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 BRIEFDescriptorExtractorTest 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();
          extractor = createClassInstance(XFEATURES2D+"BriefDescriptorExtractor", DEFAULT_FACTORY, null, null);
          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, 96, 0, 76, 24, 47, 182, 68, 137,
                            149, 195, 67, 16, 187, 224, 74, 8,
                            82, 169, 87, 70, 44, 4, 192, 56,
                            13, 128, 44, 106, 146, 72, 194, 245);
              }
          };
  
          assertMatEqual(truth, descriptors);
      }
  
      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"); // BRIEF does not override empty() method
      }
  
      public void testRead() {
          String filename = OpenCVTestRunner.getTempFileName("yml");
          writeFile(filename, "%YAML:1.0\n---\ndescriptorSize: 64\n");
  
          extractor.read(filename);
  
          assertEquals(64, extractor.descriptorSize());
      }
  
      public void testWrite() {
          String filename = OpenCVTestRunner.getTempFileName("xml");
  
          extractor.write(filename);
  
          String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<descriptorSize>32</descriptorSize>\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---\ndescriptorSize: 32\n";
          assertEquals(truth, readFile(filename));
      }
  
  }
  