Java API: added and fixed several tests
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@ -70,4 +70,9 @@ public class OpenCVTestRunner extends InstrumentationTestRunner {
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androidTestRunner = super.getAndroidTestRunner();
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return androidTestRunner;
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}
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public static String getOutputFileName(String name)
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{
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return context.getExternalFilesDir(null).getAbsolutePath() + File.separatorChar + name;
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}
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}
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@ -242,7 +242,7 @@ public class calib3dTest extends OpenCVTestCase {
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List<Point> pts1 = new ArrayList<Point>();
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List<Point> pts2 = new ArrayList<Point>();
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int minFundamentalMatPoints = 9; // FIXME: probably should be 8 (see ticket #1262)
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int minFundamentalMatPoints = 8;
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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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double y = Math.random() * 100 - 50;
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@ -1,6 +1,84 @@
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package org.opencv.test.features2d;
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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.Point;
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import org.opencv.core.Range;
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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.Features2d;
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import org.opencv.features2d.KeyPoint;
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import org.opencv.highgui.Highgui;
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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 features2dTest extends OpenCVTestCase {
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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 = Highgui.imread(OpenCVTestRunner.LENA_PATH, Highgui.CV_LOAD_IMAGE_GRAYSCALE);
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Mat imgQuery = imgTrain.submat(new Range(0, imgTrain.rows()-100), Range.all());
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List<KeyPoint> trainKeypoints = new ArrayList<KeyPoint>();
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List<KeyPoint> queryKeypoints = new ArrayList<KeyPoint>();
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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() + ":" + 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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List<DMatch> matches = new ArrayList<DMatch>();
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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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List<Point> points1 = new ArrayList<Point>();
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List<Point> points2 = new ArrayList<Point>();
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for(int i = 0; i < matches.size(); i++){
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DMatch match = matches.get(i);
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points1.add(trainKeypoints.get(match.trainIdx).pt);
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points2.add(queryKeypoints.get(match.queryIdx).pt);
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}
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Mat hmg = Calib3d.findHomography(points1, points2, Calib3d.RANSAC);
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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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Highgui.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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@ -122,9 +122,4 @@ public class VideoCaptureTest extends OpenCVTestCase {
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capture.release();
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assertTrue(isOpened);
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}
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public void testVideoCaptureString() {
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fail("Not yet implemented");
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}
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}
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