vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

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Gitea Mirror Bot
2026-08-22 00:11:13 +08:00
commit 12022378a3
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package org.opencv.test.features;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import org.opencv.xfeatures2d.HarrisLaplaceFeatureDetector;
public class HARRISFeatureDetectorTest extends OpenCVTestCase {
HarrisLaplaceFeatureDetector detector;
@Override
protected void setUp() throws Exception {
super.setUp();
detector = HarrisLaplaceFeatureDetector.create(); // default constructor have (6, 0.01, 0.01, 5000, 4)
}
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.HARRIS-LAPLACE\"\nnumOctaves: 5\ncorn_thresh: 0.02\nDOG_thresh: 0.03\nmaxCorners: 4000\nnum_layers: 2\n");
detector.read(filename);
assertEquals(5, detector.getNumOctaves());
assertEquals(0.02f, detector.getCornThresh());
assertEquals(0.03f, detector.getDOGThresh());
assertEquals(4000, detector.getMaxCorners());
assertEquals(2, detector.getNumLayers());
}
public void testWriteYml() {
String filename = OpenCVTestRunner.getTempFileName("yml");
detector.write(filename);
String truth = "%YAML:1.0\n---\nname: \"Feature2D.HARRIS-LAPLACE\"\nnumOctaves: 6\ncorn_thresh: 9.9999997764825821e-03\nDOG_thresh: 9.9999997764825821e-03\nmaxCorners: 5000\nnum_layers: 4\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);
}
}