content: package org.opencv.test.features2d;
  
  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 SURFDescriptorExtractorTest extends OpenCVTestCase {
  
      Feature2D extractor;
      int matSize;
  
      private Mat getTestImg() {
          Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
          Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
          Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
  
          return cross;
      }
  
      @Override
      protected void setUp() throws Exception {
          super.setUp();
  
          Class[] cParams = {double.class, int.class, int.class, boolean.class, boolean.class};
          Object[] oValues = {100, 2, 4, true, false};
          extractor = createClassInstance(XFEATURES2D+"SURF", DEFAULT_FACTORY, cParams, oValues);
  
          matSize = 100;
      }
  
      public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
          fail("Not yet implemented");
      }
  
      public void testComputeMatListOfKeyPointMat() {
          KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
          MatOfKeyPoint keypoints = new MatOfKeyPoint(point);
          Mat img = getTestImg();
          Mat descriptors = new Mat();
  
          extractor.compute(img, keypoints, descriptors);
  
          Mat truth = new Mat(1, 128, CvType.CV_32FC1) {
              {
                  put(0, 0,
                            0, 0, 0, 0, 0, 0, 0, 0, 0.058821894, 0.058821894, -0.045962855, 0.046261817, 0.0085156476,
                            0.0085754395, -0.0064509804, 0.0064509804, 0.00044069235, 0.00044069235, 0, 0, 0.00025723741,
                            0.00025723741, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.00025723741, 0.00025723741, -0.00044069235,
                            0.00044069235, 0, 0, 0.36278215, 0.36278215, -0.24688604, 0.26173124, 0.052068226, 0.052662034,
                            -0.032815345, 0.032815345, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.0064523756,
                            0.0064523756, 0.0082002236, 0.0088908644, -0.059001274, 0.059001274, 0.045789491, 0.04648013,
                            0.11961588, 0.22789426, -0.01322381, 0.18291828, -0.14042182, 0.23973691, 0.073782086, 0.23769434,
                            -0.027880307, 0.027880307, 0.049587864, 0.049587864, -0.33991757, 0.33991757, 0.21437603, 0.21437603,
                            -0.0020763327, 0.0020763327, 0.006245892, 0.006245892, -0.04067041, 0.04067041, 0.019361559,
                            0.019361559, 0, 0, -0.0035977389, 0.0035977389, 0, 0, -0.00099993451, 0.00099993451, 0.040670406,
                            0.040670406, -0.019361559, 0.019361559, 0.006245892, 0.006245892, -0.0020763327, 0.0020763327,
                            -0.00034532088, 0.00034532088, 0, 0, 0, 0, 0.00034532088, 0.00034532088, -0.00099993451,
                            0.00099993451, 0, 0, 0, 0, 0.0035977389, 0.0035977389
                      );
              }
          };
  
          assertMatEqual(truth, descriptors, EPS);
      }
  
      public void testCreate() {
          assertNotNull(extractor);
      }
  
      public void testDescriptorSize() {
          assertEquals(128, extractor.descriptorSize());
      }
  
      public void testDescriptorType() {
          assertEquals(CvType.CV_32F, extractor.descriptorType());
      }
  
      public void testEmpty() {
  //        assertFalse(extractor.empty());
          fail("Not yet implemented");
      }
  
      public void testRead() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
          writeFile(filename, "%YAML:1.0\n---\nnOctaves: 4\nnOctaveLayers: 2\nextended: 1\nupright: 0\n");
  
          extractor.read(filename);
  
          assertEquals(128, extractor.descriptorSize());
      }
  
      public void testWrite() {
          String filename = OpenCVTestRunner.getTempFileName("xml");
  
          extractor.write(filename);
  
  //        String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.SURF</name>\n<extended>1</extended>\n<hessianThreshold>100.</hessianThreshold>\n<nOctaveLayers>2</nOctaveLayers>\n<nOctaves>4</nOctaves>\n<upright>0</upright>\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");
  
          extractor.write(filename);
  
  //        String truth = "%YAML:1.0\n---\nname: \"Feature2D.SURF\"\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0\n";
          String truth = "%YAML:1.0\n---\n";
          assertEquals(truth, readFile(filename));
      }
  
  }
  