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      1 package org.opencv.test.features2d;
      2 
      3 import org.opencv.core.Core;
      4 import org.opencv.core.CvType;
      5 import org.opencv.core.Mat;
      6 import org.opencv.core.MatOfKeyPoint;
      7 import org.opencv.core.Point;
      8 import org.opencv.core.Scalar;
      9 import org.opencv.features2d.DescriptorExtractor;
     10 import org.opencv.core.KeyPoint;
     11 import org.opencv.test.OpenCVTestCase;
     12 import org.opencv.test.OpenCVTestRunner;
     13 import org.opencv.imgproc.Imgproc;
     14 
     15 public class SURFDescriptorExtractorTest extends OpenCVTestCase {
     16 
     17     DescriptorExtractor extractor;
     18     int matSize;
     19 
     20     private Mat getTestImg() {
     21         Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
     22         Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
     23         Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
     24 
     25         return cross;
     26     }
     27 
     28     @Override
     29     protected void setUp() throws Exception {
     30         super.setUp();
     31 
     32         extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
     33         String filename = OpenCVTestRunner.getTempFileName("yml");
     34         writeFile(filename, "%YAML:1.0\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0");
     35         extractor.read(filename);
     36 
     37         matSize = 100;
     38     }
     39 
     40     public void testComputeListOfMatListOfListOfKeyPointListOfMat() {
     41         fail("Not yet implemented");
     42     }
     43 
     44     public void testComputeMatListOfKeyPointMat() {
     45         KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
     46         MatOfKeyPoint keypoints = new MatOfKeyPoint(point);
     47         Mat img = getTestImg();
     48         Mat descriptors = new Mat();
     49 
     50         extractor.compute(img, keypoints, descriptors);
     51 
     52         Mat truth = new Mat(1, 128, CvType.CV_32FC1) {
     53             {
     54                 put(0, 0,
     55                           0, 0, 0, 0, 0, 0, 0, 0, 0.058821894, 0.058821894, -0.045962855, 0.046261817, 0.0085156476,
     56                           0.0085754395, -0.0064509804, 0.0064509804, 0.00044069235, 0.00044069235, 0, 0, 0.00025723741,
     57                           0.00025723741, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.00025723741, 0.00025723741, -0.00044069235,
     58                           0.00044069235, 0, 0, 0.36278215, 0.36278215, -0.24688604, 0.26173124, 0.052068226, 0.052662034,
     59                           -0.032815345, 0.032815345, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.0064523756,
     60                           0.0064523756, 0.0082002236, 0.0088908644, -0.059001274, 0.059001274, 0.045789491, 0.04648013,
     61                           0.11961588, 0.22789426, -0.01322381, 0.18291828, -0.14042182, 0.23973691, 0.073782086, 0.23769434,
     62                           -0.027880307, 0.027880307, 0.049587864, 0.049587864, -0.33991757, 0.33991757, 0.21437603, 0.21437603,
     63                           -0.0020763327, 0.0020763327, 0.006245892, 0.006245892, -0.04067041, 0.04067041, 0.019361559,
     64                           0.019361559, 0, 0, -0.0035977389, 0.0035977389, 0, 0, -0.00099993451, 0.00099993451, 0.040670406,
     65                           0.040670406, -0.019361559, 0.019361559, 0.006245892, 0.006245892, -0.0020763327, 0.0020763327,
     66                           -0.00034532088, 0.00034532088, 0, 0, 0, 0, 0.00034532088, 0.00034532088, -0.00099993451,
     67                           0.00099993451, 0, 0, 0, 0, 0.0035977389, 0.0035977389
     68                     );
     69             }
     70         };
     71 
     72         assertMatEqual(truth, descriptors, EPS);
     73     }
     74 
     75     public void testCreate() {
     76         assertNotNull(extractor);
     77     }
     78 
     79     public void testDescriptorSize() {
     80         assertEquals(128, extractor.descriptorSize());
     81     }
     82 
     83     public void testDescriptorType() {
     84         assertEquals(CvType.CV_32F, extractor.descriptorType());
     85     }
     86 
     87     public void testEmpty() {
     88         assertFalse(extractor.empty());
     89     }
     90 
     91     public void testRead() {
     92         String filename = OpenCVTestRunner.getTempFileName("yml");
     93         writeFile(filename, "%YAML:1.0\nnOctaves: 4\nnOctaveLayers: 2\nextended: 1\nupright: 0\n");
     94 
     95         extractor.read(filename);
     96 
     97         assertEquals(128, extractor.descriptorSize());
     98     }
     99 
    100     public void testWrite() {
    101         String filename = OpenCVTestRunner.getTempFileName("xml");
    102 
    103         extractor.write(filename);
    104 
    105         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";
    106         assertEquals(truth, readFile(filename));
    107     }
    108 
    109     public void testWriteYml() {
    110         String filename = OpenCVTestRunner.getTempFileName("yml");
    111 
    112         extractor.write(filename);
    113 
    114         String truth = "%YAML:1.0\nname: \"Feature2D.SURF\"\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0\n";
    115         assertEquals(truth, readFile(filename));
    116     }
    117 
    118 }
    119