Updating samples using cmd parser
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@ -1,7 +1,9 @@
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#include "opencv2/core/core.hpp"
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#include "opencv2/video/background_segm.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <stdio.h>
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using namespace std;
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using namespace cv;
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void help()
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@ -9,22 +11,33 @@ void help()
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printf("\nDo background segmentation, especially demonstrating the use of cvUpdateBGStatModel().\n"
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"Learns the background at the start and then segments.\n"
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"Learning is togged by the space key. Will read from file or camera\n"
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"Call:\n"
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"./ bgfg_segm [file name -- if no name, read from camera]\n\n");
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"Usage: \n"
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" ./bgfg_segm [--camera]=<use camera, if this key is present>, [--file_name]=<path to movie file> \n\n");
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}
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//this is a sample for foreground detection functions
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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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"{c |camera |false | use camera or not}"
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"{fn|file_name|tree.avi | movie file }"
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};
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//this is a sample for foreground detection functions
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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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bool useCamera = parser.get<bool>("camera");
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string file = parser.get<string>("file_name");
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VideoCapture cap;
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bool update_bg_model = true;
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if( argc < 2 )
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if( useCamera )
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cap.open(0);
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else
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cap.open(argv[1]);
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help();
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cap.open(file.c_str());
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parser.printParams();
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if( !cap.isOpened() )
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{
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printf("can not open camera or video file\n");
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@ -4,6 +4,7 @@
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* Created on: Oct 17, 2010
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* Author: ethan
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*/
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#include "opencv2/core/core.hpp"
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#include "opencv2/calib3d/calib3d.hpp"
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#include "opencv2/features2d/features2d.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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@ -12,20 +13,7 @@
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#include <iostream>
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using namespace cv;
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using std::cout;
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using std::cerr;
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using std::endl;
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using std::vector;
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void help(char **av)
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{
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cerr << "usage: " << av[0] << " im1.jpg im2.jpg"
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<< "\n"
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<< "This program shows how to use BRIEF descriptor to match points in features2d\n"
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<< "It takes in two images, finds keypoints and matches them displaying matches and final homography warped results\n"
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<< endl;
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}
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using namespace std;
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//Copy (x,y) location of descriptor matches found from KeyPoint data structures into Point2f vectors
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void matches2points(const vector<DMatch>& matches, const vector<KeyPoint>& kpts_train,
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@ -53,25 +41,38 @@ double match(const vector<KeyPoint>& /*kpts_train*/, const vector<KeyPoint>& /*k
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return ((double)getTickCount() - t) / getTickFrequency();
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}
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int main(int ac, char ** av)
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void help()
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{
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if (ac != 3)
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{
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help(av);
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return 1;
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}
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string im1_name, im2_name;
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im1_name = av[1];
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im2_name = av[2];
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printf ("This program shows how to use BRIEF descriptor to match points in features2d\n"
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"It takes in two images, finds keypoints and matches them displaying matches and final homography warped results\n"
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"Usage: \n"
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"image1 image2 \n"
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"Example: \n"
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"box.png box_in_scene.png \n");
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}
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const char* keys =
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{
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"{1| |box.png |the first image}"
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"{2| |box_in_scene.png|the second image}"
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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 im1_name = parser.get<string>("1");
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string im2_name = parser.get<string>("2");
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Mat im1 = imread(im1_name, CV_LOAD_IMAGE_GRAYSCALE);
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Mat im2 = imread(im2_name, CV_LOAD_IMAGE_GRAYSCALE);
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if (im1.empty() || im2.empty())
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{
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cerr << "could not open one of the images..." << endl;
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printf( "could not open one of the images...\n");
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printf("the cmd parameters have next current value: \n");
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parser.printParams();
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return 1;
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}
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