Java Converters.Mat_to_vector_Mat方法代码示例

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public  void finalize(List<Mat> inputs, List<Mat> outputs)
{
    Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
    Mat outputs_mat = new Mat();
    finalize_1(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj);
    Converters.Mat_to_vector_Mat(outputs_mat, outputs);
    outputs_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public static int buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder, int derivBorder, boolean tryReuseInputImage)
{
    Mat pyramid_mat = new Mat();
    int retVal = buildOpticalFlowPyramid_0(img.nativeObj, pyramid_mat.nativeObj, winSize.width, winSize.height, maxLevel, withDerivatives, pyrBorder, derivBorder, tryReuseInputImage);
    Converters.Mat_to_vector_Mat(pyramid_mat, pyramid);
    pyramid_mat.release();
    return retVal;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public  List<Mat> getDescriptors()
{
    List<Mat> retVal = new ArrayList<Mat>();
    Mat retValMat = new Mat(getDescriptors_0(nativeObj));
    Converters.Mat_to_vector_Mat(retValMat, retVal);
    return retVal;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public  void forward(List<Mat> inputs, List<Mat> outputs, List<Mat> internals)
{
    Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
    Mat outputs_mat = Converters.vector_Mat_to_Mat(outputs);
    Mat internals_mat = Converters.vector_Mat_to_Mat(internals);
    forward_0(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj, internals_mat.nativeObj);
    Converters.Mat_to_vector_Mat(outputs_mat, outputs);
    outputs_mat.release();
    Converters.Mat_to_vector_Mat(internals_mat, internals);
    internals_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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)
{
    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_1(objectPoints_mat.nativeObj, imagePoints_mat.nativeObj, image_size.width, image_size.height, K.nativeObj, D.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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public static int solveP3P(Mat objectPoints, Mat imagePoints, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)
{
    Mat rvecs_mat = new Mat();
    Mat tvecs_mat = new Mat();
    int retVal = solveP3P_0(objectPoints.nativeObj, imagePoints.nativeObj, 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;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
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)
{
    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_1(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);
    Converters.Mat_to_vector_Mat(rvecs_mat, rvecs);
    rvecs_mat.release();
    Converters.Mat_to_vector_Mat(tvecs_mat, tvecs);
    tvecs_mat.release();
    return retVal;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public  List<Mat> getTrainDescriptors()
{
    List<Mat> retVal = new ArrayList<Mat>();
    Mat retValMat = new Mat(getTrainDescriptors_0(nativeObj));
    Converters.Mat_to_vector_Mat(retValMat, retVal);
    return retVal;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public  void getCovs(List<Mat> covs)
{
    Mat covs_mat = new Mat();
    getCovs_0(nativeObj, covs_mat.nativeObj);
    Converters.Mat_to_vector_Mat(covs_mat, covs);
    covs_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入方法依赖的package包/类
public  void run(List<Mat> inputs, List<Mat> outputs, List<Mat> internals)
{
    Mat inputs_mat = Converters.vector_Mat_to_Mat(inputs);
    Mat outputs_mat = new Mat();
    Mat internals_mat = Converters.vector_Mat_to_Mat(internals);
    run_0(nativeObj, inputs_mat.nativeObj, outputs_mat.nativeObj, internals_mat.nativeObj);
    Converters.Mat_to_vector_Mat(outputs_mat, outputs);
    outputs_mat.release();
    Converters.Mat_to_vector_Mat(internals_mat, internals);
    internals_mat.release();
    return;
}