|
|
|
@@ -1,6 +1,84 @@
|
|
|
|
|
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);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|