only show one box

src/papillon.cpp

@@ -12,8 +12,9 @@ using namespace std;
 
 class Traite_image {
 	public:
-		const static int SENSITIVITY_VALUE = 40;
+		const static int SENSITIVITY_VALUE = 30;
 		const static int BLUR_Size = 15;
+		const static int CLOSE_SIZE = 50;
 
 
 		cv::Mat prev;
@@ -161,7 +162,7 @@ class Traite_image {
 			//~ dilated_thres.copyTo(output);
 			
 			cv::Mat closed_thres;
-			cv::Mat structuringElement = getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(40, 40));
+			cv::Mat structuringElement = getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(CLOSE_SIZE, CLOSE_SIZE));
 			cv::morphologyEx( thres, closed_thres, cv::MORPH_CLOSE, structuringElement );
 			
 			//closed_thres.copyTo(output);
@@ -190,11 +191,13 @@ class Traite_image {
 				//largestContourVec.push_back(contours.at(contours.size()-1));
 				//make a bounding rectangle around the largest contour then find its centroid
 				//this will be the object's final esticv::Mated position.
-				for(int i=0; i<contours.size();i++) 
+				//~ for(int i=0; i<contours.size();i++) 
-				{
+				//~ {
-					objectBoundingRectangle = cv::boundingRect(contours[i]);
+					//~ objectBoundingRectangle = cv::boundingRect(contours[i]);
-					cv::rectangle(output, objectBoundingRectangle, cv::Scalar(0, 255, 0), 2);
+					//~ cv::rectangle(output, objectBoundingRectangle, cv::Scalar(0, 255, 0), 2);
-				}
+				//~ }
+				objectBoundingRectangle = cv::boundingRect(contours.at(contours.size()-1));
+				cv::rectangle(output, objectBoundingRectangle, cv::Scalar(0, 255, 0), 2);
 			}
 			//make some temp x and y variables so we dont have to type out so much
 			//~ int x = objectBoundingRectangle.x;