content: package org.opencv.test.features2d;
  
  import java.util.Arrays;
  
  import org.opencv.core.CvType;
  import org.opencv.core.Mat;
  import org.opencv.core.MatOfKeyPoint;
  import org.opencv.core.Point;
  import org.opencv.core.Scalar;
  import org.opencv.core.KeyPoint;
  import org.opencv.test.OpenCVTestCase;
  import org.opencv.test.OpenCVTestRunner;
  import org.opencv.imgproc.Imgproc;
  import org.opencv.features2d.Feature2D;
  
  public class STARFeatureDetectorTest extends OpenCVTestCase {
  
      Feature2D detector;
      int matSize;
      KeyPoint[] truth;
  
      private Mat getMaskImg() {
          Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
          Mat right = mask.submat(0, matSize, matSize / 2, matSize);
          right.setTo(new Scalar(0));
          return mask;
      }
  
      private Mat getTestImg() {
          Scalar color = new Scalar(0);
          int center = matSize / 2;
          int radius = 6;
          int offset = 40;
  
          Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
          Imgproc.circle(img, new Point(center - offset, center), radius, color, -1);
          Imgproc.circle(img, new Point(center + offset, center), radius, color, -1);
          Imgproc.circle(img, new Point(center, center - offset), radius, color, -1);
          Imgproc.circle(img, new Point(center, center + offset), radius, color, -1);
          Imgproc.circle(img, new Point(center, center), radius, color, -1);
          return img;
      }
  
      protected void setUp() throws Exception {
          super.setUp();
          detector = createClassInstance(XFEATURES2D+"StarDetector", DEFAULT_FACTORY, null, null);
          matSize = 200;
          truth = new KeyPoint[] {
                  new KeyPoint( 95,  80, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint(105,  80, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint( 80,  95, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint(120,  95, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint(100, 100,  8, -1, 30.f,     0, -1),
                  new KeyPoint( 80, 105, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint(120, 105, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint( 95, 120, 22, -1, 31.5957f, 0, -1),
                  new KeyPoint(105, 120, 22, -1, 31.5957f, 0, -1)
              };
      }
  
      public void testCreate() {
          assertNotNull(detector);
      }
  
      public void testDetectListOfMatListOfListOfKeyPoint() {
          fail("Not yet implemented");
      }
  
      public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
          fail("Not yet implemented");
      }
  
      public void testDetectMatListOfKeyPoint() {
          Mat img = getTestImg();
          MatOfKeyPoint keypoints = new MatOfKeyPoint();
  
          detector.detect(img, keypoints);
  
          assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS);
      }
  
      public void testDetectMatListOfKeyPointMat() {
          Mat img = getTestImg();
          Mat mask = getMaskImg();
          MatOfKeyPoint keypoints = new MatOfKeyPoint();
  
          detector.detect(img, keypoints, mask);
  
          assertListKeyPointEquals(Arrays.asList(truth[0], truth[2], truth[5], truth[7]), keypoints.toList(), EPS);
      }
  
      public void testEmpty() {
  //        assertFalse(detector.empty());
          fail("Not yet implemented");
      }
  
      public void testRead() {
          Mat img = getTestImg();
  
          MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
          detector.detect(img, keypoints1);
  
          String filename = OpenCVTestRunner.getTempFileName("yml");
          writeFile(filename, "%YAML:1.0\n---\nmaxSize: 45\nresponseThreshold: 150\nlineThresholdProjected: 10\nlineThresholdBinarized: 8\nsuppressNonmaxSize: 5\n");
          detector.read(filename);
  
          MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
          detector.detect(img, keypoints2);
  
          assertTrue(keypoints2.total() <= keypoints1.total());
      }
  
      public void testWrite() {
          String filename = OpenCVTestRunner.getTempFileName("xml");
  
          detector.write(filename);
  
  //        String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.STAR</name>\n<lineThresholdBinarized>8</lineThresholdBinarized>\n<lineThresholdProjected>10</lineThresholdProjected>\n<maxSize>45</maxSize>\n<responseThreshold>30</responseThreshold>\n<suppressNonmaxSize>5</suppressNonmaxSize>\n</opencv_storage>\n";
          String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n</opencv_storage>\n";
          assertEquals(truth, readFile(filename));
      }
  
      public void testWriteYml() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
  
          detector.write(filename);
  
  //        String truth = "%YAML:1.0\n---\nname: \"Feature2D.STAR\"\nlineThresholdBinarized: 8\nlineThresholdProjected: 10\nmaxSize: 45\nresponseThreshold: 30\nsuppressNonmaxSize: 5\n";
          String truth = "%YAML:1.0\n---\n";
          assertEquals(truth, readFile(filename));
      }
  
  }
  