Java Code Examples for org.opencv.utils.Converters#vector_Mat_to_Mat()

public static double calibrateCameraCharucoExtended(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat perViewErrors, int flags)
{
    Mat charucoCorners_mat = Converters.vector_Mat_to_Mat(charucoCorners);
    Mat charucoIds_mat = Converters.vector_Mat_to_Mat(charucoIds);
    Mat rvecs_mat = new Mat();
    Mat tvecs_mat = new Mat();
    double retVal = calibrateCameraCharucoExtended_1(charucoCorners_mat.nativeObj, charucoIds_mat.nativeObj, board.getNativeObjAddr(), imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, stdDeviationsIntrinsics.nativeObj, stdDeviationsExtrinsics.nativeObj, perViewErrors.nativeObj, flags);
    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 void calcBackProject(List<Mat> images, MatOfInt channels, Mat hist, Mat dst, MatOfFloat ranges, double scale)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat channels_mat = channels;
    Mat ranges_mat = ranges;
    calcBackProject_0(images_mat.nativeObj, channels_mat.nativeObj, hist.nativeObj, dst.nativeObj, ranges_mat.nativeObj, scale);
    
    return;
}
 

public static float rectify3Collinear(Mat cameraMatrix1, Mat distCoeffs1, Mat cameraMatrix2, Mat distCoeffs2, Mat cameraMatrix3, Mat distCoeffs3, List<Mat> imgpt1, List<Mat> imgpt3, Size imageSize, Mat R12, Mat T12, Mat R13, Mat T13, Mat R1, Mat R2, Mat R3, Mat P1, Mat P2, Mat P3, Mat Q, double alpha, Size newImgSize, Rect roi1, Rect roi2, int flags)
{
    Mat imgpt1_mat = Converters.vector_Mat_to_Mat(imgpt1);
    Mat imgpt3_mat = Converters.vector_Mat_to_Mat(imgpt3);
    double[] roi1_out = new double[4];
    double[] roi2_out = new double[4];
    float retVal = rectify3Collinear_0(cameraMatrix1.nativeObj, distCoeffs1.nativeObj, cameraMatrix2.nativeObj, distCoeffs2.nativeObj, cameraMatrix3.nativeObj, distCoeffs3.nativeObj, imgpt1_mat.nativeObj, imgpt3_mat.nativeObj, imageSize.width, imageSize.height, R12.nativeObj, T12.nativeObj, R13.nativeObj, T13.nativeObj, R1.nativeObj, R2.nativeObj, R3.nativeObj, P1.nativeObj, P2.nativeObj, P3.nativeObj, Q.nativeObj, alpha, newImgSize.width, newImgSize.height, roi1_out, roi2_out, flags);
    if(roi1!=null){ roi1.x = (int)roi1_out[0]; roi1.y = (int)roi1_out[1]; roi1.width = (int)roi1_out[2]; roi1.height = (int)roi1_out[3]; } 
    if(roi2!=null){ roi2.x = (int)roi2_out[0]; roi2.y = (int)roi2_out[1]; roi2.width = (int)roi2_out[2]; roi2.height = (int)roi2_out[3]; } 
    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)
{
    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_2(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, image_size.width, image_size.height, K.nativeObj, D.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj);
    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 void detectCharucoDiamond(Mat image, List<Mat> markerCorners, Mat markerIds, float squareMarkerLengthRate, List<Mat> diamondCorners, Mat diamondIds, Mat cameraMatrix, Mat distCoeffs)
{
    Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
    Mat diamondCorners_mat = new Mat();
    detectCharucoDiamond_0(image.nativeObj, markerCorners_mat.nativeObj, markerIds.nativeObj, squareMarkerLengthRate, diamondCorners_mat.nativeObj, diamondIds.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj);
    Converters.Mat_to_vector_Mat(diamondCorners_mat, diamondCorners);
    diamondCorners_mat.release();
    return;
}
 

public  void process(List<Mat> src, Mat dst, Mat times, Mat response)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    process_0(nativeObj, src_mat.nativeObj, dst.nativeObj, times.nativeObj, response.nativeObj);
    
    return;
}
 

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  void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
    Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
    Mat descriptors_mat = new Mat();
    compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
    Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
    keypoints_mat.release();
    Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
    descriptors_mat.release();
    return;
}
 

public static double calibrateCamera(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)
{
    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_1(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj, flags);
    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 void vconcat(List<Mat> src, Mat dst)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    vconcat_0(src_mat.nativeObj, dst.nativeObj);
    
    return;
}
 

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 Mat blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat retVal = new Mat(blobFromImages_3(images_mat.nativeObj, scalefactor, size.width, size.height, mean.val[0], mean.val[1], mean.val[2], mean.val[3]));
    
    return retVal;
}
 

public  void match(Mat queryDescriptors, MatOfDMatch matches, List<Mat> masks)
{
    Mat matches_mat = matches;
    Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
    match_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, masks_mat.nativeObj);
    
    return;
}
 

public static double calibrateCamera(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs)
{
    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_2(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, imageSize.width, imageSize.height, cameraMatrix.nativeObj, distCoeffs.nativeObj, rvecs_mat.nativeObj, tvecs_mat.nativeObj);
    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  void compute(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> descriptors)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    List<Mat> keypoints_tmplm = new ArrayList<Mat>((keypoints != null) ? keypoints.size() : 0);
    Mat keypoints_mat = Converters.vector_vector_KeyPoint_to_Mat(keypoints, keypoints_tmplm);
    Mat descriptors_mat = new Mat();
    compute_1(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, descriptors_mat.nativeObj);
    Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
    keypoints_mat.release();
    Converters.Mat_to_vector_Mat(descriptors_mat, descriptors);
    descriptors_mat.release();
    return;
}
 

public  void radiusMatch(Mat queryDescriptors, List<MatOfDMatch> matches, float maxDistance, List<Mat> masks, boolean compactResult)
{
    Mat matches_mat = new Mat();
    Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
    radiusMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj, compactResult);
    Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
    matches_mat.release();
    return;
}
 

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 static void fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h)
{
    Mat srcImgs_mat = Converters.vector_Mat_to_Mat(srcImgs);
    Mat h_mat = h;
    fastNlMeansDenoisingMulti_3(srcImgs_mat.nativeObj, dst.nativeObj, imgToDenoiseIndex, temporalWindowSize, h_mat.nativeObj);
    
    return;
}
 

public static void detectCharucoDiamond(Mat image, List<Mat> markerCorners, Mat markerIds, float squareMarkerLengthRate, List<Mat> diamondCorners, Mat diamondIds, Mat cameraMatrix, Mat distCoeffs)
{
    Mat markerCorners_mat = Converters.vector_Mat_to_Mat(markerCorners);
    Mat diamondCorners_mat = new Mat();
    detectCharucoDiamond_0(image.nativeObj, markerCorners_mat.nativeObj, markerIds.nativeObj, squareMarkerLengthRate, diamondCorners_mat.nativeObj, diamondIds.nativeObj, cameraMatrix.nativeObj, distCoeffs.nativeObj);
    Converters.Mat_to_vector_Mat(diamondCorners_mat, diamondCorners);
    diamondCorners_mat.release();
    return;
}