public static void captureFrame() {
    // ---------These objects allow us to edit the variables used in the scalar polygon
    // recognition------
    JLabel blueMaxValueLabel = new JLabel("Max Blue Value");
    JTextField blueMaxValueField = new JTextField("255.0", 5);

    JLabel blueMinValueLabel = new JLabel("Min Blue Value");
    JTextField blueMinValueField = new JTextField("100.0", 5);

    JLabel greenMaxValueLabel = new JLabel("Max Green Value");
    JTextField greenMaxValueField = new JTextField("255.0", 5);

    JLabel greenMinValueLabel = new JLabel("Min Green Value");
    JTextField greenMinValueField = new JTextField("215.0", 5);

    JLabel redMaxValueLabel = new JLabel("Max Red Value");
    JTextField redMaxValueField = new JTextField("45.0", 5);

    JLabel redMinValueLabel = new JLabel("Min Red Value");
    JTextField redMinValueField = new JTextField("0.0", 5);

    JLabel yLabel = new JLabel("Y");
    JTextField yValue = new JTextField(5);
    boolean hotZone = false;

    // ---------------------------------End object lists-------------------------------------
    String source = "http://*****:*****@10.12.59.11/mjpg/video.mjpg";
    FrameGrabber grabber = new OpenCVFrameGrabber(source); // new VideoInputFrameGrabber(0);
    try {
      Thread.sleep(1000);
    } catch (InterruptedException ex) {
      Logger.getLogger(CaptureImage.class.getName()).log(Level.SEVERE, null, ex);
    }

    CanvasFrame canvas = new CanvasFrame("WebCam");
    canvas.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);
    CanvasFrame before = new CanvasFrame("before");
    before.setDefaultCloseOperation(javax.swing.JFrame.HIDE_ON_CLOSE);
    GridBagLayout gridBag = new GridBagLayout();
    before.setLayout(gridBag);
    GridBagConstraints gbc = new GridBagConstraints();
    gbc.fill = GridBagConstraints.VERTICAL;
    gridBag.setConstraints(before.getComponent(0), gbc);
    gbc.fill = GridBagConstraints.NONE;
    gbc.gridx = 1;
    gbc.gridy = 0;
    before.add(blueMaxValueLabel, gbc);
    gbc.gridx = 2;
    before.add(blueMaxValueField, gbc);
    gbc.gridx = 3;
    before.add(blueMinValueLabel, gbc);
    gbc.gridx = 4;
    before.add(blueMinValueField, gbc);
    // before.add(blueMinValueField);
    gbc.gridx = 1;
    gbc.gridy = 2;
    before.add(greenMaxValueLabel, gbc);
    gbc.gridx = 2;
    before.add(greenMaxValueField, gbc);
    gbc.gridx = 3;
    before.add(greenMinValueLabel, gbc);
    gbc.gridx = 4;
    before.add(greenMinValueField, gbc);
    // before.add(greenMinValueField);
    gbc.gridx = 1;
    gbc.gridy = 3;
    before.add(redMaxValueLabel, gbc);
    gbc.gridx = 2;
    before.add(redMaxValueField, gbc);
    gbc.gridx = 3;
    before.add(redMinValueLabel, gbc);
    gbc.gridx = 4;
    before.add(redMinValueField, gbc);
    before.add(yLabel);
    before.add(yValue);
    // before.add(redMinValueField);

    int numOfScreens = 39;
    //        String loadingPic = "C:\\loadingScreen\\loadingScreen"
    //                + (((int) (Math.random() * numOfScreens)) + 1) + ".bmp";
    int failedGrabs = 0;
    NetworkTable.setTeam(
        1259); // Capture image requires the setTeam method because it does not have use
               // Smartdashboard which already assigns a team number in the from of a network table
    NetworkTable.setIPAddress("10.12.59.2");
    NetworkTable.setClientMode();
    NetworkTable.getTable("SmartDashboard").putBoolean("TestTable", hotZone);
    while (true) {
      try {
        //                try {
        //                    IplImage splashScreen = new IplImage(cvLoadImage(loadingPic));
        //                    canvas.showImage(splashScreen);
        //                } catch (Exception e) {
        //                }
        grabber.start();
        IplImage img;
        // IplImage hsv;
        // IplImage canny;
        IplImage displayImg;
        IplImage dst;
        PolygonFinder polyFind = new PolygonFinder();

        //                try {
        //                    NetworkTable.getTable("camera").putNumber("distance", 0);
        //                    NetworkTable.getTable("camera").putBoolean("hotZone", false);
        //                } catch (Exception e) {
        //                }

        while (true) {

          while (true) {
            try {
              // System.out.println("grabbing...");
              img = new IplImage(grabber.grab());
              displayImg = new IplImage(cvCreateImage(img.cvSize(), img.depth(), img.nChannels()));
              cvCopy(img, displayImg, null);
              // System.out.println("Frame GRABBED!");
              break;
            } catch (Exception e) {
              failedGrabs++;
              System.out.println(failedGrabs);
              if (failedGrabs > 10) {
                grabber = new OpenCVFrameGrabber(source);
                grabber.start();
                failedGrabs = 0;
              }
              continue;
            }
          }

          //            PolygonFinder polyFind = new PolygonFinder(img);
          //            ArrayList<PolygonStructure> polygons = polyFind.findPolygons(4);
          //            for (int i = 0; i < polygons.size(); i++) {
          //                polygons.get(i).drawShape(img, CvScalar.MAGENTA);
          //                }
          //            canvas.showImage(img);
          //            return;
          if (img != null) {
            // cvSaveImage("originalcapture.jpg", img);
          }
          // IplImage gray = cvCreateImage(cvGetSize(img), img.depth(), 1 );
          // hsv = new IplImage(cvCreateImage(cvGetSize(img), img.depth(), 3));
          dst = new IplImage(cvCreateImage(cvGetSize(img), img.depth(), 1));
          // cvCvtColor(img, gray, CV_RGB2GRAY);

          // cvCvtColor(img, hsv, CV_BGR2HSV);
          //            if(hsv != null) {
          //                cvSaveImage("hsv.jpg", hsv);
          //            }
          // 30 20 0; 70 140 60
          // 50 175 75 //// 100 255 225
          // cvInRangeS(hsv, cvScalar(0, 200, 0, 0), cvScalar(150, 255, 255, 0), dst);
          // cvDrawLine(img, new CvPoint(0, 360), new CvPoint(639, 360), CvScalar.BLACK, 240, 8, 0);
          // cvInRangeS(img, cvScalar(100, 215, 0, 0), cvScalar(255, 255, 45, 0), dst); This is the
          // original
          // Code used to set max and min values for bgr scale in scalars VVV
          cvInRangeS(
              img,
              cvScalar(
                  (new Double(blueMinValueField.getText())).doubleValue(),
                  (new Double(greenMinValueField.getText())).doubleValue(),
                  (new Double(redMinValueField.getText())).doubleValue(),
                  0),
              cvScalar(
                  (new Double(blueMaxValueField.getText())).doubleValue(),
                  (new Double(greenMaxValueField.getText())).doubleValue(),
                  (new Double(redMaxValueField.getText())).doubleValue(),
                  0),
              dst);
          // NEED TO FLIP MAX IN MIN POSITION, MIN IS IN MAX POSITION

          // cvInRangeS(img, cvScalar(0, 0, 0, 0), cvScalar(255, 255, 255, 0), dst);
          // cvDilate( dst, dst, null, 1 );
          cvSmooth(dst, dst, CV_MEDIAN, 1, 1, 0, 0);
          // cvCanny(gray, dst, 50, 100, 3);
          // cvCvtColor(hsv, gray, CV_RGB2GRAY);
          // canvas.showImage(img);
          // before.showImage(dst);
          IplImage newDst =
              new IplImage(cvCloneImage(img)); // cvCreateImage(cvGetSize(img), img.depth(), 3));
          cvCvtColor(dst, newDst, CV_GRAY2BGR);
          // cvConvexHull2(newDst, null, CV_CLOCKWISE, 0);
          before.showImage(newDst);
          polyFind.setImage(newDst);
          ArrayList<PolygonStructure> polygons = new ArrayList<PolygonStructure>();
          int i;
          // before.showImage(newDst);
          for (i = 4; i < 5; i++) {
            for (PolygonStructure ps : polyFind.findPolygons(i)) {
              polygons.add(ps);
            }
          }
          for (int c = 0; c < polygons.size(); c++) {
            for (int d = 0; d < polygons.size(); d++) {
              if (c == d) {
                break;
              }
              if (polygons
                  .get(c)
                  .getPolygon()
                  .contains(polygons.get(d).getPolygon().getBounds2D())) {
                polygons.remove(d);
                if (d < c) {
                  c--;
                }
                d--;
              }
            }
          }
          for (int c = 0; c < polygons.size(); c++) {
            for (int d = 0; d < polygons.size(); d++) {
              if (c == d) {
                break;
              }
              if (polygons
                  .get(c)
                  .getPolygon()
                  .contains(
                      polygons.get(d).getPolygon().getBounds().getCenterX(),
                      polygons.get(d).getPolygon().getBounds().getCenterY())) {
                polygons.remove(d);
                if (d < c) {
                  c--;
                }
                d--;
              }
            }
          }
          //                    if
          // (tempPoly.getVertex(0).x()<vertices[0].x()&&tempPoly.getVertex(1).x()>vertices[0].x()
          //
          // &&tempPoly.getVertex(1).y()<vertices[0].y()&&tempPoly.getVertex(2).y()>vertices[0].y())
          //                    {
          //                        isInside = true;
          //                        break;
          //                    }
          for (i = 0; i < polygons.size(); i++) {
            if (polygons.size() < 2) {
              hotZone = false;
            } else {
              hotZone = true;
            }
            CvScalar polyColor = CvScalar.MAGENTA;
            switch (i) {
              case 0:
                {
                  polyColor = CvScalar.RED;
                  //                            System.out.println("Center X: "
                  //                                    + (320 - ((polygons.get(i).getVertex(3).x()
                  // + polygons.get(i).getVertex(2).x()) / 2))
                  //                                    + "\tCenter Y: "
                  //                                    + (240 - ((polygons.get(i).getVertex(3).y()
                  // + (polygons.get(i).getVertex(2).y())) / 2)));
                  double x =
                      (320
                          - ((polygons.get(i).getVertex(3).x() + polygons.get(i).getVertex(2).x())
                              / 2));
                  double angle =
                      (480
                          - ((polygons.get(i).getVertex(3).y() + (polygons.get(i).getVertex(2).y()))
                              / 2));
                  // double distance = 5182.2043151825 * Math.pow(angle, -1);

                  double distance = 514.7318 * Math.pow(angle - 220, -1.2);
                  // double distance;
                  if (angle < 317) {
                    distance = -0.370786516853933 * angle + 133.977528089888;
                  } else if (angle > 316 && angle < 325) {
                    distance = -0.184697808038669 * angle + 74.9375184489134;
                  } else if (angle > 324 && angle < 362) {
                    distance = -0.140145789191636 * angle + 60.5198480748917;
                  } else if (angle > 360) {
                    distance = -0.0702258215380136 * angle + 35.3150512441271;
                  }

                  for (int c = 0; c < 4; c++) {
                    System.out.println("Vertex " + c + ":" + polygons.get(i).getVertex(c).y());
                  }
                  yValue.setText("" + angle);

                  // hotZone = true;

                  break;
                }
              case 1:
                {
                  // Hot zone
                  polyColor = CvScalar.BLUE;
                  break;
                }
              case 2:
                {
                  polyColor = CvScalar.GREEN;
                  break;
                }
              case 3:
                {
                  polyColor = CvScalar.YELLOW;
                  break;
                }
            }
            // polygons.get(i).drawShape(img, polyColor);
            cvLine(
                displayImg,
                polygons.get(i).getVertices()[3],
                polygons.get(i).getVertices()[0],
                polyColor,
                3,
                CV_AA,
                0);
            cvLine(
                displayImg,
                polygons.get(i).getVertices()[0],
                polygons.get(i).getVertices()[1],
                polyColor,
                3,
                CV_AA,
                0);
            cvDrawCircle(displayImg, polygons.get(i).getVertices()[0], 3, CvScalar.GRAY, 1, 8, 0);
            cvLine(
                displayImg,
                polygons.get(i).getVertices()[1],
                polygons.get(i).getVertices()[2],
                polyColor,
                3,
                CV_AA,
                0);
            cvDrawCircle(
                displayImg, polygons.get(i).getVertices()[1], 3, CvScalar.MAGENTA, 1, 8, 0);
            cvLine(
                displayImg,
                polygons.get(i).getVertices()[2],
                polygons.get(i).getVertices()[3],
                polyColor,
                3,
                CV_AA,
                0);
            cvDrawCircle(displayImg, polygons.get(i).getVertices()[2], 3, CvScalar.BLACK, 1, 8, 0);
            cvDrawCircle(displayImg, polygons.get(i).getVertices()[3], 3, CvScalar.CYAN, 1, 8, 0);
            // System.out.println("Polygon " + i + "\t" + polygons.get(i).getVertices()[0]);
          }

          try {
            // NetworkTable.getTable("camera").beginTransaction();
            //                        NetworkTable.getTable("camera").putNumber("distance",
            // distance);
            //                        NetworkTable.getTable("camera").putNumber("x", x);
            NetworkTable.getTable("camera").putBoolean("hotZone", hotZone);
            // NetworkTable.getTable("camera").endTransaction();

          } catch (Exception e) {
          }

          if (displayImg != null) {
            // cvSaveImage("aftercapture.jpg", dst);
            cvDrawLine(
                displayImg, new CvPoint(300, 240), new CvPoint(340, 240), CvScalar.WHITE, 2, 8, 0);
            cvDrawLine(
                displayImg, new CvPoint(320, 220), new CvPoint(320, 260), CvScalar.WHITE, 2, 8, 0);
            canvas.showImage(displayImg);
          } else {
            // System.out.println("Null Image");
          }

          // cvReleaseImage(gray);
          cvReleaseImage(newDst);
          // cvReleaseImage(img);
          // cvReleaseImage(hsv);
          cvReleaseImage(displayImg);
          cvReleaseImage(dst);
          // Thread.sleep(50);
        }
        // System.out.println("5");
        // grabber.stop();
      } catch (Exception e) {
        e.printStackTrace();
      }
      grabber = new OpenCVFrameGrabber(source);
    }
  }
Example #2
0
  /** usage: java HoughLines imageDir\imageName TransformType */
  public static void main(String[] args) {

    String fileName =
        args.length >= 1 ? args[0] : "pic1.png"; // if no params provided, compute the defaut image
    IplImage src = cvLoadImage(fileName, 0);
    IplImage dst;
    IplImage colorDst;
    CvMemStorage storage = cvCreateMemStorage(0);
    CvSeq lines = new CvSeq();

    CanvasFrame source = new CanvasFrame("Source");
    CanvasFrame hough = new CanvasFrame("Hough");
    if (src == null) {
      System.out.println("Couldn't load source image.");
      return;
    }

    dst = cvCreateImage(cvGetSize(src), src.depth(), 1);
    colorDst = cvCreateImage(cvGetSize(src), src.depth(), 3);

    cvCanny(src, dst, 50, 200, 3);
    cvCvtColor(dst, colorDst, CV_GRAY2BGR);

    /*
     * apply the probabilistic hough transform
     * which returns for each line deteced two points ((x1, y1); (x2,y2))
     * defining the detected segment
     */
    if (args.length == 2 && args[1].contentEquals("probabilistic")) {
      System.out.println("Using the Probabilistic Hough Transform");
      lines = cvHoughLines2(dst, storage, CV_HOUGH_PROBABILISTIC, 1, Math.PI / 180, 40, 50, 10);
      for (int i = 0; i <= lines.total(); i++) {
        // from JavaCPP, the equivalent of the C code:
        // CvPoint* line = (CvPoint*)cvGetSeqElem(lines,i);
        // CvPoint first=line[0], second=line[1]
        // is:
        // CvPoint first=line.position(0), secon=line.position(1);

        Pointer line = cvGetSeqElem(lines, i);
        CvPoint pt1 = new CvPoint(line).position(0);
        CvPoint pt2 = new CvPoint(line).position(1);

        System.out.println("Line spotted: ");
        System.out.println("\t pt1: " + pt1);
        System.out.println("\t pt2: " + pt2);
        cvLine(colorDst, pt1, pt2, CV_RGB(255, 0, 0), 3, CV_AA, 0); // draw the segment on the image
      }
    }
    /*
     * Apply the multiscale hough transform which returns for each line two float parameters (rho, theta)
     * rho: distance from the origin of the image to the line
     * theta: angle between the x-axis and the normal line of the detected line
     */
    else if (args.length == 2 && args[1].contentEquals("multiscale")) {
      System.out.println("Using the multiscale Hough Transform"); //
      lines = cvHoughLines2(dst, storage, CV_HOUGH_MULTI_SCALE, 1, Math.PI / 180, 40, 1, 1);
      for (int i = 0; i < lines.total(); i++) {
        CvPoint2D32f point = new CvPoint2D32f(cvGetSeqElem(lines, i));

        float rho = point.x();
        float theta = point.y();

        double a = Math.cos((double) theta), b = Math.sin((double) theta);
        double x0 = a * rho, y0 = b * rho;
        CvPoint
            pt1 =
                new CvPoint((int) Math.round(x0 + 1000 * (-b)), (int) Math.round(y0 + 1000 * (a))),
            pt2 =
                new CvPoint((int) Math.round(x0 - 1000 * (-b)), (int) Math.round(y0 - 1000 * (a)));
        System.out.println("Line spoted: ");
        System.out.println("\t rho= " + rho);
        System.out.println("\t theta= " + theta);
        cvLine(colorDst, pt1, pt2, CV_RGB(255, 0, 0), 3, CV_AA, 0);
      }
    }
    /*
     * Default: apply the standard hough transform. Outputs: same as the multiscale output.
     */
    else {
      System.out.println("Using the Standard Hough Transform");
      lines = cvHoughLines2(dst, storage, CV_HOUGH_STANDARD, 1, Math.PI / 180, 90, 0, 0);
      for (int i = 0; i < lines.total(); i++) {
        CvPoint2D32f point = new CvPoint2D32f(cvGetSeqElem(lines, i));

        float rho = point.x();
        float theta = point.y();

        double a = Math.cos((double) theta), b = Math.sin((double) theta);
        double x0 = a * rho, y0 = b * rho;
        CvPoint
            pt1 =
                new CvPoint((int) Math.round(x0 + 1000 * (-b)), (int) Math.round(y0 + 1000 * (a))),
            pt2 =
                new CvPoint((int) Math.round(x0 - 1000 * (-b)), (int) Math.round(y0 - 1000 * (a)));
        System.out.println("Line spotted: ");
        System.out.println("\t rho= " + rho);
        System.out.println("\t theta= " + theta);
        cvLine(colorDst, pt1, pt2, CV_RGB(255, 0, 0), 3, CV_AA, 0);
      }
    }
    source.showImage(src);
    hough.showImage(colorDst);

    source.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
    hough.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
  }
Example #3
0
  public void generatePGMFromPic(String srcPath, String file, String destPath) throws Exception {

    String srcFilePath = srcPath + "/" + file;
    System.out.println("Loading image from " + srcFilePath);
    IplImage origImg = cvLoadImage(srcFilePath);

    // convert to grayscale
    IplImage grayImg = IplImage.create(origImg.width(), origImg.height(), IPL_DEPTH_8U, 1);
    cvCvtColor(origImg, grayImg, CV_BGR2GRAY);

    // scale the grayscale (to speed up face detection)
    IplImage smallImg =
        IplImage.create(grayImg.width() / SCALE, grayImg.height() / SCALE, IPL_DEPTH_8U, 1);
    cvResize(grayImg, smallImg, CV_INTER_LINEAR);

    // equalize the small grayscale
    IplImage equImg = IplImage.create(smallImg.width(), smallImg.height(), IPL_DEPTH_8U, 1);
    cvEqualizeHist(smallImg, equImg);

    CvMemStorage storage = CvMemStorage.create();

    CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(CASCADE_FILE));
    System.out.println("Detecting faces...");
    CvSeq faces = cvHaarDetectObjects(equImg, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);
    cvClearMemStorage(storage);
    int total = faces.total();
    System.out.println("Found " + total + " face(s)");
    for (int i = 0; i < total; i++) {
      CvRect r = new CvRect(cvGetSeqElem(faces, i));
      cvSetImageROI(
          origImg, cvRect(r.x() * SCALE, r.y() * SCALE, r.width() * SCALE, r.height() * SCALE));
      IplImage origface = cvCreateImage(cvSize(r.width() * SCALE, r.height() * SCALE), 8, 3);

      IplImage smallface = cvCreateImage(cvSize(120, 120), 8, 3);
      cvCopy(origImg, origface);
      cvResize(origface, smallface, CV_INTER_LINEAR);
      cvSaveImage(destPath + "/" + file + i + ".pgm", smallface);
      cvResetImageROI(origImg);
    }
  }