content: import org.opencv.core.Core;
  import org.opencv.core.CvType;
  import org.opencv.core.Mat;
  import org.opencv.core.Point;
  import org.opencv.core.Scalar;
  import org.opencv.core.TermCriteria;
  import org.opencv.highgui.HighGui;
  import org.opencv.imgcodecs.Imgcodecs;
  import org.opencv.imgproc.Imgproc;
  import org.opencv.ml.Ml;
  import org.opencv.ml.SVM;
  
  public class IntroductionToSVMDemo {
      public static void main(String[] args) {
          // Load the native OpenCV library
          System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
  
          // Set up training data
          //! [setup1]
          int[] labels = { 1, -1, -1, -1 };
          float[] trainingData = { 501, 10, 255, 10, 501, 255, 10, 501 };
          //! [setup1]
          //! [setup2]
          Mat trainingDataMat = new Mat(4, 2, CvType.CV_32FC1);
          trainingDataMat.put(0, 0, trainingData);
          Mat labelsMat = new Mat(4, 1, CvType.CV_32SC1);
          labelsMat.put(0, 0, labels);
          //! [setup2]
  
          // Train the SVM
          //! [init]
          SVM svm = SVM.create();
          svm.setType(SVM.C_SVC);
          svm.setKernel(SVM.LINEAR);
          svm.setTermCriteria(new TermCriteria(TermCriteria.MAX_ITER, 100, 1e-6));
          //! [init]
          //! [train]
          svm.train(trainingDataMat, Ml.ROW_SAMPLE, labelsMat);
          //! [train]
  
          // Data for visual representation
          int width = 512, height = 512;
          Mat image = Mat.zeros(height, width, CvType.CV_8UC3);
  
          // Show the decision regions given by the SVM
          //! [show]
          byte[] imageData = new byte[(int) (image.total() * image.channels())];
          Mat sampleMat = new Mat(1, 2, CvType.CV_32F);
          float[] sampleMatData = new float[(int) (sampleMat.total() * sampleMat.channels())];
          for (int i = 0; i < image.rows(); i++) {
              for (int j = 0; j < image.cols(); j++) {
                  sampleMatData[0] = j;
                  sampleMatData[1] = i;
                  sampleMat.put(0, 0, sampleMatData);
                  float response = svm.predict(sampleMat);
  
                  if (response == 1) {
                      imageData[(i * image.cols() + j) * image.channels()] = 0;
                      imageData[(i * image.cols() + j) * image.channels() + 1] = (byte) 255;
                      imageData[(i * image.cols() + j) * image.channels() + 2] = 0;
                  } else if (response == -1) {
                      imageData[(i * image.cols() + j) * image.channels()] = (byte) 255;
                      imageData[(i * image.cols() + j) * image.channels() + 1] = 0;
                      imageData[(i * image.cols() + j) * image.channels() + 2] = 0;
                  }
              }
          }
          image.put(0, 0, imageData);
          //! [show]
  
          // Show the training data
          //! [show_data]
          int thickness = -1;
          int lineType = Imgproc.LINE_8;
          Imgproc.circle(image, new Point(501, 10), 5, new Scalar(0, 0, 0), thickness, lineType, 0);
          Imgproc.circle(image, new Point(255, 10), 5, new Scalar(255, 255, 255), thickness, lineType, 0);
          Imgproc.circle(image, new Point(501, 255), 5, new Scalar(255, 255, 255), thickness, lineType, 0);
          Imgproc.circle(image, new Point(10, 501), 5, new Scalar(255, 255, 255), thickness, lineType, 0);
          //! [show_data]
  
          // Show support vectors
          //! [show_vectors]
          thickness = 2;
          Mat sv = svm.getUncompressedSupportVectors();
          float[] svData = new float[(int) (sv.total() * sv.channels())];
          sv.get(0, 0, svData);
          for (int i = 0; i < sv.rows(); ++i) {
              Imgproc.circle(image, new Point(svData[i * sv.cols()], svData[i * sv.cols() + 1]), 6,
                      new Scalar(128, 128, 128), thickness, lineType, 0);
          }
          //! [show_vectors]
  
          Imgcodecs.imwrite("result.png", image); // save the image
  
          HighGui.imshow("SVM Simple Example", image); // show it to the user
          HighGui.waitKey();
          System.exit(0);
      }
  }
  