root/modules/features2d/misc/java/test/BruteForceHammingLUTDescriptorMatcherTest.java

DEFINITIONS

1. getMaskImg
2. getQueryDescriptors
3. getQueryImg
4. getTestDescriptors
5. getTrainDescriptors
6. getTrainImg
7. setUp
8. testAdd
9. testClear
10. testClone
11. testCloneBoolean
12. testCreate
13. testEmpty
14. testGetTrainDescriptors
15. testIsMaskSupported
16. testKnnMatchMatListOfListOfDMatchInt
17. testKnnMatchMatListOfListOfDMatchIntListOfMat
18. testKnnMatchMatListOfListOfDMatchIntListOfMatBoolean
19. testKnnMatchMatMatListOfListOfDMatchInt
20. testKnnMatchMatMatListOfListOfDMatchIntMat
21. testKnnMatchMatMatListOfListOfDMatchIntMatBoolean
22. testMatchMatListOfDMatch
23. testMatchMatListOfDMatchListOfMat
24. testMatchMatMatListOfDMatch
25. testMatchMatMatListOfDMatchMat
26. testRadiusMatchMatListOfListOfDMatchFloat
27. testRadiusMatchMatListOfListOfDMatchFloatListOfMat
28. testRadiusMatchMatListOfListOfDMatchFloatListOfMatBoolean
29. testRadiusMatchMatMatListOfListOfDMatchFloat
30. testRadiusMatchMatMatListOfListOfDMatchFloatMat
31. testRadiusMatchMatMatListOfListOfDMatchFloatMatBoolean
32. testRead
33. testTrain
34. testWrite

package org.opencv.test.features2d;

import java.util.Arrays;
import java.util.List;

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDMatch;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import org.opencv.imgproc.Imgproc;

public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {

    DescriptorMatcher matcher;
    int matSize;
    DMatch[] truth;

    private Mat getMaskImg() {
        return new Mat(4, 4, CvType.CV_8U, new Scalar(0)) {
            {
                put(0, 0, 1, 1, 1, 1, 1, 1, 1, 1);
            }
        };
    }

    private Mat getQueryDescriptors() {
        return getTestDescriptors(getQueryImg());
    }

    private Mat getQueryImg() {
        Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
        Imgproc.line(img, new Point(40, matSize - 40), new Point(matSize - 50, 50), new Scalar(0), 8);
        return img;
    }

    private Mat getTestDescriptors(Mat img) {
        MatOfKeyPoint keypoints = new MatOfKeyPoint();
        Mat descriptors = new Mat();

        FeatureDetector detector = FeatureDetector.create(FeatureDetector.FAST);
        DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.BRIEF);

        detector.detect(img, keypoints);
        extractor.compute(img, keypoints, descriptors);

        return descriptors;
    }

    private Mat getTrainDescriptors() {
        return getTestDescriptors(getTrainImg());
    }

    private Mat getTrainImg() {
        Mat img = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
        Imgproc.line(img, new Point(40, 40), new Point(matSize - 40, matSize - 40), new Scalar(0), 8);
        return img;
    }

    protected void setUp() throws Exception {
        super.setUp();
        matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMINGLUT);
        matSize = 100;

        truth = new DMatch[] {
                new DMatch(0, 0, 0, 51),
                new DMatch(1, 2, 0, 42),
                new DMatch(2, 1, 0, 40),
                new DMatch(3, 3, 0, 53) };
    }

    public void testAdd() {
        matcher.add(Arrays.asList(new Mat()));
        assertFalse(matcher.empty());
    }

    public void testClear() {
        matcher.add(Arrays.asList(new Mat()));

        matcher.clear();

        assertTrue(matcher.empty());
    }

    public void testClone() {
        Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
        Mat truth = train.clone();
        matcher.add(Arrays.asList(train));

        DescriptorMatcher cloned = matcher.clone();

        assertNotNull(cloned);

        List<Mat> descriptors = cloned.getTrainDescriptors();
        assertEquals(1, descriptors.size());
        assertMatEqual(truth, descriptors.get(0));
    }

    public void testCloneBoolean() {
        matcher.add(Arrays.asList(new Mat()));

        DescriptorMatcher cloned = matcher.clone(true);

        assertNotNull(cloned);
        assertTrue(cloned.empty());
    }

    public void testCreate() {
        assertNotNull(matcher);
    }

    public void testEmpty() {
        assertTrue(matcher.empty());
    }

    public void testGetTrainDescriptors() {
        Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
        Mat truth = train.clone();
        matcher.add(Arrays.asList(train));

        List<Mat> descriptors = matcher.getTrainDescriptors();

        assertEquals(1, descriptors.size());
        assertMatEqual(truth, descriptors.get(0));
    }

    public void testIsMaskSupported() {
        assertTrue(matcher.isMaskSupported());
    }

    public void testKnnMatchMatListOfListOfDMatchInt() {
        fail("Not yet implemented");
    }

    public void testKnnMatchMatListOfListOfDMatchIntListOfMat() {
        fail("Not yet implemented");
    }

    public void testKnnMatchMatListOfListOfDMatchIntListOfMatBoolean() {
        fail("Not yet implemented");
    }

    public void testKnnMatchMatMatListOfListOfDMatchInt() {
        fail("Not yet implemented");
    }

    public void testKnnMatchMatMatListOfListOfDMatchIntMat() {
        fail("Not yet implemented");
    }

    public void testKnnMatchMatMatListOfListOfDMatchIntMatBoolean() {
        fail("Not yet implemented");
    }

    public void testMatchMatListOfDMatch() {
        Mat train = getTrainDescriptors();
        Mat query = getQueryDescriptors();
        MatOfDMatch matches = new MatOfDMatch();
        matcher.add(Arrays.asList(train));

        matcher.match(query, matches);

        assertArrayDMatchEquals(truth, matches.toArray(), EPS);
    }

    public void testMatchMatListOfDMatchListOfMat() {
        Mat train = getTrainDescriptors();
        Mat query = getQueryDescriptors();
        Mat mask = getMaskImg();
        MatOfDMatch matches = new MatOfDMatch();
        matcher.add(Arrays.asList(train));

        matcher.match(query, matches, Arrays.asList(mask));

        assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS);
    }

    public void testMatchMatMatListOfDMatch() {
        Mat train = getTrainDescriptors();
        Mat query = getQueryDescriptors();
        MatOfDMatch matches = new MatOfDMatch();

        matcher.match(query, train, matches);

        /*
        OpenCVTestRunner.Log("matches found: " + matches.size());
        for (DMatch m : matches.toArray())
            OpenCVTestRunner.Log(m.toString());
        */

        assertArrayDMatchEquals(truth, matches.toArray(), EPS);
    }

    public void testMatchMatMatListOfDMatchMat() {
        Mat train = getTrainDescriptors();
        Mat query = getQueryDescriptors();
        Mat mask = getMaskImg();
        MatOfDMatch matches = new MatOfDMatch();

        matcher.match(query, train, matches, mask);

        assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS);
    }

    public void testRadiusMatchMatListOfListOfDMatchFloat() {
        fail("Not yet implemented");
    }

    public void testRadiusMatchMatListOfListOfDMatchFloatListOfMat() {
        fail("Not yet implemented");
    }

    public void testRadiusMatchMatListOfListOfDMatchFloatListOfMatBoolean() {
        fail("Not yet implemented");
    }

    public void testRadiusMatchMatMatListOfListOfDMatchFloat() {
        fail("Not yet implemented");
    }

    public void testRadiusMatchMatMatListOfListOfDMatchFloatMat() {
        fail("Not yet implemented");
    }

    public void testRadiusMatchMatMatListOfListOfDMatchFloatMatBoolean() {
        fail("Not yet implemented");
    }

    public void testRead() {
        String filename = OpenCVTestRunner.getTempFileName("yml");
        writeFile(filename, "%YAML:1.0\n");

        matcher.read(filename);
        assertTrue(true);// BruteforceMatcher has no settings
    }

    public void testTrain() {
        matcher.train();// BruteforceMatcher does not need to train
    }

    public void testWrite() {
        String filename = OpenCVTestRunner.getTempFileName("yml");

        matcher.write(filename);

        String truth = "%YAML:1.0\n";
        assertEquals(truth, readFile(filename));
    }

}