Help and parsing command line were updated in next samples: chamfer

samples/cpp/camshiftdemo.cpp

@@ -3,7 +3,7 @@
 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/highgui/highgui.hpp"
 
-#include <iostream>
+//#include <iostream>
 #include <stdio.h>
 #include <ctype.h>
 
@@ -78,16 +78,12 @@ int main( int argc, const char** argv )
     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]);
     cap.open(cameraInd);
 
     if( !cap.isOpened() )
     {
     	help();
-        cout << "***Could not initialize capturing...***\n";
+        printf("***Could not initialize capturing...***\n");
         return 0;
     }
 

samples/cpp/chamfer.cpp

@@ -2,33 +2,45 @@
 #include "opencv2/highgui/highgui.hpp"
 #include "opencv2/contrib/contrib.hpp"
 
-#include <iostream>
+#include <stdio.h>
 
 using namespace cv;
 using namespace std;
 
 void help()
 {
-	cout <<
-			"\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
-			"edge template and a query edge image.\n"
-			"Call:\n"
-			"./chamfer [<image edge map> <template edge map>]\n"
-			"By default\n"
-			"the inputs are ./chamfer logo_in_clutter.png logo.png\n"<< endl;
+    printf("\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
+           "edge template and a query edge image.\n"
+           "Usage:\n"
+           "./chamfer [<image edge map, logo_in_clutter.png as default>\n"
+           "<template edge map, logo.png as default>]\n"
+           "Example: \n"
+           "    ./chamfer logo_in_clutter.png logo.png\n");
 }
-int main( int argc, char** argv )
+int main( int argc, const char** argv )
 {
-    if( argc != 1 && argc != 3 )
-    {
-        help();
-        return 0;
-    }
-    Mat img = imread(argc == 3 ? argv[1] : "logo_in_clutter.png", 0);
+    help();
+
+    CommandLineParser parser(argc, argv);
+
+    string image = parser.get<string>("0","logo_in_clutter.png");
+    string tempLate = parser.get<string>("1","logo.png");
+    Mat img = imread(image,0);
     Mat cimg;
     cvtColor(img, cimg, CV_GRAY2BGR);
-    Mat tpl = imread(argc == 3 ? argv[2] : "logo.png", 0);
+    Mat tpl = imread(tempLate,0);
+
+//    Mat img = imread(argc == 3 ? argv[1] : "logo_in_clutter.png", 0);
+//    Mat cimg;
+//    cvtColor(img, cimg, CV_GRAY2BGR);
+//    Mat tpl = imread(argc == 3 ? argv[2] : "logo.png", 0);
     
+//    if( argc != 1 && argc != 3 )
+//    {
+//        help();
+//        return 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
     // run Sobel instead of Canny.
@@ -41,7 +53,7 @@ int main( int argc, char** argv )
     int best = chamerMatching( img, tpl, results, costs );
     if( best < 0 )
     {
-        cout << "not found;\n";
+        printf("not found;\n");
         return 0;
     }