Modified java wrapping mechanism
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145
modules/features2d/misc/java/test/Features2dTest.java
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145
modules/features2d/misc/java/test/Features2dTest.java
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package org.opencv.test.features2d;
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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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import org.opencv.calib3d.Calib3d;
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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.MatOfPoint2f;
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import org.opencv.core.Point;
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import org.opencv.core.Range;
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import org.opencv.core.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.Features2d;
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import org.opencv.core.KeyPoint;
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import org.opencv.imgcodecs.Imgcodecs;
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import org.opencv.test.OpenCVTestCase;
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import org.opencv.test.OpenCVTestRunner;
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public class Features2dTest extends OpenCVTestCase {
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public void testDrawKeypointsMatListOfKeyPointMat() {
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fail("Not yet implemented");
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}
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public void testDrawKeypointsMatListOfKeyPointMatScalar() {
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fail("Not yet implemented");
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}
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public void testDrawKeypointsMatListOfKeyPointMatScalarInt() {
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fail("Not yet implemented");
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}
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public void testDrawMatches2MatListOfKeyPointMatListOfKeyPointListOfListOfDMatchMat() {
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fail("Not yet implemented");
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}
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public void testDrawMatches2MatListOfKeyPointMatListOfKeyPointListOfListOfDMatchMatScalar() {
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fail("Not yet implemented");
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}
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public void testDrawMatches2MatListOfKeyPointMatListOfKeyPointListOfListOfDMatchMatScalarScalar() {
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fail("Not yet implemented");
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}
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public void testDrawMatches2MatListOfKeyPointMatListOfKeyPointListOfListOfDMatchMatScalarScalarListOfListOfByte() {
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fail("Not yet implemented");
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}
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public void testDrawMatches2MatListOfKeyPointMatListOfKeyPointListOfListOfDMatchMatScalarScalarListOfListOfByteInt() {
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fail("Not yet implemented");
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}
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public void testDrawMatchesMatListOfKeyPointMatListOfKeyPointListOfDMatchMat() {
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fail("Not yet implemented");
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}
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public void testDrawMatchesMatListOfKeyPointMatListOfKeyPointListOfDMatchMatScalar() {
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fail("Not yet implemented");
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}
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public void testDrawMatchesMatListOfKeyPointMatListOfKeyPointListOfDMatchMatScalarScalar() {
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fail("Not yet implemented");
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}
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public void testDrawMatchesMatListOfKeyPointMatListOfKeyPointListOfDMatchMatScalarScalarListOfByte() {
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fail("Not yet implemented");
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}
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public void testDrawMatchesMatListOfKeyPointMatListOfKeyPointListOfDMatchMatScalarScalarListOfByteInt() {
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fail("Not yet implemented");
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}
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public void testPTOD()
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{
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String detectorCfg = "%YAML:1.0\nhessianThreshold: 4000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n";
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String extractorCfg = "%YAML:1.0\nnOctaves: 4\nnOctaveLayers: 2\nextended: 0\nupright: 0\n";
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FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
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DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
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DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
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String detectorCfgFile = OpenCVTestRunner.getTempFileName("yml");
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writeFile(detectorCfgFile, detectorCfg);
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detector.read(detectorCfgFile);
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String extractorCfgFile = OpenCVTestRunner.getTempFileName("yml");
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writeFile(extractorCfgFile, extractorCfg);
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extractor.read(extractorCfgFile);
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Mat imgTrain = Imgcodecs.imread(OpenCVTestRunner.LENA_PATH, Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
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Mat imgQuery = imgTrain.submat(new Range(0, imgTrain.rows() - 100), Range.all());
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MatOfKeyPoint trainKeypoints = new MatOfKeyPoint();
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MatOfKeyPoint queryKeypoints = new MatOfKeyPoint();
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detector.detect(imgTrain, trainKeypoints);
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detector.detect(imgQuery, queryKeypoints);
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// OpenCVTestRunner.Log("Keypoints found: " + trainKeypoints.size() +
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// ":" + queryKeypoints.size());
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Mat trainDescriptors = new Mat();
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Mat queryDescriptors = new Mat();
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extractor.compute(imgTrain, trainKeypoints, trainDescriptors);
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extractor.compute(imgQuery, queryKeypoints, queryDescriptors);
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MatOfDMatch matches = new MatOfDMatch();
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matcher.add(Arrays.asList(trainDescriptors));
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matcher.match(queryDescriptors, matches);
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// OpenCVTestRunner.Log("Matches found: " + matches.size());
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DMatch adm[] = matches.toArray();
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List<Point> lp1 = new ArrayList<Point>(adm.length);
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List<Point> lp2 = new ArrayList<Point>(adm.length);
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KeyPoint tkp[] = trainKeypoints.toArray();
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KeyPoint qkp[] = queryKeypoints.toArray();
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for (int i = 0; i < adm.length; i++) {
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DMatch dm = adm[i];
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lp1.add(tkp[dm.trainIdx].pt);
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lp2.add(qkp[dm.queryIdx].pt);
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}
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MatOfPoint2f points1 = new MatOfPoint2f(lp1.toArray(new Point[0]));
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MatOfPoint2f points2 = new MatOfPoint2f(lp2.toArray(new Point[0]));
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Mat hmg = Calib3d.findHomography(points1, points2, Calib3d.RANSAC, 3);
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assertMatEqual(Mat.eye(3, 3, CvType.CV_64F), hmg, EPS);
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Mat outimg = new Mat();
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Features2d.drawMatches(imgQuery, queryKeypoints, imgTrain, trainKeypoints, matches, outimg);
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String outputPath = OpenCVTestRunner.getOutputFileName("PTODresult.png");
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Imgcodecs.imwrite(outputPath, outimg);
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// OpenCVTestRunner.Log("Output image is saved to: " + outputPath);
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}
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}
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