Modifier and Type | Method and Description |
---|---|
static void |
opencv_video.calcOpticalFlowPyrLK(GpuMat prevImg,
GpuMat nextImg,
GpuMat prevPts,
GpuMat nextPts,
GpuMat status,
GpuMat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags,
double minEigThreshold) |
static void |
opencv_video.calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
Mat prevPts,
Mat nextPts,
Mat status,
Mat err,
Size winSize,
int maxLevel,
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 void |
opencv_video.calcOpticalFlowPyrLK(UMat prevImg,
UMat nextImg,
UMat prevPts,
UMat nextPts,
UMat status,
UMat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags,
double minEigThreshold) |
static double |
opencv_calib3d.calibrate(GpuMatVector objectPoints,
GpuMatVector imagePoints,
Size image_size,
GpuMat K,
GpuMat D,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(GpuMatVector objectPoints,
GpuMatVector imagePoints,
Size image_size,
Mat K,
Mat D,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(GpuMatVector objectPoints,
GpuMatVector imagePoints,
Size image_size,
UMat K,
UMat D,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(MatVector objectPoints,
MatVector imagePoints,
Size image_size,
GpuMat K,
GpuMat D,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(MatVector objectPoints,
MatVector imagePoints,
Size image_size,
Mat K,
Mat D,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria)
\brief Performs camera calibaration
|
static double |
opencv_calib3d.calibrate(MatVector objectPoints,
MatVector imagePoints,
Size image_size,
UMat K,
UMat D,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(UMatVector objectPoints,
UMatVector imagePoints,
Size image_size,
GpuMat K,
GpuMat D,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(UMatVector objectPoints,
UMatVector imagePoints,
Size image_size,
Mat K,
Mat D,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrate(UMatVector objectPoints,
UMatVector imagePoints,
Size image_size,
UMat K,
UMat D,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrateCamera(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(GpuMatVector corners,
GpuMat ids,
GpuMat counter,
Board board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(GpuMatVector corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(GpuMatVector corners,
UMat ids,
UMat counter,
Board board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(MatVector corners,
GpuMat ids,
GpuMat counter,
Board board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(MatVector corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria)
\brief It's the same function as #calibrateCameraAruco but without calibration error estimation.
|
static double |
opencv_aruco.calibrateCameraAruco(MatVector corners,
UMat ids,
UMat counter,
Board board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(UMatVector corners,
GpuMat ids,
GpuMat counter,
Board board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(UMatVector corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraAruco(UMatVector corners,
UMat ids,
UMat counter,
Board board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(GpuMatVector corners,
GpuMat ids,
GpuMat counter,
Board board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
GpuMat stdDeviationsIntrinsics,
GpuMat stdDeviationsExtrinsics,
GpuMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(GpuMatVector corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(GpuMatVector corners,
UMat ids,
UMat counter,
Board board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
UMat stdDeviationsIntrinsics,
UMat stdDeviationsExtrinsics,
UMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(MatVector corners,
GpuMat ids,
GpuMat counter,
Board board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
GpuMat stdDeviationsIntrinsics,
GpuMat stdDeviationsExtrinsics,
GpuMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(MatVector corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria)
\brief Calibrate a camera using aruco markers
|
static double |
opencv_aruco.calibrateCameraArucoExtended(MatVector corners,
UMat ids,
UMat counter,
Board board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
UMat stdDeviationsIntrinsics,
UMat stdDeviationsExtrinsics,
UMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(UMatVector corners,
GpuMat ids,
GpuMat counter,
Board board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
GpuMat stdDeviationsIntrinsics,
GpuMat stdDeviationsExtrinsics,
GpuMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(UMatVector corners,
Mat ids,
Mat counter,
Board board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraArucoExtended(UMatVector corners,
UMat ids,
UMat counter,
Board board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
UMat stdDeviationsIntrinsics,
UMat stdDeviationsExtrinsics,
UMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(GpuMatVector charucoCorners,
GpuMatVector charucoIds,
CharucoBoard board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(GpuMatVector charucoCorners,
GpuMatVector charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(GpuMatVector charucoCorners,
GpuMatVector charucoIds,
CharucoBoard board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(MatVector charucoCorners,
MatVector charucoIds,
CharucoBoard board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(MatVector charucoCorners,
MatVector charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria)
\brief It's the same function as #calibrateCameraCharuco but without calibration error estimation.
|
static double |
opencv_aruco.calibrateCameraCharuco(MatVector charucoCorners,
MatVector charucoIds,
CharucoBoard board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(UMatVector charucoCorners,
UMatVector charucoIds,
CharucoBoard board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(UMatVector charucoCorners,
UMatVector charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharuco(UMatVector charucoCorners,
UMatVector charucoIds,
CharucoBoard board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(GpuMatVector charucoCorners,
GpuMatVector charucoIds,
CharucoBoard board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
GpuMat stdDeviationsIntrinsics,
GpuMat stdDeviationsExtrinsics,
GpuMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(GpuMatVector charucoCorners,
GpuMatVector charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(GpuMatVector charucoCorners,
GpuMatVector charucoIds,
CharucoBoard board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
GpuMatVector rvecs,
GpuMatVector tvecs,
UMat stdDeviationsIntrinsics,
UMat stdDeviationsExtrinsics,
UMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(MatVector charucoCorners,
MatVector charucoIds,
CharucoBoard board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
GpuMat stdDeviationsIntrinsics,
GpuMat stdDeviationsExtrinsics,
GpuMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(MatVector charucoCorners,
MatVector charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria)
\brief Calibrate a camera using Charuco corners
|
static double |
opencv_aruco.calibrateCameraCharucoExtended(MatVector charucoCorners,
MatVector charucoIds,
CharucoBoard board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
MatVector rvecs,
MatVector tvecs,
UMat stdDeviationsIntrinsics,
UMat stdDeviationsExtrinsics,
UMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(UMatVector charucoCorners,
UMatVector charucoIds,
CharucoBoard board,
Size imageSize,
GpuMat cameraMatrix,
GpuMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
GpuMat stdDeviationsIntrinsics,
GpuMat stdDeviationsExtrinsics,
GpuMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(UMatVector charucoCorners,
UMatVector charucoIds,
CharucoBoard board,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_aruco.calibrateCameraCharucoExtended(UMatVector charucoCorners,
UMatVector charucoIds,
CharucoBoard board,
Size imageSize,
UMat cameraMatrix,
UMat distCoeffs,
UMatVector rvecs,
UMatVector tvecs,
UMat stdDeviationsIntrinsics,
UMat stdDeviationsExtrinsics,
UMat perViewErrors,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrateCameraExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat perViewErrors,
int flags,
TermCriteria criteria)
\brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration
pattern.
|
static double |
opencv_calib3d.calibrateCameraRO(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
int iFixedPoint,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat newObjPoints,
int flags,
TermCriteria criteria) |
static double |
opencv_calib3d.calibrateCameraROExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints,
Size imageSize,
int iFixedPoint,
Mat cameraMatrix,
Mat distCoeffs,
MatVector rvecs,
MatVector tvecs,
Mat newObjPoints,
Mat stdDeviationsIntrinsics,
Mat stdDeviationsExtrinsics,
Mat stdDeviationsObjPoints,
Mat perViewErrors,
int flags,
TermCriteria criteria)
\brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
|
static RotatedRect |
opencv_video.CamShift(GpuMat probImage,
Rect window,
TermCriteria criteria) |
static RotatedRect |
opencv_video.CamShift(Mat probImage,
Rect window,
TermCriteria criteria)
\brief Finds an object center, size, and orientation.
|
static RotatedRect |
opencv_video.CamShift(UMat probImage,
Rect window,
TermCriteria criteria) |
static void |
opencv_imgproc.cornerSubPix(GpuMat image,
GpuMat corners,
Size winSize,
Size zeroZone,
TermCriteria criteria) |
static void |
opencv_imgproc.cornerSubPix(Mat image,
Mat corners,
Size winSize,
Size zeroZone,
TermCriteria criteria)
\brief Refines the corner locations.
|
static void |
opencv_imgproc.cornerSubPix(UMat image,
UMat corners,
Size winSize,
Size zeroZone,
TermCriteria criteria) |
static CvTermCriteria |
opencv_core.cvTermCriteria(TermCriteria t) |
static double |
opencv_video.findTransformECC(GpuMat templateImage,
GpuMat inputImage,
GpuMat warpMatrix,
int motionType,
TermCriteria criteria,
GpuMat inputMask) |
static double |
opencv_video.findTransformECC(GpuMat templateImage,
GpuMat inputImage,
GpuMat warpMatrix,
int motionType,
TermCriteria criteria,
GpuMat inputMask,
int gaussFiltSize) |
static double |
opencv_video.findTransformECC(Mat templateImage,
Mat inputImage,
Mat warpMatrix,
int motionType,
TermCriteria criteria,
Mat inputMask)
\overload
|
static double |
opencv_video.findTransformECC(Mat templateImage,
Mat inputImage,
Mat warpMatrix,
int motionType,
TermCriteria criteria,
Mat inputMask,
int gaussFiltSize)
\brief Finds the geometric transform (warp) between two images in terms of the ECC criterion \cite EP08 .
|
static double |
opencv_video.findTransformECC(UMat templateImage,
UMat inputImage,
UMat warpMatrix,
int motionType,
TermCriteria criteria,
UMat inputMask) |
static double |
opencv_video.findTransformECC(UMat templateImage,
UMat inputImage,
UMat warpMatrix,
int motionType,
TermCriteria criteria,
UMat inputMask,
int gaussFiltSize) |
static double |
opencv_core.kmeans(GpuMat data,
int K,
GpuMat bestLabels,
TermCriteria criteria,
int attempts,
int flags) |
static double |
opencv_core.kmeans(GpuMat data,
int K,
GpuMat bestLabels,
TermCriteria criteria,
int attempts,
int flags,
GpuMat centers) |
static double |
opencv_core.kmeans(Mat data,
int K,
Mat bestLabels,
TermCriteria criteria,
int attempts,
int flags) |
static double |
opencv_core.kmeans(Mat data,
int K,
Mat bestLabels,
TermCriteria criteria,
int attempts,
int flags,
Mat centers)
\brief Finds centers of clusters and groups input samples around the clusters.
|
static double |
opencv_core.kmeans(UMat data,
int K,
UMat bestLabels,
TermCriteria criteria,
int attempts,
int flags) |
static double |
opencv_core.kmeans(UMat data,
int K,
UMat bestLabels,
TermCriteria criteria,
int attempts,
int flags,
UMat centers) |
static int |
opencv_video.meanShift(GpuMat probImage,
Rect window,
TermCriteria criteria) |
static int |
opencv_video.meanShift(Mat probImage,
Rect window,
TermCriteria criteria)
\brief Finds an object on a back projection image.
|
static int |
opencv_video.meanShift(UMat probImage,
Rect window,
TermCriteria criteria) |
static void |
opencv_cudaimgproc.meanShiftFiltering(GpuMat src,
GpuMat dst,
int sp,
int sr,
TermCriteria criteria,
Stream stream) |
static void |
opencv_cudaimgproc.meanShiftFiltering(Mat src,
Mat dst,
int sp,
int sr,
TermCriteria criteria,
Stream stream)
\} cudaimgproc_feature
|
static void |
opencv_cudaimgproc.meanShiftFiltering(UMat src,
UMat dst,
int sp,
int sr,
TermCriteria criteria,
Stream stream) |
static void |
opencv_cudaimgproc.meanShiftProc(GpuMat src,
GpuMat dstr,
GpuMat dstsp,
int sp,
int sr,
TermCriteria criteria,
Stream stream) |
static void |
opencv_cudaimgproc.meanShiftProc(Mat src,
Mat dstr,
Mat dstsp,
int sp,
int sr,
TermCriteria criteria,
Stream stream)
\brief Performs a mean-shift procedure and stores information about processed points (their colors and
positions) in two images.
|
static void |
opencv_cudaimgproc.meanShiftProc(UMat src,
UMat dstr,
UMat dstsp,
int sp,
int sr,
TermCriteria criteria,
Stream stream) |
static void |
opencv_cudaimgproc.meanShiftSegmentation(GpuMat src,
GpuMat dst,
int sp,
int sr,
int minsize,
TermCriteria criteria,
Stream stream) |
static void |
opencv_cudaimgproc.meanShiftSegmentation(Mat src,
Mat dst,
int sp,
int sr,
int minsize,
TermCriteria criteria,
Stream stream)
\brief Performs a mean-shift segmentation of the source image and eliminates small segments.
|
static void |
opencv_cudaimgproc.meanShiftSegmentation(UMat src,
UMat dst,
int sp,
int sr,
int minsize,
TermCriteria criteria,
Stream stream) |
static void |
opencv_imgproc.pyrMeanShiftFiltering(GpuMat src,
GpuMat dst,
double sp,
double sr,
int maxLevel,
TermCriteria termcrit) |
static void |
opencv_imgproc.pyrMeanShiftFiltering(Mat src,
Mat dst,
double sp,
double sr,
int maxLevel,
TermCriteria termcrit)
\addtogroup imgproc_filter
\{
|
static void |
opencv_imgproc.pyrMeanShiftFiltering(UMat src,
UMat dst,
double sp,
double sr,
int maxLevel,
TermCriteria termcrit) |
static void |
opencv_calib3d.solvePnPRefineLM(GpuMat objectPoints,
GpuMat imagePoints,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMat rvec,
GpuMat tvec,
TermCriteria criteria) |
static void |
opencv_calib3d.solvePnPRefineLM(Mat objectPoints,
Mat imagePoints,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec,
TermCriteria criteria)
\brief Refine a pose (the translation and the rotation that transform a 3D point expressed in the object coordinate frame
to the camera coordinate frame) from a 3D-2D point correspondences and starting from an initial solution.
|
static void |
opencv_calib3d.solvePnPRefineLM(UMat objectPoints,
UMat imagePoints,
UMat cameraMatrix,
UMat distCoeffs,
UMat rvec,
UMat tvec,
TermCriteria criteria) |
static void |
opencv_calib3d.solvePnPRefineVVS(GpuMat objectPoints,
GpuMat imagePoints,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMat rvec,
GpuMat tvec,
TermCriteria criteria,
double VVSlambda) |
static void |
opencv_calib3d.solvePnPRefineVVS(Mat objectPoints,
Mat imagePoints,
Mat cameraMatrix,
Mat distCoeffs,
Mat rvec,
Mat tvec,
TermCriteria criteria,
double VVSlambda)
\brief Refine a pose (the translation and the rotation that transform a 3D point expressed in the object coordinate frame
to the camera coordinate frame) from a 3D-2D point correspondences and starting from an initial solution.
|
static void |
opencv_calib3d.solvePnPRefineVVS(UMat objectPoints,
UMat imagePoints,
UMat cameraMatrix,
UMat distCoeffs,
UMat rvec,
UMat tvec,
TermCriteria criteria,
double VVSlambda) |
static double |
opencv_calib3d.stereoCalibrate(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints1,
Point2fVectorVector 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 |
opencv_calib3d.stereoCalibrateExtended(Point3fVectorVector objectPoints,
Point2fVectorVector imagePoints1,
Point2fVectorVector 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)
\brief Calibrates a stereo camera set up.
|
static void |
opencv_calib3d.undistortPointsIter(GpuMat src,
GpuMat dst,
GpuMat cameraMatrix,
GpuMat distCoeffs,
GpuMat R,
GpuMat P,
TermCriteria criteria) |
static void |
opencv_calib3d.undistortPointsIter(Mat src,
Mat dst,
Mat cameraMatrix,
Mat distCoeffs,
Mat R,
Mat P,
TermCriteria criteria)
\overload
\note Default version of #undistortPoints does 5 iterations to compute undistorted points.
|
static void |
opencv_calib3d.undistortPointsIter(UMat src,
UMat dst,
UMat cameraMatrix,
UMat distCoeffs,
UMat R,
UMat P,
TermCriteria criteria) |
Modifier and Type | Method and Description |
---|---|
TermCriteria |
CvTermCriteria.asTermCriteria() |
TermCriteria |
TermCriteria.epsilon(double setter) |
TermCriteria |
MinProblemSolver.getTermCriteria()
\brief Getter for the previously set terminal criteria for this algorithm.
|
TermCriteria |
TermCriteria.maxCount(int setter) |
TermCriteria |
TermCriteria.position(long position) |
TermCriteria |
TermCriteria.type(int setter) |
Modifier and Type | Method and Description |
---|---|
static DownhillSolver |
DownhillSolver.create(MinProblemSolver.Function f,
GpuMat initStep,
TermCriteria termcrit) |
static DownhillSolver |
DownhillSolver.create(MinProblemSolver.Function f,
Mat initStep,
TermCriteria termcrit)
\brief This function returns the reference to the ready-to-use DownhillSolver object.
|
static ConjGradSolver |
ConjGradSolver.create(MinProblemSolver.Function f,
TermCriteria termcrit)
\brief This function returns the reference to the ready-to-use ConjGradSolver object.
|
static DownhillSolver |
DownhillSolver.create(MinProblemSolver.Function f,
UMat initStep,
TermCriteria termcrit) |
void |
MinProblemSolver.setTermCriteria(TermCriteria termcrit)
\brief Set terminal criteria for solver.
|
Constructor and Description |
---|
BOWKMeansTrainer(int clusterCount,
TermCriteria termcrit,
int attempts,
int flags)
\brief The constructor.
|
Modifier and Type | Method and Description |
---|---|
TermCriteria |
ANN_MLP.getTermCriteria() |
TermCriteria |
LogisticRegression.getTermCriteria() |
TermCriteria |
RTrees.getTermCriteria() |
TermCriteria |
SVMSGD.getTermCriteria() |
TermCriteria |
SVM.getTermCriteria() |
TermCriteria |
EM.getTermCriteria() |
Modifier and Type | Method and Description |
---|---|
void |
ANN_MLP.setTermCriteria(TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
LogisticRegression.setTermCriteria(TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
RTrees.setTermCriteria(TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
SVMSGD.setTermCriteria(TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
SVM.setTermCriteria(TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
EM.setTermCriteria(TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
Modifier and Type | Method and Description |
---|---|
TermCriteria |
BundleAdjusterBase.termCriteria() |
Modifier and Type | Method and Description |
---|---|
void |
BundleAdjusterBase.setTermCriteria(TermCriteria term_criteria) |
Modifier and Type | Method and Description |
---|---|
TermCriteria |
TrackerMedianFlow.Params.termCriteria()
termination criteria for Lucas-Kanade optical flow
|
Modifier and Type | Method and Description |
---|---|
TrackerMedianFlow.Params |
TrackerMedianFlow.Params.termCriteria(TermCriteria setter) |
Modifier and Type | Method and Description |
---|---|
TermCriteria |
SparsePyrLKOpticalFlow.getTermCriteria() |
Modifier and Type | Method and Description |
---|---|
static SparsePyrLKOpticalFlow |
SparsePyrLKOpticalFlow.create(Size winSize,
int maxLevel,
TermCriteria crit,
int flags,
double minEigThreshold) |
void |
SparsePyrLKOpticalFlow.setTermCriteria(TermCriteria crit) |
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