Uses of Class
org.bytedeco.javacpp.opencv_core.Size

Packages that use opencv_core.Size

Package	Description
org.bytedeco.javacpp

Uses of opencv_core.Size in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return opencv_core.Size

Modifier and Type	Method and Description
opencv_core.Size	opencv_core.MatSize.apply()
opencv_core.Size	opencv_objdetect.HOGDescriptor.blockSize()
opencv_core.Size	opencv_objdetect.HOGDescriptor.blockStride()
opencv_core.Size	opencv_objdetect.HOGDescriptor.cellSize()
opencv_core.Size	opencv_videostab.TranslationBasedLocalOutlierRejector.cellSize()
opencv_core.Size	opencv_videostab.LpMotionStabilizer.frameSize()
opencv_core.Size	opencv_core.SizeVector.get(long i)
opencv_core.Size	opencv_objdetect.DetectionBasedTracker.IDetector.getMaxObjectSize()
opencv_core.Size	opencv_objdetect.DetectionBasedTracker.IDetector.getMinObjectSize()
opencv_core.Size	opencv_objdetect.BaseCascadeClassifier.getOriginalWindowSize()
opencv_core.Size	opencv_objdetect.CascadeClassifier.getOriginalWindowSize()
static opencv_core.Size	opencv_imgproc.getTextSize(BytePointer text, int fontFace, double fontScale, int thickness, int[] baseLine)
static opencv_core.Size	opencv_imgproc.getTextSize(BytePointer text, int fontFace, double fontScale, int thickness, IntBuffer baseLine)
static opencv_core.Size	opencv_imgproc.getTextSize(BytePointer text, int fontFace, double fontScale, int thickness, IntPointer baseLine) \brief Calculates the width and height of a text string.
static opencv_core.Size	opencv_imgproc.getTextSize(String text, int fontFace, double fontScale, int thickness, int[] baseLine)
static opencv_core.Size	opencv_imgproc.getTextSize(String text, int fontFace, double fontScale, int thickness, IntBuffer baseLine)
static opencv_core.Size	opencv_imgproc.getTextSize(String text, int fontFace, double fontScale, int thickness, IntPointer baseLine)
opencv_core.Size	opencv_imgproc.CLAHE.getTilesGridSize()
opencv_core.Size	opencv_core.Size.height(int height)
opencv_core.Size	opencv_stitching.ImageFeatures.img_size()
opencv_core.Size	opencv_core.Size.position(long position)
opencv_core.Size	opencv_core.Size.put(opencv_core.Size sz)
opencv_core.Size	opencv_core.Rect.size() size (width, height) of the rectangle
opencv_core.Size	opencv_core.Mat.size()
opencv_core.Size	opencv_core.UMat.size()
opencv_core.Size	opencv_core.MatExpr.size()
opencv_core.Size	opencv_core.MatOp.size(opencv_core.MatExpr expr)
opencv_core.Size	opencv_dnn.Blob.size2() Returns cv::Size(cols(), rows())
opencv_core.Size	opencv_core.Size.width(int width)
opencv_core.Size	opencv_objdetect.HOGDescriptor.winSize()
opencv_core.Size	opencv_videostab.PyrLkOptFlowEstimatorBase.winSize()

Methods in org.bytedeco.javacpp with parameters of type opencv_core.Size

Modifier and Type	Method and Description
opencv_objdetect.HOGDescriptor	opencv_objdetect.HOGDescriptor.blockSize(opencv_core.Size blockSize)
opencv_objdetect.HOGDescriptor	opencv_objdetect.HOGDescriptor.blockStride(opencv_core.Size blockStride)
static void	opencv_imgproc.blur(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size ksize)
static void	opencv_imgproc.blur(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size ksize, opencv_core.Point anchor, int borderType) \brief Blurs an image using the normalized box filter.
static void	opencv_imgproc.boxFilter(opencv_core.Mat src, opencv_core.Mat dst, int ddepth, opencv_core.Size ksize)
static void	opencv_imgproc.boxFilter(opencv_core.Mat src, opencv_core.Mat dst, int ddepth, opencv_core.Size ksize, opencv_core.Point anchor, boolean normalize, int borderType) \brief Blurs an image using the box filter.
opencv_core.Rect	opencv_stitching.RotationWarper.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap) \brief Builds the projection maps according to the given camera data.
opencv_core.Rect	opencv_stitching.DetailPlaneWarper.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailSphericalWarper.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailCylindricalWarper.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailPlaneWarperGpu.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailSphericalWarperGpu.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailCylindricalWarperGpu.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailPlaneWarper.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat T, opencv_core.Mat xmap, opencv_core.Mat ymap)
opencv_core.Rect	opencv_stitching.DetailPlaneWarperGpu.buildMaps(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat T, opencv_core.Mat xmap, opencv_core.Mat ymap)
static int	opencv_video.buildOpticalFlowPyramid(opencv_core.Mat img, opencv_core.MatVector pyramid, opencv_core.Size winSize, int maxLevel)
static int	opencv_video.buildOpticalFlowPyramid(opencv_core.Mat img, opencv_core.MatVector pyramid, opencv_core.Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder, int derivBorder, boolean tryReuseInputImage) \brief Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
static void	opencv_video.calcOpticalFlowPyrLK(opencv_core.Mat prevImg, opencv_core.Mat nextImg, opencv_core.Mat prevPts, opencv_core.Mat nextPts, opencv_core.Mat status, opencv_core.Mat err, opencv_core.Size winSize, int maxLevel, opencv_core.TermCriteria criteria, int flags, double minEigThreshold) \brief Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
static double	opencv_calib3d.calibrate(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints, opencv_core.Size image_size, opencv_core.Mat K, opencv_core.Mat D, opencv_core.MatVector rvecs, opencv_core.MatVector tvecs)
static double	opencv_calib3d.calibrate(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints, opencv_core.Size image_size, opencv_core.Mat K, opencv_core.Mat D, opencv_core.MatVector rvecs, opencv_core.MatVector tvecs, int flags, opencv_core.TermCriteria criteria) \brief Performs camera calibaration
static double	opencv_calib3d.calibrateCamera(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints, opencv_core.Size imageSize, opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.MatVector rvecs, opencv_core.MatVector tvecs)
static double	opencv_calib3d.calibrateCamera(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints, opencv_core.Size imageSize, opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.MatVector rvecs, opencv_core.MatVector tvecs, int flags, opencv_core.TermCriteria criteria) \brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
static void	opencv_calib3d.calibrationMatrixValues(opencv_core.Mat cameraMatrix, opencv_core.Size imageSize, double apertureWidth, double apertureHeight, double[] fovx, double[] fovy, double[] focalLength, opencv_core.Point2d principalPoint, double[] aspectRatio)
static void	opencv_calib3d.calibrationMatrixValues(opencv_core.Mat cameraMatrix, opencv_core.Size imageSize, double apertureWidth, double apertureHeight, DoubleBuffer fovx, DoubleBuffer fovy, DoubleBuffer focalLength, opencv_core.Point2d principalPoint, DoubleBuffer aspectRatio)
static void	opencv_calib3d.calibrationMatrixValues(opencv_core.Mat cameraMatrix, opencv_core.Size imageSize, double apertureWidth, double apertureHeight, DoublePointer fovx, DoublePointer fovy, DoublePointer focalLength, opencv_core.Point2d principalPoint, DoublePointer aspectRatio) \brief Computes useful camera characteristics from the camera matrix.
opencv_objdetect.HOGDescriptor	opencv_objdetect.HOGDescriptor.cellSize(opencv_core.Size cellSize)
static boolean	opencv_imgproc.clipLine(opencv_core.Size imgSize, opencv_core.Point pt1, opencv_core.Point pt2) \brief Clips the line against the image rectangle.
int	opencv_imgproc.LineSegmentDetector.compareSegments(opencv_core.Size size, opencv_core.Mat lines1, opencv_core.Mat lines2)
int	opencv_imgproc.LineSegmentDetector.compareSegments(opencv_core.Size size, opencv_core.Mat lines1, opencv_core.Mat lines2, opencv_core.Mat _image) \brief Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
void	opencv_objdetect.HOGDescriptor.compute(opencv_core.Mat img, float[] descriptors, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector locations)
void	opencv_objdetect.HOGDescriptor.compute(opencv_core.Mat img, FloatBuffer descriptors, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector locations)
void	opencv_objdetect.HOGDescriptor.compute(opencv_core.Mat img, FloatPointer descriptors, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector locations)
void	opencv_objdetect.HOGDescriptor.computeGradient(opencv_core.Mat img, opencv_core.Mat grad, opencv_core.Mat angleOfs, opencv_core.Size paddingTL, opencv_core.Size paddingBR)
static void	opencv_imgproc.cornerSubPix(opencv_core.Mat image, opencv_core.Mat corners, opencv_core.Size winSize, opencv_core.Size zeroZone, opencv_core.TermCriteria criteria) \brief Refines the corner locations.
void	opencv_core.Mat.create(opencv_core.Size size, int type) \overload
void	opencv_core.UMat.create(opencv_core.Size size, int type)
void	opencv_core.UMat.create(opencv_core.Size size, int type, int usageFlags)
static opencv_imgproc.CLAHE	opencv_imgproc.createCLAHE(double clipLimit, opencv_core.Size tileGridSize) \} imgproc_shape
static void	opencv_imgproc.createHanningWindow(opencv_core.Mat dst, opencv_core.Size winSize, int type) \brief This function computes a Hanning window coefficients in two dimensions.
void	opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img, opencv_core.PointVector foundLocations, double[] weights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector searchLocations)
void	opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img, opencv_core.PointVector foundLocations, DoubleBuffer weights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector searchLocations)
void	opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img, opencv_core.PointVector foundLocations, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector searchLocations) without found weights output
void	opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img, opencv_core.PointVector foundLocations, DoublePointer weights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, opencv_core.PointVector searchLocations) with found weights output
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, double[] foundWeights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping)
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, DoubleBuffer foundWeights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize) \brief Detects objects of different sizes in the input image.
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping) without found weights output
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, DoublePointer foundWeights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping) with result weights output
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, int[] rejectLevels, double[] levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, int[] numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer rejectLevels, DoubleBuffer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer rejectLevels, DoublePointer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, int[] numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize) \overload
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, int[] rejectLevels, double[] levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer rejectLevels, DoubleBuffer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer rejectLevels, DoublePointer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels) \overload if outputRejectLevels is true returns rejectLevels and levelWeights
void	opencv_objdetect.HOGDescriptor.detectROI(opencv_core.Mat img, opencv_core.PointVector locations, opencv_core.PointVector foundLocations, double[] confidences, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding)
void	opencv_objdetect.HOGDescriptor.detectROI(opencv_core.Mat img, opencv_core.PointVector locations, opencv_core.PointVector foundLocations, DoubleBuffer confidences, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding)
void	opencv_objdetect.HOGDescriptor.detectROI(opencv_core.Mat img, opencv_core.PointVector locations, opencv_core.PointVector foundLocations, DoublePointer confidences, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding) evaluate specified ROI and return confidence value for each location
static void	opencv_calib3d.drawChessboardCorners(opencv_core.Mat image, opencv_core.Size patternSize, opencv_core.Mat corners, boolean patternWasFound) \brief Renders the detected chessboard corners.
static void	opencv_imgproc.ellipse(opencv_core.Mat img, opencv_core.Point center, opencv_core.Size axes, double angle, double startAngle, double endAngle, opencv_core.Scalar color)
static void	opencv_imgproc.ellipse(opencv_core.Mat img, opencv_core.Point center, opencv_core.Size axes, double angle, double startAngle, double endAngle, opencv_core.Scalar color, int thickness, int lineType, int shift) \brief Draws a simple or thick elliptic arc or fills an ellipse sector.
static void	opencv_imgproc.ellipse2Poly(opencv_core.Point center, opencv_core.Size axes, int angle, int arcStart, int arcEnd, int delta, opencv_core.PointVector pts) \brief Approximates an elliptic arc with a polyline.
static opencv_core.Mat	opencv_videostab.ensureInclusionConstraint(opencv_core.Mat M, opencv_core.Size size, float trimRatio)
static void	opencv_calib3d.estimateNewCameraMatrixForUndistortRectify(opencv_core.Mat K, opencv_core.Mat D, opencv_core.Size image_size, opencv_core.Mat R, opencv_core.Mat P)
static void	opencv_calib3d.estimateNewCameraMatrixForUndistortRectify(opencv_core.Mat K, opencv_core.Mat D, opencv_core.Size image_size, opencv_core.Mat R, opencv_core.Mat P, double balance, opencv_core.Size new_size, double fov_scale) \brief Estimates new camera matrix for undistortion or rectification.
static float	opencv_videostab.estimateOptimalTrimRatio(opencv_core.Mat M, opencv_core.Size size)
static opencv_core.MatExpr	opencv_core.Mat.eye(opencv_core.Size size, int type) \overload
static opencv_core.UMat	opencv_core.UMat.eye(opencv_core.Size size, int type)
static boolean	opencv_calib3d.find4QuadCornerSubpix(opencv_core.Mat img, opencv_core.Mat corners, opencv_core.Size region_size) finds subpixel-accurate positions of the chessboard corners
static boolean	opencv_calib3d.findChessboardCorners(opencv_core.Mat image, opencv_core.Size patternSize, opencv_core.Mat corners)
static boolean	opencv_calib3d.findChessboardCorners(opencv_core.Mat image, opencv_core.Size patternSize, opencv_core.Mat corners, int flags) \brief Finds the positions of internal corners of the chessboard.
static boolean	opencv_calib3d.findCirclesGrid(opencv_core.Mat image, opencv_core.Size patternSize, opencv_core.Mat centers)
static boolean	opencv_calib3d.findCirclesGrid(opencv_core.Mat image, opencv_core.Size patternSize, opencv_core.Mat centers, int flags, opencv_features2d.Feature2D blobDetector) \brief Finds centers in the grid of circles.
static void	opencv_imgproc.GaussianBlur(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size ksize, double sigmaX)
static void	opencv_imgproc.GaussianBlur(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size ksize, double sigmaX, double sigmaY, int borderType) \brief Blurs an image using a Gaussian filter.
static opencv_core.Mat	opencv_imgproc.getDefaultNewCameraMatrix(opencv_core.Mat cameraMatrix, opencv_core.Size imgsize, boolean centerPrincipalPoint) \brief Returns the default new camera matrix.
static opencv_core.Mat	opencv_imgproc.getGaborKernel(opencv_core.Size ksize, double sigma, double theta, double lambd, double gamma)
static opencv_core.Mat	opencv_imgproc.getGaborKernel(opencv_core.Size ksize, double sigma, double theta, double lambd, double gamma, double psi, int ktype) \brief Returns Gabor filter coefficients.
static opencv_core.Mat	opencv_calib3d.getOptimalNewCameraMatrix(opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.Size imageSize, double alpha)
static opencv_core.Mat	opencv_calib3d.getOptimalNewCameraMatrix(opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.Size imageSize, double alpha, opencv_core.Size newImgSize, opencv_core.Rect validPixROI, boolean centerPrincipalPoint) \brief Returns the new camera matrix based on the free scaling parameter.
static void	opencv_imgproc.getRectSubPix(opencv_core.Mat image, opencv_core.Size patchSize, opencv_core.Point2f center, opencv_core.Mat patch)
static void	opencv_imgproc.getRectSubPix(opencv_core.Mat image, opencv_core.Size patchSize, opencv_core.Point2f center, opencv_core.Mat patch, int patchType) \brief Retrieves a pixel rectangle from an image with sub-pixel accuracy.
static opencv_core.Mat	opencv_imgproc.getStructuringElement(int shape, opencv_core.Size ksize)
static opencv_core.Mat	opencv_imgproc.getStructuringElement(int shape, opencv_core.Size ksize, opencv_core.Point anchor) \brief Returns a structuring element of the specified size and shape for morphological operations.
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, double[] foundWeights, double[] foundScales, double detectThreshold, opencv_core.Size winDetSize)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, DoubleBuffer foundWeights, DoubleBuffer foundScales, double detectThreshold, opencv_core.Size winDetSize)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, DoublePointer foundWeights, DoublePointer foundScales, double detectThreshold, opencv_core.Size winDetSize) \overload
opencv_stitching.ImageFeatures	opencv_stitching.ImageFeatures.img_size(opencv_core.Size img_size)
static opencv_core.Mat	opencv_calib3d.initCameraMatrix2D(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints, opencv_core.Size imageSize)
static opencv_core.Mat	opencv_calib3d.initCameraMatrix2D(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints, opencv_core.Size imageSize, double aspectRatio) \brief Finds an initial camera matrix from 3D-2D point correspondences.
static void	opencv_imgproc.initUndistortRectifyMap(opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.Mat R, opencv_core.Mat newCameraMatrix, opencv_core.Size size, int m1type, opencv_core.Mat map1, opencv_core.Mat map2) \brief Computes the undistortion and rectification transformation map.
static void	opencv_calib3d.initUndistortRectifyMap(opencv_core.Mat K, opencv_core.Mat D, opencv_core.Mat R, opencv_core.Mat P, opencv_core.Size size, int m1type, opencv_core.Mat map1, opencv_core.Mat map2) \brief Computes undistortion and rectification maps for image transform by cv::remap().
static float	opencv_imgproc.initWideAngleProjMap(opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.Size imageSize, int destImageWidth, int m1type, opencv_core.Mat map1, opencv_core.Mat map2)
static float	opencv_imgproc.initWideAngleProjMap(opencv_core.Mat cameraMatrix, opencv_core.Mat distCoeffs, opencv_core.Size imageSize, int destImageWidth, int m1type, opencv_core.Mat map1, opencv_core.Mat map2, int projType, double alpha) initializes maps for cv::remap() for wide-angle
void	opencv_core.Mat.locateROI(opencv_core.Size wholeSize, opencv_core.Point ofs) \brief Locates the matrix header within a parent matrix.
void	opencv_core.UMat.locateROI(opencv_core.Size wholeSize, opencv_core.Point ofs) locates matrix header within a parent matrix.
static opencv_core.MatExpr	opencv_core.Mat.ones(opencv_core.Size size, int type) \overload
static opencv_core.UMat	opencv_core.UMat.ones(opencv_core.Size size, int type)
boolean	opencv_videoio.VideoWriter.open(BytePointer filename, int fourcc, double fps, opencv_core.Size frameSize)
boolean	opencv_videoio.VideoWriter.open(BytePointer filename, int fourcc, double fps, opencv_core.Size frameSize, boolean isColor) \brief Initializes or reinitializes video writer.
boolean	opencv_videoio.VideoWriter.open(String filename, int fourcc, double fps, opencv_core.Size frameSize)
boolean	opencv_videoio.VideoWriter.open(String filename, int fourcc, double fps, opencv_core.Size frameSize, boolean isColor)
static boolean	opencv_stitching.overlapRoi(opencv_core.Point tl1, opencv_core.Point tl2, opencv_core.Size sz1, opencv_core.Size sz2, opencv_core.Rect roi)
void	opencv_videostab.IOutlierRejector.process(opencv_core.Size frameSize, opencv_core.Mat points0, opencv_core.Mat points1, opencv_core.Mat mask)
void	opencv_videostab.NullOutlierRejector.process(opencv_core.Size frameSize, opencv_core.Mat points0, opencv_core.Mat points1, opencv_core.Mat mask)
void	opencv_videostab.TranslationBasedLocalOutlierRejector.process(opencv_core.Size frameSize, opencv_core.Mat points0, opencv_core.Mat points1, opencv_core.Mat mask)
opencv_core.SizeVector	opencv_core.SizeVector.put(long i, opencv_core.Size value)
opencv_core.SizeVector	opencv_core.SizeVector.put(opencv_core.Size... array)
opencv_core.Size	opencv_core.Size.put(opencv_core.Size sz)
static void	opencv_imgproc.pyrDown(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size dstsize, int borderType) \} imgproc_misc
static void	opencv_imgproc.pyrUp(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size dstsize, int borderType) \brief Upsamples an image and then blurs it.
static float	opencv_calib3d.rectify3Collinear(opencv_core.Mat cameraMatrix1, opencv_core.Mat distCoeffs1, opencv_core.Mat cameraMatrix2, opencv_core.Mat distCoeffs2, opencv_core.Mat cameraMatrix3, opencv_core.Mat distCoeffs3, opencv_core.MatVector imgpt1, opencv_core.MatVector imgpt3, opencv_core.Size imageSize, opencv_core.Mat R12, opencv_core.Mat T12, opencv_core.Mat R13, opencv_core.Mat T13, opencv_core.Mat R1, opencv_core.Mat R2, opencv_core.Mat R3, opencv_core.Mat P1, opencv_core.Mat P2, opencv_core.Mat P3, opencv_core.Mat Q, double alpha, opencv_core.Size newImgSize, opencv_core.Rect roi1, opencv_core.Rect roi2, int flags) computes the rectification transformations for 3-head camera, where all the heads are on the same line.
static void	opencv_imgproc.resize(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size dsize)
static void	opencv_imgproc.resize(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Size dsize, double fx, double fy, int interpolation) \} imgproc_filter
static void	opencv_features2d.KeyPointsFilter.runByImageBorder(opencv_core.KeyPointVector keypoints, opencv_core.Size imageSize, int borderSize)
void	opencv_videostab.TranslationBasedLocalOutlierRejector.setCellSize(opencv_core.Size val)
void	opencv_videostab.LpMotionStabilizer.setFrameSize(opencv_core.Size val)
void	opencv_objdetect.DetectionBasedTracker.IDetector.setMaxObjectSize(opencv_core.Size max)
void	opencv_objdetect.DetectionBasedTracker.IDetector.setMinObjectSize(opencv_core.Size min)
void	opencv_imgproc.CLAHE.setTilesGridSize(opencv_core.Size tileGridSize)
void	opencv_videostab.PyrLkOptFlowEstimatorBase.setWinSize(opencv_core.Size val)
static void	opencv_imgproc.sqrBoxFilter(opencv_core.Mat _src, opencv_core.Mat _dst, int ddepth, opencv_core.Size ksize)
static void	opencv_imgproc.sqrBoxFilter(opencv_core.Mat _src, opencv_core.Mat _dst, int ddepth, opencv_core.Size ksize, opencv_core.Point anchor, boolean normalize, int borderType) \brief Calculates the normalized sum of squares of the pixel values overlapping the filter.
static double	opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints1, opencv_core.MatVector imagePoints2, opencv_core.Mat K1, opencv_core.Mat D1, opencv_core.Mat K2, opencv_core.Mat D2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat T)
static double	opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints1, opencv_core.MatVector imagePoints2, opencv_core.Mat K1, opencv_core.Mat D1, opencv_core.Mat K2, opencv_core.Mat D2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat T, int flags, opencv_core.TermCriteria criteria) \brief Performs stereo calibration
static double	opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints1, opencv_core.MatVector imagePoints2, opencv_core.Mat cameraMatrix1, opencv_core.Mat distCoeffs1, opencv_core.Mat cameraMatrix2, opencv_core.Mat distCoeffs2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat T, opencv_core.Mat E, opencv_core.Mat F)
static double	opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints, opencv_core.MatVector imagePoints1, opencv_core.MatVector imagePoints2, opencv_core.Mat cameraMatrix1, opencv_core.Mat distCoeffs1, opencv_core.Mat cameraMatrix2, opencv_core.Mat distCoeffs2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat T, opencv_core.Mat E, opencv_core.Mat F, int flags, opencv_core.TermCriteria criteria) \brief Calibrates the stereo camera.
static void	opencv_calib3d.stereoRectify(opencv_core.Mat cameraMatrix1, opencv_core.Mat distCoeffs1, opencv_core.Mat cameraMatrix2, opencv_core.Mat distCoeffs2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat T, opencv_core.Mat R1, opencv_core.Mat R2, opencv_core.Mat P1, opencv_core.Mat P2, opencv_core.Mat Q)
static void	opencv_calib3d.stereoRectify(opencv_core.Mat K1, opencv_core.Mat D1, opencv_core.Mat K2, opencv_core.Mat D2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat tvec, opencv_core.Mat R1, opencv_core.Mat R2, opencv_core.Mat P1, opencv_core.Mat P2, opencv_core.Mat Q, int flags)
static void	opencv_calib3d.stereoRectify(opencv_core.Mat cameraMatrix1, opencv_core.Mat distCoeffs1, opencv_core.Mat cameraMatrix2, opencv_core.Mat distCoeffs2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat T, opencv_core.Mat R1, opencv_core.Mat R2, opencv_core.Mat P1, opencv_core.Mat P2, opencv_core.Mat Q, int flags, double alpha, opencv_core.Size newImageSize, opencv_core.Rect validPixROI1, opencv_core.Rect validPixROI2) \brief Computes rectification transforms for each head of a calibrated stereo camera.
static void	opencv_calib3d.stereoRectify(opencv_core.Mat K1, opencv_core.Mat D1, opencv_core.Mat K2, opencv_core.Mat D2, opencv_core.Size imageSize, opencv_core.Mat R, opencv_core.Mat tvec, opencv_core.Mat R1, opencv_core.Mat R2, opencv_core.Mat P1, opencv_core.Mat P2, opencv_core.Mat Q, int flags, opencv_core.Size newImageSize, double balance, double fov_scale) \brief Stereo rectification for fisheye camera model
static boolean	opencv_calib3d.stereoRectifyUncalibrated(opencv_core.Mat points1, opencv_core.Mat points2, opencv_core.Mat F, opencv_core.Size imgSize, opencv_core.Mat H1, opencv_core.Mat H2)
static boolean	opencv_calib3d.stereoRectifyUncalibrated(opencv_core.Mat points1, opencv_core.Mat points2, opencv_core.Mat F, opencv_core.Size imgSize, opencv_core.Mat H1, opencv_core.Mat H2, double threshold) \brief Computes a rectification transform for an uncalibrated stereo camera.
static void	opencv_calib3d.undistortImage(opencv_core.Mat distorted, opencv_core.Mat undistorted, opencv_core.Mat K, opencv_core.Mat D, opencv_core.Mat Knew, opencv_core.Size new_size) \brief Transforms an image to compensate for fisheye lens distortion.
static void	opencv_imgproc.warpAffine(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Mat M, opencv_core.Size dsize)
static void	opencv_imgproc.warpAffine(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Mat M, opencv_core.Size dsize, int flags, int borderMode, opencv_core.Scalar borderValue) \brief Applies an affine transformation to an image.
void	opencv_stitching.RotationWarper.warpBackward(opencv_core.Mat src, opencv_core.Mat K, opencv_core.Mat R, int interp_mode, int border_mode, opencv_core.Size dst_size, opencv_core.Mat dst) \brief Projects the image backward.
static void	opencv_imgproc.warpPerspective(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Mat M, opencv_core.Size dsize)
static void	opencv_imgproc.warpPerspective(opencv_core.Mat src, opencv_core.Mat dst, opencv_core.Mat M, opencv_core.Size dsize, int flags, int borderMode, opencv_core.Scalar borderValue) \brief Applies a perspective transformation to an image.
opencv_core.Rect	opencv_stitching.RotationWarper.warpRoi(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R)
opencv_core.Rect	opencv_stitching.DetailPlaneWarper.warpRoi(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R)
opencv_core.Rect	opencv_stitching.DetailPlaneWarper.warpRoi(opencv_core.Size src_size, opencv_core.Mat K, opencv_core.Mat R, opencv_core.Mat T)
opencv_objdetect.HOGDescriptor	opencv_objdetect.HOGDescriptor.winSize(opencv_core.Size winSize)
static opencv_core.MatExpr	opencv_core.Mat.zeros(opencv_core.Size size, int type) \overload
static opencv_core.UMat	opencv_core.UMat.zeros(opencv_core.Size size, int type)

Constructors in org.bytedeco.javacpp with parameters of type opencv_core.Size

Constructor and Description
opencv_core.Mat(opencv_core.Size size, int type) \overload
opencv_core.Mat(opencv_core.Size size, int type, opencv_core.Scalar s) \overload
opencv_core.Mat(opencv_core.Size size, int type, Pointer data)
opencv_core.Mat(opencv_core.Size size, int type, Pointer data, long step) \overload
opencv_core.Point(opencv_core.Size sz)
opencv_core.Rect(opencv_core.Point org, opencv_core.Size sz)
opencv_core.Size(opencv_core.Size sz)
opencv_core.SizeVector(opencv_core.Size... array)
opencv_core.UMat(opencv_core.Size size, int type)
opencv_core.UMat(opencv_core.Size size, int type, int usageFlags)
opencv_core.UMat(opencv_core.Size size, int type, opencv_core.Scalar s)
opencv_core.UMat(opencv_core.Size size, int type, opencv_core.Scalar s, int usageFlags)
opencv_objdetect.HOGDescriptor(opencv_core.Size _winSize, opencv_core.Size _blockSize, opencv_core.Size _blockStride, opencv_core.Size _cellSize, int _nbins)
opencv_objdetect.HOGDescriptor(opencv_core.Size _winSize, opencv_core.Size _blockSize, opencv_core.Size _blockStride, opencv_core.Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold, boolean _gammaCorrection, int _nlevels, boolean _signedGradient)
opencv_stitching.OrbFeaturesFinder(opencv_core.Size _grid_size, int nfeatures, float scaleFactor, int nlevels)
opencv_videoio.VideoWriter(BytePointer filename, int fourcc, double fps, opencv_core.Size frameSize)
opencv_videoio.VideoWriter(BytePointer filename, int fourcc, double fps, opencv_core.Size frameSize, boolean isColor) \overload
opencv_videoio.VideoWriter(String filename, int fourcc, double fps, opencv_core.Size frameSize)
opencv_videoio.VideoWriter(String filename, int fourcc, double fps, opencv_core.Size frameSize, boolean isColor)