Uses of Class org.opencv.core.Size (AistCV 4.5.3 API)

Packages that use Size
Package	Description
org.opencv.aruco
org.opencv.bioinspired
org.opencv.calib3d
org.opencv.core
org.opencv.dnn
org.opencv.highgui
org.opencv.imgproc
org.opencv.objdetect
org.opencv.structured_light
org.opencv.video
org.opencv.videoio
org.opencv.xfeatures2d

Uses of Size in org.opencv.aruco

Methods in org.opencv.aruco that return Size
Modifier and Type	Method	Description
`Size`	CharucoBoard.`getChessboardSize()`
`Size`	GridBoard.`getGridSize()`

Methods in org.opencv.aruco with parameters of type Size
Modifier and Type	Method	Description
`static double`	Aruco.`calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs)`	It's the same function as #calibrateCameraAruco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs)`	It's the same function as #calibrateCameraAruco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs)`	It's the same function as #calibrateCameraAruco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)`	It's the same function as #calibrateCameraAruco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraAruco(List<Mat> corners, Mat ids, Mat counter, Board board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria)`	It's the same function as #calibrateCameraAruco but without calibration error estimation.
`static double`	Aruco.`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)`	Calibrate a camera using aruco markers
`static double`	Aruco.`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)`	Calibrate a camera using aruco markers
`static double`	Aruco.`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)`	Calibrate a camera using aruco markers
`static double`	Aruco.`calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs)`	It's the same function as #calibrateCameraCharuco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs)`	It's the same function as #calibrateCameraCharuco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs)`	It's the same function as #calibrateCameraCharuco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)`	It's the same function as #calibrateCameraCharuco but without calibration error estimation.
`static double`	Aruco.`calibrateCameraCharuco(List<Mat> charucoCorners, List<Mat> charucoIds, CharucoBoard board, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria)`	It's the same function as #calibrateCameraCharuco but without calibration error estimation.
`static double`	Aruco.`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)`	Calibrate a camera using Charuco corners
`static double`	Aruco.`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)`	Calibrate a camera using Charuco corners
`static double`	Aruco.`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, TermCriteria criteria)`	Calibrate a camera using Charuco corners
`void`	CharucoBoard.`draw(Size outSize, Mat img)`	Draw a ChArUco board
`void`	CharucoBoard.`draw(Size outSize, Mat img, int marginSize)`	Draw a ChArUco board
`void`	CharucoBoard.`draw(Size outSize, Mat img, int marginSize, int borderBits)`	Draw a ChArUco board
`void`	GridBoard.`draw(Size outSize, Mat img)`	Draw a GridBoard
`void`	GridBoard.`draw(Size outSize, Mat img, int marginSize)`	Draw a GridBoard
`void`	GridBoard.`draw(Size outSize, Mat img, int marginSize, int borderBits)`	Draw a GridBoard
`static void`	Aruco.`drawPlanarBoard(Board board, Size outSize, Mat img)`	Draw a planar board SEE: _drawPlanarBoardImpl
`static void`	Aruco.`drawPlanarBoard(Board board, Size outSize, Mat img, int marginSize)`	Draw a planar board SEE: _drawPlanarBoardImpl
`static void`	Aruco.`drawPlanarBoard(Board board, Size outSize, Mat img, int marginSize, int borderBits)`	Draw a planar board SEE: _drawPlanarBoardImpl

Uses of Size in org.opencv.bioinspired

Methods in org.opencv.bioinspired that return Size
Modifier and Type	Method	Description
`Size`	Retina.`getInputSize()`	Retreive retina input buffer size
`Size`	Retina.`getOutputSize()`	Retreive retina output buffer size that can be different from the input if a spatial log transformation is applied
`Size`	TransientAreasSegmentationModule.`getSize()`	return the sze of the manage input and output images

Methods in org.opencv.bioinspired with parameters of type Size
Modifier and Type	Method	Description
`static Retina`	Retina.`create(Size inputSize)`
`static Retina`	Retina.`create(Size inputSize, boolean colorMode)`	Constructors from standardized interfaces : retreive a smart pointer to a Retina instance
`static Retina`	Retina.`create(Size inputSize, boolean colorMode, int colorSamplingMethod)`	Constructors from standardized interfaces : retreive a smart pointer to a Retina instance
`static Retina`	Retina.`create(Size inputSize, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling)`	Constructors from standardized interfaces : retreive a smart pointer to a Retina instance
`static Retina`	Retina.`create(Size inputSize, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling, float reductionFactor)`	Constructors from standardized interfaces : retreive a smart pointer to a Retina instance
`static Retina`	Retina.`create(Size inputSize, boolean colorMode, int colorSamplingMethod, boolean useRetinaLogSampling, float reductionFactor, float samplingStrength)`	Constructors from standardized interfaces : retreive a smart pointer to a Retina instance
`static RetinaFastToneMapping`	RetinaFastToneMapping.`create(Size inputSize)`
`static TransientAreasSegmentationModule`	TransientAreasSegmentationModule.`create(Size inputSize)`	allocator

Uses of Size in org.opencv.calib3d

Methods in org.opencv.calib3d with parameters of type Size
Modifier and Type	Method	Description
`static double`	Calib3d.`calibrateCamera(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs)`
`static double`	Calib3d.`calibrateCamera(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags)`
`static double`	Calib3d.`calibrateCamera(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria)`
`static double`	Calib3d.`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)`	Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
`static double`	Calib3d.`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)`	Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
`static double`	Calib3d.`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, TermCriteria criteria)`	Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
`static double`	Calib3d.`calibrateCameraRO(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, int iFixedPoint, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat newObjPoints)`
`static double`	Calib3d.`calibrateCameraRO(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, int iFixedPoint, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat newObjPoints, int flags)`
`static double`	Calib3d.`calibrateCameraRO(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, int iFixedPoint, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat newObjPoints, int flags, TermCriteria criteria)`
`static double`	Calib3d.`calibrateCameraROExtended(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, int iFixedPoint, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat newObjPoints, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat stdDeviationsObjPoints, Mat perViewErrors)`	Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
`static double`	Calib3d.`calibrateCameraROExtended(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, int iFixedPoint, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat newObjPoints, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat stdDeviationsObjPoints, Mat perViewErrors, int flags)`	Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
`static double`	Calib3d.`calibrateCameraROExtended(List<Mat> objectPoints, List<Mat> imagePoints, Size imageSize, int iFixedPoint, Mat cameraMatrix, Mat distCoeffs, List<Mat> rvecs, List<Mat> tvecs, Mat newObjPoints, Mat stdDeviationsIntrinsics, Mat stdDeviationsExtrinsics, Mat stdDeviationsObjPoints, Mat perViewErrors, int flags, TermCriteria criteria)`	Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
`static void`	Calib3d.`calibrationMatrixValues(Mat cameraMatrix, Size imageSize, double apertureWidth, double apertureHeight, double[] fovx, double[] fovy, double[] focalLength, Point principalPoint, double[] aspectRatio)`	Computes useful camera characteristics from the camera intrinsic matrix.
`static boolean`	Calib3d.`checkChessboard(Mat img, Size size)`
`static void`	Calib3d.`drawChessboardCorners(Mat image, Size patternSize, MatOfPoint2f corners, boolean patternWasFound)`	Renders the detected chessboard corners.
`static Scalar`	Calib3d.`estimateChessboardSharpness(Mat image, Size patternSize, Mat corners)`	Estimates the sharpness of a detected chessboard.
`static Scalar`	Calib3d.`estimateChessboardSharpness(Mat image, Size patternSize, Mat corners, float rise_distance)`	Estimates the sharpness of a detected chessboard.
`static Scalar`	Calib3d.`estimateChessboardSharpness(Mat image, Size patternSize, Mat corners, float rise_distance, boolean vertical)`	Estimates the sharpness of a detected chessboard.
`static Scalar`	Calib3d.`estimateChessboardSharpness(Mat image, Size patternSize, Mat corners, float rise_distance, boolean vertical, Mat sharpness)`	Estimates the sharpness of a detected chessboard.
`static boolean`	Calib3d.`find4QuadCornerSubpix(Mat img, Mat corners, Size region_size)`
`static boolean`	Calib3d.`findChessboardCorners(Mat image, Size patternSize, MatOfPoint2f corners)`	Finds the positions of internal corners of the chessboard.
`static boolean`	Calib3d.`findChessboardCorners(Mat image, Size patternSize, MatOfPoint2f corners, int flags)`	Finds the positions of internal corners of the chessboard.
`static boolean`	Calib3d.`findChessboardCornersSB(Mat image, Size patternSize, Mat corners)`
`static boolean`	Calib3d.`findChessboardCornersSB(Mat image, Size patternSize, Mat corners, int flags)`
`static boolean`	Calib3d.`findChessboardCornersSBWithMeta(Mat image, Size patternSize, Mat corners, int flags, Mat meta)`	Finds the positions of internal corners of the chessboard using a sector based approach.
`static boolean`	Calib3d.`findCirclesGrid(Mat image, Size patternSize, Mat centers)`
`static boolean`	Calib3d.`findCirclesGrid(Mat image, Size patternSize, Mat centers, int flags)`
`static double`	Calib3d.`fisheye_calibrate(List<Mat> objectPoints, List<Mat> imagePoints, Size image_size, Mat K, Mat D, List<Mat> rvecs, List<Mat> tvecs)`	Performs camera calibaration
`static double`	Calib3d.`fisheye_calibrate(List<Mat> objectPoints, List<Mat> imagePoints, Size image_size, Mat K, Mat D, List<Mat> rvecs, List<Mat> tvecs, int flags)`	Performs camera calibaration
`static double`	Calib3d.`fisheye_calibrate(List<Mat> objectPoints, List<Mat> imagePoints, Size image_size, Mat K, Mat D, List<Mat> rvecs, List<Mat> tvecs, int flags, TermCriteria criteria)`	Performs camera calibaration
`static void`	Calib3d.`fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K, Mat D, Size image_size, Mat R, Mat P)`	Estimates new camera intrinsic matrix for undistortion or rectification.
`static void`	Calib3d.`fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K, Mat D, Size image_size, Mat R, Mat P, double balance)`	Estimates new camera intrinsic matrix for undistortion or rectification.
`static void`	Calib3d.`fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K, Mat D, Size image_size, Mat R, Mat P, double balance, Size new_size)`	Estimates new camera intrinsic matrix for undistortion or rectification.
`static void`	Calib3d.`fisheye_estimateNewCameraMatrixForUndistortRectify(Mat K, Mat D, Size image_size, Mat R, Mat P, double balance, Size new_size, double fov_scale)`	Estimates new camera intrinsic matrix for undistortion or rectification.
`static void`	Calib3d.`fisheye_initUndistortRectifyMap(Mat K, Mat D, Mat R, Mat P, Size size, int m1type, Mat map1, Mat map2)`	Computes undistortion and rectification maps for image transform by #remap.
`static double`	Calib3d.`fisheye_stereoCalibrate(List<Mat> objectPoints, List<Mat> imagePoints1, List<Mat> imagePoints2, Mat K1, Mat D1, Mat K2, Mat D2, Size imageSize, Mat R, Mat T)`	Performs stereo calibration
`static double`	Calib3d.`fisheye_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)`	Performs stereo calibration
`static double`	Calib3d.`fisheye_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)`	Performs stereo calibration
`static void`	Calib3d.`fisheye_stereoRectify(Mat K1, Mat D1, Mat K2, Mat D2, Size imageSize, Mat R, Mat tvec, Mat R1, Mat R2, Mat P1, Mat P2, Mat Q, int flags)`	Stereo rectification for fisheye camera model
`static void`	Calib3d.`fisheye_stereoRectify(Mat K1, Mat D1, Mat K2, Mat D2, Size imageSize, Mat R, Mat tvec, Mat R1, Mat R2, Mat P1, Mat P2, Mat Q, int flags, Size newImageSize)`	Stereo rectification for fisheye camera model
`static void`	Calib3d.`fisheye_stereoRectify(Mat K1, Mat D1, Mat K2, Mat D2, Size imageSize, Mat R, Mat tvec, Mat R1, Mat R2, Mat P1, Mat P2, Mat Q, int flags, Size newImageSize, double balance)`	Stereo rectification for fisheye camera model
`static void`	Calib3d.`fisheye_stereoRectify(Mat K1, Mat D1, Mat K2, Mat D2, Size imageSize, Mat R, Mat tvec, Mat R1, Mat R2, Mat P1, Mat P2, Mat Q, int flags, Size newImageSize, double balance, double fov_scale)`	Stereo rectification for fisheye camera model
`static void`	Calib3d.`fisheye_undistortImage(Mat distorted, Mat undistorted, Mat K, Mat D, Mat Knew, Size new_size)`	Transforms an image to compensate for fisheye lens distortion.
`static Mat`	Calib3d.`getDefaultNewCameraMatrix(Mat cameraMatrix, Size imgsize)`	Returns the default new camera matrix.
`static Mat`	Calib3d.`getDefaultNewCameraMatrix(Mat cameraMatrix, Size imgsize, boolean centerPrincipalPoint)`	Returns the default new camera matrix.
`static Mat`	Calib3d.`getOptimalNewCameraMatrix(Mat cameraMatrix, Mat distCoeffs, Size imageSize, double alpha)`	Returns the new camera intrinsic matrix based on the free scaling parameter.
`static Mat`	Calib3d.`getOptimalNewCameraMatrix(Mat cameraMatrix, Mat distCoeffs, Size imageSize, double alpha, Size newImgSize)`	Returns the new camera intrinsic matrix based on the free scaling parameter.
`static Mat`	Calib3d.`getOptimalNewCameraMatrix(Mat cameraMatrix, Mat distCoeffs, Size imageSize, double alpha, Size newImgSize, Rect validPixROI)`	Returns the new camera intrinsic matrix based on the free scaling parameter.
`static Mat`	Calib3d.`getOptimalNewCameraMatrix(Mat cameraMatrix, Mat distCoeffs, Size imageSize, double alpha, Size newImgSize, Rect validPixROI, boolean centerPrincipalPoint)`	Returns the new camera intrinsic matrix based on the free scaling parameter.
`static Mat`	Calib3d.`initCameraMatrix2D(List<MatOfPoint3f> objectPoints, List<MatOfPoint2f> imagePoints, Size imageSize)`	Finds an initial camera intrinsic matrix from 3D-2D point correspondences.
`static Mat`	Calib3d.`initCameraMatrix2D(List<MatOfPoint3f> objectPoints, List<MatOfPoint2f> imagePoints, Size imageSize, double aspectRatio)`	Finds an initial camera intrinsic matrix from 3D-2D point correspondences.
`static void`	Calib3d.`initInverseRectificationMap(Mat cameraMatrix, Mat distCoeffs, Mat R, Mat newCameraMatrix, Size size, int m1type, Mat map1, Mat map2)`	Computes the projection and inverse-rectification transformation map.
`static void`	Calib3d.`initUndistortRectifyMap(Mat cameraMatrix, Mat distCoeffs, Mat R, Mat newCameraMatrix, Size size, int m1type, Mat map1, Mat map2)`	Computes the undistortion and rectification transformation map.
`static float`	Calib3d.`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)`
`static double`	Calib3d.`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)`
`static double`	Calib3d.`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)`
`static double`	Calib3d.`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)`
`static double`	Calib3d.`stereoCalibrateExtended(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, Mat perViewErrors)`	Calibrates a stereo camera set up.
`static double`	Calib3d.`stereoCalibrateExtended(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, Mat perViewErrors, int flags)`	Calibrates a stereo camera set up.
`static double`	Calib3d.`stereoCalibrateExtended(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, Mat perViewErrors, int flags, TermCriteria criteria)`	Calibrates a stereo camera set up.
`static void`	Calib3d.`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)`	Computes rectification transforms for each head of a calibrated stereo camera.
`static void`	Calib3d.`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)`	Computes rectification transforms for each head of a calibrated stereo camera.
`static void`	Calib3d.`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)`	Computes rectification transforms for each head of a calibrated stereo camera.
`static void`	Calib3d.`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)`	Computes rectification transforms for each head of a calibrated stereo camera.
`static void`	Calib3d.`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)`	Computes rectification transforms for each head of a calibrated stereo camera.
`static void`	Calib3d.`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)`	Computes rectification transforms for each head of a calibrated stereo camera.
`static boolean`	Calib3d.`stereoRectifyUncalibrated(Mat points1, Mat points2, Mat F, Size imgSize, Mat H1, Mat H2)`	Computes a rectification transform for an uncalibrated stereo camera.
`static boolean`	Calib3d.`stereoRectifyUncalibrated(Mat points1, Mat points2, Mat F, Size imgSize, Mat H1, Mat H2, double threshold)`	Computes a rectification transform for an uncalibrated stereo camera.

Uses of Size in org.opencv.core

Fields in org.opencv.core declared as Size
Modifier and Type	Field	Description
`Size`	RotatedRect.`size`

Methods in org.opencv.core that return Size
Modifier and Type	Method	Description
`Size`	Size.`clone()`
`Size`	Mat.`size()`
`Size`	Rect.`size()`
`Size`	Rect2d.`size()`

Methods in org.opencv.core with parameters of type Size
Modifier and Type	Method	Description
`void`	Mat.`create(Size size, int type)`
`static Mat`	Mat.`eye(Size size, int type)`
`void`	Mat.`locateROI(Size wholeSize, Point ofs)`
`static Mat`	Mat.`ones(Size size, int type)`
`static Mat`	Mat.`zeros(Size size, int type)`

Constructors in org.opencv.core with parameters of type Size
Constructor	Description
`Mat(Size size, int type)`
`Mat(Size size, int type, Scalar s)`
`Rect(Point p, Size s)`
`Rect2d(Point p, Size s)`
`RotatedRect(Point c, Size s, double a)`

Uses of Size in org.opencv.dnn

Methods in org.opencv.dnn with parameters of type Size
Modifier and Type	Method	Description
`static Mat`	Dnn.`blobFromImage(Mat image, double scalefactor, Size size)`	Creates 4-dimensional blob from image.
`static Mat`	Dnn.`blobFromImage(Mat image, double scalefactor, Size size, Scalar mean)`	Creates 4-dimensional blob from image.
`static Mat`	Dnn.`blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB)`	Creates 4-dimensional blob from image.
`static Mat`	Dnn.`blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop)`	Creates 4-dimensional blob from image.
`static Mat`	Dnn.`blobFromImage(Mat image, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop, int ddepth)`	Creates 4-dimensional blob from image.
`static Mat`	Dnn.`blobFromImages(List<Mat> images, double scalefactor, Size size)`	Creates 4-dimensional blob from series of images.
`static Mat`	Dnn.`blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean)`	Creates 4-dimensional blob from series of images.
`static Mat`	Dnn.`blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB)`	Creates 4-dimensional blob from series of images.
`static Mat`	Dnn.`blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop)`	Creates 4-dimensional blob from series of images.
`static Mat`	Dnn.`blobFromImages(List<Mat> images, double scalefactor, Size size, Scalar mean, boolean swapRB, boolean crop, int ddepth)`	Creates 4-dimensional blob from series of images.
`void`	Model.`setInputParams(double scale, Size size)`	Set preprocessing parameters for frame.
`void`	Model.`setInputParams(double scale, Size size, Scalar mean)`	Set preprocessing parameters for frame.
`void`	Model.`setInputParams(double scale, Size size, Scalar mean, boolean swapRB)`	Set preprocessing parameters for frame.
`void`	Model.`setInputParams(double scale, Size size, Scalar mean, boolean swapRB, boolean crop)`	Set preprocessing parameters for frame.
`Model`	Model.`setInputSize(Size size)`	Set input size for frame.

Uses of Size in org.opencv.highgui

Methods in org.opencv.highgui that return Size
Modifier and Type	Method	Description
`static Size`	ImageWindow.`keepAspectRatioSize(int original_width, int original_height, int bound_width, int bound_height)`

Uses of Size in org.opencv.imgproc

Methods in org.opencv.imgproc that return Size
Modifier and Type	Method	Description
`static Size`	Imgproc.`getTextSize(String text, int fontFace, double fontScale, int thickness, int[] baseLine)`
`Size`	CLAHE.`getTilesGridSize()`

Methods in org.opencv.imgproc with parameters of type Size
Modifier and Type	Method	Description
`static void`	Imgproc.`blur(Mat src, Mat dst, Size ksize)`	Blurs an image using the normalized box filter.
`static void`	Imgproc.`blur(Mat src, Mat dst, Size ksize, Point anchor)`	Blurs an image using the normalized box filter.
`static void`	Imgproc.`blur(Mat src, Mat dst, Size ksize, Point anchor, int borderType)`	Blurs an image using the normalized box filter.
`static void`	Imgproc.`boxFilter(Mat src, Mat dst, int ddepth, Size ksize)`	Blurs an image using the box filter.
`static void`	Imgproc.`boxFilter(Mat src, Mat dst, int ddepth, Size ksize, Point anchor)`	Blurs an image using the box filter.
`static void`	Imgproc.`boxFilter(Mat src, Mat dst, int ddepth, Size ksize, Point anchor, boolean normalize)`	Blurs an image using the box filter.
`static void`	Imgproc.`boxFilter(Mat src, Mat dst, int ddepth, Size ksize, Point anchor, boolean normalize, int borderType)`	Blurs an image using the box filter.
`int`	LineSegmentDetector.`compareSegments(Size size, Mat lines1, Mat lines2)`	Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
`int`	LineSegmentDetector.`compareSegments(Size size, Mat lines1, Mat lines2, Mat image)`	Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.
`static void`	Imgproc.`cornerSubPix(Mat image, Mat corners, Size winSize, Size zeroZone, TermCriteria criteria)`	Refines the corner locations.
`static CLAHE`	Imgproc.`createCLAHE(double clipLimit, Size tileGridSize)`	Creates a smart pointer to a cv::CLAHE class and initializes it.
`static void`	Imgproc.`createHanningWindow(Mat dst, Size winSize, int type)`	This function computes a Hanning window coefficients in two dimensions.
`static void`	Imgproc.`ellipse(Mat img, Point center, Size axes, double angle, double startAngle, double endAngle, Scalar color)`	Draws a simple or thick elliptic arc or fills an ellipse sector.
`static void`	Imgproc.`ellipse(Mat img, Point center, Size axes, double angle, double startAngle, double endAngle, Scalar color, int thickness)`	Draws a simple or thick elliptic arc or fills an ellipse sector.
`static void`	Imgproc.`ellipse(Mat img, Point center, Size axes, double angle, double startAngle, double endAngle, Scalar color, int thickness, int lineType)`	Draws a simple or thick elliptic arc or fills an ellipse sector.
`static void`	Imgproc.`ellipse(Mat img, Point center, Size axes, double angle, double startAngle, double endAngle, Scalar color, int thickness, int lineType, int shift)`	Draws a simple or thick elliptic arc or fills an ellipse sector.
`static void`	Imgproc.`ellipse2Poly(Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, MatOfPoint pts)`	Approximates an elliptic arc with a polyline.
`static void`	Imgproc.`GaussianBlur(Mat src, Mat dst, Size ksize, double sigmaX)`	Blurs an image using a Gaussian filter.
`static void`	Imgproc.`GaussianBlur(Mat src, Mat dst, Size ksize, double sigmaX, double sigmaY)`	Blurs an image using a Gaussian filter.
`static void`	Imgproc.`GaussianBlur(Mat src, Mat dst, Size ksize, double sigmaX, double sigmaY, int borderType)`	Blurs an image using a Gaussian filter.
`static Mat`	Imgproc.`getGaborKernel(Size ksize, double sigma, double theta, double lambd, double gamma)`	Returns Gabor filter coefficients.
`static Mat`	Imgproc.`getGaborKernel(Size ksize, double sigma, double theta, double lambd, double gamma, double psi)`	Returns Gabor filter coefficients.
`static Mat`	Imgproc.`getGaborKernel(Size ksize, double sigma, double theta, double lambd, double gamma, double psi, int ktype)`	Returns Gabor filter coefficients.
`static void`	Imgproc.`getRectSubPix(Mat image, Size patchSize, Point center, Mat patch)`	Retrieves a pixel rectangle from an image with sub-pixel accuracy.
`static void`	Imgproc.`getRectSubPix(Mat image, Size patchSize, Point center, Mat patch, int patchType)`	Retrieves a pixel rectangle from an image with sub-pixel accuracy.
`static Mat`	Imgproc.`getStructuringElement(int shape, Size ksize)`	Returns a structuring element of the specified size and shape for morphological operations.
`static Mat`	Imgproc.`getStructuringElement(int shape, Size ksize, Point anchor)`	Returns a structuring element of the specified size and shape for morphological operations.
`static void`	Imgproc.`pyrDown(Mat src, Mat dst, Size dstsize)`	Blurs an image and downsamples it.
`static void`	Imgproc.`pyrDown(Mat src, Mat dst, Size dstsize, int borderType)`	Blurs an image and downsamples it.
`static void`	Imgproc.`pyrUp(Mat src, Mat dst, Size dstsize)`	Upsamples an image and then blurs it.
`static void`	Imgproc.`pyrUp(Mat src, Mat dst, Size dstsize, int borderType)`	Upsamples an image and then blurs it.
`static void`	Imgproc.`resize(Mat src, Mat dst, Size dsize)`	Resizes an image.
`static void`	Imgproc.`resize(Mat src, Mat dst, Size dsize, double fx)`	Resizes an image.
`static void`	Imgproc.`resize(Mat src, Mat dst, Size dsize, double fx, double fy)`	Resizes an image.
`static void`	Imgproc.`resize(Mat src, Mat dst, Size dsize, double fx, double fy, int interpolation)`	Resizes an image.
`void`	CLAHE.`setTilesGridSize(Size tileGridSize)`	Sets size of grid for histogram equalization.
`static void`	Imgproc.`sqrBoxFilter(Mat src, Mat dst, int ddepth, Size ksize)`	Calculates the normalized sum of squares of the pixel values overlapping the filter.
`static void`	Imgproc.`sqrBoxFilter(Mat src, Mat dst, int ddepth, Size ksize, Point anchor)`	Calculates the normalized sum of squares of the pixel values overlapping the filter.
`static void`	Imgproc.`sqrBoxFilter(Mat src, Mat dst, int ddepth, Size ksize, Point anchor, boolean normalize)`	Calculates the normalized sum of squares of the pixel values overlapping the filter.
`static void`	Imgproc.`sqrBoxFilter(Mat src, Mat dst, int ddepth, Size ksize, Point anchor, boolean normalize, int borderType)`	Calculates the normalized sum of squares of the pixel values overlapping the filter.
`static void`	Imgproc.`warpAffine(Mat src, Mat dst, Mat M, Size dsize)`	Applies an affine transformation to an image.
`static void`	Imgproc.`warpAffine(Mat src, Mat dst, Mat M, Size dsize, int flags)`	Applies an affine transformation to an image.
`static void`	Imgproc.`warpAffine(Mat src, Mat dst, Mat M, Size dsize, int flags, int borderMode)`	Applies an affine transformation to an image.
`static void`	Imgproc.`warpAffine(Mat src, Mat dst, Mat M, Size dsize, int flags, int borderMode, Scalar borderValue)`	Applies an affine transformation to an image.
`static void`	Imgproc.`warpPerspective(Mat src, Mat dst, Mat M, Size dsize)`	Applies a perspective transformation to an image.
`static void`	Imgproc.`warpPerspective(Mat src, Mat dst, Mat M, Size dsize, int flags)`	Applies a perspective transformation to an image.
`static void`	Imgproc.`warpPerspective(Mat src, Mat dst, Mat M, Size dsize, int flags, int borderMode)`	Applies a perspective transformation to an image.
`static void`	Imgproc.`warpPerspective(Mat src, Mat dst, Mat M, Size dsize, int flags, int borderMode, Scalar borderValue)`	Applies a perspective transformation to an image.
`static void`	Imgproc.`warpPolar(Mat src, Mat dst, Size dsize, Point center, double maxRadius, int flags)`	Remaps an image to polar or semilog-polar coordinates space polar_remaps_reference_image ![Polar remaps reference](pics/polar_remap_doc.png) Transform the source image using the following transformation: \( dst(\rho , \phi ) = src(x,y) \) where \( \begin{array}{l} \vec{I} = (x - center.x, \;y - center.y) \\ \phi = Kangle \cdot \texttt{angle} (\vec{I}) \\ \rho = \left\{\begin{matrix} Klin \cdot \texttt{magnitude} (\vec{I}) & default \\ Klog \cdot log_e(\texttt{magnitude} (\vec{I})) & if \; semilog \\ \end{matrix}\right.

Uses of Size in org.opencv.objdetect

Methods in org.opencv.objdetect that return Size
Modifier and Type	Method	Description
`Size`	HOGDescriptor.`get_blockSize()`
`Size`	HOGDescriptor.`get_blockStride()`
`Size`	HOGDescriptor.`get_cellSize()`
`Size`	HOGDescriptor.`get_winSize()`
`Size`	CascadeClassifier.`getOriginalWindowSize()`

Methods in org.opencv.objdetect with parameters of type Size
Modifier and Type	Method	Description
`void`	HOGDescriptor.`compute(Mat img, MatOfFloat descriptors, Size winStride)`	Computes HOG descriptors of given image.
`void`	HOGDescriptor.`compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding)`	Computes HOG descriptors of given image.
`void`	HOGDescriptor.`compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)`	Computes HOG descriptors of given image.
`void`	HOGDescriptor.`computeGradient(Mat img, Mat grad, Mat angleOfs, Size paddingTL)`	Computes gradients and quantized gradient orientations.
`void`	HOGDescriptor.`computeGradient(Mat img, Mat grad, Mat angleOfs, Size paddingTL, Size paddingBR)`	Computes gradients and quantized gradient orientations.
`void`	HOGDescriptor.`detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride)`	Performs object detection without a multi-scale window.
`void`	HOGDescriptor.`detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding)`	Performs object detection without a multi-scale window.
`void`	HOGDescriptor.`detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding, MatOfPoint searchLocations)`	Performs object detection without a multi-scale window.
`void`	CascadeClassifier.`detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize)`	Detects objects of different sizes in the input image.
`void`	CascadeClassifier.`detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)`	Detects objects of different sizes in the input image.
`void`	HOGDescriptor.`detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride)`	Detects objects of different sizes in the input image.
`void`	HOGDescriptor.`detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding)`	Detects objects of different sizes in the input image.
`void`	HOGDescriptor.`detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale)`	Detects objects of different sizes in the input image.
`void`	HOGDescriptor.`detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold)`	Detects objects of different sizes in the input image.
`void`	HOGDescriptor.`detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping)`	Detects objects of different sizes in the input image.
`void`	CascadeClassifier.`detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize)`
`void`	CascadeClassifier.`detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)`
`void`	CascadeClassifier.`detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize)`	This function allows you to retrieve the final stage decision certainty of classification.
`void`	CascadeClassifier.`detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)`	This function allows you to retrieve the final stage decision certainty of classification.
`void`	CascadeClassifier.`detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, boolean outputRejectLevels)`	This function allows you to retrieve the final stage decision certainty of classification.

Constructors in org.opencv.objdetect with parameters of type Size
Constructor	Description
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold, boolean _gammaCorrection)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold, boolean _gammaCorrection, int _nlevels)`
`HOGDescriptor(Size _winSize, Size _blockSize, Size _blockStride, Size _cellSize, int _nbins, int _derivAperture, double _winSigma, int _histogramNormType, double _L2HysThreshold, boolean _gammaCorrection, int _nlevels, boolean _signedGradient)`

Uses of Size in org.opencv.structured_light

Methods in org.opencv.structured_light with parameters of type Size
Modifier and Type	Method	Description
`void`	SinusoidalPattern.`unwrapPhaseMap(Mat wrappedPhaseMap, Mat unwrappedPhaseMap, Size camSize)`	Unwrap the wrapped phase map to remove phase ambiguities.
`void`	SinusoidalPattern.`unwrapPhaseMap(Mat wrappedPhaseMap, Mat unwrappedPhaseMap, Size camSize, Mat shadowMask)`	Unwrap the wrapped phase map to remove phase ambiguities.

Uses of Size in org.opencv.video

Methods in org.opencv.video that return Size
Modifier and Type	Method	Description
`Size`	SparsePyrLKOpticalFlow.`getWinSize()`

Methods in org.opencv.video with parameters of type Size
Modifier and Type	Method	Description
`static int`	Video.`buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel)`	Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
`static int`	Video.`buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives)`	Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
`static int`	Video.`buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder)`	Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
`static int`	Video.`buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder, int derivBorder)`	Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
`static int`	Video.`buildOpticalFlowPyramid(Mat img, List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder, int derivBorder, boolean tryReuseInputImage)`	Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
`static void`	Video.`calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize)`	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
`static void`	Video.`calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)`	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
`static void`	Video.`calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria)`	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
`static void`	Video.`calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags)`	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
`static void`	Video.`calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)`	Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
`static SparsePyrLKOpticalFlow`	SparsePyrLKOpticalFlow.`create(Size winSize)`
`static SparsePyrLKOpticalFlow`	SparsePyrLKOpticalFlow.`create(Size winSize, int maxLevel)`
`static SparsePyrLKOpticalFlow`	SparsePyrLKOpticalFlow.`create(Size winSize, int maxLevel, TermCriteria crit)`
`static SparsePyrLKOpticalFlow`	SparsePyrLKOpticalFlow.`create(Size winSize, int maxLevel, TermCriteria crit, int flags)`
`static SparsePyrLKOpticalFlow`	SparsePyrLKOpticalFlow.`create(Size winSize, int maxLevel, TermCriteria crit, int flags, double minEigThreshold)`
`void`	SparsePyrLKOpticalFlow.`setWinSize(Size winSize)`

Uses of Size in org.opencv.videoio

Methods in org.opencv.videoio with parameters of type Size
Modifier and Type	Method	Description
`boolean`	VideoWriter.`open(String filename, int fourcc, double fps, Size frameSize)`	Initializes or reinitializes video writer.
`boolean`	VideoWriter.`open(String filename, int fourcc, double fps, Size frameSize, boolean isColor)`	Initializes or reinitializes video writer.
`boolean`	VideoWriter.`open(String filename, int fourcc, double fps, Size frameSize, MatOfInt params)`
`boolean`	VideoWriter.`open(String filename, int apiPreference, int fourcc, double fps, Size frameSize)`
`boolean`	VideoWriter.`open(String filename, int apiPreference, int fourcc, double fps, Size frameSize, boolean isColor)`
`boolean`	VideoWriter.`open(String filename, int apiPreference, int fourcc, double fps, Size frameSize, MatOfInt params)`

Constructors in org.opencv.videoio with parameters of type Size
Constructor	Description
`VideoWriter(String filename, int fourcc, double fps, Size frameSize)`
`VideoWriter(String filename, int fourcc, double fps, Size frameSize, boolean isColor)`
`VideoWriter(String filename, int fourcc, double fps, Size frameSize, MatOfInt params)`	The `params` parameter allows to specify extra encoder parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...
`VideoWriter(String filename, int apiPreference, int fourcc, double fps, Size frameSize)`	The `apiPreference` parameter allows to specify API backends to use.
`VideoWriter(String filename, int apiPreference, int fourcc, double fps, Size frameSize, boolean isColor)`	The `apiPreference` parameter allows to specify API backends to use.
`VideoWriter(String filename, int apiPreference, int fourcc, double fps, Size frameSize, MatOfInt params)`

Uses of Size in org.opencv.xfeatures2d

Methods in org.opencv.xfeatures2d with parameters of type Size
Modifier and Type	Method	Description
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS, boolean withRotation)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS, boolean withRotation, boolean withScale)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .
`static void`	Xfeatures2d.`matchGMS(Size size1, Size size2, MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, MatOfDMatch matchesGMS, boolean withRotation, boolean withScale, double thresholdFactor)`	GMS (Grid-based Motion Statistics) feature matching strategy described in CITE: Bian2017gms .

Uses of Classorg.opencv.core.Size

Uses of Size in org.opencv.aruco

Uses of Size in org.opencv.bioinspired

Uses of Size in org.opencv.calib3d

Uses of Size in org.opencv.core

Uses of Size in org.opencv.dnn

Uses of Size in org.opencv.highgui

Uses of Size in org.opencv.imgproc

Uses of Size in org.opencv.objdetect

Uses of Size in org.opencv.structured_light

Uses of Size in org.opencv.video

Uses of Size in org.opencv.videoio

Uses of Size in org.opencv.xfeatures2d

Uses of Class
org.opencv.core.Size