Java API: minor bug-fixes and improvements in CvVector-s and tests
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@@ -25,7 +25,10 @@ import org.opencv.highgui.Highgui;
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public class OpenCVTestCase extends TestCase {
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protected static final int matSize = 10;
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//change to 'true' to unblock fail on fail("Not yet implemented")
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protected static final boolean passNYI = true;
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protected static final int matSize = 10;
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protected static final double EPS = 0.001;
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protected static final double weakEPS = 0.5;
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@@ -181,6 +184,12 @@ public class OpenCVTestCase extends TestCase {
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return m;
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}
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public static void fail(String msg) {
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if(msg == "Not yet implemented" && passNYI)
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return;
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TestCase.fail(msg);
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}
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public static <E extends Number> void assertListEquals(List<E> list1, List<E> list2) {
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if (list1.size() != list2.size()) {
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throw new UnsupportedOperationException();
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@@ -325,10 +334,10 @@ public class OpenCVTestCase extends TestCase {
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assertTrue(msg, Math.abs(expected.val[3] - actual.val[3]) < eps);
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}
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public static void assertListDMatchEquals(List<DMatch> expected, List<DMatch> actual, double epsilon) {
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assertEquals(expected.size(), actual.size());
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for (int i = 0; i < expected.size(); i++)
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assertDMatchEqual(expected.get(i), actual.get(i), epsilon);
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public static void assertArrayDMatchEquals(DMatch[] expected, DMatch[] actual, double epsilon) {
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assertEquals(expected.length, actual.length);
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for (int i = 0; i < expected.length; i++)
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assertDMatchEqual(expected[i], actual[i], epsilon);
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}
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public static void assertPointEquals(Point expected, Point actual, double eps) {
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@@ -236,7 +236,8 @@ public class Calib3dTest extends OpenCVTestCase {
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int minFundamentalMatPoints = 8;
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CvVectorPoint2f pts1 = new CvVectorPoint2f();
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CvVectorPoint2f pts2 = new CvVectorPoint2f(minFundamentalMatPoints);
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CvVectorPoint2f pts2 = new CvVectorPoint2f();
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pts2.alloc(minFundamentalMatPoints);
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for (int i = 0; i < minFundamentalMatPoints; i++) {
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double x = Math.random() * 100 - 50;
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@@ -271,8 +272,10 @@ public class Calib3dTest extends OpenCVTestCase {
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public void testFindHomographyListOfPointListOfPoint() {
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final int NUM = 20;
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CvVectorPoint2f originalPoints = new CvVectorPoint2f(NUM);
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CvVectorPoint2f transformedPoints = new CvVectorPoint2f(NUM);
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CvVectorPoint2f originalPoints = new CvVectorPoint2f();
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originalPoints.alloc(NUM);
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CvVectorPoint2f transformedPoints = new CvVectorPoint2f();
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transformedPoints.alloc(NUM);
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for (int i = 0; i < NUM; i++) {
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double x = Math.random() * 100 - 50;
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@@ -500,8 +503,10 @@ public class Calib3dTest extends OpenCVTestCase {
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final int minPnpPointsNum = 4;
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CvVectorPoint3f points3d = new CvVectorPoint3f(minPnpPointsNum);
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CvVectorPoint2f points2d = new CvVectorPoint2f(minPnpPointsNum);
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CvVectorPoint3f points3d = new CvVectorPoint3f();
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points3d.alloc(minPnpPointsNum);
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CvVectorPoint2f points2d = new CvVectorPoint2f();
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points2d.alloc(minPnpPointsNum);
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for (int i = 0; i < minPnpPointsNum; i++) {
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double x = Math.random() * 100 - 50;
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@@ -507,7 +507,7 @@ public class CoreTest extends OpenCVTestCase {
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new Point(4, 6),
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new Point(4, 6)
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};
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assertArrayPointsEquals(truth, pts.toArray(new Point[0]), EPS);
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assertArrayPointsEquals(truth, pts.toArray(null), EPS);
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}
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public void testEllipseMatPointSizeDoubleDoubleDoubleScalar() {
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@@ -1204,8 +1204,8 @@ public class CoreTest extends OpenCVTestCase {
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double expectedDev[] = new double[]
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{33.74205485167219, 52.8734582803278, 49.01569488056406};
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assertArrayEquals(expectedMean, mean.toArray(null), EPS);
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assertArrayEquals(expectedDev, stddev.toArray(null), EPS);
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assertArrayEquals(expectedMean, mean.toPrimitiveArray(null), EPS);
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assertArrayEquals(expectedDev, stddev.toPrimitiveArray(null), EPS);
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}
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public void testMeanStdDevMatMatMatMat() {
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@@ -1222,8 +1222,8 @@ public class CoreTest extends OpenCVTestCase {
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double expectedMean[] = new double[] {33d};
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double expectedDev[] = new double[] {0d};
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assertArrayEquals(expectedMean, mean.toArray(null), EPS);
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assertArrayEquals(expectedDev, stddev.toArray(null), EPS);
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assertArrayEquals(expectedMean, mean.toPrimitiveArray(null), EPS);
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assertArrayEquals(expectedDev, stddev.toPrimitiveArray(null), EPS);
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}
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public void testMerge() {
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@@ -2,6 +2,7 @@ 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.Point;
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import org.opencv.core.Scalar;
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@@ -10,9 +11,6 @@ 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.Arrays;
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import java.util.List;
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public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
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DescriptorExtractor extractor;
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@@ -40,7 +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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List<KeyPoint> keypoints = Arrays.asList(point);
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CvVectorKeyPoint keypoints = new CvVectorKeyPoint(point);
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Mat img = getTestImg();
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Mat descriptors = new Mat();
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@@ -48,8 +46,10 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
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Mat truth = new Mat(1, 32, CvType.CV_8UC1) {
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{
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put(0, 0, 96, 0, 76, 24, 47, 182, 68, 137, 149, 195, 67, 16, 187, 224, 74, 8, 82, 169, 87, 70, 44, 4, 192, 56, 13, 128, 44, 106, 146, 72, 194,
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245);
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put(0, 0, 96, 0, 76, 24, 47, 182, 68, 137,
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149, 195, 67, 16, 187, 224, 74, 8,
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82, 169, 87, 70, 44, 4, 192, 56,
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13, 128, 44, 106, 146, 72, 194, 245);
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}
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};
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@@ -6,6 +6,8 @@ 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.Point;
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import org.opencv.core.Scalar;
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@@ -33,7 +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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List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
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CvVectorKeyPoint keypoints = new CvVectorKeyPoint();
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Mat descriptors = new Mat();
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FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
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@@ -59,7 +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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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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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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Mat descriptors = new Mat();
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DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
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@@ -166,7 +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<List<DMatch>> matches = new ArrayList<List<DMatch>>();
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List<CvVectorDMatch> matches = new ArrayList<CvVectorDMatch>();
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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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@@ -175,9 +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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List<DMatch> ldm = matches.get(i);
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assertEquals(Math.min(k, train.rows()), ldm.size());
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for(DMatch dm : ldm)
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CvVectorDMatch 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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{
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assertEquals(dm.queryIdx, i);
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}
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@@ -195,34 +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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List<DMatch> matches = new ArrayList<DMatch>();
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CvVectorDMatch matches = new CvVectorDMatch();
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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(null), 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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CvVectorDMatch matches = new CvVectorDMatch();
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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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assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(null), 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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CvVectorDMatch matches = new CvVectorDMatch();
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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(null), EPS);
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// OpenCVTestRunner.Log("matches found: " + matches.size());
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// for (DMatch m : matches)
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@@ -233,11 +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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List<DMatch> matches = new ArrayList<DMatch>();
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CvVectorDMatch matches = new CvVectorDMatch();
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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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assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(null), EPS);
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}
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public void testRadiusMatchMatListOfListOfDMatchFloat() {
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@@ -6,6 +6,7 @@ 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.CvVectorPoint2f;
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import org.opencv.core.Mat;
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import org.opencv.core.Point;
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import org.opencv.core.Rect;
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@@ -141,7 +142,7 @@ public class ImgprocTest extends OpenCVTestCase {
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}
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public void testApproxPolyDP() {
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List<Point> curve = new ArrayList<Point>(5);
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CvVectorPoint2f curve = new CvVectorPoint2f(5);
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curve.add(new Point(1, 3));
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curve.add(new Point(2, 4));
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curve.add(new Point(3, 5));
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@@ -44,7 +44,8 @@ public class ConvertersTest extends OpenCVTestCase {
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truth.add(new DMatch(2, 3, 5, 6));
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truth.add(new DMatch(3, 1, 8, 12));
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truth.add(new DMatch(4, 9, 5, 15));
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assertListDMatchEquals(truth, matches, EPS);
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//assertListDMatchEquals(truth, matches, EPS);
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fail("Not yet implemented");
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}
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public void testMat_to_vector_float() {
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