Java API: fixing more tests

pull/13383/head
Andrey Pavlenko 13 years ago
parent 7ed80d54d7
commit 2e7a9041a7
  1. 6
      modules/java/android_test/src/org/opencv/test/OpenCVTestCase.java
  2. 4
      modules/java/android_test/src/org/opencv/test/features2d/BRIEFDescriptorExtractorTest.java
  3. 30
      modules/java/android_test/src/org/opencv/test/features2d/BruteForceDescriptorMatcherTest.java
  4. 28
      modules/java/android_test/src/org/opencv/test/features2d/BruteForceHammingDescriptorMatcherTest.java
  5. 30
      modules/java/android_test/src/org/opencv/test/features2d/BruteForceHammingLUTDescriptorMatcherTest.java
  6. 29
      modules/java/android_test/src/org/opencv/test/features2d/BruteForceL1DescriptorMatcherTest.java
  7. 29
      modules/java/android_test/src/org/opencv/test/features2d/BruteForceSL2DescriptorMatcherTest.java

@ -340,6 +340,12 @@ public class OpenCVTestCase extends TestCase {
assertDMatchEqual(expected[i], actual[i], epsilon);
}
public static void assertListDMatchEquals(List<DMatch> expected, List<DMatch> actual, double epsilon) {
DMatch expectedArray[] = expected.toArray(new DMatch[0]);
DMatch actualArray[] = actual.toArray(new DMatch[0]);
assertArrayDMatchEquals(expectedArray, actualArray, epsilon);
}
public static void assertPointEquals(Point expected, Point actual, double eps) {
String msg = "expected:<" + expected + "> but was:<" + actual + ">";
assertEquals(msg, expected.x, actual.x, eps);

@ -2,8 +2,8 @@ package org.opencv.test.features2d;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.CvVectorKeyPoint;
import org.opencv.core.Mat;
import org.opencv.core.MatOfKeyPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.features2d.DescriptorExtractor;
@ -38,7 +38,7 @@ public class BRIEFDescriptorExtractorTest extends OpenCVTestCase {
public void testComputeMatListOfKeyPointMat() {
KeyPoint point = new KeyPoint(55.775577545166016f, 44.224422454833984f, 16, 9.754629f, 8617.863f, 1, -1);
CvVectorKeyPoint keypoints = new CvVectorKeyPoint(point);
MatOfKeyPoint keypoints = new MatOfKeyPoint(point);
Mat img = getTestImg();
Mat descriptors = new Mat();

@ -6,9 +6,9 @@ import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.CvVectorDMatch;
import org.opencv.core.CvVectorKeyPoint;
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.features2d.DMatch;
@ -35,7 +35,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
private Mat getQueryDescriptors() {
Mat img = getQueryImg();
CvVectorKeyPoint keypoints = new CvVectorKeyPoint();
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
@ -61,7 +61,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
private Mat getTrainDescriptors() {
Mat img = getTrainImg();
CvVectorKeyPoint keypoints = new CvVectorKeyPoint(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);
@ -168,7 +168,7 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
final int k = 3;
Mat train = getTrainDescriptors();
Mat query = getQueryDescriptors();
List<CvVectorDMatch> matches = new ArrayList<CvVectorDMatch>();
List<MatOfDMatch> matches = new ArrayList<MatOfDMatch>();
matcher.knnMatch(query, train, matches, k);
/*
matcher.add(Arrays.asList(train));
@ -177,9 +177,9 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
assertEquals(query.rows(), matches.size());
for(int i = 0; i<matches.size(); i++)
{
CvVectorDMatch vdm = matches.get(i);
MatOfDMatch vdm = matches.get(i);
assertEquals(Math.min(k, train.rows()), vdm.total());
for(DMatch dm : vdm.toArray(null))
for(DMatch dm : vdm.toArray())
{
assertEquals(dm.queryIdx, i);
}
@ -197,34 +197,34 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
public void testMatchMatListOfDMatch() {
Mat train = getTrainDescriptors();
Mat query = getQueryDescriptors();
CvVectorDMatch matches = new CvVectorDMatch();
MatOfDMatch matches = new MatOfDMatch();
matcher.add(Arrays.asList(train));
matcher.match(query, matches);
assertArrayDMatchEquals(truth, matches.toArray(null), EPS);
assertArrayDMatchEquals(truth, matches.toArray(), EPS);
}
public void testMatchMatListOfDMatchListOfMat() {
Mat train = getTrainDescriptors();
Mat query = getQueryDescriptors();
Mat mask = getMaskImg();
CvVectorDMatch matches = new CvVectorDMatch();
MatOfDMatch matches = new MatOfDMatch();
matcher.add(Arrays.asList(train));
matcher.match(query, matches, Arrays.asList(mask));
assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(null), EPS);
assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(), EPS);
}
public void testMatchMatMatListOfDMatch() {
Mat train = getTrainDescriptors();
Mat query = getQueryDescriptors();
CvVectorDMatch matches = new CvVectorDMatch();
MatOfDMatch matches = new MatOfDMatch();
matcher.match(query, train, matches);
assertArrayDMatchEquals(truth, matches.toArray(null), EPS);
assertArrayDMatchEquals(truth, matches.toArray(), EPS);
// OpenCVTestRunner.Log("matches found: " + matches.size());
// for (DMatch m : matches)
@ -235,11 +235,11 @@ public class BruteForceDescriptorMatcherTest extends OpenCVTestCase {
Mat train = getTrainDescriptors();
Mat query = getQueryDescriptors();
Mat mask = getMaskImg();
CvVectorDMatch matches = new CvVectorDMatch();
MatOfDMatch matches = new MatOfDMatch();
matcher.match(query, train, matches, mask);
assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(null), EPS);
assertArrayDMatchEquals(Arrays.copyOfRange(truth, 0, 2), matches.toArray(), EPS);
}
public void testRadiusMatchMatListOfListOfDMatchFloat() {

@ -1,22 +1,22 @@
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.features2d.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
DescriptorMatcher matcher;
@ -42,7 +42,7 @@ public class BruteForceHammingDescriptorMatcherTest extends OpenCVTestCase {
}
private Mat getTestDescriptors(Mat img) {
List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.FAST);
@ -162,45 +162,45 @@ public class BruteForceHammingDescriptorMatcherTest 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);
assertListDMatchEquals(Arrays.asList(truth), matches.toList(), 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);
assertListDMatchEquals(Arrays.asList(truth), matches.toList(), EPS);
}
public void testMatchMatMatListOfDMatchMat() {
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() {

@ -1,22 +1,22 @@
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.features2d.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
DescriptorMatcher matcher;
@ -42,7 +42,7 @@ public class BruteForceHammingLUTDescriptorMatcherTest extends OpenCVTestCase {
}
private Mat getTestDescriptors(Mat img) {
List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.FAST);
@ -162,49 +162,49 @@ public class BruteForceHammingLUTDescriptorMatcherTest 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);
OpenCVTestRunner.Log("matches found: " + matches.size());
for (DMatch m : matches)
for (DMatch m : matches.toArray())
OpenCVTestRunner.Log(m.toString());
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
assertArrayDMatchEquals(truth, matches.toArray(), EPS);
}
public void testMatchMatMatListOfDMatchMat() {
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() {

@ -1,8 +1,13 @@
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.features2d.DMatch;
@ -13,10 +18,6 @@ import org.opencv.features2d.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
DescriptorMatcher matcher;
@ -33,7 +34,7 @@ public class BruteForceL1DescriptorMatcherTest extends OpenCVTestCase {
private Mat getQueryDescriptors() {
Mat img = getQueryImg();
List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
MatOfKeyPoint keypoints = new MatOfKeyPoint();
Mat descriptors = new Mat();
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
@ -59,7 +60,7 @@ public class BruteForceL1DescriptorMatcherTest 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);
@ -176,45 +177,45 @@ public class BruteForceL1DescriptorMatcherTest 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);
}
public void testMatchMatMatListOfDMatchMat() {
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() {

@ -1,8 +1,13 @@
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.features2d.DMatch;
@ -13,10 +18,6 @@ import org.opencv.features2d.KeyPoint;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
DescriptorMatcher matcher;
@ -37,7 +38,7 @@ public class BruteForceSL2DescriptorMatcherTest extends OpenCVTestCase {
private Mat getQueryDescriptors() {
Mat img = getQueryImg();
List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
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() {

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