Java API: added tests for FlannBased DescriptorMatcher
This commit is contained in:
Andrey Kamaev
parent
2a47ab6e08
commit
7d513a6671
@ -0,0 +1,236 @@
|
||||
package org.opencv.test.features2d;
|
||||
|
||||
import org.opencv.core.Core;
|
||||
import org.opencv.core.CvException;
|
||||
import org.opencv.core.CvType;
|
||||
import org.opencv.core.Mat;
|
||||
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 FlannBasedDescriptorMatcherTest extends OpenCVTestCase {
|
||||
|
||||
DescriptorMatcher matcher;
|
||||
int matSize;
|
||||
DMatch[] truth;
|
||||
|
||||
protected void setUp() throws Exception {
|
||||
matcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
|
||||
matSize = 100;
|
||||
|
||||
truth = new DMatch[] {
|
||||
new DMatch(0, 0, 0, 0.643284f),
|
||||
new DMatch(1, 1, 0, 0.92945856f),
|
||||
new DMatch(2, 1, 0, 0.2841479f),
|
||||
new DMatch(3, 1, 0, 0.9194034f),
|
||||
new DMatch(4, 1, 0, 0.3006621f) };
|
||||
|
||||
super.setUp();
|
||||
}
|
||||
|
||||
private Mat getTrainImg() {
|
||||
Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
|
||||
Core.line(cross, new Point(20, matSize / 2), new Point(matSize - 21, matSize / 2), new Scalar(100), 2);
|
||||
Core.line(cross, new Point(matSize / 2, 20), new Point(matSize / 2, matSize - 21), new Scalar(100), 2);
|
||||
|
||||
return cross;
|
||||
}
|
||||
|
||||
private Mat getQueryImg() {
|
||||
Mat cross = new Mat(matSize, matSize, CvType.CV_8U, new Scalar(255));
|
||||
Core.line(cross, new Point(30, matSize / 2), new Point(matSize - 31, matSize / 2), new Scalar(100), 3);
|
||||
Core.line(cross, new Point(matSize / 2, 30), new Point(matSize / 2, matSize - 31), new Scalar(100), 3);
|
||||
|
||||
return cross;
|
||||
}
|
||||
|
||||
private Mat getQueryDescriptors() {
|
||||
Mat img = getQueryImg();
|
||||
List<KeyPoint> keypoints = new ArrayList<KeyPoint>();
|
||||
Mat descriptors = new Mat();
|
||||
|
||||
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
|
||||
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
|
||||
|
||||
String filename = OpenCVTestRunner.getTempFileName("yml");
|
||||
writeFile(filename, "%YAML:1.0\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n");
|
||||
detector.read(filename);
|
||||
|
||||
detector.detect(img, keypoints);
|
||||
extractor.compute(img, keypoints, descriptors);
|
||||
|
||||
return descriptors;
|
||||
}
|
||||
|
||||
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));
|
||||
Mat descriptors = new Mat();
|
||||
|
||||
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
|
||||
|
||||
extractor.compute(img, keypoints, descriptors);
|
||||
|
||||
return descriptors;
|
||||
}
|
||||
|
||||
private Mat getMaskImg() {
|
||||
return new Mat(5, 2, CvType.CV_8U, new Scalar(0)) {
|
||||
{
|
||||
put(0,0, 1, 1, 1, 1);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
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 testCloneBoolean() {
|
||||
matcher.add(Arrays.asList(new Mat()));
|
||||
|
||||
DescriptorMatcher cloned = matcher.clone(true);
|
||||
|
||||
assertNotNull(cloned);
|
||||
assertTrue(cloned.empty());
|
||||
}
|
||||
|
||||
public void testClone() {
|
||||
Mat train = new Mat(1, 1, CvType.CV_8U, new Scalar(123));
|
||||
matcher.add(Arrays.asList(train));
|
||||
|
||||
try {
|
||||
matcher.clone();
|
||||
fail("Expected CvException (CV_StsNotImplemented)");
|
||||
} catch (CvException cverr) {
|
||||
// expected
|
||||
}
|
||||
}
|
||||
|
||||
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() {
|
||||
assertFalse(matcher.isMaskSupported());
|
||||
}
|
||||
|
||||
public void testMatchMatMatListOfDMatchMat() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
Mat mask = getMaskImg();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
|
||||
matcher.match(query, train, matches, mask);
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
|
||||
}
|
||||
|
||||
public void testMatchMatMatListOfDMatch() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
|
||||
matcher.match(query, train, matches);
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
|
||||
|
||||
// OpenCVTestRunner.Log("matches found: " + matches.size());
|
||||
// for (DMatch m : matches)
|
||||
// OpenCVTestRunner.Log(m.toString());
|
||||
}
|
||||
|
||||
public void testMatchMatListOfDMatchListOfMat() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
Mat mask = getMaskImg();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
matcher.add(Arrays.asList(train));
|
||||
matcher.train();
|
||||
|
||||
matcher.match(query, matches, Arrays.asList(mask));
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
|
||||
}
|
||||
|
||||
public void testMatchMatListOfDMatch() {
|
||||
Mat train = getTrainDescriptors();
|
||||
Mat query = getQueryDescriptors();
|
||||
List<DMatch> matches = new ArrayList<DMatch>();
|
||||
matcher.add(Arrays.asList(train));
|
||||
matcher.train();
|
||||
|
||||
matcher.match(query, matches);
|
||||
|
||||
assertListDMatchEquals(Arrays.asList(truth), matches, EPS);
|
||||
}
|
||||
|
||||
public void testRead() {
|
||||
fail("https://code.ros.org/trac/opencv/ticket/1253");
|
||||
String filename = OpenCVTestRunner.getTempFileName("yml");
|
||||
writeFile(filename, "%YAML:1.0\n");
|
||||
|
||||
matcher.read(filename);
|
||||
assertTrue(true);
|
||||
}
|
||||
|
||||
public void testTrain() {
|
||||
Mat train = getTrainDescriptors();
|
||||
matcher.add(Arrays.asList(train));
|
||||
matcher.train();
|
||||
}
|
||||
|
||||
public void testTrainNoData() {
|
||||
try {
|
||||
matcher.train();
|
||||
fail("Expected CvException - FlannBasedMatcher::train should fail on empty train set");
|
||||
} catch (CvException cverr) {
|
||||
// expected
|
||||
}
|
||||
}
|
||||
|
||||
public void testWrite() {
|
||||
fail("https://code.ros.org/trac/opencv/ticket/1253");
|
||||
String filename = OpenCVTestRunner.getTempFileName("yml");
|
||||
|
||||
matcher.write(filename);
|
||||
|
||||
String truth = "%YAML:1.0\n!!!!!";
|
||||
assertEquals(truth, readFile(filename));
|
||||
}
|
||||
|
||||
}
|
||||
Loading…
Reference in New Issue
Block a user