cleaning

app.cpp

@@ -15,8 +15,6 @@ using namespace cv;
 Mat coloredFrame(Mat frameDepth);
 void showLevel();
 void showDiff();
-//vector<int> findCercleZ(Mat &rgb);
-//void trackCircle();
 
 
 
@@ -26,7 +24,7 @@ void (*apps[2])() = {showLevel, showDiff};
 int main(int argc, char *argv[])
 {
     if(client.loadConfig()){
-        std::cout << "Error : Couldn't load the configuration" << std::endl;
+        std::cout << "Failed to load the configuration" << std::endl;
         return 1;
     }
 
@@ -39,33 +37,34 @@ int main(int argc, char *argv[])
     apps[n]();*/
 }
 
-void showLevel()
-{
-    char windowName[] = "Sandbox";
+void showLevel(){
+
     Mat frameData;
     Mat colored;
-    Mat proj_frame;
 
-    //client.initWindowsFullScreen();
-    cv::namedWindow(windowName, CV_WINDOW_AUTOSIZE);
+    //Mat proj_frame;
+    //char windowName[] = "Sandbox";
+    //cv::namedWindow(windowName, CV_WINDOW_AUTOSIZE);
+
+    client.initWindowsFullScreen();
 
     do{
         client.getDepthFrame().copyTo(frameData);
         colored = coloredFrame(frameData);
 
-        colored.copyTo(proj_frame);
-        Mat* res = client.adjustProjection(&proj_frame);
-        cv::imshow(windowName, *res);
+        //colored.copyTo(proj_frame);
+        //Mat* res = client.adjustProjection(&proj_frame);
+        //cv::imshow(windowName, *res);
 
-        //client.showImage(&colored);
+        client.showImage(&colored);
 
     } while (waitKey(10) != ESCAPE_CHAR);
     
     cv::destroyAllWindows();
 }
 
-Mat coloredFrame(Mat frameDepth)
-{
+Mat coloredFrame(Mat frameDepth){
+
     Mat depthFrameColored(frameDepth.size(), CV_8U);
     int width = frameDepth.cols, height = frameDepth.rows;
     static uint32_t histogram[0x10000];
@@ -103,6 +102,7 @@ Mat coloredFrame(Mat frameDepth)
     return depthFrameColored;
 }
 
+
 void showDiff(){
 /*
     Mat frameData;
@@ -130,51 +130,3 @@ void showDiff(){
     destroyAllWindows();
     */
 }
-
-/*
-vector<int> findCercleZ(Mat &rgb)
-{
-    Mat src_gray;
-    cvtColor(rgb, src_gray, CV_BGR2GRAY);
-    /// Reduce the noise so we avoid false circle detection
-    GaussianBlur(src_gray, src_gray, Size(9, 9), 2, 2);
-    vector<Vec3f> circles;
-    circles.clear();
-    /// Apply the Hough Transform to find the circles
-    //source, output, method, inverse ratio of resolution, Minimum distance between detected centers, threeshold canny, threeshold center, min radius, max radius
-    HoughCircles(src_gray, circles, CV_HOUGH_GRADIENT, 1, src_gray.rows / 4, 75, 50, 0, 0);
-    //doit tester si le cercle est bon (rayon);
-
-    vector<int> result;
-    if (!circles.empty())
-    {
-        for (int i = 0; i < 3; i++)
-        {
-            result.push_back(round(circles[0][i]));
-        }
-    }
-    return result;
-}
-
-void trackCircle()
-{
-    Mat frameRGB;
-    client.getRGBFrame(&frameRGB);
-    Mat frameColor(frameRGB.size(), CV_8UC3, Scalar(0, 0, 0));
-
-    do
-    {
-        client.getRGBFrame(&frameRGB);
-        vector<int> cercle = findCercleZ(frameRGB);
-        if (!cercle.empty())
-        {
-            Point circlePosition(cercle[0], cercle[1]);
-            cv::circle(frameColor, circlePosition, 3, Scalar(0, 255, 0), -1, 8, 0); // point without transformation
-            cout << circlePosition.x << "x" << circlePosition.y << endl;
-        }
-        client.showImage(frameColor);
-        frameColor.setTo(Scalar(0,0,0));
-
-    } while (waitKey(100) != ESCAPE_CHAR);
-    destroyAllWindows();
-}*/
\ No newline at end of file