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.features2d.DescriptorExtractor; import org.opencv.core.KeyPoint; import org.opencv.test.OpenCVTestCase; import org.opencv.test.OpenCVTestRunner; import org.opencv.imgproc.Imgproc; public class SURFDescriptorExtractorTest extends OpenCVTestCase { DescriptorExtractor 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 = DescriptorExtractor.create(DescriptorExtractor.SURF); String filename = OpenCVTestRunner.getTempFileName("yml"); writeFile(filename, "%YAML:1.0\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0"); extractor.read(filename); 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, 128, CvType.CV_32FC1) { { put(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.058821894, 0.058821894, -0.045962855, 0.046261817, 0.0085156476, 0.0085754395, -0.0064509804, 0.0064509804, 0.00044069235, 0.00044069235, 0, 0, 0.00025723741, 0.00025723741, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.00025723741, 0.00025723741, -0.00044069235, 0.00044069235, 0, 0, 0.36278215, 0.36278215, -0.24688604, 0.26173124, 0.052068226, 0.052662034, -0.032815345, 0.032815345, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.0064523756, 0.0064523756, 0.0082002236, 0.0088908644, -0.059001274, 0.059001274, 0.045789491, 0.04648013, 0.11961588, 0.22789426, -0.01322381, 0.18291828, -0.14042182, 0.23973691, 0.073782086, 0.23769434, -0.027880307, 0.027880307, 0.049587864, 0.049587864, -0.33991757, 0.33991757, 0.21437603, 0.21437603, -0.0020763327, 0.0020763327, 0.006245892, 0.006245892, -0.04067041, 0.04067041, 0.019361559, 0.019361559, 0, 0, -0.0035977389, 0.0035977389, 0, 0, -0.00099993451, 0.00099993451, 0.040670406, 0.040670406, -0.019361559, 0.019361559, 0.006245892, 0.006245892, -0.0020763327, 0.0020763327, -0.00034532088, 0.00034532088, 0, 0, 0, 0, 0.00034532088, 0.00034532088, -0.00099993451, 0.00099993451, 0, 0, 0, 0, 0.0035977389, 0.0035977389 ); } }; assertMatEqual(truth, descriptors, EPS); } public void testCreate() { assertNotNull(extractor); } public void testDescriptorSize() { assertEquals(128, extractor.descriptorSize()); } public void testDescriptorType() { assertEquals(CvType.CV_32F, extractor.descriptorType()); } public void testEmpty() { assertFalse(extractor.empty()); } public void testRead() { String filename = OpenCVTestRunner.getTempFileName("yml"); writeFile(filename, "%YAML:1.0\nnOctaves: 4\nnOctaveLayers: 2\nextended: 1\nupright: 0\n"); extractor.read(filename); assertEquals(128, extractor.descriptorSize()); } public void testWrite() { String filename = OpenCVTestRunner.getTempFileName("xml"); extractor.write(filename); String truth = "\n\nFeature2D.SURF\n1\n100.\n2\n4\n0\n\n"; assertEquals(truth, readFile(filename)); } public void testWriteYml() { String filename = OpenCVTestRunner.getTempFileName("yml"); extractor.write(filename); String truth = "%YAML:1.0\nname: \"Feature2D.SURF\"\nextended: 1\nhessianThreshold: 100.\nnOctaveLayers: 2\nnOctaves: 4\nupright: 0\n"; assertEquals(truth, readFile(filename)); } }