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79 lines
2.1 KiB
Java
79 lines
2.1 KiB
Java
package org.opencv.test.features2d;
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import org.junit.Assert;
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import org.opencv.core.CvType;
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import org.opencv.core.KeyPoint;
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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.Scalar;
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import org.opencv.features2d.Features2d;
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import org.opencv.features2d.ORB;
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import org.opencv.test.OpenCVTestCase;
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public class ORBFeatureDetectorTest extends OpenCVTestCase {
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public void testCreate() {
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fail("Not yet implemented");
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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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fail("Not yet implemented");
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}
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public void testDetectMatListOfKeyPointMat() {
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fail("Not yet implemented");
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}
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public void testEmpty() {
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fail("Not yet implemented");
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}
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public void testRead() {
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fail("Not yet implemented");
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}
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public void testWrite() {
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fail("Not yet implemented");
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}
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public void testDetectTwoPoints() {
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Mat img = new Mat(256,256, CvType.CV_8UC3, new Scalar(0,0,0));
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img.put(35, 40, 255,255, 255);
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img.put(152, 98, 200,0, 0);
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
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ORB orb = ORB.create();
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Mat descriptors = new Mat();
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orb.detectAndCompute(img, new Mat(), keypoints, descriptors);
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KeyPoint[] keypointsArray = keypoints.toArray();
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assertEquals(2, keypointsArray.length);
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long x1 = Math.round(keypointsArray[0].pt.x);
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long y1 = Math.round(keypointsArray[0].pt.y);
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long x2 = Math.round(keypointsArray[1].pt.x);
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long y2 = Math.round(keypointsArray[1].pt.y);
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if (x2 > x1) {
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assertEquals(40, x1);
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assertEquals(35, y1);
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assertEquals(98, x2);
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assertEquals(152, y2);
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} else {
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assertEquals(40, x2);
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assertEquals(35, y2);
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assertEquals(98, x1);
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assertEquals(152, y1);
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}
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}
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}
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