282 lines
8.3 KiB
Java
282 lines
8.3 KiB
Java
package org.opencv.test.features2d;
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import java.util.Arrays;
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import java.util.List;
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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.MatOfDMatch;
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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.DMatch;
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import org.opencv.features2d.DescriptorExtractor;
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import org.opencv.features2d.DescriptorMatcher;
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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 BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
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DescriptorMatcher matcher;
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int matSize;
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DMatch[] truth;
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private Mat getMaskImg() {
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return new Mat(5, 2, CvType.CV_8U, new Scalar(0)) {
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{
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put(0, 0, 1, 1, 1, 1);
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}
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};
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}
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/*
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private float sqr(float val){
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return val * val;
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}
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*/
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private Mat getQueryDescriptors() {
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Mat img = getQueryImg();
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
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Mat descriptors = new Mat();
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FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
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DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
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String filename = OpenCVTestRunner.getTempFileName("yml");
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writeFile(filename, "%YAML:1.0\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n");
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detector.read(filename);
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detector.detect(img, keypoints);
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extractor.compute(img, keypoints, descriptors);
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return descriptors;
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}
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private Mat getQueryImg() {
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Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Imgproc.line(cross, new Point(30, matSize / 2), new Point(matSize - 31, matSize / 2), new Scalar(100), 3);
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Imgproc.line(cross, new Point(matSize / 2, 30), new Point(matSize / 2, matSize - 31), new Scalar(100), 3);
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return cross;
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}
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private Mat getTrainDescriptors() {
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Mat img = getTrainImg();
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MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
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Mat descriptors = new Mat();
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DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
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extractor.compute(img, keypoints, descriptors);
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return descriptors;
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}
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private Mat getTrainImg() {
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Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
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Imgproc.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
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Imgproc.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
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return cross;
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}
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protected void setUp() throws Exception {
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super.setUp();
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matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_SL2);
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matSize = 100;
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truth = new DMatch[] {
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new DMatch(0, 0, 0, 0.3858146f),
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new DMatch(1, 1, 0, 0.8421953f),
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new DMatch(2, 1, 0, 0.0968556f),
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new DMatch(3, 1, 0, 0.0855606f),
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new DMatch(4, 1, 0, 0.8666080f)
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};
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}
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public void testAdd() {
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matcher.add(Arrays.asList(new Mat()));
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assertFalse(matcher.empty());
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}
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public void testClear() {
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matcher.add(Arrays.asList(new Mat()));
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matcher.clear();
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assertTrue(matcher.empty());
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}
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public void testClone() {
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Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
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Mat truth = train.clone();
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matcher.add(Arrays.asList(train));
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DescriptorMatcher cloned = matcher.clone();
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assertNotNull(cloned);
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List<Mat> descriptors = cloned.getTrainDescriptors();
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assertEquals(1, descriptors.size());
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assertMatEqual(truth, descriptors.get(0));
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}
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public void testCloneBoolean() {
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matcher.add(Arrays.asList(new Mat()));
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DescriptorMatcher cloned = matcher.clone(true);
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assertNotNull(cloned);
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assertTrue(cloned.empty());
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}
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public void testCreate() {
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assertNotNull(matcher);
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}
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public void testEmpty() {
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assertTrue(matcher.empty());
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}
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public void testGetTrainDescriptors() {
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Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
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Mat truth = train.clone();
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matcher.add(Arrays.asList(train));
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List<Mat> descriptors = matcher.getTrainDescriptors();
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assertEquals(1, descriptors.size());
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assertMatEqual(truth, descriptors.get(0));
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}
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public void testIsMaskSupported() {
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assertTrue(matcher.isMaskSupported());
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}
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public void testKnnMatchMatListOfListOfDMatchInt() {
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fail("Not yet implemented");
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}
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public void testKnnMatchMatListOfListOfDMatchIntListOfMat() {
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fail("Not yet implemented");
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}
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public void testKnnMatchMatListOfListOfDMatchIntListOfMatBoolean() {
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fail("Not yet implemented");
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}
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public void testKnnMatchMatMatListOfListOfDMatchInt() {
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fail("Not yet implemented");
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}
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public void testKnnMatchMatMatListOfListOfDMatchIntMat() {
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fail("Not yet implemented");
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}
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public void testKnnMatchMatMatListOfListOfDMatchIntMatBoolean() {
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fail("Not yet implemented");
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}
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public void testMatchMatListOfDMatch() {
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Mat train = getTrainDescriptors();
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Mat query = getQueryDescriptors();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.add(Arrays.asList(train));
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matcher.match(query, matches);
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OpenCVTestRunner.Log(matches);
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OpenCVTestRunner.Log(matches);
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OpenCVTestRunner.Log(matches);
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assertArrayDMatchEquals(truth, matches.toArray(), EPS);
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}
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public void testMatchMatListOfDMatchListOfMat() {
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Mat train = getTrainDescriptors();
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Mat query = getQueryDescriptors();
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Mat mask = getMaskImg();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.add(Arrays.asList(train));
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matcher.match(query, matches, Arrays.asList(mask));
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assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS);
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}
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public void testMatchMatMatListOfDMatch() {
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Mat train = getTrainDescriptors();
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Mat query = getQueryDescriptors();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.match(query, train, matches);
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assertArrayDMatchEquals(truth, matches.toArray(), EPS);
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// OpenCVTestRunner.Log("matches found: " + matches.size());
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// for (DMatch m : matches)
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// OpenCVTestRunner.Log(m.toString());
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}
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public void testMatchMatMatListOfDMatchMat() {
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Mat train = getTrainDescriptors();
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Mat query = getQueryDescriptors();
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Mat mask = getMaskImg();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.match(query, train, matches, mask);
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assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS);
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}
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public void testRadiusMatchMatListOfListOfDMatchFloat() {
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fail("Not yet implemented");
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}
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public void testRadiusMatchMatListOfListOfDMatchFloatListOfMat() {
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fail("Not yet implemented");
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}
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public void testRadiusMatchMatListOfListOfDMatchFloatListOfMatBoolean() {
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fail("Not yet implemented");
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}
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public void testRadiusMatchMatMatListOfListOfDMatchFloat() {
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fail("Not yet implemented");
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}
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public void testRadiusMatchMatMatListOfListOfDMatchFloatMat() {
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fail("Not yet implemented");
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}
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public void testRadiusMatchMatMatListOfListOfDMatchFloatMatBoolean() {
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fail("Not yet implemented");
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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\n");
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matcher.read(filename);
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assertTrue(true);// BruteforceMatcher has no settings
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}
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public void testTrain() {
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matcher.train();// BruteforceMatcher does not need to train
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}
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public void testWrite() {
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String filename = OpenCVTestRunner.getTempFileName("yml");
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matcher.write(filename);
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String truth = "%YAML:1.0\n";
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assertEquals(truth, readFile(filename));
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}
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}
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