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

Packages that use opencv_core.Rect

Package	Description
org.bytedeco.javacpp

Uses of opencv_core.Rect in org.bytedeco.javacpp

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

Modifier and Type	Method and Description
opencv_core.Rect	opencv_core.RotatedRect.boundingRect() returns the minimal up-right rectangle containing the rotated rectangle
static opencv_core.Rect	opencv_imgproc.boundingRect(opencv_core.Mat points) \brief Calculates the up-right bounding rectangle of a point set.
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)
opencv_core.Rect	opencv_stitching.FeatherBlender.createWeightMaps(opencv_core.UMatVector masks, opencv_core.PointVector corners, opencv_core.UMatVector weight_maps) Creates weight maps for fixed set of source images by their masks and top-left corners.
opencv_core.Rect	opencv_core.RectVector.get(long i)
opencv_core.Rect	opencv_ximgproc.DisparityWLSFilter.getROI() \brief Get the ROI used in the last filter call
opencv_core.Rect	opencv_calib3d.StereoBM.getROI1()
opencv_core.Rect	opencv_calib3d.StereoBM.getROI2()
static opencv_core.Rect	opencv_calib3d.getValidDisparityROI(opencv_core.Rect roi1, opencv_core.Rect roi2, int minDisparity, int numberOfDisparities, int SADWindowSize) computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())
opencv_core.Rect	opencv_core.Rect.height(int height)
opencv_core.Rect	opencv_objdetect.DetectionBasedTracker.ExtObject.location()
opencv_core.Rect	opencv_core.Rect.position(long position)
opencv_core.Rect	opencv_core.Rect.put(opencv_core.Rect r)
static opencv_core.Rect	opencv_stitching.resultRoi(opencv_core.PointVector corners, opencv_core.SizeVector sizes)
static opencv_core.Rect	opencv_stitching.resultRoi(opencv_core.PointVector corners, opencv_core.UMatVector images)
static opencv_core.Rect	opencv_stitching.resultRoiIntersection(opencv_core.PointVector corners, opencv_core.SizeVector sizes)
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_core.Rect	opencv_core.Rect.width(int width)
opencv_core.Rect	opencv_core.Rect.x(int x)
opencv_core.Rect	opencv_core.Rect.y(int y)

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

Modifier and Type	Method and Description
int	opencv_objdetect.DetectionBasedTracker.addObject(opencv_core.Rect location)
opencv_core.Mat	opencv_core.Mat.apply(opencv_core.Rect roi) \overload
opencv_core.UMat	opencv_core.UMat.apply(opencv_core.Rect roi)
opencv_core.MatExpr	opencv_core.MatExpr.apply(opencv_core.Rect roi)
boolean	opencv_objdetect.SimilarRects.apply(opencv_core.Rect r1, opencv_core.Rect r2)
static opencv_core.RotatedRect	opencv_video.CamShift(opencv_core.Mat probImage, opencv_core.Rect window, opencv_core.TermCriteria criteria) \brief Finds an object center, size, and orientation.
static boolean	opencv_imgproc.clipLine(opencv_core.Rect imgRect, opencv_core.Point pt1, opencv_core.Point pt2) \overload
void	opencv_xfeatures2d.DAISY.compute(opencv_core.Mat image, opencv_core.Rect roi, opencv_core.Mat descriptors) \overload
static double	opencv_ximgproc.computeBadPixelPercent(opencv_core.Mat GT, opencv_core.Mat src, opencv_core.Rect ROI)
static double	opencv_ximgproc.computeBadPixelPercent(opencv_core.Mat GT, opencv_core.Mat src, opencv_core.Rect ROI, int thresh) \brief Function for computing the percent of "bad" pixels in the disparity map (pixels where error is higher than a specified threshold)
static double	opencv_ximgproc.computeMSE(opencv_core.Mat GT, opencv_core.Mat src, opencv_core.Rect ROI) \brief Function for computing mean square error for disparity maps
void	opencv_ximgproc.DisparityFilter.filter(opencv_core.Mat disparity_map_left, opencv_core.Mat left_view, opencv_core.Mat filtered_disparity_map, opencv_core.Mat disparity_map_right, opencv_core.Rect ROI, opencv_core.Mat right_view) \brief Apply filtering to the disparity map.
static int	opencv_imgproc.floodFill(opencv_core.Mat image, opencv_core.Mat mask, opencv_core.Point seedPoint, opencv_core.Scalar newVal, opencv_core.Rect rect, opencv_core.Scalar loDiff, opencv_core.Scalar upDiff, int flags) \brief Fills a connected component with the given color.
static int	opencv_imgproc.floodFill(opencv_core.Mat image, opencv_core.Point seedPoint, opencv_core.Scalar newVal, opencv_core.Rect rect, opencv_core.Scalar loDiff, opencv_core.Scalar upDiff, int flags) \overload
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 opencv_core.Rect	opencv_calib3d.getValidDisparityROI(opencv_core.Rect roi1, opencv_core.Rect roi2, int minDisparity, int numberOfDisparities, int SADWindowSize) computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())
static void	opencv_imgproc.grabCut(opencv_core.Mat img, opencv_core.Mat mask, opencv_core.Rect rect, opencv_core.Mat bgdModel, opencv_core.Mat fgdModel, int iterCount)
static void	opencv_imgproc.grabCut(opencv_core.Mat img, opencv_core.Mat mask, opencv_core.Rect rect, opencv_core.Mat bgdModel, opencv_core.Mat fgdModel, int iterCount, int mode) \brief Runs the GrabCut algorithm.
void	opencv_imgproc.Subdiv2D.initDelaunay(opencv_core.Rect rect)
boolean	opencv_core.Point.inside(opencv_core.Rect r) checks whether the point is inside the specified rectangle
opencv_objdetect.DetectionBasedTracker.ExtObject	opencv_objdetect.DetectionBasedTracker.ExtObject.location(opencv_core.Rect location)
static int	opencv_video.meanShift(opencv_core.Mat probImage, opencv_core.Rect window, opencv_core.TermCriteria criteria) \brief Finds an object on a back projection image.
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_stitching.Blender.prepare(opencv_core.Rect dst_roi) \overload
void	opencv_stitching.FeatherBlender.prepare(opencv_core.Rect dst_roi)
void	opencv_stitching.MultiBandBlender.prepare(opencv_core.Rect dst_roi)
opencv_core.RectVector	opencv_core.RectVector.put(long i, opencv_core.Rect value)
opencv_core.RectVector	opencv_core.RectVector.put(opencv_core.Rect... array)
opencv_core.Rect	opencv_core.Rect.put(opencv_core.Rect r)
static void	opencv_imgproc.rectangle(opencv_core.Mat img, opencv_core.Rect rec, opencv_core.Scalar color)
static void	opencv_imgproc.rectangle(opencv_core.Mat img, opencv_core.Rect rec, opencv_core.Scalar color, int thickness, int lineType, int shift) \overload
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.
void	opencv_calib3d.StereoBM.setROI1(opencv_core.Rect roi1)
void	opencv_calib3d.StereoBM.setROI2(opencv_core.Rect roi2)
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.

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

Constructor and Description
opencv_core.Mat(opencv_core.Mat m, opencv_core.Rect roi) \overload
opencv_core.Rect(opencv_core.Rect r)
opencv_core.RectVector(opencv_core.Rect... array)
opencv_core.UMat(opencv_core.UMat m, opencv_core.Rect roi)
opencv_imgproc.Subdiv2D(opencv_core.Rect rect)
opencv_objdetect.DetectionBasedTracker.ExtObject(int _id, opencv_core.Rect _location, int _status)