content: package org.opencv.test.features2d;
  
  import java.util.Arrays;
  
  import org.opencv.core.Core;
  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.features2d.Feature2D;
  import org.opencv.features2d.FastFeatureDetector;
  import org.opencv.core.KeyPoint;
  import org.opencv.test.OpenCVTestCase;
  import org.opencv.test.OpenCVTestRunner;
  import org.opencv.imgproc.Imgproc;
  
  public class FASTFeatureDetectorTest extends OpenCVTestCase {
  
      Feature2D detector;
      KeyPoint[] truth;
  
      private Mat getMaskImg() {
          Mat mask = new Mat(100, 100, CvType.CV_8U, new Scalar(255));
          Mat right = mask.submat(0, 100, 50, 100);
          right.setTo(new Scalar(0));
          return mask;
      }
  
      private Mat getTestImg() {
          Mat img = new Mat(100, 100, CvType.CV_8U, new Scalar(255));
          Imgproc.line(img, new Point(30, 30), new Point(70, 70), new Scalar(0), 8);
          return img;
      }
  
      @Override
      protected void setUp() throws Exception {
          super.setUp();
          detector = FastFeatureDetector.create();
          truth = new KeyPoint[] { new KeyPoint(32, 27, 7, -1, 254, 0, -1), new KeyPoint(27, 32, 7, -1, 254, 0, -1), new KeyPoint(73, 68, 7, -1, 254, 0, -1),
                  new KeyPoint(68, 73, 7, -1, 254, 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);
  
          // OpenCVTestRunner.Log("points found: " + keypoints.size());
          // for (KeyPoint kp : keypoints)
          // OpenCVTestRunner.Log(kp.toString());
      }
  
      public void testDetectMatListOfKeyPointMat() {
          Mat img = getTestImg();
          Mat mask = getMaskImg();
          MatOfKeyPoint keypoints = new MatOfKeyPoint();
  
          detector.detect(img, keypoints, mask);
  
          assertListKeyPointEquals(Arrays.asList(truth[0], truth[1]), keypoints.toList(), EPS);
      }
  
      public void testEmpty() {
  //        assertFalse(detector.empty());
          fail("Not yet implemented"); //FAST does not override empty() method
      }
  
      public void testRead() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
  
          writeFile(filename, "%YAML:1.0\n---\nthreshold: 130\nnonmaxSuppression: 1\n");
          detector.read(filename);
  
          MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
  
          detector.detect(grayChess, keypoints1);
  
          writeFile(filename, "%YAML:1.0\n---\nthreshold: 150\nnonmaxSuppression: 1\n");
          detector.read(filename);
  
          MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
  
          detector.detect(grayChess, keypoints2);
  
          assertTrue(keypoints2.total() <= keypoints1.total());
      }
  
      public void testReadYml() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
  
          writeFile(filename,
                  "<?xml version=\"1.0\"?>\n<opencv_storage>\n<threshold>130</threshold>\n<nonmaxSuppression>1</nonmaxSuppression>\n</opencv_storage>\n");
          detector.read(filename);
  
          MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
  
          detector.detect(grayChess, keypoints1);
  
          writeFile(filename,
                  "<?xml version=\"1.0\"?>\n<opencv_storage>\n<threshold>150</threshold>\n<nonmaxSuppression>1</nonmaxSuppression>\n</opencv_storage>\n");
          detector.read(filename);
  
          MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
  
          detector.detect(grayChess, 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.FAST</name>\n<nonmaxSuppression>1</nonmaxSuppression>\n<threshold>10</threshold>\n<type>2</type>\n</opencv_storage>\n";
          String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n</opencv_storage>\n";
          String data = readFile(filename);
          //Log.d("qqq", "\"" + data + "\"");
          assertEquals(truth, data);
      }
  
      public void testWriteYml() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
  
          detector.write(filename);
  
  //        String truth = "%YAML:1.0\n---\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\ntype: 2\n";
          String truth = "%YAML:1.0\n---\n";
          String data = readFile(filename);
  
          //Log.d("qqq", "\"" + data + "\"");
          assertEquals(truth, data);
      }
  }
  