133 lines
4.8 KiB
Java
133 lines
4.8 KiB
Java
package org.opencv.test.features2d;
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import java.util.Arrays;
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import org.opencv.core.CvType;
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import org.opencv.core.Mat;
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import org.opencv.core.MatOfKeyPoint;
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import org.opencv.core.Point;
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import org.opencv.core.Scalar;
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import org.opencv.core.KeyPoint;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import org.opencv.imgproc.Imgproc;
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import org.opencv.features2d.Feature2D;
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public class STARFeatureDetectorTest extends OpenCVTestCase {
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Feature2D detector;
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int matSize;
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KeyPoint[] truth;
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private Mat getMaskImg() {
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Mat mask = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Mat right = mask.submat(0, matSize, matSize / 2, matSize);
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right.setTo(new Scalar(0));
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return mask;
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}
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private Mat getTestImg() {
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Scalar color = new Scalar(0);
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int center = matSize / 2;
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int radius = 6;
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int offset = 40;
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Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Imgproc.circle(img, new Point(center - offset, center), radius, color, -1);
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Imgproc.circle(img, new Point(center + offset, center), radius, color, -1);
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Imgproc.circle(img, new Point(center, center - offset), radius, color, -1);
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Imgproc.circle(img, new Point(center, center + offset), radius, color, -1);
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Imgproc.circle(img, new Point(center, center), radius, color, -1);
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return img;
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}
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protected void setUp() throws Exception {
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super.setUp();
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detector = createClassInstance(XFEATURES2D+"StarDetector", DEFAULT_FACTORY, null, null);
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matSize = 200;
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truth = new KeyPoint[] {
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new KeyPoint( 95, 80, 22, -1, 31.5957f, 0, -1),
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new KeyPoint(105, 80, 22, -1, 31.5957f, 0, -1),
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new KeyPoint( 80, 95, 22, -1, 31.5957f, 0, -1),
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new KeyPoint(120, 95, 22, -1, 31.5957f, 0, -1),
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new KeyPoint(100, 100, 8, -1, 30.f, 0, -1),
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new KeyPoint( 80, 105, 22, -1, 31.5957f, 0, -1),
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new KeyPoint(120, 105, 22, -1, 31.5957f, 0, -1),
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new KeyPoint( 95, 120, 22, -1, 31.5957f, 0, -1),
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new KeyPoint(105, 120, 22, -1, 31.5957f, 0, -1)
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};
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}
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public void testCreate() {
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assertNotNull(detector);
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}
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public void testDetectListOfMatListOfListOfKeyPoint() {
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fail("Not yet implemented");
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}
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public void testDetectListOfMatListOfListOfKeyPointListOfMat() {
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fail("Not yet implemented");
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}
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public void testDetectMatListOfKeyPoint() {
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Mat img = getTestImg();
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
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detector.detect(img, keypoints);
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assertListKeyPointEquals(Arrays.asList(truth), keypoints.toList(), EPS);
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}
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public void testDetectMatListOfKeyPointMat() {
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Mat img = getTestImg();
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Mat mask = getMaskImg();
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
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detector.detect(img, keypoints, mask);
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assertListKeyPointEquals(Arrays.asList(truth[0], truth[2], truth[5], truth[7]), keypoints.toList(), EPS);
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}
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public void testEmpty() {
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// assertFalse(detector.empty());
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fail("Not yet implemented");
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}
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public void testRead() {
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Mat img = getTestImg();
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MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
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detector.detect(img, keypoints1);
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String filename = OpenCVTestRunner.getTempFileName("yml");
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writeFile(filename, "%YAML:1.0\n---\nmaxSize: 45\nresponseThreshold: 150\nlineThresholdProjected: 10\nlineThresholdBinarized: 8\nsuppressNonmaxSize: 5\n");
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detector.read(filename);
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MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
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detector.detect(img, keypoints2);
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assertTrue(keypoints2.total() <= keypoints1.total());
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}
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public void testWrite() {
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String filename = OpenCVTestRunner.getTempFileName("xml");
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detector.write(filename);
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// String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n<name>Feature2D.STAR</name>\n<lineThresholdBinarized>8</lineThresholdBinarized>\n<lineThresholdProjected>10</lineThresholdProjected>\n<maxSize>45</maxSize>\n<responseThreshold>30</responseThreshold>\n<suppressNonmaxSize>5</suppressNonmaxSize>\n</opencv_storage>\n";
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String truth = "<?xml version=\"1.0\"?>\n<opencv_storage>\n</opencv_storage>\n";
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assertEquals(truth, readFile(filename));
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}
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public void testWriteYml() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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detector.write(filename);
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// String truth = "%YAML:1.0\n---\nname: \"Feature2D.STAR\"\nlineThresholdBinarized: 8\nlineThresholdProjected: 10\nmaxSize: 45\nresponseThreshold: 30\nsuppressNonmaxSize: 5\n";
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String truth = "%YAML:1.0\n---\n";
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assertEquals(truth, readFile(filename));
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}
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}
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