Java Size類代碼示例

import org.opencv.core.Size; //導入依賴的package包/類
/**
 * This helper method can be called by subclasses to select camera preview size.
 * It goes over the list of the supported preview sizes and selects the maximum one which
 * fits both values set via setMaxFrameSize() and surface frame allocated for this view
 * @param supportedSizes
 * @param surfaceWidth
 * @param surfaceHeight
 * @return optimal frame size
 */
protected Size calculateCameraFrameSize(List<?> supportedSizes, ListItemAccessor accessor, int surfaceWidth, int surfaceHeight) {
    int calcWidth = 0;
    int calcHeight = 0;

    int maxAllowedWidth = (mMaxWidth != MAX_UNSPECIFIED && mMaxWidth < surfaceWidth)? mMaxWidth : surfaceWidth;
    int maxAllowedHeight = (mMaxHeight != MAX_UNSPECIFIED && mMaxHeight < surfaceHeight)? mMaxHeight : surfaceHeight;

    for (Object size : supportedSizes) {
        int width = accessor.getWidth(size);
        int height = accessor.getHeight(size);

        if (width <= maxAllowedWidth && height <= maxAllowedHeight) {
            if (width >= calcWidth && height >= calcHeight) {
                calcWidth = (int) width;
                calcHeight = (int) height;
            }
        }
    }

    return new Size(calcWidth, calcHeight);
}
 

import org.opencv.core.Size; //導入依賴的package包/類
/**
 * Scales an image to an approximate size. The scale will always be equal
 * on the x and y axis, regardless of the approxSize.
 *
 * @param img          The image
 * @param approxSize   The target size
 * @param maximize     If maximize is true, then if the approxSize aspect ratio
 *                     does not match the target, then the largest possible image
 *                     would be used. If false (default), the the smallest image
 *                     would be used.
 * @param integerScale If true (default), then only integer scale factors would be used.
 *                     Otherwise, any scale factor can be used.
 */
private static double makeScale(Mat img, Size approxSize, boolean maximize, boolean integerScale) {
    Size imageSize = img.size();
    double ratioWidth = approxSize.width / imageSize.width;
    double ratioHeight = approxSize.height / imageSize.height;
    double ratio = maximize ? Math.max(ratioWidth, ratioHeight) : Math.min(ratioWidth, ratioHeight);
    if (MathUtil.equal(ratio, 1))
        return 1;
    if (integerScale) {
        //The scale factor is always greater than 1
        double scale = (ratio < 1) ? 1 / ratio : ratio;
        //If you are actually increasing the size of the object, use ceiling()
        //Otherwise, use floor()
        scale = maximize ^ (ratio < 1) ? Math.ceil(scale) : Math.floor(scale);
        //Get the actual ratio again
        return (ratio < 1) ? 1 / scale : scale;
    } else {
        return ratio;
    }
}
 

import org.opencv.core.Size; //導入依賴的package包/類
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;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
public static int buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel)
{
    Mat pyramid_mat = new Mat();
    int retVal = buildOpticalFlowPyramid_1(img.nativeObj, pyramid_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    Converters.Mat_to_vector_Mat(pyramid_mat, pyramid);
    pyramid_mat.release();
    return retVal;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
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;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
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.core.Size; //導入依賴的package包/類
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;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
public static void ellipse2Poly(Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, MatOfPoint pts)
{
    Mat pts_mat = pts;
    ellipse2Poly_0(center.x, center.y, axes.width, axes.height, angle, arcStart, arcEnd, delta, pts_mat.nativeObj);
    
    return;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
public  void detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
{
    Mat objects_mat = objects;
    Mat numDetections_mat = numDetections;
    detectMultiScale2_0(nativeObj, image.nativeObj, objects_mat.nativeObj, numDetections_mat.nativeObj, scaleFactor, minNeighbors, flags, minSize.width, minSize.height, maxSize.width, maxSize.height);
    
    return;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
public static Mat getOptimalNewCameraMatrix(Mat cameraMatrix, Mat distCoeffs, Size imageSize, double alpha, Size newImgSize, Rect validPixROI, boolean centerPrincipalPoint)
{
    double[] validPixROI_out = new double[4];
    Mat retVal = new Mat(getOptimalNewCameraMatrix_0(cameraMatrix.nativeObj, distCoeffs.nativeObj, imageSize.width, imageSize.height, alpha, newImgSize.width, newImgSize.height, validPixROI_out, centerPrincipalPoint));
    if(validPixROI!=null){ validPixROI.x = (int)validPixROI_out[0]; validPixROI.y = (int)validPixROI_out[1]; validPixROI.width = (int)validPixROI_out[2]; validPixROI.height = (int)validPixROI_out[3]; } 
    return retVal;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
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.core.Size; //導入依賴的package包/類
public static void drawChessboardCorners(Mat image, Size patternSize, MatOfPoint2f corners, boolean patternWasFound)
{
    Mat corners_mat = corners;
    drawChessboardCorners_0(image.nativeObj, patternSize.width, patternSize.height, corners_mat.nativeObj, patternWasFound);
    
    return;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
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)
{
    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_2(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);
    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.core.Size; //導入依賴的package包/類
public static void stereoRectify(Mat cameraMatrix1, Mat distCoeffs1, Mat cameraMatrix2, Mat distCoeffs2, Size imageSize, Mat R, Mat T, Mat R1, Mat R2, Mat P1, Mat P2, Mat Q, int flags, double alpha, Size newImageSize, Rect validPixROI1, Rect validPixROI2)
{
    double[] validPixROI1_out = new double[4];
    double[] validPixROI2_out = new double[4];
    stereoRectify_0(cameraMatrix1.nativeObj, distCoeffs1.nativeObj, cameraMatrix2.nativeObj, distCoeffs2.nativeObj, imageSize.width, imageSize.height, R.nativeObj, T.nativeObj, R1.nativeObj, R2.nativeObj, P1.nativeObj, P2.nativeObj, Q.nativeObj, flags, alpha, newImageSize.width, newImageSize.height, validPixROI1_out, validPixROI2_out);
    if(validPixROI1!=null){ validPixROI1.x = (int)validPixROI1_out[0]; validPixROI1.y = (int)validPixROI1_out[1]; validPixROI1.width = (int)validPixROI1_out[2]; validPixROI1.height = (int)validPixROI1_out[3]; } 
    if(validPixROI2!=null){ validPixROI2.x = (int)validPixROI2_out[0]; validPixROI2.y = (int)validPixROI2_out[1]; validPixROI2.width = (int)validPixROI2_out[2]; validPixROI2.height = (int)validPixROI2_out[3]; } 
    return;
}
 

import org.opencv.core.Size; //導入依賴的package包/類
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)
{
    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_1(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);
    
    return retVal;
}