Update samples using cmd parser
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@ -2,31 +2,37 @@
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <iostream>
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#include <stdio.h>
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using namespace cv;
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using namespace std;
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void help()
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{
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cout << "\nThis program demonstrated the use of the discrete Fourier transform (dft)\n"
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"The dft of an image is taken and it's power spectrum is displayed.\n"
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"Call:\n"
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"./dft [image_name -- default lena.jpg]\n" << endl;
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printf("\nThis program demonstrated the use of the discrete Fourier transform (dft)\n"
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"The dft of an image is taken and it's power spectrum is displayed.\n"
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"Usage:\n"
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"./dft [image_name -- default lena.jpg]\n");
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}
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int main(int argc, char ** argv)
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const char* keys =
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{
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const char* filename = argc >=2 ? argv[1] : "lena.jpg";
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"{1| |lena.jpg|input image file}"
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};
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Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
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int main(int argc, const char ** argv)
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{
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help();
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CommandLineParser parser(argc, argv, keys);
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string filename = parser.get<string>("1");
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Mat img = imread(filename.c_str(), CV_LOAD_IMAGE_GRAYSCALE);
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if( img.empty() )
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{
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help();
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printf("Cannot read image file: %s\n", filename.c_str());
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return -1;
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}
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help();
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int M = getOptimalDFTSize( img.rows );
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int N = getOptimalDFTSize( img.cols );
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Mat padded;
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@ -5,24 +5,6 @@
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using namespace cv;
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void help()
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{
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printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
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"Usage:\n"
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"./distrans [image_name -- default image is stuff.jpg]\n"
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);
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printf( "\nHot keys: \n"
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"\tESC - quit the program\n"
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"\tC - use C/Inf metric\n"
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"\tL1 - use L1 metric\n"
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"\tL2 - use L2 metric\n"
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"\t3 - use 3x3 mask\n"
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"\t5 - use 5x5 mask\n"
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"\t0 - use precise distance transform\n"
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"\tv - switch Voronoi diagram mode on/off\n"
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"\tSPACE - loop through all the modes\n" );
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}
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int maskSize0 = CV_DIST_MASK_5;
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bool buildVoronoi = false;
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int edgeThresh = 100;
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@ -101,17 +83,41 @@ void onTrackbar( int, void* )
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imshow("Distance Map", dist8u );
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}
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int main( int argc, char** argv )
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void help()
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{
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char* filename = argc == 2 ? argv[1] : (char*)"stuff.jpg";
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gray = imread(filename, 0);
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printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
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"Usage:\n"
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"./distrans [image_name -- default image is stuff.jpg]\n"
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"\nHot keys: \n"
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"\tESC - quit the program\n"
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"\tC - use C/Inf metric\n"
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"\tL1 - use L1 metric\n"
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"\tL2 - use L2 metric\n"
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"\t3 - use 3x3 mask\n"
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"\t5 - use 5x5 mask\n"
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"\t0 - use precise distance transform\n"
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"\tv - switch Voronoi diagram mode on/off\n"
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"\tSPACE - loop through all the modes\n\n");
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}
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const char* keys =
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{
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"{1| |stuff.jpg|input image file}"
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};
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int main( int argc, const char** argv )
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{
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help();
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CommandLineParser parser(argc, argv, keys);
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string filename = parser.get<string>("1");
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gray = imread(filename.c_str(), 0);
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if(gray.empty())
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{
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help();
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printf("Cannot read image file: %s\n", filename.c_str());
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help();
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return -1;
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}
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help();
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namedWindow("Distance Map", 1);
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createTrackbar("Brightness Threshold", "Distance Map", &edgeThresh, 255, onTrackbar, 0);
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@ -1,14 +1,13 @@
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#include "opencv2/core/core.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <iostream>
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#include <stdio.h>
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using namespace cv;
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void help()
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{
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std::cout
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<< "\nThis program demonstrates OpenCV drawing and text output functions.\n"
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"Call:\n"
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"./drawing\n" << std::endl;
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printf("\nThis program demonstrates OpenCV drawing and text output functions.\n"
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"Usage:\n"
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" ./drawing\n");
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}
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static Scalar randomColor(RNG& rng)
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{
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@ -16,9 +15,10 @@ static Scalar randomColor(RNG& rng)
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return Scalar(icolor&255, (icolor>>8)&255, (icolor>>16)&255);
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}
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int main( int, char** )
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int main()
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{
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char wndname[] = "Drawing Demo";
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help();
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char wndname[] = "Drawing Demo";
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const int NUMBER = 100;
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const int DELAY = 5;
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int lineType = CV_AA; // change it to 8 to see non-antialiased graphics
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@ -1,20 +1,11 @@
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <iostream>
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#include <stdio.h>
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using namespace cv;
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using namespace std;
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void help()
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{
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cout <<
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"\nDemonstrate Canny edge detection\n"
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"Call:\n"
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"/.edge [image_name -- Default is fruits.jpg]\n" << endl;
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}
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int edgeThresh = 1;
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Mat image, gray, edge, cedge;
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@ -31,17 +22,32 @@ void onTrackbar(int, void*)
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imshow("Edge map", cedge);
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}
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int main( int argc, char** argv )
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void help()
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{
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char* filename = argc == 2 ? argv[1] : (char*)"fruits.jpg";
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printf("\nThis sample demonstrates Canny edge detection\n"
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"Call:\n"
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" /.edge [image_name -- Default is fruits.jpg]\n\n");
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}
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const char* keys =
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{
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"{1| |fruits.jpg|input image name}"
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};
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int main( int argc, const char** argv )
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{
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help();
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CommandLineParser parser(argc, argv, keys);
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string filename = parser.get<string>("1");
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image = imread(filename, 1);
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if(image.empty())
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{
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help();
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printf("Cannot read image file: %s\n", filename.c_str());
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help();
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return -1;
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}
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help();
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cedge.create(image.size(), image.type());
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cvtColor(image, gray, CV_BGR2GRAY);
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