mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-27 12:40:05 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

samples: use findFile() in "cpp"

Browse Source
This commit is contained in:
Alexander Alekhin 2018-10-31 15:48:56 +03:00 committed by Alexander Alekhin
parent 2fa9bd221d
commit c4c31f5bba
52 changed files with 359 additions and 286 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
samples/cpp/application_trace.cpp
View File

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

3
samples/cpp/bgfg_segm.cpp
View File

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

25
samples/cpp/calibration.cpp
View File

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

54
samples/cpp/cloning_demo.cpp
View File

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

12
samples/cpp/cloning_gui.cpp
View File

@ -30,14 +30,12 @@
* Result: The cloned image will be displayed.
*/
#include <signal.h>
#include "opencv2/photo.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/core.hpp"
#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
using std::cin;
@ -320,9 +318,9 @@ int main()
cout << "Enter Destination Image: ";
cin >> dest;
img0 = imread(src);
img0 = imread(samples::findFile(src));
img2 = imread(dest);
img2 = imread(samples::findFile(dest));
if(img0.empty())
{
@ -370,7 +368,7 @@ int main()
cout << "Blue: ";
cin >> blue;
img0 = imread(src);
img0 = imread(samples::findFile(src));
if(img0.empty())
{
@ -400,7 +398,7 @@ int main()
cout << "beta: ";
cin >> beta;
img0 = imread(src);
img0 = imread(samples::findFile(src));
if(img0.empty())
{
@ -433,7 +431,7 @@ int main()
cout << "kernel_size: ";
cin >> kernel_size;
img0 = imread(src);
img0 = imread(samples::findFile(src));
if(img0.empty())
{

4
samples/cpp/connected_components.cpp
View File

@ -35,14 +35,14 @@ static void on_trackbar(int, void*)
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.printMessage();
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";
String inputImage = parser.get<string>(0);
img = imread(inputImage, IMREAD_GRAYSCALE);
img = imread(samples::findFile(inputImage), IMREAD_GRAYSCALE);
if(img.empty())
{

8
samples/cpp/create_mask.cpp
View File

@ -95,7 +95,7 @@ void mouseHandler(int event, int x, int y, int, void*)
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.printMessage();
cout << "\n\tleft mouse button - set a point to create mask shape\n"
@ -103,13 +103,13 @@ int main(int argc, char **argv)
"\tmiddle mouse button - reset\n";
String input_image = parser.get<String>("@input");
src = imread(input_image);
src = imread(samples::findFile(input_image));
if (src.empty())
{
{
printf("Error opening image: %s\n", input_image.c_str());
return 0;
}
}
namedWindow("Source", WINDOW_AUTOSIZE);
setMouseCallback("Source", mouseHandler, NULL);

2
samples/cpp/dbt_face_detection.cpp
View File

@ -49,7 +49,7 @@ int main(int , char** )
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<DetectionBasedTracker::IDetector> MainDetector = makePtr<CascadeDetectorAdapter>(cascade);
if ( cascade->empty() )

6
samples/cpp/demhist.cpp
View File

@ -59,12 +59,12 @@ static void updateBrightnessContrast( int /*arg*/, void* )
static void help()
{
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 =
{
"{help h||}{@image|../data/baboon.jpg|input image file}"
"{help h||}{@image|baboon.jpg|input image file}"
};
int main( int argc, const char** argv )
@ -78,7 +78,7 @@ int main( int argc, const char** argv )
string inputImage = parser.get<string>(0);
// Load the source image. HighGUI use.
image = imread( inputImage, 0 );
image = imread(samples::findFile(inputImage), IMREAD_GRAYSCALE);
if(image.empty())
{
std::cerr << "Cannot read image file: " << inputImage << std::endl;

26
samples/cpp/detect_blob.cpp
View File

@ -14,7 +14,7 @@ static void help()
{
cout << "\n This program demonstrates how to use BLOB to detect and filter region \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";
}
@ -70,20 +70,19 @@ static String Legende(SimpleBlobDetector::Params &pAct)
int main(int argc, char *argv[])
{
vector<String> fileName;
Mat img(600, 800, CV_8UC1);
cv::CommandLineParser parser(argc, argv, "{@input |../data/detect_blob.png| }{h help | | }");
String fileName;
cv::CommandLineParser parser(argc, argv, "{@input |detect_blob.png| }{h help | | }");
if (parser.has("h"))
{
help();
return 0;
}
fileName.push_back(parser.get<string>("@input"));
img = imread(fileName[0], IMREAD_COLOR);
if (img.rows*img.cols <= 0)
fileName = parser.get<string>("@input");
Mat img = imread(samples::findFile(fileName), IMREAD_COLOR);
if (img.empty())
{
cout << "Image " << fileName[0] << " is empty or cannot be found\n";
return(0);
cout << "Image " << fileName << " is empty or cannot be found\n";
return 1;
}
SimpleBlobDetector::Params pDefaultBLOB;
@ -116,14 +115,17 @@ int main(int argc, char *argv[])
vector< Vec3b > palette;
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();
// These descriptors are going to be detecting and computing BLOBS with 6 different params
// 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.back().filterByArea = true;
pBLOB.back().minArea = 1;
@ -150,7 +152,7 @@ int main(int argc, char *argv[])
pBLOB.back().filterByConvexity = true;
pBLOB.back().minConvexity = 0.;
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");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByColor = true;

2
samples/cpp/detect_mser.cpp
View File

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

6
samples/cpp/dft.cpp
View File

@ -14,12 +14,12 @@ static void help()
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 ../data/lena.jpg]\n");
"./dft [image_name -- default lena.jpg]\n");
}
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)
@ -32,7 +32,7 @@ int main(int argc, const char ** argv)
return 0;
}
string filename = parser.get<string>(0);
Mat img = imread(filename, IMREAD_GRAYSCALE);
Mat img = imread(samples::findFile(filename), IMREAD_GRAYSCALE);
if( img.empty() )
{
help();

6
samples/cpp/distrans.cpp
View File

@ -91,7 +91,7 @@ static void help()
{
printf("\nProgram to demonstrate the use of the distance transform function between edge images.\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"
"\tESC - quit the program\n"
"\tC - use C/Inf metric\n"
@ -107,7 +107,7 @@ static void help()
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 )
@ -117,7 +117,7 @@ int main( int argc, const char** argv )
if (parser.has("help"))
return 0;
string filename = parser.get<string>(0);
gray = imread(filename, 0);
gray = imread(samples::findFile(filename), 0);
if(gray.empty())
{
printf("Cannot read image file: %s\n", filename.c_str());

6
samples/cpp/edge.cpp
View File

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

38
samples/cpp/facedetect.cpp
View File

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

30
samples/cpp/facial_features.cpp
View File

@ -32,14 +32,14 @@ string face_cascade_path, eye_cascade_path, nose_cascade_path, mouth_cascade_pat
int main(int argc, char** argv)
{
cv::CommandLineParser parser(argc, argv,
"{eyes||}{nose||}{mouth||}{help h||}");
"{eyes||}{nose||}{mouth||}{help h||}{@image||}{@facexml||}");
if (parser.has("help"))
{
help();
return 0;
}
input_image_path = parser.get<string>(0);
face_cascade_path = parser.get<string>(1);
input_image_path = parser.get<string>("@image");
face_cascade_path = parser.get<string>("@facexml");
eye_cascade_path = parser.has("eyes") ? parser.get<string>("eyes") : "";
nose_cascade_path = parser.has("nose") ? parser.get<string>("nose") : "";
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
Mat image;
image = imread(input_image_path);
image = imread(samples::findFile(input_image_path));
// Detect faces and facial features
vector<Rect_<int> > faces;
@ -92,15 +92,16 @@ static void help()
" \nhttps://github.com/opencv/opencv/tree/3.4/data/haarcascades";
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)
{
CascadeClassifier face_cascade;
face_cascade.load(cascade_path);
face_cascade.load(samples::findFile(cascade_path));
face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!face_cascade.empty())
face_cascade.detectMultiScale(img, faces, 1.15, 3, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
@ -186,26 +187,29 @@ static void detectFacialFeaures(Mat& img, const vector<Rect_<int> > faces, strin
static void detectEyes(Mat& img, vector<Rect_<int> >& eyes, string cascade_path)
{
CascadeClassifier eyes_cascade;
eyes_cascade.load(cascade_path);
eyes_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
eyes_cascade.detectMultiScale(img, eyes, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!eyes_cascade.empty())
eyes_cascade.detectMultiScale(img, eyes, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
static void detectNose(Mat& img, vector<Rect_<int> >& nose, string cascade_path)
{
CascadeClassifier nose_cascade;
nose_cascade.load(cascade_path);
nose_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
nose_cascade.detectMultiScale(img, nose, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!nose_cascade.empty())
nose_cascade.detectMultiScale(img, nose, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}
static void detectMouth(Mat& img, vector<Rect_<int> >& mouth, string cascade_path)
{
CascadeClassifier mouth_cascade;
mouth_cascade.load(cascade_path);
mouth_cascade.load(samples::findFile(cascade_path, !cascade_path.empty()));
mouth_cascade.detectMultiScale(img, mouth, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
if (!mouth_cascade.empty())
mouth_cascade.detectMultiScale(img, mouth, 1.20, 5, 0|CASCADE_SCALE_IMAGE, Size(30, 30));
return;
}

2
samples/cpp/falsecolor.cpp
View File

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

6
samples/cpp/ffilldemo.cpp
View File

@ -12,7 +12,7 @@ static void help()
{
cout << "\nThis program demonstrated the floodFill() function\n"
"Call:\n"
"./ffilldemo [image_name -- Default: ../data/fruits.jpg]\n" << endl;
"./ffilldemo [image_name -- Default: fruits.jpg]\n" << endl;
cout << "Hot keys: \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 )
{
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"))
{
@ -82,7 +82,7 @@ int main( int argc, char** argv )
return 0;
}
string filename = parser.get<string>("@image");
image0 = imread(filename, 1);
image0 = imread(samples::findFile(filename), 1);
if( image0.empty() )
{

4
samples/cpp/filestorage.cpp
View File

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

6
samples/cpp/fitellipse.cpp
View File

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

4
samples/cpp/grabcut.cpp
View File

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

1
samples/cpp/gstreamer_pipeline.cpp
View File

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

6
samples/cpp/image.cpp
View File

@ -14,7 +14,7 @@ static void help()
"It shows reading of images, converting to planes and merging back, color conversion\n"
"and also iterating through pixels.\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.
@ -27,7 +27,7 @@ static void help()
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"))
{
help();
@ -47,7 +47,7 @@ int main( int argc, char** argv )
// is converted, while the data is shared)
//! [iplimage]
#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())
{
fprintf(stderr, "Can not load image %s\n", imagename.c_str());

12
samples/cpp/image_alignment.cpp
View File

@ -3,7 +3,7 @@
* 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,
* 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.
@ -44,7 +44,7 @@ static void draw_warped_roi(Mat& image, const int width, const int height, Mat&
const std::string keys =
"{@inputImage | ../data/fruits.jpg | input image filename }"
"{@inputImage | fruits.jpg | input image filename }"
"{@templateImage | | template image filename (optional)}"
"{@inputWarp | | input warp (matrix) filename (optional)}"
"{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. "
"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;
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;
}
@ -212,7 +212,7 @@ int main (const int argc, const char * argv[])
else
mode_temp = MOTION_HOMOGRAPHY;
Mat inputImage = imread(imgFile,0);
Mat inputImage = imread(samples::findFile(imgFile), IMREAD_GRAYSCALE);
if (inputImage.empty())
{
cerr << "Unable to load the inputImage" << endl;
@ -224,7 +224,7 @@ int main (const int argc, const char * argv[])
if (tempImgFile!="") {
inputImage.copyTo(target_image);
template_image = imread(tempImgFile,0);
template_image = imread(samples::findFile(tempImgFile), IMREAD_GRAYSCALE);
if (template_image.empty()){
cerr << "Unable to load the template image" << endl;
return -1;

12
samples/cpp/inpaint.cpp
View File

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

51
samples/cpp/laplace.cpp
View File

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

6
samples/cpp/letter_recog.cpp
View File

@ -520,13 +520,13 @@ int main( int argc, char *argv[] )
string data_filename;
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||}");
data_filename = parser.get<string>("data");
data_filename = samples::findFile(parser.get<string>("data"));
if (parser.has("save"))
filename_to_save = parser.get<string>("save");
if (parser.has("load"))
filename_to_load = parser.get<string>("load");
filename_to_load = samples::findFile(parser.get<string>("load"));
if (parser.has("boost"))
method = 1;
else if (parser.has("mlp"))

106
samples/cpp/live_detect_qrcode.cpp
View File

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

2
samples/cpp/logistic_regression.cpp
View File

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

4
samples/cpp/lsd_lines.cpp
View File

@ -9,7 +9,7 @@ using namespace cv;
int main(int argc, char** 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}"
"{canny c|false|use Canny edge detector}"
"{overlay o|false|show result on input image}"
@ -23,7 +23,7 @@ int main(int argc, char** argv)
parser.printMessage();
String filename = parser.get<String>("input");
String filename = samples::findFile(parser.get<String>("input"));
bool useRefine = parser.get<bool>("refine");
bool useCanny = parser.get<bool>("canny");
bool overlay = parser.get<bool>("overlay");

24
samples/cpp/mask_tmpl.cpp
View File

@ -8,17 +8,27 @@ using namespace cv;
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv,
"{ i | ../data/lena_tmpl.jpg |image name }"
"{ t | ../data/tmpl.png |template name }"
"{ m | ../data/mask.png |mask name }"
"{ i | lena_tmpl.jpg |image name }"
"{ t | tmpl.png |template name }"
"{ m | mask.png |mask name }"
"{ 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();
string filename = parser.get<string>("i");
string tmplname = parser.get<string>("t");
string maskname = parser.get<string>("m");
string filename = samples::findFile(parser.get<string>("i"));
string tmplname = samples::findFile(parser.get<string>("t"));
string maskname = samples::findFile(parser.get<string>("m"));
Mat img = imread(filename);
Mat tmpl = imread(tmplname);
Mat mask = imread(maskname);

38
samples/cpp/matchmethod_orb_akaze_brisk.cpp
View File

@ -12,7 +12,7 @@ static void help()
{
cout << "\n This program demonstrates how to detect compute and match ORB BRISK and AKAZE descriptors \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";
}
@ -28,34 +28,34 @@ int main(int argc, char *argv[])
typeDesc.push_back("AKAZE"); // see http://docs.opencv.org/trunk/d8/d30/classcv_1_1AKAZE.html
typeDesc.push_back("ORB"); // see http://docs.opencv.org/trunk/de/dbf/classcv_1_1BRISK.html
typeDesc.push_back("BRISK"); // see http://docs.opencv.org/trunk/db/d95/classcv_1_1ORB.html
// This algorithm would be used to match descriptors see http://docs.opencv.org/trunk/db/d39/classcv_1_1DescriptorMatcher.html#ab5dc5036569ecc8d47565007fa518257
// This algorithm would be used to match descriptors see http://docs.opencv.org/trunk/db/d39/classcv_1_1DescriptorMatcher.html#ab5dc5036569ecc8d47565007fa518257
typeAlgoMatch.push_back("BruteForce");
typeAlgoMatch.push_back("BruteForce-L1");
typeAlgoMatch.push_back("BruteForce-Hamming");
typeAlgoMatch.push_back("BruteForce-Hamming(2)");
cv::CommandLineParser parser(argc, argv,
"{ @image1 | ../data/basketball1.png | }"
"{ @image2 | ../data/basketball2.png | }"
"{ @image1 | basketball1.png | }"
"{ @image2 | basketball2.png | }"
"{help h ||}");
if (parser.has("help"))
{
help();
return 0;
}
fileName.push_back(parser.get<string>(0));
fileName.push_back(parser.get<string>(1));
fileName.push_back(samples::findFile(parser.get<string>(0)));
fileName.push_back(samples::findFile(parser.get<string>(1)));
Mat img1 = imread(fileName[0], IMREAD_GRAYSCALE);
Mat img2 = imread(fileName[1], IMREAD_GRAYSCALE);
if (img1.rows*img1.cols <= 0)
{
cout << "Image " << fileName[0] << " is empty or cannot be found\n";
return(0);
}
if (img2.rows*img2.cols <= 0)
{
cout << "Image " << fileName[1] << " is empty or cannot be found\n";
return(0);
}
if (img1.empty())
{
cerr << "Image " << fileName[0] << " is empty or cannot be found" << endl;
return 1;
}
if (img2.empty())
{
cerr << "Image " << fileName[1] << " is empty or cannot be found" << endl;
return 1;
}
vector<double> desMethCmp;
Ptr<Feature2D> b;
@ -74,10 +74,10 @@ int main(int argc, char *argv[])
vector<String>::iterator itMatcher = typeAlgoMatch.end();
if (*itDesc == "AKAZE-DESCRIPTOR_KAZE_UPRIGHT"){
b = AKAZE::create(AKAZE::DESCRIPTOR_KAZE_UPRIGHT);
}
}
if (*itDesc == "AKAZE"){
b = AKAZE::create();
}
}
if (*itDesc == "ORB"){
b = ORB::create();
}
@ -157,12 +157,12 @@ int main(int argc, char *argv[])
}
catch (const Exception& e)
{
cerr << "Exception: " << e.what() << endl;
cout << "Feature : " << *itDesc << "\n";
if (itMatcher != typeAlgoMatch.end())
{
cout << "Matcher : " << *itMatcher << "\n";
}
cout << e.msg << endl;
}
}
int i=0;

2
samples/cpp/minarea.cpp
View File

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

19
samples/cpp/morphology2.cpp
View File

@ -33,8 +33,8 @@ int erode_dilate_pos = 0;
// callback function for open/close trackbar
static void OpenClose(int, void*)
{
int n = open_close_pos - max_iters;
int an = n > 0 ? n : -n;
int n = open_close_pos;
int an = abs(n);
Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) );
if( n < 0 )
morphologyEx(src, dst, MORPH_OPEN, element);
@ -46,8 +46,8 @@ static void OpenClose(int, void*)
// callback function for erode/dilate trackbar
static void ErodeDilate(int, void*)
{
int n = erode_dilate_pos - max_iters;
int an = n > 0 ? n : -n;
int n = erode_dilate_pos;
int an = abs(n);
Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an) );
if( n < 0 )
erode(src, dst, element);
@ -59,13 +59,13 @@ static void ErodeDilate(int, void*)
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"))
{
help();
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() )
{
help();
@ -78,7 +78,14 @@ int main( int argc, char** argv )
open_close_pos = erode_dilate_pos = max_iters;
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);
setTrackbarMin("iterations", "Erode/Dilate", -max_iters);
setTrackbarMax("iterations", "Erode/Dilate", max_iters);
setTrackbarPos("iterations", "Erode/Dilate", 0);
for(;;)
{

14
samples/cpp/npr_demo.cpp
View File

@ -28,26 +28,22 @@ using namespace cv;
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"))
{
parser.printMessage();
exit(0);
}
if (parser.get<string>("@image").empty())
{
parser.printMessage();
exit(0);
return 0;
}
string filename = samples::findFile(parser.get<string>("@image"));
Mat I = imread(parser.get<string>("@image"));
Mat I = imread(filename);
int num,type;
if(I.empty())
{
cout << "Image not found" << endl;
exit(0);
return 1;
}
cout << endl;

5
samples/cpp/peopledetect.cpp
View File

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

5
samples/cpp/points_classifier.cpp
View File

@ -2,11 +2,6 @@
#include "opencv2/imgproc.hpp"
#include "opencv2/ml.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>

2
samples/cpp/polar_transforms.cpp
View File

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

2
samples/cpp/segment_objects.cpp
View File

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

2
samples/cpp/select3dobj.cpp
View File

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

11
samples/cpp/smiledetect.cpp
View File

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

9
samples/cpp/squares.cpp
View File

@ -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[] = { "data/pic1.png", "data/pic2.png", "data/pic3.png",
"data/pic4.png", "data/pic5.png", "data/pic6.png", 0 };
help(argv[0]);
if( argc > 1)
@ -152,10 +152,11 @@ int main(int argc, char** argv)
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() )
{
cout << "Couldn't load " << names[i] << endl;
cout << "Couldn't load " << filename << endl;
continue;
}

9
samples/cpp/stereo_calib.cpp
View File

@ -18,7 +18,6 @@
Homepage: http://opencv.org
Online docs: http://docs.opencv.org
Q&A forum: http://answers.opencv.org
Issue tracker: http://code.opencv.org
GitHub: https://github.com/opencv/opencv/
************************************************** */
@ -46,11 +45,11 @@ static int print_help()
" on the chessboards, and a flag: useCalibrated for \n"
" calibrated (0) or\n"
" uncalibrated \n"
" (1: use cvStereoCalibrate(), 2: compute fundamental\n"
" (1: use stereoCalibrate(), 2: compute fundamental\n"
" matrix separately) stereo. \n"
" Calibrate the cameras and display the\n"
" 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;
}
@ -347,11 +346,11 @@ int main(int argc, char** argv)
Size boardSize;
string imagelistfn;
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"))
return print_help();
showRectified = !parser.has("nr");
imagelistfn = parser.get<string>("@input");
imagelistfn = samples::findFile(parser.get<string>("@input"));
boardSize.width = parser.get<int>("w");
boardSize.height = parser.get<int>("h");
float squareSize = parser.get<float>("s");

4
samples/cpp/stereo_match.cpp
View File

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

2
samples/cpp/stitching.cpp
View File

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

4
samples/cpp/stitching_detailed.cpp
View File

@ -405,7 +405,7 @@ int main(int argc, char* argv[])
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();
if (full_img.empty())
@ -727,7 +727,7 @@ int main(int argc, char* argv[])
LOGLN("Compositing image #" << indices[img_idx]+1);
// 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 (compose_megapix > 0)

2
samples/cpp/tutorial_code/calib3d/real_time_pose_estimation/src/main_detection.cpp
View File

@ -2,7 +2,7 @@
#include <iostream>
#include <time.h>
// OpenCV
#include <opencv2//core.hpp>
#include <opencv2/core.hpp>
#include <opencv2/core/utility.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

4
samples/cpp/tvl1_optical_flow.cpp
View File

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

6
samples/cpp/warpPerspective_demo.cpp
View File

@ -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 data/right.jpg]\n" << endl;
cout << "\nHot keys: \n"
"\tESC, q - quit the program\n"
@ -45,9 +45,9 @@ 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| data/right.jpg |}");
string filename = parser.get<string>("@input");
string filename = samples::findFile(parser.get<string>("@input"));
Mat original_image = imread( filename );
Mat image;

8
samples/cpp/watershed.cpp
View File

@ -13,7 +13,7 @@ static void help()
{
cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\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"
@ -48,18 +48,18 @@ static void onMouse( int event, int x, int y, int flags, void* )
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"))
{
help();
return 0;
}
string filename = parser.get<string>("@input");
string filename = samples::findFile(parser.get<string>("@input"));
Mat img0 = imread(filename, 1), imgGray;
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;
}
help();

15
samples/data/calibration.yml Normal file
View File

@ -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
View File

@ -43,10 +43,10 @@ if __name__ == '__main__':
cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
nested_fn = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")
cascade = cv.CascadeClassifier(cascade_fn)
nested = cv.CascadeClassifier(nested_fn)
cascade = cv.CascadeClassifier(cv.samples.findFile(cascade_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:
ret, img = cam.read()