提交 e1cd84bb 编写于 作者: A Andrey Kamaev

Java API: added and fixed several tests

上级 19c3cf45
......@@ -70,4 +70,9 @@ public class OpenCVTestRunner extends InstrumentationTestRunner {
androidTestRunner = super.getAndroidTestRunner();
return androidTestRunner;
}
public static String getOutputFileName(String name)
{
return context.getExternalFilesDir(null).getAbsolutePath() + File.separatorChar + name;
}
}
......@@ -242,7 +242,7 @@ public class calib3dTest extends OpenCVTestCase {
List<Point> pts1 = new ArrayList<Point>();
List<Point> pts2 = new ArrayList<Point>();
int minFundamentalMatPoints = 9; // FIXME: probably should be 8 (see ticket #1262)
int minFundamentalMatPoints = 8;
for (int i = 0; i < minFundamentalMatPoints; i++) {
double x = Math.random() * 100 - 50;
double y = Math.random() * 100 - 50;
......
package org.opencv.test.features2d;
import org.opencv.calib3d.Calib3d;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Range;
import org.opencv.features2d.DMatch;
import org.opencv.features2d.DescriptorExtractor;
import org.opencv.features2d.DescriptorMatcher;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.Features2d;
import org.opencv.features2d.KeyPoint;
import org.opencv.highgui.Highgui;
import org.opencv.test.OpenCVTestCase;
import org.opencv.test.OpenCVTestRunner;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class features2dTest extends OpenCVTestCase {
public void testPTOD()
{
String detectorCfg = "%YAML:1.0\nhessianThreshold: 4000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n";
String extractorCfg = "%YAML:1.0\nnOctaves: 4\nnOctaveLayers: 2\nextended: 0\nupright: 0\n";
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SURF);
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SURF);
DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
String detectorCfgFile = OpenCVTestRunner.getTempFileName("yml");
writeFile(detectorCfgFile, detectorCfg);
detector.read(detectorCfgFile);
String extractorCfgFile = OpenCVTestRunner.getTempFileName("yml");
writeFile(extractorCfgFile, extractorCfg);
extractor.read(extractorCfgFile);
Mat imgTrain = Highgui.imread(OpenCVTestRunner.LENA_PATH, Highgui.CV_LOAD_IMAGE_GRAYSCALE);
Mat imgQuery = imgTrain.submat(new Range(0, imgTrain.rows()-100), Range.all());
List<KeyPoint> trainKeypoints = new ArrayList<KeyPoint>();
List<KeyPoint> queryKeypoints = new ArrayList<KeyPoint>();
detector.detect(imgTrain, trainKeypoints);
detector.detect(imgQuery, queryKeypoints);
//OpenCVTestRunner.Log("Keypoints found: " + trainKeypoints.size() + ":" + queryKeypoints.size());
Mat trainDescriptors = new Mat();
Mat queryDescriptors = new Mat();
extractor.compute(imgTrain, trainKeypoints, trainDescriptors);
extractor.compute(imgQuery, queryKeypoints, queryDescriptors);
List<DMatch> matches = new ArrayList<DMatch>();
matcher.add(Arrays.asList(trainDescriptors));
matcher.match(queryDescriptors, matches);
//OpenCVTestRunner.Log("Matches found: " + matches.size());
List<Point> points1 = new ArrayList<Point>();
List<Point> points2 = new ArrayList<Point>();
for(int i = 0; i < matches.size(); i++){
DMatch match = matches.get(i);
points1.add(trainKeypoints.get(match.trainIdx).pt);
points2.add(queryKeypoints.get(match.queryIdx).pt);
}
Mat hmg = Calib3d.findHomography(points1, points2, Calib3d.RANSAC);
assertMatEqual(Mat.eye(3, 3, CvType.CV_64F), hmg, EPS);
Mat outimg = new Mat();
Features2d.drawMatches(imgQuery, queryKeypoints, imgTrain, trainKeypoints, matches, outimg);
String outputPath = OpenCVTestRunner.getOutputFileName("PTODresult.png");
Highgui.imwrite(outputPath, outimg);
//OpenCVTestRunner.Log("Output image is saved to: " + outputPath);
}
}
......@@ -122,9 +122,4 @@ public class VideoCaptureTest extends OpenCVTestCase {
capture.release();
assertTrue(isOpened);
}
public void testVideoCaptureString() {
fail("Not yet implemented");
}
}
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