modules/java/android_test/src/org/opencv/test/features2d/SURFDescriptorExtractorTest.java

   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 }