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Java API: fixing more tests
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parent
7ed80d54d7
commit
2e7a9041a7
@ -340,6 +340,12 @@ public class OpenCVTestCase extends TestCase {
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assertDMatchEqual(expected[i], actual[i], epsilon);
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}
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public static void assertListDMatchEquals(List<DMatch> expected, List<DMatch> actual, double epsilon) {
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DMatch expectedArray[] = expected.toArray(new DMatch[0]);
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DMatch actualArray[] = actual.toArray(new DMatch[0]);
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assertArrayDMatchEquals(expectedArray, actualArray, epsilon);
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}
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public static void assertPointEquals(Point expected, Point actual, double eps) {
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String msg = "expected:<" + expected + "> but was:<" + actual + ">";
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assertEquals(msg, expected.x, actual.x, eps);
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@ -2,8 +2,8 @@ package org.opencv.test.features2d;
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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.CvVectorKeyPoint;
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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.DescriptorExtractor;
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@ -38,7 +38,7 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
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public void testComputeMatListOfKeyPointMat() {
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KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
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CvVectorKeyPoint keypoints = new CvVectorKeyPoint(point);
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MatOfKeyPoint keypoints = new MatOfKeyPoint(point);
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Mat img = getTestImg();
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Mat descriptors = new Mat();
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@ -6,9 +6,9 @@ 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.CvVectorDMatch;
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import org.opencv.core.CvVectorKeyPoint;
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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.features2d.DMatch;
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@ -35,7 +35,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
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private Mat getQueryDescriptors() {
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Mat img = getQueryImg();
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CvVectorKeyPoint keypoints = new CvVectorKeyPoint();
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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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@ -61,7 +61,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
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private Mat getTrainDescriptors() {
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Mat img = getTrainImg();
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CvVectorKeyPoint keypoints = new CvVectorKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
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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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@ -168,7 +168,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
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final int k = 3;
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Mat train = getTrainDescriptors();
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Mat query = getQueryDescriptors();
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List<CvVectorDMatch> matches = new ArrayList<CvVectorDMatch>();
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List<MatOfDMatch> matches = new ArrayList<MatOfDMatch>();
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matcher.knnMatch(query, train, matches, k);
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/*
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matcher.add(Arrays.asList(train));
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@ -177,9 +177,9 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
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assertEquals(query.rows(), matches.size());
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for(int i = 0; i<matches.size(); i++)
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{
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CvVectorDMatch vdm = matches.get(i);
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MatOfDMatch vdm = matches.get(i);
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assertEquals(Math.min(k, train.rows()), vdm.total());
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for(DMatch dm : vdm.toArray(null))
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for(DMatch dm : vdm.toArray())
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{
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assertEquals(dm.queryIdx, i);
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}
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@ -197,34 +197,34 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
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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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CvVectorDMatch matches = new CvVectorDMatch();
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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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assertArrayDMatchEquals(truth, matches.toArray(null), EPS);
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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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CvVectorDMatch matches = new CvVectorDMatch();
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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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assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(null), EPS);
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assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(), 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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CvVectorDMatch matches = new CvVectorDMatch();
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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(null), EPS);
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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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@ -235,11 +235,11 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
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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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CvVectorDMatch matches = new CvVectorDMatch();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.match(query, train, matches, mask);
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assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(null), EPS);
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assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(), EPS);
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}
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public void testRadiusMatchMatListOfListOfDMatchFloat() {
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@ -1,22 +1,22 @@
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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.features2d.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.features2d.KeyPoint;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
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DescriptorMatcher matcher;
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@ -42,7 +42,7 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
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}
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private Mat getTestDescriptors(Mat img) {
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List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
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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.FAST);
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@ -162,45 +162,45 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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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assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
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assertListDMatchEquals(Arrays.asList(truth), matches.toList(), 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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List<DMatch> matches = new ArrayList<DMatch>();
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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, EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.match(query, train, matches);
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assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
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assertListDMatchEquals(Arrays.asList(truth), matches.toList(), EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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, EPS);
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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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@ -1,22 +1,22 @@
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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.features2d.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.features2d.KeyPoint;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
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DescriptorMatcher matcher;
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@ -42,7 +42,7 @@ public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
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}
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private Mat getTestDescriptors(Mat img) {
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List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
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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.FAST);
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@ -162,49 +162,49 @@ public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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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assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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, EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.match(query, train, matches);
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OpenCVTestRunner.Log("matches found: " + matches.size());
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for (DMatch m : matches)
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for (DMatch m : matches.toArray())
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OpenCVTestRunner.Log(m.toString());
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assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
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assertArrayDMatchEquals(truth, matches.toArray(), EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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, EPS);
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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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@ -1,8 +1,13 @@
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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.features2d.DMatch;
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@ -13,10 +18,6 @@ import org.opencv.features2d.KeyPoint;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.List;
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public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
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DescriptorMatcher matcher;
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@ -33,7 +34,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
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private Mat getQueryDescriptors() {
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Mat img = getQueryImg();
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List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
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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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@ -59,7 +60,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
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private Mat getTrainDescriptors() {
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Mat img = getTrainImg();
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List<KeyPoint> keypoints = Arrays.asList(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
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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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@ -176,45 +177,45 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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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assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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, EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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MatOfDMatch matches = new MatOfDMatch();
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matcher.match(query, train, matches);
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assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
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assertArrayDMatchEquals(truth, matches.toArray(), EPS);
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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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List<DMatch> matches = new ArrayList<DMatch>();
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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, EPS);
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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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|
@ -1,8 +1,13 @@
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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.features2d.DMatch;
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@ -13,10 +18,6 @@ import org.opencv.features2d.KeyPoint;
|
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.List;
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|
||||
public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
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||||
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DescriptorMatcher matcher;
|
||||
@ -37,7 +38,7 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
|
||||
|
||||
private Mat getQueryDescriptors() {
|
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Mat img = getQueryImg();
|
||||
List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
|
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MatOfKeyPoint keypoints = new MatOfKeyPoint();
|
||||
Mat descriptors = new Mat();
|
||||
|
||||
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
|
||||
@ -63,7 +64,7 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
|
||||
|
||||
private Mat getTrainDescriptors() {
|
||||
Mat img = getTrainImg();
|
||||
List<KeyPoint> keypoints = Arrays.asList(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
|
||||
MatOfKeyPoint keypoints = new MatOfKeyPoint(new KeyPoint(50, 50, 16, 0, 20000, 1, -1), new KeyPoint(42, 42, 16, 160, 10000, 1, -1));
|
||||
Mat descriptors = new Mat();
|
||||
|
||||
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
|
||||
@ -181,34 +182,34 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
|
||||
public void testMatchMatListOfDMatch() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
MatOfDMatch matches = new MatOfDMatch();
|
||||
matcher.add(Arrays.asList(train));
|
||||
|
||||
matcher.match(query, matches);
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
|
||||
assertArrayDMatchEquals(truth, matches.toArray(), EPS);
|
||||
}
|
||||
|
||||
public void testMatchMatListOfDMatchListOfMat() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
Mat mask = getMaskImg();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
MatOfDMatch matches = new MatOfDMatch();
|
||||
matcher.add(Arrays.asList(train));
|
||||
|
||||
matcher.match(query, matches, Arrays.asList(mask));
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches, EPS);
|
||||
assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS);
|
||||
}
|
||||
|
||||
public void testMatchMatMatListOfDMatch() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
MatOfDMatch matches = new MatOfDMatch();
|
||||
|
||||
matcher.match(query, train, matches);
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
|
||||
assertArrayDMatchEquals(truth, matches.toArray(), EPS);
|
||||
|
||||
// OpenCVTestRunner.Log("matches found: " + matches.size());
|
||||
// for (DMatch m : matches)
|
||||
@ -219,11 +220,11 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
Mat mask = getMaskImg();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
MatOfDMatch matches = new MatOfDMatch();
|
||||
|
||||
matcher.match(query, train, matches, mask);
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches, EPS);
|
||||
assertListDMatchEquals(Arrays.asList(truth[0], truth[1]), matches.toList(), EPS);
|
||||
}
|
||||
|
||||
public void testRadiusMatchMatListOfListOfDMatchFloat() {
|
||||
|
Loading…
Reference in New Issue
Block a user