147 lines
4.6 KiB
Java
147 lines
4.6 KiB
Java
package org.opencv.test.features2d;
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import java.util.Arrays;
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import org.opencv.core.Core;
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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.features2d.FeatureDetector;
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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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public class FASTFeatureDetectorTest extends OpenCVTestCase {
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FeatureDetector detector;
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KeyPoint[] truth;
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private Mat getMaskImg() {
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Mat mask = new Mat(100, 100, CvType.CV_8U, new Scalar(255));
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Mat right = mask.submat(0, 100, 50, 100);
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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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Mat img = new Mat(100, 100, CvType.CV_8U, new Scalar(255));
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Imgproc.line(img, new Point(30, 30), new Point(70, 70), new Scalar(0), 8);
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return img;
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}
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@Override
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protected void setUp() throws Exception {
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super.setUp();
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detector = FeatureDetector.create(FeatureDetector.FAST);
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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),
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new KeyPoint(68, 73, 7, -1, 254, 0, -1) };
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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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// OpenCVTestRunner.Log("points found: " + keypoints.size());
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// for (KeyPoint kp : keypoints)
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// OpenCVTestRunner.Log(kp.toString());
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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[1]), 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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}
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public void testRead() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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writeFile(filename, "%YAML:1.0\nthreshold: 130\nnonmaxSuppression: 1\n");
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detector.read(filename);
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MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
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detector.detect(grayChess, keypoints1);
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writeFile(filename, "%YAML:1.0\nthreshold: 150\nnonmaxSuppression: 1\n");
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detector.read(filename);
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MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
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detector.detect(grayChess, keypoints2);
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assertTrue(keypoints2.total() <= keypoints1.total());
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}
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public void testReadYml() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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writeFile(filename,
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"<?xml version=\"1.0\"?>\n<opencv_storage>\n<threshold>130</threshold>\n<nonmaxSuppression>1</nonmaxSuppression>\n</opencv_storage>\n");
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detector.read(filename);
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MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
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detector.detect(grayChess, keypoints1);
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writeFile(filename,
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"<?xml version=\"1.0\"?>\n<opencv_storage>\n<threshold>150</threshold>\n<nonmaxSuppression>1</nonmaxSuppression>\n</opencv_storage>\n");
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detector.read(filename);
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MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
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detector.detect(grayChess, 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.FAST</name>\n<nonmaxSuppression>1</nonmaxSuppression>\n<threshold>10</threshold>\n<type>2</type>\n</opencv_storage>\n";
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String data = readFile(filename);
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//Log.d("qqq", "\"" + data + "\"");
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assertEquals(truth, data);
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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\nname: \"Feature2D.FAST\"\nnonmaxSuppression: 1\nthreshold: 10\ntype: 2\n";
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String data = readFile(filename);
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//Log.d("qqq", "\"" + data + "\"");
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assertEquals(truth, data);
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}
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}
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