14, 15

README.md

@@ -3,11 +3,11 @@
 
 This is the example code that accompanies Learning OpenCV 3 by Adrian Kaehler and Gary Bradski (9781491937990). 
 
-~~In progress May 24, 2017~~
-~~In progress June 13, 2017~~
-~~In progress June 20, 2017~~
-~~In progress June 22, 2017~~
-In progress June 30, 2017
+* ~~In progress May 24, 2017~~
+* ~~In progress June 13, 2017~~
+* ~~In progress June 20, 2017~~
+* ~~In progress June 22, 2017~~
+* ~~In progress July 02, 2017~~
 
 **To do:**
 * ~~Chapter 15~~
@@ -20,7 +20,7 @@ In progress June 30, 2017
 * ~~Chapter 22~~
 
 Checking Chapters
-~~2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,~~ 14, 15 16 17 18 19 20 ~~21 22 23~~
+~~2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15~~ 16 17 18 19 20 ~~21 22 23~~
 
 * Submit associated errata for ~~15 16~~ 17 18 19 20 21 22
 * Throw in some bonus material

example_14-01.cpp

@@ -29,7 +29,7 @@ void on_trackbar( int, void* ) {
 int main( int argc, char** argv ) {
   if( argc != 2 || ( g_gray = cv::imread(argv[1], 0)).empty() ) {
     cout << "\nExample 14-1: Find threshold dependent contours\nUsage:\n" <<argv[0]
-         <<"fruits.jpg\n" << endl;
+         <<" ../fruits.jpg\n" << endl;
     return -1;
   }
   cv::namedWindow( "Contours", 1 );

example_14-02.cpp

@@ -19,7 +19,9 @@ int main(int argc, char* argv[]) {
   // load image or show help if no image was provided
   //
   if( argc != 2 || (img = cv::imread(argv[1],cv::IMREAD_GRAYSCALE)).empty() ) {
-    cout << "\nExample 14_2: Drawing Contours\nCall is:\n" << argv[0] << " image\n\n";
+	  cout << "\nERROR: You need 2 parameters, you had " << argc << "\n" << endl;
+    cout << "\nExample 14_2: Drawing Contours\nCall is:\n" << argv[0] << " <image>\n\n"
+         << "Example:\n" << argv[0] << " ../box.png\n" << endl;
     return -1;
   }
 

example_14-03.cpp

@@ -8,23 +8,27 @@ using namespace std;
 
 int main(int argc, char* argv[]) {
 
-  cv::Mat img, img_edge, labels, img_color, stats;
+  cv::Mat img, img_edge, labels, centroids, img_color, stats;
 
   // load image or show help if no image was provided
-  if( argc != 2
+  if( (argc != 2)
   || (img = cv::imread( argv[1], cv::IMREAD_GRAYSCALE )).empty()
   ) {
-    cout << "\nExample 14-3: Drawing labeled connected componnents\n" \
-    << "Call is:\n" <<argv[0] <<" image\n\n";
+	cout << "\nERROR: You need 2 parameters, you had " << argc << "\n" << endl;
+    cout << "\nExample 14-3: Drawing labeled connected componnents\n"
+    << "Call is:\n" <<argv[0] <<" <path/image>\n"
+    << "\nExample:\n" << argv[0] << " ../HandIndoorColor.jpg\n" << endl; 
     return -1;
   }
 
   cv::threshold(img, img_edge, 128, 255, cv::THRESH_BINARY);
   cv::imshow("Image after threshold", img_edge);
 
   int i, nccomps = cv::connectedComponentsWithStats (
-  img_edge, labels,
-  stats, cv::noArray()
+	img_edge, 
+	labels,
+	stats, 
+	centroids
   );
   cout << "Total Connected Components Detected: " << nccomps << endl;
 

example_14-04.cpp

@@ -37,15 +37,18 @@ void help(char** argv) {
   cout << "\nExample 14-4. Using the shape context distance extractor"
        << "\nNOTE: See images to try in ../shape_sample/\n"
        << "\nCall:\n" << argv[0] << " <path/image_1> <path/image2>\n"
-       << "\nExample:\n" << argv[0] << " ../shape1.jpg ../shape2.jpg\n"
+       << "\nMISSMATCH Example:\n" << argv[0] << "  ../shape_sample/1.png ../shape_sample/3.png\n"
+       << "\MATCH Example:\n" << argv[0] << "  ../shape_sample/3.png ../shape_sample/4.png\n"       
        << endl;
 }
 
 
 int main(int argc, char** argv) {
-  if(argc != 3)
+	help(argv);
+  if(argc != 3) {
     cout << "\nERROR: you need 2 parameters, you had " << argc << " parameters.\n" << endl;
-  help(argv);
+	return -1;
+  }
   string path = "../data/shape_sample/";
   int indexQuery = 1;
 
@@ -59,6 +62,9 @@ int main(int argc, char** argv) {
   float dis = mysc->computeDistance( c1, c2 );
   cout << "shape context distance between " <<
     argv[1] << " and " << argv[2] << " is: " << dis << endl;
+      cv::imshow("SHAPE #1", img1);
+      cv::imshow("SHAPE #2",img2);
+      cv::waitKey();
 
   return 0;
 

example_15-01.cpp

@@ -9,8 +9,9 @@ using namespace std;
 
 void help(char** argv ) {
 	cout << "\n"
-		<< "Read out RGB pixel values and store them to disk\nCall:\n"
-		<< argv[0] <<" avi_file\n"
+		<< "Example: 15-1: Read out RGB pixel values and store them to disk\nCall:\n"
+		<< argv[0] <<" <path/video_file>\n"
+		<< "\nExample:\n" << argv[0] << " ../tree.avi"
 		<< "\n This will store to files blines.csv, glines.csv and rlines.csv\n\n"
 		<< endl;
 }

example_15-BackgroundSubtractor.cpp

@@ -33,7 +33,7 @@ void help()
                                                                                     << endl
     << "Usage:"                                                                     << endl
     << "./example_15-BackgroundSubtractor {<#framesTraining> -vid <video filename>|-img <image filename>}\n"  << endl
-    << "for example: ./example_15-BackgroundSubtractor 50 -vid ../video.avi"        << endl
+    << "for example: ./example_15-BackgroundSubtractor 50 -vid ../tree.avi"         << endl
     << "or: ./example_15-BackgroundSubtractor 20 -img /data/images/1.png"           << endl
     << "\n" 																		<< endl
     << "This file demonstrates the MOG2 class, you can go to opencv docs to see"    << endl
@@ -131,6 +131,7 @@ void processVideo(char* videoFilename, int train) {
 */
         //get the input from the keyboard
         if(frame_count >= train) {
+			cout << "\nHit any key to continue\n" << endl;
 			keyboard = waitKey(); //single step with keyboard press in run mode
 		} else {
 			keyboard = waitKey( 10 ); //run automatically in train mode
@@ -195,6 +196,7 @@ void processImages(char* fistFrameFilename, int train) {
 
         //get the input from the keyboard
         if(frame_count >= train) {
+			cout << "\nHit any key to continue\n" << endl;
 			keyboard = waitKey(); //Single step with keyboard press in test mode
 		} else {
 			keyboard = waitKey( 10 ); //Run automatically in train mode