(argv);
return 0;
}
help();
help(argv);
namedWindow( "image", 1 );
img0.copyTo(img);

1
samples/tapi/hog.cpp
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@ -7,7 +7,6 @@
#include <opencv2/core/ocl.hpp>
#include <opencv2/core/utility.hpp>
#include "opencv2/imgcodecs.hpp"
#include <opencv2/video.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/objdetect.hpp>

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