Example #1
0
  private double match_eye(Rect area, Mat mTemplate, int type) {
    Point matchLoc;
    Mat mROI = mGray.submat(area);
    int result_cols = mGray.cols() - mTemplate.cols() + 1;
    int result_rows = mGray.rows() - mTemplate.rows() + 1;
    if (mTemplate.cols() == 0 || mTemplate.rows() == 0) {
      return 0.0;
    }
    mResult = new Mat(result_cols, result_rows, CvType.CV_32FC1);

    switch (type) {
      case TM_SQDIFF:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_SQDIFF);
        break;
      case TM_SQDIFF_NORMED:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_SQDIFF_NORMED);
        break;
      case TM_CCOEFF:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCOEFF);
        break;
      case TM_CCOEFF_NORMED:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCOEFF_NORMED);
        break;
      case TM_CCORR:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCORR);
        break;
      case TM_CCORR_NORMED:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCORR_NORMED);
        break;
    }

    Core.MinMaxLocResult mmres = Core.minMaxLoc(mResult);

    if (type == TM_SQDIFF || type == TM_SQDIFF_NORMED) {
      matchLoc = mmres.minLoc;
    } else {
      matchLoc = mmres.maxLoc;
    }

    Point matchLoc_tx = new Point(matchLoc.x + area.x, matchLoc.y + area.y);
    Point matchLoc_ty =
        new Point(matchLoc.x + mTemplate.cols() + area.x, matchLoc.y + mTemplate.rows() + area.y);

    Core.rectangle(mRgba, matchLoc_tx, matchLoc_ty, new Scalar(255, 255, 0, 255));

    if (type == TM_SQDIFF || type == TM_SQDIFF_NORMED) {
      return mmres.maxVal;
    } else {
      return mmres.minVal;
    }
  }
  /**
   * @param source
   * @param delta
   * @return Mat
   */
  public static Mat Sobel(Mat source, int delta) {

    Mat grey = new Mat();
    Imgproc.cvtColor(source, grey, Imgproc.COLOR_BGR2GRAY);
    Mat sobelx = new Mat();
    Imgproc.Sobel(grey, sobelx, CvType.CV_32F, 1, delta);

    double minVal, maxVal;
    Core.MinMaxLocResult minMaxLocResult = Core.minMaxLoc(sobelx);
    minVal = minMaxLocResult.minVal;
    maxVal = minMaxLocResult.maxVal;

    Mat draw = new Mat();
    sobelx.convertTo(
        draw, CvType.CV_8U, 255.0 / (maxVal - minVal), -minVal * 255.0 / (maxVal - minVal));
    return draw;
  }
Example #3
0
  private Mat get_template(CascadeClassifier clasificator, Rect area, int size) {
    Mat template = new Mat();
    Mat mROI = mGray.submat(area);
    MatOfRect eyes = new MatOfRect();
    Point iris = new Point();
    Rect eye_template = new Rect();
    clasificator.detectMultiScale(
        mROI,
        eyes,
        1.15,
        2,
        Objdetect.CASCADE_FIND_BIGGEST_OBJECT | Objdetect.CASCADE_SCALE_IMAGE,
        new Size(30, 30),
        new Size());

    Rect[] eyesArray = eyes.toArray();
    for (int i = 0; i < eyesArray.length; ) {
      Rect e = eyesArray[i];
      e.x = area.x + e.x;
      e.y = area.y + e.y;
      Rect eye_only_rectangle =
          new Rect(
              (int) e.tl().x,
              (int) (e.tl().y + e.height * 0.4),
              (int) e.width,
              (int) (e.height * 0.6));
      mROI = mGray.submat(eye_only_rectangle);
      Mat vyrez = mRgba.submat(eye_only_rectangle);

      Core.MinMaxLocResult mmG = Core.minMaxLoc(mROI);

      Imgproc.circle(vyrez, mmG.minLoc, 2, new Scalar(255, 255, 255, 255), 2);
      iris.x = mmG.minLoc.x + eye_only_rectangle.x;
      iris.y = mmG.minLoc.y + eye_only_rectangle.y;
      eye_template = new Rect((int) iris.x - size / 2, (int) iris.y - size / 2, size, size);
      Imgproc.rectangle(mRgba, eye_template.tl(), eye_template.br(), new Scalar(255, 0, 0, 255), 2);
      template = (mGray.submat(eye_template)).clone();
      return template;
    }
    return template;
  }
  public void templateMatching() {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    int match_method = 5;
    int max_Trackbar = 5;
    Mat data = Highgui.imread("images/training_data/1" + "/data (" + 1 + ").jpg");
    Mat temp = Highgui.imread("images/template.jpg");
    Mat img = data.clone();

    int result_cols = img.cols() - temp.cols() + 1;
    int result_rows = img.rows() - temp.rows() + 1;
    Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);

    Imgproc.matchTemplate(img, temp, result, match_method);
    Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());

    double minVal;
    double maxVal;
    Point minLoc;
    Point maxLoc;
    Point matchLoc;
    // minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
    Core.MinMaxLocResult res = Core.minMaxLoc(result);

    if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
      matchLoc = res.minLoc;
    } else {
      matchLoc = res.maxLoc;
    }

    // / Show me what you got
    Core.rectangle(
        img,
        matchLoc,
        new Point(matchLoc.x + temp.cols(), matchLoc.y + temp.rows()),
        new Scalar(0, 255, 0));

    // Save the visualized detection.
    Highgui.imwrite("images/samp.jpg", img);
  }
Example #5
0
  private void match_eye(Rect area, Mat mTemplate, int type) {
    Point matchLoc;
    Mat mROI = mGray.submat(area);
    int result_cols = mROI.cols() - mTemplate.cols() + 1;
    int result_rows = mROI.rows() - mTemplate.rows() + 1;
    // Check for bad template size
    if (mTemplate.cols() == 0 || mTemplate.rows() == 0) {
      return;
    }
    Mat mResult = new Mat(result_cols, result_rows, CvType.CV_8U);
    long nbPixels = (mResult.rows() * mResult.cols()) - getBlackPixels(mResult);
    if (Math.abs(nbPixels) < 2000) {
      final MediaPlayer mp = new MediaPlayer();
      try {
        mp.reset();
        AssetFileDescriptor afd;
        afd = getAssets().openFd("wakeUp.mp3");
        mp.setDataSource(afd.getFileDescriptor(), afd.getStartOffset(), afd.getLength());
        mp.prepare();
        mp.start();
        Thread.sleep(60000);
      } catch (IllegalStateException e) {
        e.printStackTrace();
      } catch (IOException e) {
        e.printStackTrace();
      } catch (InterruptedException e) {
        e.printStackTrace();
      }

      Log.i("You are sleeping", "YOU SLEPT");
    } else Log.i("M_match_eye: else ", "nbPixels = " + nbPixels);

    switch (type) {
      case TM_SQDIFF:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_SQDIFF);
        break;
      case TM_SQDIFF_NORMED:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_SQDIFF_NORMED);
        break;
      case TM_CCOEFF:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCOEFF);
        break;
      case TM_CCOEFF_NORMED:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCOEFF_NORMED);
        break;
      case TM_CCORR:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCORR);
        break;
      case TM_CCORR_NORMED:
        Imgproc.matchTemplate(mROI, mTemplate, mResult, Imgproc.TM_CCORR_NORMED);
        break;
    }

    Core.MinMaxLocResult mmres = Core.minMaxLoc(mResult);
    // there is difference in matching methods - best match is max/min value
    if (type == TM_SQDIFF || type == TM_SQDIFF_NORMED) {
      matchLoc = mmres.minLoc;
    } else {
      matchLoc = mmres.maxLoc;
    }

    Point matchLoc_tx = new Point(matchLoc.x + area.x, matchLoc.y + area.y);
    Point matchLoc_ty =
        new Point(matchLoc.x + mTemplate.cols() + area.x, matchLoc.y + mTemplate.rows() + area.y);

    Imgproc.rectangle(mRgba, matchLoc_tx, matchLoc_ty, new Scalar(255, 255, 0, 255));
    Rect rec = new Rect(matchLoc_tx, matchLoc_ty);
  }