package org.opencv.test.features2d; import org.opencv.test.OpenCVTestCase; import org.opencv.test.OpenCVTestRunner; import org.opencv.features2d.KAZE; public class KAZEDescriptorExtractorTest extends OpenCVTestCase { KAZE extractor; @Override protected void setUp() throws Exception { super.setUp(); extractor = KAZE.create(); // default (false,false,0.001f,4,4,1) } public void testCreate() { assertNotNull(extractor); } public void testDetectListOfMatListOfListOfKeyPoint() { fail("Not yet implemented"); } public void testDetectListOfMatListOfListOfKeyPointListOfMat() { fail("Not yet implemented"); } public void testDetectMatListOfKeyPoint() { fail("Not yet implemented"); } public void testDetectMatListOfKeyPointMat() { fail("Not yet implemented"); } public void testEmpty() { fail("Not yet implemented"); } public void testReadYml() { String filename = OpenCVTestRunner.getTempFileName("yml"); writeFile(filename, "%YAML:1.0\n---\nformat: 3\nname: \"Feature2D.KAZE\"\nextended: 1\nupright: 1\nthreshold: 0.125\noctaves: 3\nsublevels: 5\ndiffusivity: 2\n"); extractor.read(filename); assertEquals(true, extractor.getExtended()); assertEquals(true, extractor.getUpright()); assertEquals(0.125, extractor.getThreshold()); assertEquals(3, extractor.getNOctaves()); assertEquals(5, extractor.getNOctaveLayers()); assertEquals(2, extractor.getDiffusivity()); } public void testWriteYml() { String filename = OpenCVTestRunner.getTempFileName("yml"); extractor.write(filename); String truth = "%YAML:1.0\n---\nformat: 3\nname: \"Feature2D.KAZE\"\nextended: 0\nupright: 0\nthreshold: 1.0000000474974513e-03\noctaves: 4\nsublevels: 4\ndiffusivity: 1\n"; String actual = readFile(filename); actual = actual.replaceAll("e([+-])0(\\d\\d)", "e$1$2"); // NOTE: workaround for different platforms double representation assertEquals(truth, actual); } }