content: package org.opencv.test.features2d;
  
  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.core.KeyPoint;
  import org.opencv.features2d.ORB;
  import org.opencv.test.OpenCVTestCase;
  import org.opencv.test.OpenCVTestRunner;
  import org.opencv.imgproc.Imgproc;
  
  public class ORBDescriptorExtractorTest extends OpenCVTestCase {
  
      ORB extractor;
      int matSize;
  
      public static void assertDescriptorsClose(Mat expected, Mat actual, int allowedDistance) {
          double distance = Core.norm(expected, actual, Core.NORM_HAMMING);
          assertTrue("expected:<" + allowedDistance + "> but was:<" + distance + ">", distance <= allowedDistance);
      }
  
      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();
          extractor = ORB.create();
          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, 32, CvType.CV_8UC1) {
              {
                  put(0, 0,
                          6, 74, 6, 129, 2, 130, 56, 0, 44, 132, 66, 165, 172, 6, 3, 72, 102, 61, 171, 214, 0, 144, 65, 232, 4, 32, 138, 131, 4, 21, 37, 217);
              }
          };
          assertDescriptorsClose(truth, descriptors, 1);
      }
  
      public void testCreate() {
          assertNotNull(extractor);
      }
  
      public void testDescriptorSize() {
          assertEquals(32, extractor.descriptorSize());
      }
  
      public void testDescriptorType() {
          assertEquals(CvType.CV_8U, extractor.descriptorType());
      }
  
      public void testEmpty() {
  //        assertFalse(extractor.empty());
          fail("Not yet implemented"); // ORB does not override empty() method
      }
  
      public void testRead() {
          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();
  
  //        String filename = OpenCVTestRunner.getTempFileName("yml");
  //        writeFile(filename, "%YAML:1.0\n---\nscaleFactor: 1.1\nnLevels: 3\nfirstLevel: 0\nedgeThreshold: 31\npatchSize: 31\n");
  //        extractor.read(filename);
          extractor = ORB.create(500, 1.1f, 3, 31, 0, 2, ORB.HARRIS_SCORE, 31, 20);
  
          extractor.compute(img, keypoints, descriptors);
  
          Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
              {
                  put(0, 0,
                          6, 10, 22, 5, 2, 130, 56, 0, 44, 164, 66, 165, 140, 6, 1, 72, 38, 61, 163, 210, 0, 208, 1, 104, 4, 32, 74, 131, 0, 37, 37, 67);
              }
          };
          assertDescriptorsClose(truth, descriptors, 1);
      }
  
      public void testWrite() {
          String filename = OpenCVTestRunner.getTempFileName("xml");
  
          extractor.write(filename);
  
  //        String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.ORB</name>\n<WTA_K>2</WTA_K>\n<edgeThreshold>31</edgeThreshold>\n<firstLevel>0</firstLevel>\n<nFeatures>500</nFeatures>\n<nLevels>8</nLevels>\n<patchSize>31</patchSize>\n<scaleFactor>1.2000000476837158e+00</scaleFactor>\n<scoreType>0</scoreType>\n</opencv_storage>\n";
          String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n</opencv_storage>\n";
          String actual = readFile(filename);
          actual = actual.replaceAll("e\\+000", "e+00"); // NOTE: workaround for different platforms double representation
          assertEquals(truth, actual);
      }
  
      public void testWriteYml() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
  
          extractor.write(filename);
  
  //        String truth = "%YAML:1.0\n---\nname: \"Feature2D.ORB\"\nWTA_K: 2\nedgeThreshold: 31\nfirstLevel: 0\nnFeatures: 500\nnLevels: 8\npatchSize: 31\nscaleFactor: 1.2000000476837158e+00\nscoreType: 0\n";
          String truth = "%YAML:1.0\n---\n";
          String actual = readFile(filename);
          actual = actual.replaceAll("e\\+000", "e+00"); // NOTE: workaround for different platforms double representation
          assertEquals(truth, actual);
      }
  
  }
  