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samples: use findFile() in "cpp"

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pull/12354/head
Alexander Alekhin 6 years ago committed by Alexander Alekhin
parent 2fa9bd221d
commit c4c31f5bba
52 changed files with 355 additions and 282 deletions
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  1. 2
      samples/cpp/application_trace.cpp
  2. 3
      samples/cpp/bgfg_segm.cpp
  3. 25
      samples/cpp/calibration.cpp
  4. 54
      samples/cpp/cloning_demo.cpp
  5. 12
      samples/cpp/cloning_gui.cpp
  6. 4
      samples/cpp/connected_components.cpp
  7. 4
      samples/cpp/create_mask.cpp
  8. 2
      samples/cpp/dbt_face_detection.cpp
  9. 6
      samples/cpp/demhist.cpp
  10. 26
      samples/cpp/detect_blob.cpp
  11. 2
      samples/cpp/detect_mser.cpp
  12. 6
      samples/cpp/dft.cpp
  13. 6
      samples/cpp/distrans.cpp
  14. 6
      samples/cpp/edge.cpp
  15. 32
      samples/cpp/facedetect.cpp
  16. 22
      samples/cpp/facial_features.cpp
  17. 2
      samples/cpp/falsecolor.cpp
  18. 6
      samples/cpp/ffilldemo.cpp
  19. 4
      samples/cpp/filestorage.cpp
  20. 6
      samples/cpp/fitellipse.cpp
  21. 4
      samples/cpp/grabcut.cpp
  22. 1
      samples/cpp/gstreamer_pipeline.cpp
  23. 6
      samples/cpp/image.cpp
  24. 12
      samples/cpp/image_alignment.cpp
  25. 12
      samples/cpp/inpaint.cpp
  26. 35
      samples/cpp/laplace.cpp
  27. 6
      samples/cpp/letter_recog.cpp
  28. 104
      samples/cpp/live_detect_qrcode.cpp
  29. 2
      samples/cpp/logistic_regression.cpp
  30. 4
      samples/cpp/lsd_lines.cpp
  31. 24
      samples/cpp/mask_tmpl.cpp
  32. 24
      samples/cpp/matchmethod_orb_akaze_brisk.cpp
  33. 2
      samples/cpp/minarea.cpp
  34. 19
      samples/cpp/morphology2.cpp
  35. 14
      samples/cpp/npr_demo.cpp
  36. 5
      samples/cpp/peopledetect.cpp
  37. 5
      samples/cpp/points_classifier.cpp
  38. 2
      samples/cpp/polar_transforms.cpp
  39. 2
      samples/cpp/segment_objects.cpp
  40. 2
      samples/cpp/select3dobj.cpp
  41. 11
      samples/cpp/smiledetect.cpp
  42. 9
      samples/cpp/squares.cpp
  43. 9
      samples/cpp/stereo_calib.cpp
  44. 4
      samples/cpp/stereo_match.cpp
  45. 2
      samples/cpp/stitching.cpp
  46. 4
      samples/cpp/stitching_detailed.cpp
  47. 2
      samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/main_detection.cpp
  48. 4
      samples/cpp/tvl1_optical_flow.cpp
  49. 6
      samples/cpp/warpPerspective_demo.cpp
  50. 8
      samples/cpp/watershed.cpp
  51. 15
      samples/data/calibration.yml
  52. 6
      samples/python/facedetect.py

2
samples/cpp/application_trace.cpp
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@ -41,7 +41,7 @@ int main(int argc, char** argv)
if (video.size() == 1 && isdigit(video[0])) if (video.size() == 1 && isdigit(video[0]))
capture.open(parser.get<int>("@video")); capture.open(parser.get<int>("@video"));
else else
capture.open(video); capture.open(samples::findFileOrKeep(video)); // keep GStreamer pipelines
int nframes = 0; int nframes = 0;
if (capture.isOpened()) if (capture.isOpened())
{ {

3
samples/cpp/bgfg_segm.cpp
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@ -38,7 +38,10 @@ int main(int argc, const char** argv)
if (file.empty()) if (file.empty())
cap.open(camera); cap.open(camera);
else else
{
file = samples::findFileOrKeep(file); // ignore gstreamer pipelines
cap.open(file.c_str()); cap.open(file.c_str());
}
if (!cap.isOpened()) if (!cap.isOpened())
{ {
cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl; cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl;

25
samples/cpp/calibration.cpp
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@ -254,12 +254,31 @@ static bool readStringList( const string& filename, vector<string>& l )
FileStorage fs(filename, FileStorage::READ); FileStorage fs(filename, FileStorage::READ);
if( !fs.isOpened() ) if( !fs.isOpened() )
return false; return false;
size_t dir_pos = filename.rfind('/');
if (dir_pos == string::npos)
dir_pos = filename.rfind('\\');
FileNode n = fs.getFirstTopLevelNode(); FileNode n = fs.getFirstTopLevelNode();
if( n.type() != FileNode::SEQ ) if( n.type() != FileNode::SEQ )
return false; return false;
FileNodeIterator it = n.begin(), it_end = n.end(); FileNodeIterator it = n.begin(), it_end = n.end();
for( ; it != it_end; ++it ) for( ; it != it_end; ++it )
l.push_back((string)*it); {
string fname = (string)*it;
if (dir_pos != string::npos)
{
string fpath = samples::findFile(filename.substr(0, dir_pos + 1) + fname, false);
if (fpath.empty())
{
fpath = samples::findFile(fname);
}
fname = fpath;
}
else
{
fname = samples::findFile(fname);
}
l.push_back(fname);
}
return true; return true;
} }
@ -383,10 +402,10 @@ int main( int argc, char** argv )
if( !inputFilename.empty() ) if( !inputFilename.empty() )
{ {
if( !videofile && readStringList(inputFilename, imageList) ) if( !videofile && readStringList(samples::findFile(inputFilename), imageList) )
mode = CAPTURING; mode = CAPTURING;
else else
capture.open(inputFilename); capture.open(samples::findFileOrKeep(inputFilename));
} }
else else
capture.open(cameraId); capture.open(cameraId);

54
samples/cpp/cloning_demo.cpp
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@ -17,8 +17,7 @@
* The program takes as input a source and a destination image (for 1-3 methods) * The program takes as input a source and a destination image (for 1-3 methods)
* and outputs the cloned image. * and outputs the cloned image.
* *
* Download test images from opencv_extra folder @github. * Download test images from opencv_extra repository.
*
*/ */
#include "opencv2/photo.hpp" #include "opencv2/photo.hpp"
@ -27,7 +26,6 @@
#include "opencv2/highgui.hpp" #include "opencv2/highgui.hpp"
#include "opencv2/core.hpp" #include "opencv2/core.hpp"
#include <iostream> #include <iostream>
#include <stdlib.h>
using namespace std; using namespace std;
using namespace cv; using namespace cv;
@ -35,6 +33,7 @@ using namespace cv;
int main() int main()
{ {
cout << endl; cout << endl;
cout << "Note: specify OPENCV_SAMPLES_DATA_PATH_HINT=<opencv_extra>/testdata/cv" << endl << endl;
cout << "Cloning Module" << endl; cout << "Cloning Module" << endl;
cout << "---------------" << endl; cout << "---------------" << endl;
cout << "Options: " << endl; cout << "Options: " << endl;
@ -54,9 +53,9 @@ int main()
if(num == 1) if(num == 1)
{ {
string folder = "cloning/Normal_Cloning/"; string folder = "cloning/Normal_Cloning/";
string original_path1 = folder + "source1.png"; string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = folder + "destination1.png"; string original_path2 = samples::findFile(folder + "destination1.png");
string original_path3 = folder + "mask.png"; string original_path3 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR); Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR); Mat destination = imread(original_path2, IMREAD_COLOR);
@ -86,14 +85,14 @@ int main()
seamlessClone(source, destination, mask, p, result, 1); seamlessClone(source, destination, mask, p, result, 1);
imshow("Output",result); imshow("Output",result);
imwrite(folder + "cloned.png", result); imwrite("cloned.png", result);
} }
else if(num == 2) else if(num == 2)
{ {
string folder = "cloning/Mixed_Cloning/"; string folder = "cloning/Mixed_Cloning/";
string original_path1 = folder + "source1.png"; string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = folder + "destination1.png"; string original_path2 = samples::findFile(folder + "destination1.png");
string original_path3 = folder + "mask.png"; string original_path3 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR); Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR); Mat destination = imread(original_path2, IMREAD_COLOR);
@ -123,14 +122,14 @@ int main()
seamlessClone(source, destination, mask, p, result, 2); seamlessClone(source, destination, mask, p, result, 2);
imshow("Output",result); imshow("Output",result);
imwrite(folder + "cloned.png", result); imwrite("cloned.png", result);
} }
else if(num == 3) else if(num == 3)
{ {
string folder = "cloning/Monochrome_Transfer/"; string folder = "cloning/Monochrome_Transfer/";
string original_path1 = folder + "source1.png"; string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = folder + "destination1.png"; string original_path2 = samples::findFile(folder + "destination1.png");
string original_path3 = folder + "mask.png"; string original_path3 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR); Mat source = imread(original_path1, IMREAD_COLOR);
Mat destination = imread(original_path2, IMREAD_COLOR); Mat destination = imread(original_path2, IMREAD_COLOR);
@ -160,13 +159,13 @@ int main()
seamlessClone(source, destination, mask, p, result, 3); seamlessClone(source, destination, mask, p, result, 3);
imshow("Output",result); imshow("Output",result);
imwrite(folder + "cloned.png", result); imwrite("cloned.png", result);
} }
else if(num == 4) else if(num == 4)
{ {
string folder = "cloning/Color_Change/"; string folder = "cloning/color_change/";
string original_path1 = folder + "source1.png"; string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = folder + "mask.png"; string original_path2 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR); Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR); Mat mask = imread(original_path2, IMREAD_COLOR);
@ -187,13 +186,13 @@ int main()
colorChange(source, mask, result, 1.5, .5, .5); colorChange(source, mask, result, 1.5, .5, .5);
imshow("Output",result); imshow("Output",result);
imwrite(folder + "cloned.png", result); imwrite("cloned.png", result);
} }
else if(num == 5) else if(num == 5)
{ {
string folder = "cloning/Illumination_Change/"; string folder = "cloning/Illumination_Change/";
string original_path1 = folder + "source1.png"; string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = folder + "mask.png"; string original_path2 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR); Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR); Mat mask = imread(original_path2, IMREAD_COLOR);
@ -214,13 +213,13 @@ int main()
illuminationChange(source, mask, result, 0.2f, 0.4f); illuminationChange(source, mask, result, 0.2f, 0.4f);
imshow("Output",result); imshow("Output",result);
imwrite(folder + "cloned.png", result); imwrite("cloned.png", result);
} }
else if(num == 6) else if(num == 6)
{ {
string folder = "cloning/Texture_Flattening/"; string folder = "cloning/Texture_Flattening/";
string original_path1 = folder + "source1.png"; string original_path1 = samples::findFile(folder + "source1.png");
string original_path2 = folder + "mask.png"; string original_path2 = samples::findFile(folder + "mask.png");
Mat source = imread(original_path1, IMREAD_COLOR); Mat source = imread(original_path1, IMREAD_COLOR);
Mat mask = imread(original_path2, IMREAD_COLOR); Mat mask = imread(original_path2, IMREAD_COLOR);
@ -241,7 +240,12 @@ int main()
textureFlattening(source, mask, result, 30, 45, 3); textureFlattening(source, mask, result, 30, 45, 3);
imshow("Output",result); imshow("Output",result);
imwrite(folder + "cloned.png", result); imwrite("cloned.png", result);
}
else
{
cerr << "Invalid selection: " << num << endl;
exit(1);
} }
waitKey(0); waitKey(0);
} }

12
samples/cpp/cloning_gui.cpp
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@ -30,14 +30,12 @@
* Result: The cloned image will be displayed. * Result: The cloned image will be displayed.
*/ */
#include <signal.h>
#include "opencv2/photo.hpp" #include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp" #include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp" #include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp" #include "opencv2/highgui.hpp"
#include "opencv2/core.hpp" #include "opencv2/core.hpp"
#include <iostream> #include <iostream>
#include <stdlib.h>
// we're NOT "using namespace std;" here, to avoid collisions between the beta variable and std::beta in c++17 // we're NOT "using namespace std;" here, to avoid collisions between the beta variable and std::beta in c++17
using std::cin; using std::cin;
@ -320,9 +318,9 @@ int main()
cout << "Enter Destination Image: "; cout << "Enter Destination Image: ";
cin >> dest; cin >> dest;
img0 = imread(src); img0 = imread(samples::findFile(src));
img2 = imread(dest); img2 = imread(samples::findFile(dest));
if(img0.empty()) if(img0.empty())
{ {
@ -370,7 +368,7 @@ int main()
cout << "Blue: "; cout << "Blue: ";
cin >> blue; cin >> blue;
img0 = imread(src); img0 = imread(samples::findFile(src));
if(img0.empty()) if(img0.empty())
{ {
@ -400,7 +398,7 @@ int main()
cout << "beta: "; cout << "beta: ";
cin >> beta; cin >> beta;
img0 = imread(src); img0 = imread(samples::findFile(src));
if(img0.empty()) if(img0.empty())
{ {
@ -433,7 +431,7 @@ int main()
cout << "kernel_size: "; cout << "kernel_size: ";
cin >> kernel_size; cin >> kernel_size;
img0 = imread(src); img0 = imread(samples::findFile(src));
if(img0.empty()) if(img0.empty())
{ {

4
samples/cpp/connected_components.cpp
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@ -35,14 +35,14 @@ static void on_trackbar(int, void*)
int main( int argc, const char** argv ) int main( int argc, const char** argv )
{ {
CommandLineParser parser(argc, argv, "{@image|../data/stuff.jpg|image for converting to a grayscale}"); CommandLineParser parser(argc, argv, "{@image|stuff.jpg|image for converting to a grayscale}");
parser.about("\nThis program demonstrates connected components and use of the trackbar\n"); parser.about("\nThis program demonstrates connected components and use of the trackbar\n");
parser.printMessage(); parser.printMessage();
cout << "\nThe image is converted to grayscale and displayed, another image has a trackbar\n" cout << "\nThe image is converted to grayscale and displayed, another image has a trackbar\n"
"that controls thresholding and thereby the extracted contours which are drawn in color\n"; "that controls thresholding and thereby the extracted contours which are drawn in color\n";
String inputImage = parser.get<string>(0); String inputImage = parser.get<string>(0);
img = imread(inputImage, IMREAD_GRAYSCALE); img = imread(samples::findFile(inputImage), IMREAD_GRAYSCALE);
if(img.empty()) if(img.empty())
{ {

4
samples/cpp/create_mask.cpp
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@ -95,7 +95,7 @@ void mouseHandler(int event, int x, int y, int, void*)
int main(int argc, char **argv) int main(int argc, char **argv)
{ {
CommandLineParser parser(argc, argv, "{@input | ../data/lena.jpg | input image}"); CommandLineParser parser(argc, argv, "{@input | lena.jpg | input image}");
parser.about("This program demonstrates using mouse events\n"); parser.about("This program demonstrates using mouse events\n");
parser.printMessage(); parser.printMessage();
cout << "\n\tleft mouse button - set a point to create mask shape\n" cout << "\n\tleft mouse button - set a point to create mask shape\n"
@ -103,7 +103,7 @@ int main(int argc, char **argv)
"\tmiddle mouse button - reset\n"; "\tmiddle mouse button - reset\n";
String input_image = parser.get<String>("@input"); String input_image = parser.get<String>("@input");
src = imread(input_image); src = imread(samples::findFile(input_image));
if (src.empty()) if (src.empty())
{ {

2
samples/cpp/dbt_face_detection.cpp
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@ -49,7 +49,7 @@ int main(int , char** )
return 1; return 1;
} }
std::string cascadeFrontalfilename = "../../data/lbpcascades/lbpcascade_frontalface.xml"; std::string cascadeFrontalfilename = samples::findFile("data/lbpcascades/lbpcascade_frontalface.xml");
cv::Ptr<cv::CascadeClassifier> cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename); cv::Ptr<cv::CascadeClassifier> cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename);
cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = makePtr<CascadeDetectorAdapter>(cascade); cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = makePtr<CascadeDetectorAdapter>(cascade);
if ( cascade->empty() ) if ( cascade->empty() )

6
samples/cpp/demhist.cpp
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@ -59,12 +59,12 @@ static void updateBrightnessContrast( int /*arg*/, void* )
static void help() static void help()
{ {
std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n" std::cout << "\nThis program demonstrates the use of calcHist() -- histogram creation.\n"
<< "Usage: \n" << "demhist [image_name -- Defaults to ../data/baboon.jpg]" << std::endl; << "Usage: \n" << "demhist [image_name -- Defaults to baboon.jpg]" << std::endl;
} }
const char* keys = const char* keys =
{ {
"{help h||}{@image|../data/baboon.jpg|input image file}" "{help h||}{@image|baboon.jpg|input image file}"
}; };
int main( int argc, const char** argv ) int main( int argc, const char** argv )
@ -78,7 +78,7 @@ int main( int argc, const char** argv )
string inputImage = parser.get<string>(0); string inputImage = parser.get<string>(0);
// Load the source image. HighGUI use. // Load the source image. HighGUI use.
image = imread( inputImage, 0 ); image = imread(samples::findFile(inputImage), IMREAD_GRAYSCALE);
if(image.empty()) if(image.empty())
{ {
std::cerr << "Cannot read image file: " << inputImage << std::endl; std::cerr << "Cannot read image file: " << inputImage << std::endl;

26
samples/cpp/detect_blob.cpp
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@ -14,7 +14,7 @@ static void help()
{ {
cout << "\n This program demonstrates how to use BLOB to detect and filter region \n" cout << "\n This program demonstrates how to use BLOB to detect and filter region \n"
"Usage: \n" "Usage: \n"
" ./detect_blob <image1(../data/detect_blob.png as default)>\n" " ./detect_blob <image1(detect_blob.png as default)>\n"
"Press a key when image window is active to change descriptor"; "Press a key when image window is active to change descriptor";
} }
@ -70,20 +70,19 @@ static String Legende(SimpleBlobDetector::Params &pAct)
int main(int argc, char *argv[]) int main(int argc, char *argv[])
{ {
vector<String> fileName; String fileName;
Mat img(600, 800, CV_8UC1); cv::CommandLineParser parser(argc, argv, "{@input |detect_blob.png| }{h help | | }");
cv::CommandLineParser parser(argc, argv, "{@input |../data/detect_blob.png| }{h help | | }");
if (parser.has("h")) if (parser.has("h"))
{ {
help(); help();
return 0; return 0;
} }
fileName.push_back(parser.get<string>("@input")); fileName = parser.get<string>("@input");
img = imread(fileName[0], IMREAD_COLOR); Mat img = imread(samples::findFile(fileName), IMREAD_COLOR);
if (img.rows*img.cols <= 0) if (img.empty())
{ {
cout << "Image " << fileName[0] << " is empty or cannot be found\n"; cout << "Image " << fileName << " is empty or cannot be found\n";
return(0); return 1;
} }
SimpleBlobDetector::Params pDefaultBLOB; SimpleBlobDetector::Params pDefaultBLOB;
@ -116,14 +115,17 @@ int main(int argc, char *argv[])
vector< Vec3b > palette; vector< Vec3b > palette;
for (int i = 0; i<65536; i++) for (int i = 0; i<65536; i++)
{ {
palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand())); uchar c1 = (uchar)rand();
uchar c2 = (uchar)rand();
uchar c3 = (uchar)rand();
palette.push_back(Vec3b(c1, c2, c3));
} }
help(); help();
// These descriptors are going to be detecting and computing BLOBS with 6 different params // These descriptors are going to be detecting and computing BLOBS with 6 different params
// Param for first BLOB detector we want all // Param for first BLOB detector we want all
typeDesc.push_back("BLOB"); // see http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html typeDesc.push_back("BLOB"); // see http://docs.opencv.org/3.4/d0/d7a/classcv_1_1SimpleBlobDetector.html
pBLOB.push_back(pDefaultBLOB); pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByArea = true; pBLOB.back().filterByArea = true;
pBLOB.back().minArea = 1; pBLOB.back().minArea = 1;
@ -150,7 +152,7 @@ int main(int argc, char *argv[])
pBLOB.back().filterByConvexity = true; pBLOB.back().filterByConvexity = true;
pBLOB.back().minConvexity = 0.; pBLOB.back().minConvexity = 0.;
pBLOB.back().maxConvexity = (float)0.9; pBLOB.back().maxConvexity = (float)0.9;
// Param for six BLOB detector we want blob with gravity center color equal to 0 bug #4321 must be fixed // Param for six BLOB detector we want blob with gravity center color equal to 0
typeDesc.push_back("BLOB"); typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB); pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByColor = true; pBLOB.back().filterByColor = true;

2
samples/cpp/detect_mser.cpp
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@ -412,7 +412,7 @@ int main(int argc, char *argv[])
string input = parser.get<string>("@input"); string input = parser.get<string>("@input");
if (!input.empty()) if (!input.empty())
{ {
imgOrig = imread(input, IMREAD_GRAYSCALE); imgOrig = imread(samples::findFile(input), IMREAD_GRAYSCALE);
blur(imgOrig, img, blurSize); blur(imgOrig, img, blurSize);
} }
else else

6
samples/cpp/dft.cpp
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@ -14,12 +14,12 @@ static void help()
printf("\nThis program demonstrated the use of the discrete Fourier transform (dft)\n" 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" "The dft of an image is taken and it's power spectrum is displayed.\n"
"Usage:\n" "Usage:\n"
"./dft [image_name -- default ../data/lena.jpg]\n"); "./dft [image_name -- default lena.jpg]\n");
} }
const char* keys = const char* keys =
{ {
"{help h||}{@image|../data/lena.jpg|input image file}" "{help h||}{@image|lena.jpg|input image file}"
}; };
int main(int argc, const char ** argv) int main(int argc, const char ** argv)
@ -32,7 +32,7 @@ int main(int argc, const char ** argv)
return 0; return 0;
} }
string filename = parser.get<string>(0); string filename = parser.get<string>(0);
Mat img = imread(filename, IMREAD_GRAYSCALE); Mat img = imread(samples::findFile(filename), IMREAD_GRAYSCALE);
if( img.empty() ) if( img.empty() )
{ {
help(); help();

6
samples/cpp/distrans.cpp
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@ -91,7 +91,7 @@ static void help()
{ {
printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n" printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
"Usage:\n" "Usage:\n"
"./distrans [image_name -- default image is ../data/stuff.jpg]\n" "./distrans [image_name -- default image is stuff.jpg]\n"
"\nHot keys: \n" "\nHot keys: \n"
"\tESC - quit the program\n" "\tESC - quit the program\n"
"\tC - use C/Inf metric\n" "\tC - use C/Inf metric\n"
@ -107,7 +107,7 @@ static void help()
const char* keys = const char* keys =
{ {
"{help h||}{@image |../data/stuff.jpg|input image file}" "{help h||}{@image |stuff.jpg|input image file}"
}; };
int main( int argc, const char** argv ) int main( int argc, const char** argv )
@ -117,7 +117,7 @@ int main( int argc, const char** argv )
if (parser.has("help")) if (parser.has("help"))
return 0; return 0;
string filename = parser.get<string>(0); string filename = parser.get<string>(0);
gray = imread(filename, 0); gray = imread(samples::findFile(filename), 0);
if(gray.empty()) if(gray.empty())
{ {
printf("Cannot read image file: %s\n", filename.c_str()); printf("Cannot read image file: %s\n", filename.c_str());

6
samples/cpp/edge.cpp
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@ -43,12 +43,12 @@ static void help()
{ {
printf("\nThis sample demonstrates Canny edge detection\n" printf("\nThis sample demonstrates Canny edge detection\n"
"Call:\n" "Call:\n"
" /.edge [image_name -- Default is ../data/fruits.jpg]\n\n"); " /.edge [image_name -- Default is fruits.jpg]\n\n");
} }
const char* keys = const char* keys =
{ {
"{help h||}{@image |../data/fruits.jpg|input image name}" "{help h||}{@image |fruits.jpg|input image name}"
}; };
int main( int argc, const char** argv ) int main( int argc, const char** argv )
@ -57,7 +57,7 @@ int main( int argc, const char** argv )
CommandLineParser parser(argc, argv, keys); CommandLineParser parser(argc, argv, keys);
string filename = parser.get<string>(0); string filename = parser.get<string>(0);
image = imread(filename, IMREAD_COLOR); image = imread(samples::findFile(filename), IMREAD_COLOR);
if(image.empty()) if(image.empty())
{ {
printf("Cannot read image file: %s\n", filename.c_str()); printf("Cannot read image file: %s\n", filename.c_str());

32
samples/cpp/facedetect.cpp
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@ -18,7 +18,7 @@ static void help()
" [--try-flip]\n" " [--try-flip]\n"
" [filename|camera_index]\n\n" " [filename|camera_index]\n\n"
"see facedetect.cmd for one call:\n" "see facedetect.cmd for one call:\n"
"./facedetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml\" --scale=1.3\n\n" "./facedetect --cascade=\"data/haarcascades/haarcascade_frontalface_alt.xml\" --nested-cascade=\"data/haarcascades/haarcascade_eye_tree_eyeglasses.xml\" --scale=1.3\n\n"
"During execution:\n\tHit any key to quit.\n" "During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl; "\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
} }
@ -41,8 +41,8 @@ int main( int argc, const char** argv )
cv::CommandLineParser parser(argc, argv, cv::CommandLineParser parser(argc, argv,
"{help h||}" "{help h||}"
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}" "{cascade|data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{nested-cascade|../../data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}" "{nested-cascade|data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}"
"{scale|1|}{try-flip||}{@filename||}" "{scale|1|}{try-flip||}{@filename||}"
); );
if (parser.has("help")) if (parser.has("help"))
@ -62,9 +62,9 @@ int main( int argc, const char** argv )
parser.printErrors(); parser.printErrors();
return 0; return 0;
} }
if ( !nestedCascade.load( nestedCascadeName ) ) if (!nestedCascade.load(samples::findFileOrKeep(nestedCascadeName)))
cerr << "WARNING: Could not load classifier cascade for nested objects" << endl; cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
if( !cascade.load( cascadeName ) ) if (!cascade.load(samples::findFile(cascadeName)))
{ {
cerr << "ERROR: Could not load classifier cascade" << endl; cerr << "ERROR: Could not load classifier cascade" << endl;
help(); help();
@ -74,21 +74,31 @@ int main( int argc, const char** argv )
{ {
int camera = inputName.empty() ? 0 : inputName[0] - '0'; int camera = inputName.empty() ? 0 : inputName[0] - '0';
if(!capture.open(camera)) if(!capture.open(camera))
{
cout << "Capture from camera #" << camera << " didn't work" << endl; cout << "Capture from camera #" << camera << " didn't work" << endl;
return 1;
}
} }
else if( inputName.size() ) else if (!inputName.empty())
{
image = imread(samples::findFileOrKeep(inputName), IMREAD_COLOR);
if (image.empty())
{ {
image = imread( inputName, 1 ); if (!capture.open(samples::findFileOrKeep(inputName)))
if( image.empty() )
{ {
if(!capture.open( inputName ))
cout << "Could not read " << inputName << endl; cout << "Could not read " << inputName << endl;
return 1;
}
} }
} }
else else
{ {
image = imread( "../data/lena.jpg", 1 ); image = imread(samples::findFile("lena.jpg"), IMREAD_COLOR);
if(image.empty()) cout << "Couldn't read ../data/lena.jpg" << endl; if (image.empty())
{
cout << "Couldn't read lena.jpg" << endl;
return 1;
}
} }
if( capture.isOpened() ) if( capture.isOpened() )

22
samples/cpp/facial_features.cpp
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@ -32,14 +32,14 @@ string face_cascade_path, eye_cascade_path, nose_cascade_path, mouth_cascade_pat
int main(int argc, char** argv) int main(int argc, char** argv)
{ {
cv::CommandLineParser parser(argc, argv, cv::CommandLineParser parser(argc, argv,
"{eyes||}{nose||}{mouth||}{help h||}"); "{eyes||}{nose||}{mouth||}{help h||}{@image||}{@facexml||}");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
return 0; return 0;
} }
input_image_path = parser.get<string>(0); input_image_path = parser.get<string>("@image");
face_cascade_path = parser.get<string>(1); face_cascade_path = parser.get<string>("@facexml");
eye_cascade_path = parser.has("eyes") ? parser.get<string>("eyes") : ""; eye_cascade_path = parser.has("eyes") ? parser.get<string>("eyes") : "";
nose_cascade_path = parser.has("nose") ? parser.get<string>("nose") : ""; nose_cascade_path = parser.has("nose") ? parser.get<string>("nose") : "";
mouth_cascade_path = parser.has("mouth") ? parser.get<string>("mouth") : ""; mouth_cascade_path = parser.has("mouth") ? parser.get<string>("mouth") : "";
@ -50,7 +50,7 @@ int main(int argc, char** argv)
} }
// Load image and cascade classifier files // Load image and cascade classifier files
Mat image; Mat image;
image = imread(input_image_path); image = imread(samples::findFile(input_image_path));
// Detect faces and facial features // Detect faces and facial features
vector<Rect_<int> > faces; vector<Rect_<int> > faces;
@ -92,14 +92,15 @@ static void help()
" \nhttps://github.com/opencv/opencv/tree/3.4/data/haarcascades"; " \nhttps://github.com/opencv/opencv/tree/3.4/data/haarcascades";
cout << "\n\nThe classifiers for nose and mouth can be downloaded from : " cout << "\n\nThe classifiers for nose and mouth can be downloaded from : "
" \nhttps://github.com/opencv/opencv_contrib/tree/master/modules/face/data/cascades\n"; " \nhttps://github.com/opencv/opencv_contrib/tree/3.4/modules/face/data/cascades\n";
} }
static void detectFaces(Mat& img, vector<Rect_<int> >& faces, string cascade_path) static void detectFaces(Mat& img, vector<Rect_<int> >& faces, string cascade_path)
{ {
CascadeClassifier face_cascade; CascadeClassifier face_cascade;
face_cascade.load(cascade_path); face_cascade.load(samples::findFile(cascade_path));
if (!face_cascade.empty())
face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30)); face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return; return;
} }
@ -186,8 +187,9 @@ static void detectFacialFeaures(Mat& img, const vector<Rect_<int> > faces, strin
static void detectEyes(Mat& img, vector<Rect_<int> >& eyes, string cascade_path) static void detectEyes(Mat& img, vector<Rect_<int> >& eyes, string cascade_path)
{ {
CascadeClassifier eyes_cascade; CascadeClassifier eyes_cascade;
eyes_cascade.load(cascade_path); eyes_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
if (!eyes_cascade.empty())
eyes_cascade.detectMultiScale(img, eyes, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30)); eyes_cascade.detectMultiScale(img, eyes, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return; return;
} }
@ -195,8 +197,9 @@ static void detectEyes(Mat& img, vector<Rect_<int> >& eyes, string cascade_path)
static void detectNose(Mat& img, vector<Rect_<int> >& nose, string cascade_path) static void detectNose(Mat& img, vector<Rect_<int> >& nose, string cascade_path)
{ {
CascadeClassifier nose_cascade; CascadeClassifier nose_cascade;
nose_cascade.load(cascade_path); nose_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
if (!nose_cascade.empty())
nose_cascade.detectMultiScale(img, nose, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30)); nose_cascade.detectMultiScale(img, nose, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return; return;
} }
@ -204,8 +207,9 @@ static void detectNose(Mat& img, vector<Rect_<int> >& nose, string cascade_path)
static void detectMouth(Mat& img, vector<Rect_<int> >& mouth, string cascade_path) static void detectMouth(Mat& img, vector<Rect_<int> >& mouth, string cascade_path)
{ {
CascadeClassifier mouth_cascade; CascadeClassifier mouth_cascade;
mouth_cascade.load(cascade_path); mouth_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
if (!mouth_cascade.empty())
mouth_cascade.detectMultiScale(img, mouth, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30)); mouth_cascade.detectMultiScale(img, mouth, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return; return;
} }

2
samples/cpp/falsecolor.cpp
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@ -87,7 +87,7 @@ int main(int argc, char** argv)
Mat img; Mat img;
if (argc > 1) if (argc > 1)
img = imread(argv[1], IMREAD_GRAYSCALE); img = imread(samples::findFile(argv[1]), IMREAD_GRAYSCALE);
else else
img = DrawMyImage(2,256); img = DrawMyImage(2,256);

6
samples/cpp/ffilldemo.cpp
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@ -12,7 +12,7 @@ static void help()
{ {
cout << "\nThis program demonstrated the floodFill() function\n" cout << "\nThis program demonstrated the floodFill() function\n"
"Call:\n" "Call:\n"
"./ffilldemo [image_name -- Default: ../data/fruits.jpg]\n" << endl; "./ffilldemo [image_name -- Default: fruits.jpg]\n" << endl;
cout << "Hot keys: \n" cout << "Hot keys: \n"
"\tESC - quit the program\n" "\tESC - quit the program\n"
@ -74,7 +74,7 @@ static void onMouse( int event, int x, int y, int, void* )
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
cv::CommandLineParser parser (argc, argv, cv::CommandLineParser parser (argc, argv,
"{help h | | show help message}{@image|../data/fruits.jpg| input image}" "{help h | | show help message}{@image|fruits.jpg| input image}"
); );
if (parser.has("help")) if (parser.has("help"))
{ {
@ -82,7 +82,7 @@ int main( int argc, char** argv )
return 0; return 0;
} }
string filename = parser.get<string>("@image"); string filename = parser.get<string>("@image");
image0 = imread(filename, 1); image0 = imread(samples::findFile(filename), 1);
if( image0.empty() ) if( image0.empty() )
{ {

4
samples/cpp/filestorage.cpp
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@ -92,8 +92,8 @@ int main(int ac, char** av)
cout << "writing images\n"; cout << "writing images\n";
fs << "images" << "["; fs << "images" << "[";
fs << "image1.jpg" << "myfi.png" << "../data/baboon.jpg"; fs << "image1.jpg" << "myfi.png" << "baboon.jpg";
cout << "image1.jpg" << " myfi.png" << " ../data/baboon.jpg" << endl; cout << "image1.jpg" << " myfi.png" << " baboon.jpg" << endl;
fs << "]"; fs << "]";

6
samples/cpp/fitellipse.cpp
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@ -171,7 +171,7 @@ static void help()
"contours and approximate it by ellipses. Three methods are used to find the \n" "contours and approximate it by ellipses. Three methods are used to find the \n"
"elliptical fits: fitEllipse, fitEllipseAMS and fitEllipseDirect.\n" "elliptical fits: fitEllipse, fitEllipseAMS and fitEllipseDirect.\n"
"Call:\n" "Call:\n"
"./fitellipse [image_name -- Default ../data/stuff.jpg]\n" << endl; "./fitellipse [image_name -- Default ellipses.jpg]\n" << endl;
} }
int sliderPos = 70; int sliderPos = 70;
@ -192,14 +192,14 @@ int main( int argc, char** argv )
fitEllipseAMSQ = true; fitEllipseAMSQ = true;
fitEllipseDirectQ = true; fitEllipseDirectQ = true;
cv::CommandLineParser parser(argc, argv,"{help h||}{@image|../data/ellipses.jpg|}"); cv::CommandLineParser parser(argc, argv,"{help h||}{@image|ellipses.jpg|}");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
return 0; return 0;
} }
string filename = parser.get<string>("@image"); string filename = parser.get<string>("@image");
image = imread(filename, 0); image = imread(samples::findFile(filename), 0);
if( image.empty() ) if( image.empty() )
{ {
cout << "Couldn't open image " << filename << "\n"; cout << "Couldn't open image " << filename << "\n";

4
samples/cpp/grabcut.cpp
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@ -276,7 +276,7 @@ static void on_mouse( int event, int x, int y, int flags, void* param )
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
cv::CommandLineParser parser(argc, argv, "{@input| ../data/messi5.jpg |}"); cv::CommandLineParser parser(argc, argv, "{@input| messi5.jpg |}");
help(); help();
string filename = parser.get<string>("@input"); string filename = parser.get<string>("@input");
@ -285,7 +285,7 @@ int main( int argc, char** argv )
cout << "\nDurn, empty filename" << endl; cout << "\nDurn, empty filename" << endl;
return 1; return 1;
} }
Mat image = imread( filename, 1 ); Mat image = imread(samples::findFile(filename), IMREAD_COLOR);
if( image.empty() ) if( image.empty() )
{ {
cout << "\n Durn, couldn't read image filename " << filename << endl; cout << "\n Durn, couldn't read image filename " << filename << endl;

1
samples/cpp/gstreamer_pipeline.cpp
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@ -266,6 +266,7 @@ int main(int argc, char *argv[])
cout << "Unsupported mode: " << mode << endl; cout << "Unsupported mode: " << mode << endl;
return -1; return -1;
} }
file_name = samples::findFile(file_name);
cout << "Mode: " << mode << ", Backend: " << backend << ", File: " << file_name << ", Codec: " << codec << endl; cout << "Mode: " << mode << ", Backend: " << backend << ", File: " << file_name << ", Codec: " << codec << endl;
TickMeter total; TickMeter total;

6
samples/cpp/image.cpp
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@ -14,7 +14,7 @@ static void help()
"It shows reading of images, converting to planes and merging back, color conversion\n" "It shows reading of images, converting to planes and merging back, color conversion\n"
"and also iterating through pixels.\n" "and also iterating through pixels.\n"
"Call:\n" "Call:\n"
"./image [image-name Default: ../data/lena.jpg]\n" << endl; "./image [image-name Default: lena.jpg]\n" << endl;
} }
// enable/disable use of mixed API in the code below. // enable/disable use of mixed API in the code below.
@ -27,7 +27,7 @@ static void help()
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
cv::CommandLineParser parser(argc, argv, "{help h | |}{@image|../data/lena.jpg|}"); cv::CommandLineParser parser(argc, argv, "{help h | |}{@image|lena.jpg|}");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
@ -47,7 +47,7 @@ int main( int argc, char** argv )
// is converted, while the data is shared) // is converted, while the data is shared)
//! [iplimage] //! [iplimage]
#else #else
Mat img = imread(imagename); // the newer cvLoadImage alternative, MATLAB-style function Mat img = imread(samples::findFile(imagename)); // the newer cvLoadImage alternative, MATLAB-style function
if(img.empty()) if(img.empty())
{ {
fprintf(stderr, "Can not load image %s\n", imagename.c_str()); fprintf(stderr, "Can not load image %s\n", imagename.c_str());

12
samples/cpp/image_alignment.cpp
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@ -3,7 +3,7 @@
* findTransformECC that implements the image alignment ECC algorithm * findTransformECC that implements the image alignment ECC algorithm
* *
* *
* The demo loads an image (defaults to ../data/fruits.jpg) and it artificially creates * The demo loads an image (defaults to fruits.jpg) and it artificially creates
* a template image based on the given motion type. When two images are given, * a template image based on the given motion type. When two images are given,
* the first image is the input image and the second one defines the template image. * the first image is the input image and the second one defines the template image.
* In the latter case, you can also parse the warp's initialization. * In the latter case, you can also parse the warp's initialization.
@ -44,7 +44,7 @@ static void draw_warped_roi(Mat& image, const int width, const int height, Mat&
const std::string keys = const std::string keys =
"{@inputImage | ../data/fruits.jpg | input image filename }" "{@inputImage | fruits.jpg | input image filename }"
"{@templateImage | | template image filename (optional)}" "{@templateImage | | template image filename (optional)}"
"{@inputWarp | | input warp (matrix) filename (optional)}" "{@inputWarp | | input warp (matrix) filename (optional)}"
"{n numOfIter | 50 | ECC's iterations }" "{n numOfIter | 50 | ECC's iterations }"
@ -65,10 +65,10 @@ static void help(void)
" are given, the initialization of the warp by command line parsing is possible. " " are given, the initialization of the warp by command line parsing is possible. "
"If inputWarp is missing, the identity transformation initializes the algorithm. \n" << endl; "If inputWarp is missing, the identity transformation initializes the algorithm. \n" << endl;
cout << "\nUsage example (one image): \n./ecc ../data/fruits.jpg -o=outWarp.ecc " cout << "\nUsage example (one image): \n./image_alignment fruits.jpg -o=outWarp.ecc "
"-m=euclidean -e=1e-6 -N=70 -v=1 \n" << endl; "-m=euclidean -e=1e-6 -N=70 -v=1 \n" << endl;
cout << "\nUsage example (two images with initialization): \n./ecc yourInput.png yourTemplate.png " cout << "\nUsage example (two images with initialization): \n./image_alignment yourInput.png yourTemplate.png "
"yourInitialWarp.ecc -o=outWarp.ecc -m=homography -e=1e-6 -N=70 -v=1 -w=yourFinalImage.png \n" << endl; "yourInitialWarp.ecc -o=outWarp.ecc -m=homography -e=1e-6 -N=70 -v=1 -w=yourFinalImage.png \n" << endl;
} }
@ -212,7 +212,7 @@ int main (const int argc, const char * argv[])
else else
mode_temp = MOTION_HOMOGRAPHY; mode_temp = MOTION_HOMOGRAPHY;
Mat inputImage = imread(imgFile,0); Mat inputImage = imread(samples::findFile(imgFile), IMREAD_GRAYSCALE);
if (inputImage.empty()) if (inputImage.empty())
{ {
cerr << "Unable to load the inputImage" << endl; cerr << "Unable to load the inputImage" << endl;
@ -224,7 +224,7 @@ int main (const int argc, const char * argv[])
if (tempImgFile!="") { if (tempImgFile!="") {
inputImage.copyTo(target_image); inputImage.copyTo(target_image);
template_image = imread(tempImgFile,0); template_image = imread(samples::findFile(tempImgFile), IMREAD_GRAYSCALE);
if (template_image.empty()){ if (template_image.empty()){
cerr << "Unable to load the template image" << endl; cerr << "Unable to load the template image" << endl;
return -1; return -1;

12
samples/cpp/inpaint.cpp
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@ -14,7 +14,7 @@ static void help()
<< "with surrounding image areas.\n" << "with surrounding image areas.\n"
"Using OpenCV version %s\n" << CV_VERSION << "\n" "Using OpenCV version %s\n" << CV_VERSION << "\n"
"Usage:\n" "Usage:\n"
"./inpaint [image_name -- Default ../data/fruits.jpg]\n" << endl; "./inpaint [image_name -- Default fruits.jpg]\n" << endl;
cout << "Hot keys: \n" cout << "Hot keys: \n"
"\tESC - quit the program\n" "\tESC - quit the program\n"
@ -47,24 +47,24 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
cv::CommandLineParser parser(argc, argv, "{@image|../data/fruits.jpg|}"); cv::CommandLineParser parser(argc, argv, "{@image|fruits.jpg|}");
help(); help();
string filename = parser.get<string>("@image"); string filename = samples::findFile(parser.get<string>("@image"));
Mat img0 = imread(filename, -1); Mat img0 = imread(filename, IMREAD_COLOR);
if(img0.empty()) if(img0.empty())
{ {
cout << "Couldn't open the image " << filename << ". Usage: inpaint <image_name>\n" << endl; cout << "Couldn't open the image " << filename << ". Usage: inpaint <image_name>\n" << endl;
return 0; return 0;
} }
namedWindow( "image", 1 ); namedWindow("image", WINDOW_AUTOSIZE);
img = img0.clone(); img = img0.clone();
inpaintMask = Mat::zeros(img.size(), CV_8U); inpaintMask = Mat::zeros(img.size(), CV_8U);
imshow("image", img); imshow("image", img);
setMouseCallback( "image", onMouse, 0 ); setMouseCallback( "image", onMouse, NULL);
for(;;) for(;;)
{ {

35
samples/cpp/laplace.cpp
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@ -25,39 +25,46 @@ int smoothType = GAUSSIAN;
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
VideoCapture cap;
cv::CommandLineParser parser(argc, argv, "{ c | 0 | }{ p | | }"); cv::CommandLineParser parser(argc, argv, "{ c | 0 | }{ p | | }");
help(); help();
if( parser.get<string>("c").size() == 1 && isdigit(parser.get<string>("c")[0]) ) VideoCapture cap;
string camera = parser.get<string>("c");
if (camera.size() == 1 && isdigit(camera[0]))
cap.open(parser.get<int>("c")); cap.open(parser.get<int>("c"));
else else
cap.open(parser.get<string>("c")); cap.open(samples::findFileOrKeep(camera));
if( cap.isOpened() ) if (!cap.isOpened())
{
cerr << "Can't open camera/video stream: " << camera << endl;
return 1;
}
cout << "Video " << parser.get<string>("c") << cout << "Video " << parser.get<string>("c") <<
": width=" << cap.get(CAP_PROP_FRAME_WIDTH) << ": width=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) << ", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl; ", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
if( parser.has("p") ) int pos = 0;
if (parser.has("p"))
{ {
int pos = parser.get<int>("p"); pos = parser.get<int>("p");
}
if (!parser.check()) if (!parser.check())
{ {
parser.printErrors(); parser.printErrors();
return -1; return -1;
} }
cout << "seeking to frame #" << pos << endl;
cap.set(CAP_PROP_POS_FRAMES, pos);
}
if( !cap.isOpened() ) if (pos != 0)
{ {
cout << "Could not initialize capturing...\n"; cout << "seeking to frame #" << pos << endl;
return -1; if (!cap.set(CAP_PROP_POS_FRAMES, pos))
{
cerr << "ERROR: seekeing is not supported" << endl;
}
} }
namedWindow( "Laplacian", 0 ); namedWindow("Laplacian", WINDOW_AUTOSIZE);
createTrackbar( "Sigma", "Laplacian", &sigma, 15, 0 ); createTrackbar("Sigma", "Laplacian", &sigma, 15, 0);
Mat smoothed, laplace, result; Mat smoothed, laplace, result;

6
samples/cpp/letter_recog.cpp
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@ -520,13 +520,13 @@ int main( int argc, char *argv[] )
string data_filename; string data_filename;
int method = 0; int method = 0;
cv::CommandLineParser parser(argc, argv, "{data|../data/letter-recognition.data|}{save||}{load||}{boost||}" cv::CommandLineParser parser(argc, argv, "{data|letter-recognition.data|}{save||}{load||}{boost||}"
"{mlp||}{knn knearest||}{nbayes||}{svm||}"); "{mlp||}{knn knearest||}{nbayes||}{svm||}");
data_filename = parser.get<string>("data"); data_filename = samples::findFile(parser.get<string>("data"));
if (parser.has("save")) if (parser.has("save"))
filename_to_save = parser.get<string>("save"); filename_to_save = parser.get<string>("save");
if (parser.has("load")) if (parser.has("load"))
filename_to_load = parser.get<string>("load"); filename_to_load = samples::findFile(parser.get<string>("load"));
if (parser.has("boost")) if (parser.has("boost"))
method = 1; method = 1;
else if (parser.has("mlp")) else if (parser.has("mlp"))

104
samples/cpp/live_detect_qrcode.cpp
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@ -7,10 +7,10 @@
using namespace std; using namespace std;
using namespace cv; using namespace cv;
void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform); static void drawQRCodeContour(Mat &color_image, vector<Point> transform);
void getMatWithFPS(Mat &color_image, double fps); static void drawFPS(Mat &color_image, double fps);
int liveQRCodeDetect(); static int liveQRCodeDetect(const string& out_file);
int showImageQRCodeDetect(string in, string out); static int imageQRCodeDetect(const string& in_file, const string& out_file);
int main(int argc, char *argv[]) int main(int argc, char *argv[])
{ {
@ -28,7 +28,9 @@ int main(int argc, char *argv[])
} }
string in_file_name = cmd_parser.get<string>("in"); // input path to image string in_file_name = cmd_parser.get<string>("in"); // input path to image
string out_file_name = cmd_parser.get<string>("out"); // output path to image string out_file_name;
if (cmd_parser.has("out"))
out_file_name = cmd_parser.get<string>("out"); // output path to image
if (!cmd_parser.check()) if (!cmd_parser.check())
{ {
@ -39,16 +41,16 @@ int main(int argc, char *argv[])
int return_code = 0; int return_code = 0;
if (in_file_name.empty()) if (in_file_name.empty())
{ {
return_code = liveQRCodeDetect(); return_code = liveQRCodeDetect(out_file_name);
} }
else else
{ {
return_code = showImageQRCodeDetect(in_file_name, out_file_name); return_code = imageQRCodeDetect(samples::findFile(in_file_name), out_file_name);
} }
return return_code; return return_code;
} }
void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform) void drawQRCodeContour(Mat &color_image, vector<Point> transform)
{ {
if (!transform.empty()) if (!transform.empty())
{ {
@ -70,19 +72,19 @@ void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform)
} }
} }
void getMatWithFPS(Mat &color_image, double fps) void drawFPS(Mat &color_image, double fps)
{ {
ostringstream convert; ostringstream convert;
convert << cvRound(fps) << " FPS."; convert << cvRound(fps) << " FPS (QR detection)";
putText(color_image, convert.str(), Point(25, 25), FONT_HERSHEY_DUPLEX, 1, Scalar(0, 0, 255), 2); putText(color_image, convert.str(), Point(25, 25), FONT_HERSHEY_DUPLEX, 1, Scalar(0, 0, 255), 2);
} }
int liveQRCodeDetect() int liveQRCodeDetect(const string& out_file)
{ {
VideoCapture cap(0); VideoCapture cap(0);
if(!cap.isOpened()) if(!cap.isOpened())
{ {
cout << "Cannot open a camera" << '\n'; cout << "Cannot open a camera" << endl;
return -4; return -4;
} }
@ -94,7 +96,11 @@ int liveQRCodeDetect()
string decode_info; string decode_info;
vector<Point> transform; vector<Point> transform;
cap >> frame; cap >> frame;
if(frame.empty()) { break; } if (frame.empty())
{
cout << "End of video stream" << endl;
break;
}
cvtColor(frame, src, COLOR_BGR2GRAY); cvtColor(frame, src, COLOR_BGR2GRAY);
total.start(); total.start();
@ -102,24 +108,30 @@ int liveQRCodeDetect()
if (result_detection) if (result_detection)
{ {
decode_info = qrcode.decode(src, transform, straight_barcode); decode_info = qrcode.decode(src, transform, straight_barcode);
if (!decode_info.empty()) { cout << decode_info << '\n'; } if (!decode_info.empty()) { cout << decode_info << endl; }
} }
total.stop(); total.stop();
double fps = 1 / total.getTimeSec(); double fps = 1 / total.getTimeSec();
total.reset(); total.reset();
if (result_detection) { getMatWithQRCodeContour(frame, transform); } if (result_detection) { drawQRCodeContour(frame, transform); }
getMatWithFPS(frame, fps); drawFPS(frame, fps);
imshow("Live QR code detector", frame); imshow("Live QR code detector", frame);
if( waitKey(30) > 0 ) { break; } char c = (char)waitKey(30);
if (c == 27)
break;
if (c == ' ' && !out_file.empty())
imwrite(out_file, frame); // TODO write original frame too
} }
return 0; return 0;
} }
int showImageQRCodeDetect(string in, string out) int imageQRCodeDetect(const string& in_file, const string& out_file)
{ {
Mat src = imread(in, IMREAD_GRAYSCALE), straight_barcode; Mat color_src = imread(in_file, IMREAD_COLOR), src;
cvtColor(color_src, src, COLOR_BGR2GRAY);
Mat straight_barcode;
string decoded_info; string decoded_info;
vector<Point> transform; vector<Point> transform;
const int count_experiments = 10; const int count_experiments = 10;
@ -135,54 +147,40 @@ int showImageQRCodeDetect(string in, string out)
total.stop(); total.stop();
transform_time += total.getTimeSec(); transform_time += total.getTimeSec();
total.reset(); total.reset();
if (!result_detection) { break; } if (!result_detection)
continue;
total.start(); total.start();
decoded_info = qrcode.decode(src, transform, straight_barcode); decoded_info = qrcode.decode(src, transform, straight_barcode);
total.stop(); total.stop();
transform_time += total.getTimeSec(); transform_time += total.getTimeSec();
total.reset(); total.reset();
if (decoded_info.empty()) { break; }
} }
double fps = count_experiments / transform_time; double fps = count_experiments / transform_time;
if (!result_detection) { cout << "QR code not found\n"; return -2; } if (!result_detection)
if (decoded_info.empty()) { cout << "QR code cannot be decoded\n"; return -3; } cout << "QR code not found" << endl;
if (decoded_info.empty())
cout << "QR code cannot be decoded" << endl;
Mat color_src = imread(in); drawQRCodeContour(color_src, transform);
getMatWithQRCodeContour(color_src, transform); drawFPS(color_src, fps);
getMatWithFPS(color_src, fps);
for(;;) cout << "Input image file path: " << in_file << endl;
{ cout << "Output image file path: " << out_file << endl;
imshow("Detect QR code on image", color_src); cout << "Size: " << color_src.size() << endl;
if( waitKey(30) > 0 ) { break; } cout << "FPS: " << fps << endl;
} cout << "Decoded info: " << decoded_info << endl;
if (!out.empty()) if (!out_file.empty())
{
getMatWithQRCodeContour(color_src, transform);
getMatWithFPS(color_src, fps);
cout << "Input image file path: " << in << '\n';
cout << "Output image file path: " << out << '\n';
cout << "Size: " << color_src.size() << '\n';
cout << "FPS: " << fps << '\n';
cout << "Decoded info: " << decoded_info << '\n';
vector<int> compression_params;
compression_params.push_back(IMWRITE_PNG_COMPRESSION);
compression_params.push_back(9);
try
{ {
imwrite(out, color_src, compression_params); imwrite(out_file, color_src);
} }
catch (const cv::Exception& ex)
for(;;)
{ {
cout << "Exception converting image to PNG format: "; imshow("Detect QR code on image", color_src);
cout << ex.what() << '\n'; if (waitKey(0) == 27)
return -3; break;
}
} }
return 0; return 0;
} }

2
samples/cpp/logistic_regression.cpp
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@ -83,7 +83,7 @@ static float calculateAccuracyPercent(const Mat &original, const Mat &predicted)
int main() int main()
{ {
const String filename = "../data/data01.xml"; const String filename = samples::findFile("data01.xml");
cout << "**********************************************************************" << endl; cout << "**********************************************************************" << endl;
cout << filename cout << filename
<< " contains digits 0 and 1 of 20 samples each, collected on an Android device" << endl; << " contains digits 0 and 1 of 20 samples each, collected on an Android device" << endl;

4
samples/cpp/lsd_lines.cpp
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@ -9,7 +9,7 @@ using namespace cv;
int main(int argc, char** argv) int main(int argc, char** argv)
{ {
cv::CommandLineParser parser(argc, argv, cv::CommandLineParser parser(argc, argv,
"{input i|../data/building.jpg|input image}" "{input i|building.jpg|input image}"
"{refine r|false|if true use LSD_REFINE_STD method, if false use LSD_REFINE_NONE method}" "{refine r|false|if true use LSD_REFINE_STD method, if false use LSD_REFINE_NONE method}"
"{canny c|false|use Canny edge detector}" "{canny c|false|use Canny edge detector}"
"{overlay o|false|show result on input image}" "{overlay o|false|show result on input image}"
@ -23,7 +23,7 @@ int main(int argc, char** argv)
parser.printMessage(); parser.printMessage();
String filename = parser.get<String>("input"); String filename = samples::findFile(parser.get<String>("input"));
bool useRefine = parser.get<bool>("refine"); bool useRefine = parser.get<bool>("refine");
bool useCanny = parser.get<bool>("canny"); bool useCanny = parser.get<bool>("canny");
bool overlay = parser.get<bool>("overlay"); bool overlay = parser.get<bool>("overlay");

24
samples/cpp/mask_tmpl.cpp
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@ -8,17 +8,27 @@ using namespace cv;
int main( int argc, const char** argv ) int main( int argc, const char** argv )
{ {
CommandLineParser parser(argc, argv, CommandLineParser parser(argc, argv,
"{ i | ../data/lena_tmpl.jpg |image name }" "{ i | lena_tmpl.jpg |image name }"
"{ t | ../data/tmpl.png |template name }" "{ t | tmpl.png |template name }"
"{ m | ../data/mask.png |mask name }" "{ m | mask.png |mask name }"
"{ cm| 3 |comparison method }"); "{ cm| 3 |comparison method }");
cout << "This program demonstrates the use of template matching with mask.\n\n"; cout << "This program demonstrates the use of template matching with mask." << endl
<< endl
<< "Available methods: https://docs.opencv.org/3.4/df/dfb/group__imgproc__object.html#ga3a7850640f1fe1f58fe91a2d7583695d" << endl
<< " TM_SQDIFF = " << (int)TM_SQDIFF << endl
<< " TM_SQDIFF_NORMED = " << (int)TM_SQDIFF_NORMED << endl
<< " TM_CCORR = " << (int)TM_CCORR << endl
<< " TM_CCORR_NORMED = " << (int)TM_CCORR_NORMED << endl
<< " TM_CCOEFF = " << (int)TM_CCOEFF << endl
<< " TM_CCOEFF_NORMED = " << (int)TM_CCOEFF_NORMED << endl
<< endl;
parser.printMessage(); parser.printMessage();
string filename = parser.get<string>("i"); string filename = samples::findFile(parser.get<string>("i"));
string tmplname = parser.get<string>("t"); string tmplname = samples::findFile(parser.get<string>("t"));
string maskname = parser.get<string>("m"); string maskname = samples::findFile(parser.get<string>("m"));
Mat img = imread(filename); Mat img = imread(filename);
Mat tmpl = imread(tmplname); Mat tmpl = imread(tmplname);
Mat mask = imread(maskname); Mat mask = imread(maskname);

24
samples/cpp/matchmethod_orb_akaze_brisk.cpp
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@ -12,7 +12,7 @@ static void help()
{ {
cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \n" cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \n"
"Usage: \n" "Usage: \n"
" ./matchmethod_orb_akaze_brisk --image1=<image1(../data/basketball1.png as default)> --image2=<image2(../data/basketball2.png as default)>\n" " ./matchmethod_orb_akaze_brisk --image1=<image1(basketball1.png as default)> --image2=<image2(basketball2.png as default)>\n"
"Press a key when image window is active to change algorithm or descriptor"; "Press a key when image window is active to change algorithm or descriptor";
} }
@ -34,27 +34,27 @@ int main(int argc, char *argv[])
typeAlgoMatch.push_back("BruteForce-Hamming"); typeAlgoMatch.push_back("BruteForce-Hamming");
typeAlgoMatch.push_back("BruteForce-Hamming(2)"); typeAlgoMatch.push_back("BruteForce-Hamming(2)");
cv::CommandLineParser parser(argc, argv, cv::CommandLineParser parser(argc, argv,
"{ @image1 | ../data/basketball1.png | }" "{ @image1 | basketball1.png | }"
"{ @image2 | ../data/basketball2.png | }" "{ @image2 | basketball2.png | }"
"{help h ||}"); "{help h ||}");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
return 0; return 0;
} }
fileName.push_back(parser.get<string>(0)); fileName.push_back(samples::findFile(parser.get<string>(0)));
fileName.push_back(parser.get<string>(1)); fileName.push_back(samples::findFile(parser.get<string>(1)));
Mat img1 = imread(fileName[0], IMREAD_GRAYSCALE); Mat img1 = imread(fileName[0], IMREAD_GRAYSCALE);
Mat img2 = imread(fileName[1], IMREAD_GRAYSCALE); Mat img2 = imread(fileName[1], IMREAD_GRAYSCALE);
if (img1.rows*img1.cols <= 0) if (img1.empty())
{ {
cout << "Image " << fileName[0] << " is empty or cannot be found\n"; cerr << "Image " << fileName[0] << " is empty or cannot be found" << endl;
return(0); return 1;
} }
if (img2.rows*img2.cols <= 0) if (img2.empty())
{ {
cout << "Image " << fileName[1] << " is empty or cannot be found\n"; cerr << "Image " << fileName[1] << " is empty or cannot be found" << endl;
return(0); return 1;
} }
vector<double> desMethCmp; vector<double> desMethCmp;
@ -157,12 +157,12 @@ int main(int argc, char *argv[])
} }
catch (const Exception& e) catch (const Exception& e)
{ {
cerr << "Exception: " << e.what() << endl;
cout << "Feature : " << *itDesc << "\n"; cout << "Feature : " << *itDesc << "\n";
if (itMatcher != typeAlgoMatch.end()) if (itMatcher != typeAlgoMatch.end())
{ {
cout << "Matcher : " << *itMatcher << "\n"; cout << "Matcher : " << *itMatcher << "\n";
} }
cout << e.msg << endl;
} }
} }
int i=0; int i=0;

2
samples/cpp/minarea.cpp
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@ -18,7 +18,7 @@ int main( int /*argc*/, char** /*argv*/ )
{ {
help(); help();
Mat img(500, 500, CV_8UC3); Mat img(500, 500, CV_8UC3, Scalar::all(0));
RNG& rng = theRNG(); RNG& rng = theRNG();
for(;;) for(;;)

19
samples/cpp/morphology2.cpp
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@ -33,8 +33,8 @@ int erode_dilate_pos = 0;
// callback function for open/close trackbar // callback function for open/close trackbar
static void OpenClose(int, void*) static void OpenClose(int, void*)
{ {
int n = open_close_pos - max_iters; int n = open_close_pos;
int an = n > 0 ? n : -n; int an = abs(n);
Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) ); Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) );
if( n < 0 ) if( n < 0 )
morphologyEx(src, dst, MORPH_OPEN, element); morphologyEx(src, dst, MORPH_OPEN, element);
@ -46,8 +46,8 @@ static void OpenClose(int, void*)
// callback function for erode/dilate trackbar // callback function for erode/dilate trackbar
static void ErodeDilate(int, void*) static void ErodeDilate(int, void*)
{ {
int n = erode_dilate_pos - max_iters; int n = erode_dilate_pos;
int an = n > 0 ? n : -n; int an = abs(n);
Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) ); Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) );
if( n < 0 ) if( n < 0 )
erode(src, dst, element); erode(src, dst, element);
@ -59,13 +59,13 @@ static void ErodeDilate(int, void*)
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
cv::CommandLineParser parser(argc, argv, "{help h||}{ @image | ../data/baboon.jpg | }"); cv::CommandLineParser parser(argc, argv, "{help h||}{ @image | baboon.jpg | }");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
return 0; return 0;
} }
std::string filename = parser.get<std::string>("@image"); std::string filename = samples::findFile(parser.get<std::string>("@image"));
if( (src = imread(filename,IMREAD_COLOR)).empty() ) if( (src = imread(filename,IMREAD_COLOR)).empty() )
{ {
help(); help();
@ -78,7 +78,14 @@ int main( int argc, char** argv )
open_close_pos = erode_dilate_pos = max_iters; open_close_pos = erode_dilate_pos = max_iters;
createTrackbar("iterations", "Open/Close",&open_close_pos,max_iters*2+1,OpenClose); createTrackbar("iterations", "Open/Close",&open_close_pos,max_iters*2+1,OpenClose);
setTrackbarMin("iterations", "Open/Close", -max_iters);
setTrackbarMax("iterations", "Open/Close", max_iters);
setTrackbarPos("iterations", "Open/Close", 0);
createTrackbar("iterations", "Erode/Dilate",&erode_dilate_pos,max_iters*2+1,ErodeDilate); createTrackbar("iterations", "Erode/Dilate",&erode_dilate_pos,max_iters*2+1,ErodeDilate);
setTrackbarMin("iterations", "Erode/Dilate", -max_iters);
setTrackbarMax("iterations", "Erode/Dilate", max_iters);
setTrackbarPos("iterations", "Erode/Dilate", 0);
for(;;) for(;;)
{ {

14
samples/cpp/npr_demo.cpp
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@ -28,26 +28,22 @@ using namespace cv;
int main(int argc, char* argv[]) int main(int argc, char* argv[])
{ {
cv::CommandLineParser parser(argc, argv, "{help h||show help message}{@image|../data/lena.jpg|input image}"); cv::CommandLineParser parser(argc, argv, "{help h||show help message}{@image|lena.jpg|input image}");
if (parser.has("help")) if (parser.has("help"))
{ {
parser.printMessage(); parser.printMessage();
exit(0); return 0;
}
if (parser.get<string>("@image").empty())
{
parser.printMessage();
exit(0);
} }
string filename = samples::findFile(parser.get<string>("@image"));
Mat I = imread(parser.get<string>("@image")); Mat I = imread(filename);
int num,type; int num,type;
if(I.empty()) if(I.empty())
{ {
cout << "Image not found" << endl; cout << "Image not found" << endl;
exit(0); return 1;
} }
cout << endl; cout << endl;

5
samples/cpp/peopledetect.cpp
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@ -72,7 +72,10 @@ int main(int argc, char** argv)
if (file.empty()) if (file.empty())
cap.open(camera); cap.open(camera);
else else
cap.open(file.c_str()); {
file = samples::findFileOrKeep(file);
cap.open(file);
}
if (!cap.isOpened()) if (!cap.isOpened())
{ {
cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl; cout << "Can not open video stream: '" << (file.empty() ? "<camera>" : file) << "'" << endl;

5
samples/cpp/points_classifier.cpp
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@ -2,11 +2,6 @@
#include "opencv2/imgproc.hpp" #include "opencv2/imgproc.hpp"
#include "opencv2/ml.hpp" #include "opencv2/ml.hpp"
#include "opencv2/highgui.hpp" #include "opencv2/highgui.hpp"
#ifdef HAVE_OPENCV_OCL
#define _OCL_KNN_ 1 // select whether using ocl::KNN method or not, default is using
#define _OCL_SVM_ 1 // select whether using ocl::svm method or not, default is using
#include "opencv2/ocl/ocl.hpp"
#endif
#include <stdio.h> #include <stdio.h>

2
samples/cpp/polar_transforms.cpp
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@ -24,7 +24,7 @@ int main( int argc, char** argv )
if( arg.size() == 1 && isdigit(arg[0]) ) if( arg.size() == 1 && isdigit(arg[0]) )
capture.open( arg[0] - '0' ); capture.open( arg[0] - '0' );
else else
capture.open( arg.c_str() ); capture.open(samples::findFileOrKeep(arg));
if( !capture.isOpened() ) if( !capture.isOpened() )
{ {

2
samples/cpp/segment_objects.cpp
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@ -73,7 +73,7 @@ int main(int argc, char** argv)
if (input.empty()) if (input.empty())
cap.open(0); cap.open(0);
else else
cap.open(input); cap.open(samples::findFileOrKeep(input));
if( !cap.isOpened() ) if( !cap.isOpened() )
{ {

2
samples/cpp/select3dobj.cpp
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@ -416,7 +416,7 @@ int main(int argc, char** argv)
if ( parser.get<string>("@input").size() == 1 && isdigit(parser.get<string>("@input")[0]) ) if ( parser.get<string>("@input").size() == 1 && isdigit(parser.get<string>("@input")[0]) )
cameraId = parser.get<int>("@input"); cameraId = parser.get<int>("@input");
else else
inputName = parser.get<string>("@input"); inputName = samples::findFileOrKeep(parser.get<string>("@input"));
if (!parser.check()) if (!parser.check())
{ {
puts(help); puts(help);

11
samples/cpp/smiledetect.cpp
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@ -16,7 +16,7 @@ static void help()
" [--try-flip]\n" " [--try-flip]\n"
" [video_filename|camera_index]\n\n" " [video_filename|camera_index]\n\n"
"Example:\n" "Example:\n"
"./smiledetect --cascade=\"../../data/haarcascades/haarcascade_frontalface_alt.xml\" --smile-cascade=\"../../data/haarcascades/haarcascade_smile.xml\" --scale=2.0\n\n" "./smiledetect --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" "During execution:\n\tHit any key to quit.\n"
"\tUsing OpenCV version " << CV_VERSION << "\n" << endl; "\tUsing OpenCV version " << CV_VERSION << "\n" << endl;
} }
@ -41,16 +41,16 @@ int main( int argc, const char** argv )
double scale; double scale;
cv::CommandLineParser parser(argc, argv, cv::CommandLineParser parser(argc, argv,
"{help h||}{scale|1|}" "{help h||}{scale|1|}"
"{cascade|../../data/haarcascades/haarcascade_frontalface_alt.xml|}" "{cascade|data/haarcascades/haarcascade_frontalface_alt.xml|}"
"{smile-cascade|../../data/haarcascades/haarcascade_smile.xml|}" "{smile-cascade|data/haarcascades/haarcascade_smile.xml|}"
"{try-flip||}{@input||}"); "{try-flip||}{@input||}");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
return 0; return 0;
} }
cascadeName = parser.get<string>("cascade"); cascadeName = samples::findFile(parser.get<string>("cascade"));
nestedCascadeName = parser.get<string>("smile-cascade"); nestedCascadeName = samples::findFile(parser.get<string>("smile-cascade"));
tryflip = parser.has("try-flip"); tryflip = parser.has("try-flip");
inputName = parser.get<string>("@input"); inputName = parser.get<string>("@input");
scale = parser.get<int>("scale"); scale = parser.get<int>("scale");
@ -81,6 +81,7 @@ int main( int argc, const char** argv )
} }
else if( inputName.size() ) else if( inputName.size() )
{ {
inputName = samples::findFileOrKeep(inputName);
if(!capture.open( inputName )) if(!capture.open( inputName ))
cout << "Could not read " << inputName << endl; cout << "Could not read " << inputName << endl;
} }

9
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) int main(int argc, char** argv)
{ {
static const char* names[] = { "../data/pic1.png", "../data/pic2.png", "../data/pic3.png", static const char* names[] = { "data/pic1.png", "data/pic2.png", "data/pic3.png",
"../data/pic4.png", "../data/pic5.png", "../data/pic6.png", 0 }; "data/pic4.png", "data/pic5.png", "data/pic6.png", 0 };
help(argv[0]); help(argv[0]);
if( argc > 1) if( argc > 1)
@ -152,10 +152,11 @@ int main(int argc, char** argv)
for( int i = 0; names[i] != 0; i++ ) for( int i = 0; names[i] != 0; i++ )
{ {
Mat image = imread(names[i], IMREAD_COLOR); string filename = samples::findFile(names[i]);
Mat image = imread(filename, IMREAD_COLOR);
if( image.empty() ) if( image.empty() )
{ {
cout << "Couldn't load " << names[i] << endl; cout << "Couldn't load " << filename << endl;
continue; continue;
} }

9
samples/cpp/stereo_calib.cpp
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@ -18,7 +18,6 @@
Homepage: http://opencv.org Homepage: http://opencv.org
Online docs: http://docs.opencv.org Online docs: http://docs.opencv.org
Q&A forum: http://answers.opencv.org Q&A forum: http://answers.opencv.org
Issue tracker: http://code.opencv.org
GitHub: https://github.com/opencv/opencv/ GitHub: https://github.com/opencv/opencv/
************************************************** */ ************************************************** */
@ -46,11 +45,11 @@ static int print_help()
" on the chessboards, and a flag: useCalibrated for \n" " on the chessboards, and a flag: useCalibrated for \n"
" calibrated (0) or\n" " calibrated (0) or\n"
" uncalibrated \n" " uncalibrated \n"
" (1: use cvStereoCalibrate(), 2: compute fundamental\n" " (1: use stereoCalibrate(), 2: compute fundamental\n"
" matrix separately) stereo. \n" " matrix separately) stereo. \n"
" Calibrate the cameras and display the\n" " Calibrate the cameras and display the\n"
" rectified results along with the computed disparity images. \n" << endl; " rectified results along with the computed disparity images. \n" << endl;
cout << "Usage:\n ./stereo_calib -w=<board_width default=9> -h=<board_height default=6> -s=<square_size default=1.0> <image list XML/YML file default=../data/stereo_calib.xml>\n" << endl; cout << "Usage:\n ./stereo_calib -w=<board_width default=9> -h=<board_height default=6> -s=<square_size default=1.0> <image list XML/YML file default=stereo_calib.xml>\n" << endl;
return 0; return 0;
} }
@ -347,11 +346,11 @@ int main(int argc, char** argv)
Size boardSize; Size boardSize;
string imagelistfn; string imagelistfn;
bool showRectified; bool showRectified;
cv::CommandLineParser parser(argc, argv, "{w|9|}{h|6|}{s|1.0|}{nr||}{help||}{@input|../data/stereo_calib.xml|}"); cv::CommandLineParser parser(argc, argv, "{w|9|}{h|6|}{s|1.0|}{nr||}{help||}{@input|stereo_calib.xml|}");
if (parser.has("help")) if (parser.has("help"))
return print_help(); return print_help();
showRectified = !parser.has("nr"); showRectified = !parser.has("nr");
imagelistfn = parser.get<string>("@input"); imagelistfn = samples::findFile(parser.get<string>("@input"));
boardSize.width = parser.get<int>("w"); boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h"); boardSize.height = parser.get<int>("h");
float squareSize = parser.get<float>("s"); float squareSize = parser.get<float>("s");

4
samples/cpp/stereo_match.cpp
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@ -65,8 +65,8 @@ int main(int argc, char** argv)
print_help(); print_help();
return 0; return 0;
} }
img1_filename = parser.get<std::string>(0); img1_filename = samples::findFile(parser.get<std::string>(0));
img2_filename = parser.get<std::string>(1); img2_filename = samples::findFile(parser.get<std::string>(1));
if (parser.has("algorithm")) if (parser.has("algorithm"))
{ {
std::string _alg = parser.get<std::string>("algorithm"); std::string _alg = parser.get<std::string>("algorithm");

2
samples/cpp/stitching.cpp
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@ -112,7 +112,7 @@ int parseCmdArgs(int argc, char** argv)
} }
else else
{ {
Mat img = imread(argv[i]); Mat img = imread(samples::findFile(argv[i]));
if (img.empty()) if (img.empty())
{ {
cout << "Can't read image '" << argv[i] << "'\n"; cout << "Can't read image '" << argv[i] << "'\n";

4
samples/cpp/stitching_detailed.cpp
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@ -405,7 +405,7 @@ int main(int argc, char* argv[])
for (int i = 0; i < num_images; ++i) for (int i = 0; i < num_images; ++i)
{ {
full_img = imread(img_names[i]); full_img = imread(samples::findFile(img_names[i]));
full_img_sizes[i] = full_img.size(); full_img_sizes[i] = full_img.size();
if (full_img.empty()) if (full_img.empty())
@ -727,7 +727,7 @@ int main(int argc, char* argv[])
LOGLN("Compositing image #" << indices[img_idx]+1); LOGLN("Compositing image #" << indices[img_idx]+1);
// Read image and resize it if necessary // Read image and resize it if necessary
full_img = imread(img_names[img_idx]); full_img = imread(samples::findFile(img_names[img_idx]));
if (!is_compose_scale_set) if (!is_compose_scale_set)
{ {
if (compose_megapix > 0) if (compose_megapix > 0)

2
samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/main_detection.cpp
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@ -2,7 +2,7 @@
#include <iostream> #include <iostream>
#include <time.h> #include <time.h>
// OpenCV // OpenCV
#include <opencv2//core.hpp> #include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp> #include <opencv2/core/utility.hpp>
#include <opencv2/highgui.hpp> #include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp> #include <opencv2/imgproc.hpp>

4
samples/cpp/tvl1_optical_flow.cpp
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@ -164,8 +164,8 @@ int main(int argc, const char* argv[])
return -1; return -1;
} }
Mat frame0 = imread(frame0_name, IMREAD_GRAYSCALE); Mat frame0 = imread(samples::findFile(frame0_name), IMREAD_GRAYSCALE);
Mat frame1 = imread(frame1_name, IMREAD_GRAYSCALE); Mat frame1 = imread(samples::findFile(frame1_name), IMREAD_GRAYSCALE);
if (frame0.empty()) if (frame0.empty())
{ {

6
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" cout << "\nThis is a demo program shows how perspective transformation applied on an image, \n"
"Using OpenCV version " << CV_VERSION << endl; "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 data/right.jpg]\n" << endl;
cout << "\nHot keys: \n" cout << "\nHot keys: \n"
"\tESC, q - quit the program\n" "\tESC, q - quit the program\n"
@ -45,9 +45,9 @@ bool validation_needed = true;
int main(int argc, char** argv) int main(int argc, char** argv)
{ {
help(argv); help(argv);
CommandLineParser parser(argc, argv, "{@input| ../data/right.jpg |}"); CommandLineParser parser(argc, argv, "{@input| data/right.jpg |}");
string filename = parser.get<string>("@input"); string filename = samples::findFile(parser.get<string>("@input"));
Mat original_image = imread( filename ); Mat original_image = imread( filename );
Mat image; Mat image;

8
samples/cpp/watershed.cpp
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@ -13,7 +13,7 @@ static void help()
{ {
cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n" cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n"
"Usage:\n" "Usage:\n"
"./watershed [image_name -- default is ../data/fruits.jpg]\n" << endl; "./watershed [image_name -- default is fruits.jpg]\n" << endl;
cout << "Hot keys: \n" cout << "Hot keys: \n"
@ -48,18 +48,18 @@ static void onMouse( int event, int x, int y, int flags, void* )
int main( int argc, char** argv ) int main( int argc, char** argv )
{ {
cv::CommandLineParser parser(argc, argv, "{help h | | }{ @input | ../data/fruits.jpg | }"); cv::CommandLineParser parser(argc, argv, "{help h | | }{ @input | fruits.jpg | }");
if (parser.has("help")) if (parser.has("help"))
{ {
help(); help();
return 0; return 0;
} }
string filename = parser.get<string>("@input"); string filename = samples::findFile(parser.get<string>("@input"));
Mat img0 = imread(filename, 1), imgGray; Mat img0 = imread(filename, 1), imgGray;
if( img0.empty() ) if( img0.empty() )
{ {
cout << "Couldn'g open image " << filename << ". Usage: watershed <image_name>\n"; cout << "Couldn't open image " << filename << ". Usage: watershed <image_name>\n";
return 0; return 0;
} }
help(); help();

15
samples/data/calibration.yml
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@ -0,0 +1,15 @@
%YAML:1.0
images:
- left01.jpg
- left02.jpg
- left03.jpg
- left04.jpg
- left05.jpg
- left06.jpg
- left07.jpg
- left08.jpg
- left09.jpg
- left11.jpg
- left12.jpg
- left13.jpg
- left14.jpg

6
samples/python/facedetect.py
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@ -43,10 +43,10 @@ if __name__ == '__main__':
cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml") cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml") nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")
cascade = cv.CascadeClassifier(cascade_fn) cascade = cv.CascadeClassifier(cv.samples.findFile(cascade_fn))
nested = cv.CascadeClassifier(nested_fn) nested = cv.CascadeClassifier(cv.samples.findFile(nested_fn))
cam = create_capture(video_src, fallback='synth:bg=../data/lena.jpg:noise=0.05') cam = create_capture(video_src, fallback='synth:bg={}:noise=0.05'.format(cv.samples.findFile('samples/data/lena.jpg')))
while True: while True:
ret, img = cam.read() ret, img = cam.read()

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