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 SIFTDescriptorExtractorTest extends OpenCVTestCase { 16 17 DescriptorExtractor extractor; 18 KeyPoint keypoint; 19 int matSize; 20 Mat truth; 21 22 private Mat getTestImg() { 23 Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255)); 24 Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2); 25 Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2); 26 27 return cross; 28 } 29 30 @Override 31 protected void setUp() throws Exception { 32 super.setUp(); 33 extractor = DescriptorExtractor.create(DescriptorExtractor.SIFT); 34 keypoint = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1); 35 matSize = 100; 36 truth = new Mat(1, 128, CvType.CV_32FC1) { 37 { 38 put(0, 0, 39 0, 0, 0, 1, 3, 0, 0, 0, 15, 23, 22, 20, 24, 2, 0, 0, 7, 8, 2, 0, 40 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27, 16, 13, 2, 0, 0, 117, 41 86, 79, 68, 117, 42, 5, 5, 79, 60, 117, 25, 9, 2, 28, 19, 11, 13, 42 20, 2, 0, 0, 5, 8, 0, 0, 76, 58, 34, 31, 97, 16, 95, 49, 117, 92, 43 117, 112, 117, 76, 117, 54, 117, 25, 29, 22, 117, 117, 16, 11, 14, 44 1, 0, 0, 22, 26, 0, 0, 0, 0, 1, 4, 15, 2, 47, 8, 0, 0, 82, 56, 31, 45 17, 81, 12, 0, 0, 26, 23, 18, 23, 0, 0, 0, 0, 0, 0, 0, 0 46 ); 47 } 48 }; 49 } 50 51 public void testComputeListOfMatListOfListOfKeyPointListOfMat() { 52 fail("Not yet implemented"); 53 } 54 55 public void testComputeMatListOfKeyPointMat() { 56 MatOfKeyPoint keypoints = new MatOfKeyPoint(keypoint); 57 Mat img = getTestImg(); 58 Mat descriptors = new Mat(); 59 60 extractor.compute(img, keypoints, descriptors); 61 62 assertMatEqual(truth, descriptors, EPS); 63 } 64 65 public void testCreate() { 66 assertNotNull(extractor); 67 } 68 69 public void testDescriptorSize() { 70 assertEquals(128, extractor.descriptorSize()); 71 } 72 73 public void testDescriptorType() { 74 assertEquals(CvType.CV_32F, extractor.descriptorType()); 75 } 76 77 public void testEmpty() { 78 assertFalse(extractor.empty()); 79 } 80 81 public void testRead() { 82 fail("Not yet implemented"); 83 } 84 85 public void testWrite() { 86 String filename = OpenCVTestRunner.getTempFileName("xml"); 87 88 extractor.write(filename); 89 90 String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.SIFT</name>\n<contrastThreshold>4.0000000000000001e-02</contrastThreshold>\n<edgeThreshold>10.</edgeThreshold>\n<nFeatures>0</nFeatures>\n<nOctaveLayers>3</nOctaveLayers>\n<sigma>1.6000000000000001e+00</sigma>\n</opencv_storage>\n"; 91 String actual = readFile(filename); 92 actual = actual.replaceAll("e([+-])0(\\d\\d)", "e$1$2"); // NOTE: workaround for different platforms double representation 93 assertEquals(truth, actual); 94 } 95 96 public void testWriteYml() { 97 String filename = OpenCVTestRunner.getTempFileName("yml"); 98 99 extractor.write(filename); 100 101 String truth = "%YAML:1.0\nname: \"Feature2D.SIFT\"\ncontrastThreshold: 4.0000000000000001e-02\nedgeThreshold: 10.\nnFeatures: 0\nnOctaveLayers: 3\nsigma: 1.6000000000000001e+00\n"; 102 String actual = readFile(filename); 103 actual = actual.replaceAll("e([+-])0(\\d\\d)", "e$1$2"); // NOTE: workaround for different platforms double representation 104 assertEquals(truth, actual); 105 } 106 107 } 108
