Java Converters类代码示例

import org.opencv.utils.Converters; //导入依赖的package包/类
public static void mixChannels(List<Mat> src, List<Mat> dst, MatOfInt fromTo)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
    Mat fromTo_mat = fromTo;
    mixChannels_0(src_mat.nativeObj, dst_mat.nativeObj, fromTo_mat.nativeObj);
    
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
public static void denoise_TVL1(List<Mat> observations, Mat result, double lambda, int niters)
{
    Mat observations_mat = Converters.vector_Mat_to_Mat(observations);
    denoise_TVL1_0(observations_mat.nativeObj, result.nativeObj, lambda, niters);
    
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
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_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, maxDistance, masks_mat.nativeObj, compactResult);
    Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
    matches_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
public  void detect(List<Mat> images, List<MatOfKeyPoint> keypoints, List<Mat> masks)
{
    Mat images_mat = Converters.vector_Mat_to_Mat(images);
    Mat keypoints_mat = new Mat();
    Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
    detect_2(nativeObj, images_mat.nativeObj, keypoints_mat.nativeObj, masks_mat.nativeObj);
    Converters.Mat_to_vector_vector_KeyPoint(keypoints_mat, keypoints);
    keypoints_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
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;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
public  void process(List<Mat> src, Mat dst)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    process_1(nativeObj, src_mat.nativeObj, dst.nativeObj);
    
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
public  void process(List<Mat> src, List<Mat> dst, Mat times, Mat response)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    Mat dst_mat = Converters.vector_Mat_to_Mat(dst);
    process_0(nativeObj, src_mat.nativeObj, dst_mat.nativeObj, times.nativeObj, response.nativeObj);
    
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
public  void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k)
{
    Mat matches_mat = new Mat();
    knnMatch_3(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k);
    Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
    matches_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的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, 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;
}
 

import org.opencv.utils.Converters; //导入依赖的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; //导入依赖的package包/类
public static void polylines(Mat img, List<MatOfPoint> pts, boolean isClosed, Scalar color, int thickness, int lineType, int shift)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    polylines_0(img.nativeObj, pts_mat.nativeObj, isClosed, color.val[0], color.val[1], color.val[2], color.val[3], thickness, lineType, shift);
    
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的package包/类
public  void knnMatch(Mat queryDescriptors, List<MatOfDMatch> matches, int k, List<Mat> masks, boolean compactResult)
{
    Mat matches_mat = new Mat();
    Mat masks_mat = Converters.vector_Mat_to_Mat(masks);
    knnMatch_2(nativeObj, queryDescriptors.nativeObj, matches_mat.nativeObj, k, masks_mat.nativeObj, compactResult);
    Converters.Mat_to_vector_vector_DMatch(matches_mat, matches);
    matches_mat.release();
    return;
}
 

import org.opencv.utils.Converters; //导入依赖的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; //导入依赖的package包/类
public  void process(List<Mat> src, Mat dst, Mat times)
{
    Mat src_mat = Converters.vector_Mat_to_Mat(src);
    process_1(nativeObj, src_mat.nativeObj, dst.nativeObj, times.nativeObj);
    
    return;
}