using namespace cv;
using namespace std;
-void help()
-{
- cout << "\nThis is a demo that shows mean-shift based tracking\n"
- << "You select a color objects such as your face and it tracks it.\n"
- << "This reads from video camera (0 by default, or the camera number the user enters\n"
- << "Call:\n"
- << "\n./camshiftdemo [camera number]"
- << "\n" << endl;
-
- cout << "\n\nHot keys: \n"
- "\tESC - quit the program\n"
- "\tc - stop the tracking\n"
- "\tb - switch to/from backprojection view\n"
- "\th - show/hide object histogram\n"
- "\tp - pause video\n"
- "To initialize tracking, select the object with mouse\n" << endl;
-}
-
Mat image;
bool backprojMode = false;
}
}
+void help()
+{
+ printf("\nThis is a demo that shows mean-shift based tracking\n"
+ "You select a color objects such as your face and it tracks it.\n"
+ "This reads from video camera (0 by default, or the camera number the user enters\n"
+ "Usage: \n"
+ " ./camshiftdemo [camera number]\n");
+
+ printf("\n\nHot keys: \n"
+ "\tESC - quit the program\n"
+ "\tc - stop the tracking\n"
+ "\tb - switch to/from backprojection view\n"
+ "\th - show/hide object histogram\n"
+ "\tp - pause video\n"
+ "To initialize tracking, select the object with mouse\n");
+}
+const char* keys =
+{
+ "{1| | 0 | camera number}"
+};
-int main( int argc, char** argv )
+int main( int argc, const char** argv )
{
+ help();
+
VideoCapture cap;
Rect trackWindow;
RotatedRect trackBox;
int hsize = 16;
float hranges[] = {0,180};
const float* phranges = hranges;
-
- if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
- cap.open(argc == 2 ? argv[1][0] - '0' : 0);
- else if( argc == 2 )
- cap.open(argv[1]);
+ CommandLineParser parser(argc, argv, keys);
+ int camNum = parser.get<int>("1");
+
+ cap.open(camNum);
if( !cap.isOpened() )
{
help();
- cout << "***Could not initialize capturing...***\n";
- return 0;
+ printf("***Could not initialize capturing...***\n");
+ printf("Current parameter's value: \n");
+ parser.printParams();
+ return -1;
}
- help();
-
namedWindow( "Histogram", 0 );
namedWindow( "CamShift Demo", 0 );
setMouseCallback( "CamShift Demo", onMouse, 0 );
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/contrib/contrib.hpp"
-#include <iostream>
-
using namespace cv;
using namespace std;
void help()
{
- cout <<
- "\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
+
+ printf("\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
"edge template and a query edge image.\n"
- "Usage:\n"
+ "Usage: \n"
"./chamfer <image edge map> <template edge map>,"
- " By default the inputs are logo_in_clutter.png logo.png\n" << endl;
+ " By default the inputs are logo_in_clutter.png logo.png\n");
+
- return;
}
+const char* keys =
+{
+ "{1| |logo_in_clutter.png|image edge map }"
+ "{2| |logo.png |template edge map}"
+};
-int main( int argc, char** argv )
+int main( int argc, const char** argv )
{
- if( argc != 3 )
- {
- help();
- return 0;
- }
- Mat img = imread(argc == 3 ? argv[1] : "logo_in_clutter.png", 0);
+ help();
+ CommandLineParser parser(argc, argv, keys);
+
+ string image = parser.get<string>("1");
+ string templ = parser.get<string>("2");
+ Mat img = imread(image.c_str(), 0);
+ Mat tpl = imread(templ.c_str(), 0);
+
+ if (img.empty() || tpl.empty())
+ {
+ printf("Could not read image file %s or %s \n", image.c_str(), templ.c_str());
+ return -1;
+ }
Mat cimg;
cvtColor(img, cimg, CV_GRAY2BGR);
- Mat tpl = imread(argc == 3 ? argv[2] : "logo.png", 0);
// if the image and the template are not edge maps but normal grayscale images,
// you might want to uncomment the lines below to produce the maps. You can also
int best = chamerMatching( img, tpl, results, costs );
if( best < 0 )
{
- cout << "matching not found\n";
- return 0;
+ printf("matching not found\n");
+ return -1;
}
size_t i, n = results[best].size();