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| public Meta getMatch(Mat frame) { | |
| try { | |
| FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB); | |
| DescriptorExtractor descriptor = DescriptorExtractor.create(DescriptorExtractor.ORB);; | |
| DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING); | |
| //first image | |
| Mat img1 = frame.clone();//Imgcodecs.imread("C:\\Users\\Dexter\\Desktop\\opencv\\2\\333.png", 0); | |
| Mat descriptors1 = new Mat(); | |
| MatOfKeyPoint keypoints1 = new MatOfKeyPoint(); | |
| detector.detect(img1, keypoints1); | |
| descriptor.compute(img1, keypoints1, descriptors1); | |
| //second image | |
| Mat img2 = tamplate.clone(); //Imgcodecs.imread("C:\\Users\\Dexter\\Desktop\\opencv\\2\\222.png", 0); | |
| Mat descriptors2 = new Mat(); | |
| MatOfKeyPoint keypoints2 = new MatOfKeyPoint(); | |
| detector.detect(img2, keypoints2); | |
| descriptor.compute(img2, keypoints2, descriptors2); | |
| //matcher should include 2 different image's descriptors | |
| MatOfDMatch matches = new MatOfDMatch(); | |
| matcher.match(descriptors1, descriptors2, matches); | |
| List<DMatch> good_matches = matches.toList(); | |
| List<DMatch> good_matches2 = new ArrayList<>(); | |
| System.out.println(" mataches : " + good_matches.size()); | |
| // if there < 450 point matches don't continue | |
| if (good_matches.size() < 450) { | |
| return frame; | |
| } | |
| Comparator<DMatch> bySizeDifferent = Comparator.comparing(user -> user.distance); | |
| // from the > 450 get 100 to do homography on them and sort them by the distance | |
| good_matches.stream().sorted(bySizeDifferent).limit(100).forEach(u -> { | |
| good_matches2.add(u); | |
| }); | |
| System.out.println("good matache : " + good_matches2.get(0).distance + " " + good_matches2.get(good_matches2.size() - 1).distance); | |
| if (good_matches2.get(0).distance > 25) { // if the best keypoint match score < 85% drop the proces, change the value whaever you want | |
| return frame; | |
| } | |
| MatOfDMatch gm = new MatOfDMatch(); | |
| gm.fromList(good_matches2); | |
| /* | |
| //this will draw all matches, | |
| Scalar RED = new Scalar(255, 0, 0); | |
| Scalar GREEN = new Scalar(0, 255, 0); | |
| //output image | |
| Mat outputImg = new Mat(); | |
| MatOfByte drawnMatches = new MatOfByte(); | |
| Features2d.drawMatches(img1, keypoints1, img2, keypoints2, gm, outputImg, GREEN, RED, drawnMatches, Features2d.NOT_DRAW_SINGLE_POINTS); | |
| return outputImg; | |
| */ | |
| LinkedList<Point> objList = new LinkedList<Point>(); | |
| LinkedList<Point> sceneList = new LinkedList<Point>(); | |
| List<KeyPoint> keypoints_objectList = keypoints1.toList(); | |
| List<KeyPoint> keypoints_sceneList = keypoints2.toList(); | |
| //System.err.println(good_matches2.get(0).distance); | |
| for (int i = 0; i < good_matches2.size(); i++) { | |
| objList.addLast(keypoints_sceneList.get(good_matches2.get(i).trainIdx).pt); | |
| sceneList.addLast(keypoints_objectList.get(good_matches2.get(i).queryIdx).pt); | |
| } | |
| MatOfPoint2f obj = new MatOfPoint2f(); | |
| obj.fromList(objList); | |
| MatOfPoint2f scene = new MatOfPoint2f(); | |
| scene.fromList(sceneList); | |
| Mat hg = Calib3d.findHomography(obj, scene, Calib3d.RANSAC, 3); | |
| Mat obj_corners = new Mat(4, 1, CvType.CV_32FC2); | |
| Mat scene_corners = new Mat(4, 1, CvType.CV_32FC2); | |
| obj_corners.put(0, 0, new double[]{0, 0}); | |
| obj_corners.put(1, 0, new double[]{img2.cols(), 0}); | |
| obj_corners.put(2, 0, new double[]{img2.cols(), img2.rows()}); | |
| obj_corners.put(3, 0, new double[]{0, img2.rows()}); | |
| Core.perspectiveTransform(obj_corners, scene_corners, hg); | |
| // Draw ROI | |
| Imgproc.line(img1, new Point(scene_corners.get(0, 0)), new Point(scene_corners.get(1, 0)), new Scalar(255, 255, 0), 4); | |
| Imgproc.line(img1, new Point(scene_corners.get(1, 0)), new Point(scene_corners.get(2, 0)), new Scalar(255, 255, 0), 4); | |
| Imgproc.line(img1, new Point(scene_corners.get(2, 0)), new Point(scene_corners.get(3, 0)), new Scalar(255, 255, 0), 4); | |
| Imgproc.line(img1, new Point(scene_corners.get(3, 0)), new Point(scene_corners.get(0, 0)), new Scalar(255, 255, 0), 4); | |
| return img1; | |
| }catch(Exception e){ | |
| return frame; | |
| } | |
| } | |
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