package org.opencv.test.features2d; import org.opencv.test.OpenCVTestCase; import org.opencv.test.OpenCVTestRunner; import org.opencv.features2d.GFTTDetector; public class GFTTFeatureDetectorTest extends OpenCVTestCase { GFTTDetector detector; @Override protected void setUp() throws Exception { super.setUp(); detector = GFTTDetector.create(); // default constructor have (1000, 0.01, 1, 3, 3, false, 0.04) } public void testCreate() { assertNotNull(detector); } 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---\nname: \"Feature2D.GFTTDetector\"\nnfeatures: 500\nqualityLevel: 2.0000000000000000e-02\nminDistance: 2.\nblockSize: 4\ngradSize: 5\nuseHarrisDetector: 1\nk: 5.0000000000000000e-02\n"); detector.read(filename); assertEquals(500, detector.getMaxFeatures()); assertEquals(0.02, detector.getQualityLevel()); assertEquals(2.0, detector.getMinDistance()); assertEquals(4, detector.getBlockSize()); assertEquals(5, detector.getGradientSize()); assertEquals(true, detector.getHarrisDetector()); assertEquals(0.05, detector.getK()); } public void testWriteYml() { String filename = OpenCVTestRunner.getTempFileName("yml"); detector.write(filename); String truth = "%YAML:1.0\n---\nname: \"Feature2D.GFTTDetector\"\nnfeatures: 1000\nqualityLevel: 1.0000000000000000e-02\nminDistance: 1.\nblockSize: 3\ngradSize: 3\nuseHarrisDetector: 0\nk: 4.0000000000000001e-02\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); } }