package org.opencv.test.features2d; import java.util.Arrays; 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.FeatureDetector; import org.opencv.core.KeyPoint; import org.opencv.test.OpenCVTestCase; import org.opencv.test.OpenCVTestRunner; import org.opencv.imgproc.Imgproc; public class FASTFeatureDetectorTest extends OpenCVTestCase { FeatureDetector detector; KeyPoint[] truth; private Mat getMaskImg() { Mat mask = new Mat(100, 100, CvType.CV_8U, new Scalar(255)); Mat right = mask.submat(0, 100, 50, 100); right.setTo(new Scalar(0)); return mask; } private Mat getTestImg() { Mat img = new Mat(100, 100, CvType.CV_8U, new Scalar(255)); Imgproc.line(img, new Point(30, 30), new Point(70, 70), new Scalar(0), 8); return img; } @Override protected void setUp() throws Exception { super.setUp(); detector = FeatureDetector.create(FeatureDetector.FAST); truth = new KeyPoint[] { new KeyPoint(32, 27, 7, -1, 254, 0, -1), new KeyPoint(27, 32, 7, -1, 254, 0, -1), new KeyPoint(73, 68, 7, -1, 254, 0, -1), new KeyPoint(68, 73, 7, -1, 254, 0, -1) }; } public void testCreate() { assertNotNull(detector); } public void testDetectListOfMatListOfListOfKeyPoint() { fail("Not yet implemented"); } public void testDetectListOfMatListOfListOfKeyPointListOfMat() { fail("Not yet implemented"); } public void testDetectMatListOfKeyPoint() { Mat img = getTestImg(); MatOfKeyPoint keypoints = new MatOfKeyPoint(); detector.detect(img, keypoints); assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS); // OpenCVTestRunner.Log("points found: " + keypoints.size()); // for (KeyPoint kp : keypoints) // OpenCVTestRunner.Log(kp.toString()); } public void testDetectMatListOfKeyPointMat() { Mat img = getTestImg(); Mat mask = getMaskImg(); MatOfKeyPoint keypoints = new MatOfKeyPoint(); detector.detect(img, keypoints, mask); assertListKeyPointEquals(Arrays.asList(truth[0], truth[1]), keypoints.toList(), EPS); } public void testEmpty() { // assertFalse(detector.empty()); fail("Not yet implemented"); //FAST does not override empty() method } public void testRead() { String filename = OpenCVTestRunner.getTempFileName("yml"); writeFile(filename, "%YAML:1.0\n---\nthreshold: 130\nnonmaxSuppression: 1\n"); detector.read(filename); MatOfKeyPoint keypoints1 = new MatOfKeyPoint(); detector.detect(grayChess, keypoints1); writeFile(filename, "%YAML:1.0\n---\nthreshold: 150\nnonmaxSuppression: 1\n"); detector.read(filename); MatOfKeyPoint keypoints2 = new MatOfKeyPoint(); detector.detect(grayChess, keypoints2); assertTrue(keypoints2.total() <= keypoints1.total()); } public void testReadYml() { String filename = OpenCVTestRunner.getTempFileName("yml"); writeFile(filename, "\n\n130\n1\n\n"); detector.read(filename); MatOfKeyPoint keypoints1 = new MatOfKeyPoint(); detector.detect(grayChess, keypoints1); writeFile(filename, "\n\n150\n1\n\n"); detector.read(filename); MatOfKeyPoint keypoints2 = new MatOfKeyPoint(); detector.detect(grayChess, keypoints2); assertTrue(keypoints2.total() <= keypoints1.total()); } public void testWrite() { String filename = OpenCVTestRunner.getTempFileName("xml"); detector.write(filename); // String truth = "\n\nFeature2D.FAST\n1\n10\n2\n\n"; String truth = "\n\n\n"; String data = readFile(filename); //Log.d("qqq", "\"" + data + "\""); assertEquals(truth, data); } public void testWriteYml() { String filename = OpenCVTestRunner.getTempFileName("yml"); detector.write(filename); // String truth = "%YAML:1.0\n---\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\ntype: 2\n"; String truth = "%YAML:1.0\n---\n"; String data = readFile(filename); //Log.d("qqq", "\"" + data + "\""); assertEquals(truth, data); } }