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 cornerSubPix(Mat image, MatOfPoint2f corners, Size winSize, Size zeroZone, TermCriteria criteria) { Mat corners_mat = corners; cornerSubPix_0(image.nativeObj, corners_mat.nativeObj, winSize.width, winSize.height, zeroZone.width, zeroZone.height, criteria.type, criteria.maxCount, criteria.epsilon); return; }
public static double stereoCalibrate(List<Mat> objectPoints, List<Mat> imagePoints1, List<Mat> imagePoints2, Mat K1, Mat D1, Mat K2, Mat D2, Size imageSize, Mat R, Mat T, int flags, TermCriteria criteria) { Mat objectPoints_mat = Converters.vector_Mat_to_Mat(objectPoints); Mat imagePoints1_mat = Converters.vector_Mat_to_Mat(imagePoints1); Mat imagePoints2_mat = Converters.vector_Mat_to_Mat(imagePoints2); double retVal = stereoCalibrate_3(objectPoints_mat.nativeObj, imagePoints1_mat.nativeObj, imagePoints2_mat.nativeObj, K1.nativeObj, D1.nativeObj, K2.nativeObj, D2.nativeObj, imageSize.width, imageSize.height, R.nativeObj, T.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon); return retVal; }
public static double calibrateCameraExtended(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags, TermCriteria criteria) { Mat objectPoints_mat = Converters.vector_Mat_to_Mat(objectPoints); Mat imagePoints_mat = Converters.vector_Mat_to_Mat(imagePoints); Mat rvecs_mat = new Mat(); Mat tvecs_mat = new Mat(); double retVal = calibrateCameraExtended_0(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon); Converters.Mat_to_vector_Mat(rvecs_mat, rvecs); rvecs_mat.release(); Converters.Mat_to_vector_Mat(tvecs_mat, tvecs); tvecs_mat.release(); return retVal; }
public static double calibrate(List<Mat> objectPoints, List<Mat> imagePoints, Size image_size, Mat K, Mat D, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria) { Mat objectPoints_mat = Converters.vector_Mat_to_Mat(objectPoints); Mat imagePoints_mat = Converters.vector_Mat_to_Mat(imagePoints); Mat rvecs_mat = new Mat(); Mat tvecs_mat = new Mat(); double retVal = calibrate_0(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, image_size.width, image_size.height, K.nativeObj, D.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon); Converters.Mat_to_vector_Mat(rvecs_mat, rvecs); rvecs_mat.release(); Converters.Mat_to_vector_Mat(tvecs_mat, tvecs); tvecs_mat.release(); return retVal; }
public static RotatedRect CamShift(Mat probImage, Rect window, TermCriteria criteria) { double[] window_out = new double[4]; RotatedRect retVal = new RotatedRect(CamShift_0(probImage.nativeObj, window.x, window.y, window.width, window.height, window_out, criteria.type, criteria.maxCount, criteria.epsilon)); if(window!=null){ window.x = (int)window_out[0]; window.y = (int)window_out[1]; window.width = (int)window_out[2]; window.height = (int)window_out[3]; } return retVal; }
public static double calibrateCamera(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria) { Mat objectPoints_mat = Converters.vector_Mat_to_Mat(objectPoints); Mat imagePoints_mat = Converters.vector_Mat_to_Mat(imagePoints); Mat rvecs_mat = new Mat(); Mat tvecs_mat = new Mat(); double retVal = calibrateCamera_0(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon); Converters.Mat_to_vector_Mat(rvecs_mat, rvecs); rvecs_mat.release(); Converters.Mat_to_vector_Mat(tvecs_mat, tvecs); tvecs_mat.release(); return retVal; }
public static int meanShift(Mat probImage, Rect window, TermCriteria criteria) { double[] window_out = new double[4]; int retVal = meanShift_0(probImage.nativeObj, window.x, window.y, window.width, window.height, window_out, criteria.type, criteria.maxCount, criteria.epsilon); if(window!=null){ window.x = (int)window_out[0]; window.y = (int)window_out[1]; window.width = (int)window_out[2]; window.height = (int)window_out[3]; } return retVal; }
public static double calibrateCameraArucoExtended(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags, TermCriteria criteria) { Mat corners_mat = Converters.vector_Mat_to_Mat(corners); Mat rvecs_mat = new Mat(); Mat tvecs_mat = new Mat(); double retVal = calibrateCameraArucoExtended_0(corners_mat.nativeObj, ids.nativeObj, counter.nativeObj, board.nativeObj, imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon); Converters.Mat_to_vector_Mat(rvecs_mat, rvecs); rvecs_mat.release(); Converters.Mat_to_vector_Mat(tvecs_mat, tvecs); tvecs_mat.release(); return retVal; }
public static double stereoCalibrate(List<Mat> objectPoints, List<Mat> imagePoints1, List<Mat> imagePoints2, Mat cameraMatrix1, Mat distCoeffs1, Mat cameraMatrix2, Mat distCoeffs2, Size imageSize, Mat R, Mat T, Mat E, Mat F, int flags, TermCriteria criteria) { Mat objectPoints_mat = Converters.vector_Mat_to_Mat(objectPoints); Mat imagePoints1_mat = Converters.vector_Mat_to_Mat(imagePoints1); Mat imagePoints2_mat = Converters.vector_Mat_to_Mat(imagePoints2); double retVal = stereoCalibrate_0(objectPoints_mat.nativeObj, imagePoints1_mat.nativeObj, imagePoints2_mat.nativeObj, cameraMatrix1.nativeObj, distCoeffs1.nativeObj, cameraMatrix2.nativeObj, distCoeffs2.nativeObj, imageSize.width, imageSize.height, R.nativeObj, T.nativeObj, E.nativeObj, F.nativeObj, flags, criteria.type, criteria.maxCount, criteria.epsilon); return retVal; }
public LKParams(int winSizeX, int winSizeY, int maxLevel, TermCriteria criteria) { this.winSizeX = winSizeX; this.winSizeY = winSizeY; this.maxLevel = maxLevel; this.criteria = criteria; }
public TermCriteria getTermCriteria() { TermCriteria retVal = new TermCriteria(getTermCriteria_0(nativeObj)); return retVal; }
public void setTermCriteria(TermCriteria val) { setTermCriteria_0(nativeObj, val.type, val.maxCount, val.epsilon); return; }
public TermCriteria get_term_crit() { TermCriteria retVal = new TermCriteria(get_term_crit_0(nativeObj)); return retVal; }
public static SparsePyrLKOpticalFlow create(Size winSize, int maxLevel, TermCriteria crit, int flags, double minEigThreshold) { SparsePyrLKOpticalFlow retVal = new SparsePyrLKOpticalFlow(create_0(winSize.width, winSize.height, maxLevel, crit.type, crit.maxCount, crit.epsilon, flags, minEigThreshold)); return retVal; }
