| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| 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) |
| 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.
|
| 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) |
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