/** * Display image in a frame * * @param title * @param img */ public static void imshow(String title, Mat img) { // Convert image Mat to a jpeg MatOfByte imageBytes = new MatOfByte(); Highgui.imencode(".jpg", img, imageBytes); try { // Put the jpeg bytes into a JFrame window and show. JFrame frame = new JFrame(title); frame.getContentPane().add(new JLabel(new ImageIcon(ImageIO.read(new ByteArrayInputStream(imageBytes.toArray()))))); frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); frame.pack(); frame.setVisible(true); frame.setLocation(30 + (windowNo*20), 30 + (windowNo*20)); windowNo++; } catch (Exception e) { e.printStackTrace(); } }
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags) { Mat keypoints1_mat = keypoints1; Mat keypoints2_mat = keypoints2; Mat matches1to2_mat = matches1to2; Mat matchesMask_mat = matchesMask; drawMatches_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags); return; }
public static boolean imencode(String ext, Mat img, MatOfByte buf) { Mat buf_mat = buf; boolean retVal = imencode_1(ext, img.nativeObj, buf_mat.nativeObj); return retVal; }
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel) { Mat prevPts_mat = prevPts; Mat nextPts_mat = nextPts; Mat status_mat = status; Mat err_mat = err; calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel); return; }
public static boolean imencode(String ext, Mat img, MatOfByte buf, MatOfInt params) { Mat buf_mat = buf; Mat params_mat = params; boolean retVal = imencode_0(ext, img.nativeObj, buf_mat.nativeObj, params_mat.nativeObj); return retVal; }
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags) { Mat keypoints1_mat = keypoints1; Mat keypoints2_mat = keypoints2; List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0); Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm); List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0); Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm); drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags); return; }
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err) { Mat prevPts_mat = prevPts; Mat nextPts_mat = nextPts; Mat status_mat = status; Mat err_mat = err; calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj); return; }
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold) { Mat prevPts_mat = prevPts; Mat nextPts_mat = nextPts; Mat status_mat = status; Mat err_mat = err; calcOpticalFlowPyrLK_0(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold); return; }
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags) { Mat keypoints1_mat = keypoints1; Mat keypoints2_mat = keypoints2; List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0); Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm); List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0); Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm); drawMatchesKnn_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags); return; }
/** * Convert a Mat object (OpenCV) in the corresponding Image for JavaFX * * @param frame * the {@link Mat} representing the current frame * @return the {@link Image} to show */ private Image mat2Image(Mat frame) { // create a temporary buffer MatOfByte buffer = new MatOfByte(); // encode the frame in the buffer, according to the PNG format Imgcodecs.imencode(".png", frame, buffer); // build and return an Image created from the image encoded in the // buffer return new Image(new ByteArrayInputStream(buffer.toArray())); }
