| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
opencv_core.TermCriteria |
opencv_core.CvTermCriteria.asTermCriteria() |
opencv_core.TermCriteria |
opencv_core.TermCriteria.epsilon(double epsilon) |
opencv_core.TermCriteria |
opencv_ml.SVM.getTermCriteria() |
opencv_core.TermCriteria |
opencv_ml.EM.getTermCriteria() |
opencv_core.TermCriteria |
opencv_ml.RTrees.getTermCriteria() |
opencv_core.TermCriteria |
opencv_ml.ANN_MLP.getTermCriteria() |
opencv_core.TermCriteria |
opencv_ml.LogisticRegression.getTermCriteria() |
opencv_core.TermCriteria |
opencv_core.MinProblemSolver.getTermCriteria()
\brief Getter for the previously set terminal criteria for this algorithm.
|
opencv_core.TermCriteria |
opencv_core.TermCriteria.maxCount(int maxCount) |
opencv_core.TermCriteria |
opencv_core.TermCriteria.position(long position) |
opencv_core.TermCriteria |
opencv_stitching.BundleAdjusterBase.termCriteria() |
opencv_core.TermCriteria |
opencv_core.TermCriteria.type(int type) |
| Modifier and Type | Method and Description |
|---|---|
static void |
opencv_video.calcOpticalFlowPyrLK(opencv_core.Mat prevImg,
opencv_core.Mat nextImg,
opencv_core.Mat prevPts,
opencv_core.Mat nextPts,
opencv_core.Mat status,
opencv_core.Mat err,
opencv_core.Size winSize,
int maxLevel,
opencv_core.TermCriteria criteria,
int flags,
double minEigThreshold)
\brief Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
pyramids.
|
static double |
opencv_calib3d.calibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size image_size,
opencv_core.Mat K,
opencv_core.Mat D,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs,
int flags,
opencv_core.TermCriteria criteria)
\brief Performs camera calibaration
|
static double |
opencv_calib3d.calibrateCamera(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize,
opencv_core.Mat cameraMatrix,
opencv_core.Mat distCoeffs,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs,
int flags,
opencv_core.TermCriteria criteria)
\brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
|
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 void |
opencv_imgproc.cornerSubPix(opencv_core.Mat image,
opencv_core.Mat corners,
opencv_core.Size winSize,
opencv_core.Size zeroZone,
opencv_core.TermCriteria criteria)
\brief Refines the corner locations.
|
static opencv_core.DownhillSolver |
opencv_core.DownhillSolver.create(opencv_core.MinProblemSolver.Function f,
opencv_core.Mat initStep,
opencv_core.TermCriteria termcrit)
\brief This function returns the reference to the ready-to-use DownhillSolver object.
|
static opencv_core.ConjGradSolver |
opencv_core.ConjGradSolver.create(opencv_core.MinProblemSolver.Function f,
opencv_core.TermCriteria termcrit)
\brief This function returns the reference to the ready-to-use ConjGradSolver object.
|
static double |
opencv_video.findTransformECC(opencv_core.Mat templateImage,
opencv_core.Mat inputImage,
opencv_core.Mat warpMatrix,
int motionType,
opencv_core.TermCriteria criteria,
opencv_core.Mat inputMask)
\brief Finds the geometric transform (warp) between two images in terms of the ECC criterion \cite EP08 .
|
static double |
opencv_core.kmeans(opencv_core.Mat data,
int K,
opencv_core.Mat bestLabels,
opencv_core.TermCriteria criteria,
int attempts,
int flags) |
static double |
opencv_core.kmeans(opencv_core.Mat data,
int K,
opencv_core.Mat bestLabels,
opencv_core.TermCriteria criteria,
int attempts,
int flags,
opencv_core.Mat centers)
\brief Finds centers of clusters and groups input samples around the clusters.
|
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 void |
opencv_imgproc.pyrMeanShiftFiltering(opencv_core.Mat src,
opencv_core.Mat dst,
double sp,
double sr,
int maxLevel,
opencv_core.TermCriteria termcrit)
\addtogroup imgproc_filter
\{
|
void |
opencv_stitching.BundleAdjusterBase.setTermCriteria(opencv_core.TermCriteria term_criteria) |
void |
opencv_ml.SVM.setTermCriteria(opencv_core.TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
opencv_ml.EM.setTermCriteria(opencv_core.TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
opencv_ml.RTrees.setTermCriteria(opencv_core.TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
opencv_ml.ANN_MLP.setTermCriteria(opencv_core.TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
opencv_ml.LogisticRegression.setTermCriteria(opencv_core.TermCriteria val)
\copybrief getTermCriteria @see getTermCriteria
|
void |
opencv_core.MinProblemSolver.setTermCriteria(opencv_core.TermCriteria termcrit)
\brief Set terminal criteria for solver.
|
static double |
opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints1,
opencv_core.MatVector imagePoints2,
opencv_core.Mat K1,
opencv_core.Mat D1,
opencv_core.Mat K2,
opencv_core.Mat D2,
opencv_core.Size imageSize,
opencv_core.Mat R,
opencv_core.Mat T,
int flags,
opencv_core.TermCriteria criteria)
\brief Performs stereo calibration
|
static double |
opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints1,
opencv_core.MatVector imagePoints2,
opencv_core.Mat cameraMatrix1,
opencv_core.Mat distCoeffs1,
opencv_core.Mat cameraMatrix2,
opencv_core.Mat distCoeffs2,
opencv_core.Size imageSize,
opencv_core.Mat R,
opencv_core.Mat T,
opencv_core.Mat E,
opencv_core.Mat F,
int flags,
opencv_core.TermCriteria criteria)
\brief Calibrates the stereo camera.
|
| Constructor and Description |
|---|
opencv_core.CvTermCriteria(opencv_core.TermCriteria t) |
opencv_features2d.BOWKMeansTrainer(int clusterCount,
opencv_core.TermCriteria termcrit,
int attempts,
int flags)
\brief The constructor.
|
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