| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
opencv_core.MatVector |
opencv_videostab.InpainterBase.frames() |
opencv_core.MatVector |
opencv_videostab.DeblurerBase.frames() |
opencv_core.MatVector |
opencv_features2d.BOWTrainer.getDescriptors()
\brief Returns a training set of descriptors.
|
opencv_core.MatVector |
opencv_face.LBPHFaceRecognizer.getHistograms() |
opencv_core.MatVector |
opencv_face.BasicFaceRecognizer.getProjections() |
opencv_core.MatVector |
opencv_features2d.DescriptorMatcher.getTrainDescriptors()
\brief Returns a constant link to the train descriptor collection trainDescCollection .
|
opencv_core.MatVector |
opencv_videostab.InpainterBase.motions() |
opencv_core.MatVector |
opencv_videostab.DeblurerBase.motions() |
opencv_core.MatVector |
opencv_videostab.WobbleSuppressorBase.motions() |
opencv_core.MatVector |
opencv_videostab.WobbleSuppressorBase.motions2() |
opencv_core.MatVector |
opencv_core.MatVector.put(long i,
opencv_core.Mat value) |
opencv_core.MatVector |
opencv_core.MatVector.put(opencv_core.Mat... array) |
opencv_core.MatVector |
opencv_core.MatVector.put(opencv_core.MatVector x) |
opencv_core.MatVector |
opencv_videostab.InpainterBase.stabilizationMotions() |
opencv_core.MatVector |
opencv_videostab.WobbleSuppressorBase.stabilizationMotions() |
opencv_core.MatVector |
opencv_videostab.InpainterBase.stabilizedFrames() |
| Modifier and Type | Method and Description |
|---|---|
void |
opencv_features2d.DescriptorMatcher.add(opencv_core.MatVector descriptors)
\brief Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor
collection.
|
void |
opencv_features2d.FlannBasedMatcher.add(opencv_core.MatVector descriptors) |
void |
opencv_stitching.FeaturesFinder.apply(opencv_core.MatVector images,
opencv_stitching.ImageFeatures features)
\overload
|
void |
opencv_stitching.FeaturesFinder.apply(opencv_core.MatVector images,
opencv_stitching.ImageFeatures features,
opencv_core.RectVectorVector rois)
\brief Finds features in the given images in parallel.
|
static int |
opencv_video.buildOpticalFlowPyramid(opencv_core.Mat img,
opencv_core.MatVector pyramid,
opencv_core.Size winSize,
int maxLevel) |
static int |
opencv_video.buildOpticalFlowPyramid(opencv_core.Mat img,
opencv_core.MatVector pyramid,
opencv_core.Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder,
boolean tryReuseInputImage)
\brief Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK.
|
static int |
opencv_video.buildOpticalFlowPyramid(opencv_core.UMat img,
opencv_core.MatVector pyramid,
opencv_core.Size winSize,
int maxLevel) |
static int |
opencv_video.buildOpticalFlowPyramid(opencv_core.UMat img,
opencv_core.MatVector pyramid,
opencv_core.Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder,
boolean tryReuseInputImage) |
static void |
opencv_imgproc.buildPyramid(opencv_core.Mat src,
opencv_core.MatVector dst,
int maxlevel) |
static void |
opencv_imgproc.buildPyramid(opencv_core.Mat src,
opencv_core.MatVector dst,
int maxlevel,
int borderType)
\brief Constructs the Gaussian pyramid for an image.
|
static void |
opencv_imgproc.buildPyramid(opencv_core.UMat src,
opencv_core.MatVector dst,
int maxlevel) |
static void |
opencv_imgproc.buildPyramid(opencv_core.UMat src,
opencv_core.MatVector dst,
int maxlevel,
int borderType) |
static void |
opencv_imgproc.calcBackProject(opencv_core.MatVector images,
int[] channels,
opencv_core.Mat hist,
opencv_core.Mat dst,
float[] ranges,
double scale) |
static void |
opencv_imgproc.calcBackProject(opencv_core.MatVector images,
int[] channels,
opencv_core.UMat hist,
opencv_core.UMat dst,
float[] ranges,
double scale) |
static void |
opencv_imgproc.calcBackProject(opencv_core.MatVector images,
IntBuffer channels,
opencv_core.Mat hist,
opencv_core.Mat dst,
FloatBuffer ranges,
double scale) |
static void |
opencv_imgproc.calcBackProject(opencv_core.MatVector images,
IntBuffer channels,
opencv_core.UMat hist,
opencv_core.UMat dst,
FloatBuffer ranges,
double scale) |
static void |
opencv_imgproc.calcBackProject(opencv_core.MatVector images,
IntPointer channels,
opencv_core.Mat hist,
opencv_core.Mat dst,
FloatPointer ranges,
double scale)
\overload
|
static void |
opencv_imgproc.calcBackProject(opencv_core.MatVector images,
IntPointer channels,
opencv_core.UMat hist,
opencv_core.UMat dst,
FloatPointer ranges,
double scale) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
int[] channels,
opencv_core.Mat mask,
opencv_core.Mat hist,
int[] histSize,
float[] ranges) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
int[] channels,
opencv_core.Mat mask,
opencv_core.Mat hist,
int[] histSize,
float[] ranges,
boolean accumulate) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
int[] channels,
opencv_core.UMat mask,
opencv_core.UMat hist,
int[] histSize,
float[] ranges) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
int[] channels,
opencv_core.UMat mask,
opencv_core.UMat hist,
int[] histSize,
float[] ranges,
boolean accumulate) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntBuffer channels,
opencv_core.Mat mask,
opencv_core.Mat hist,
IntBuffer histSize,
FloatBuffer ranges) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntBuffer channels,
opencv_core.Mat mask,
opencv_core.Mat hist,
IntBuffer histSize,
FloatBuffer ranges,
boolean accumulate) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntBuffer channels,
opencv_core.UMat mask,
opencv_core.UMat hist,
IntBuffer histSize,
FloatBuffer ranges) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntBuffer channels,
opencv_core.UMat mask,
opencv_core.UMat hist,
IntBuffer histSize,
FloatBuffer ranges,
boolean accumulate) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntPointer channels,
opencv_core.Mat mask,
opencv_core.Mat hist,
IntPointer histSize,
FloatPointer ranges) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntPointer channels,
opencv_core.Mat mask,
opencv_core.Mat hist,
IntPointer histSize,
FloatPointer ranges,
boolean accumulate)
\overload
|
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntPointer channels,
opencv_core.UMat mask,
opencv_core.UMat hist,
IntPointer histSize,
FloatPointer ranges) |
static void |
opencv_imgproc.calcHist(opencv_core.MatVector images,
IntPointer channels,
opencv_core.UMat mask,
opencv_core.UMat hist,
IntPointer histSize,
FloatPointer ranges,
boolean accumulate) |
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) |
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.calibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size image_size,
opencv_core.UMat K,
opencv_core.UMat D,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs) |
static double |
opencv_calib3d.calibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size image_size,
opencv_core.UMat K,
opencv_core.UMat D,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs,
int flags,
opencv_core.TermCriteria criteria) |
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) |
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)
\overload double calibrateCamera( InputArrayOfArrays objectPoints,
InputArrayOfArrays imagePoints, Size imageSize,
InputOutputArray cameraMatrix, InputOutputArray distCoeffs,
OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs,
OutputArray stdDeviations, OutputArray perViewErrors,
int flags = 0, TermCriteria criteria = TermCriteria(
TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON) )
|
static double |
opencv_calib3d.calibrateCamera(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize,
opencv_core.UMat cameraMatrix,
opencv_core.UMat distCoeffs,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs) |
static double |
opencv_calib3d.calibrateCamera(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize,
opencv_core.UMat cameraMatrix,
opencv_core.UMat distCoeffs,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs,
int flags,
opencv_core.TermCriteria criteria) |
static double |
opencv_calib3d.calibrateCameraExtended(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,
opencv_core.Mat stdDeviationsIntrinsics,
opencv_core.Mat stdDeviationsExtrinsics,
opencv_core.Mat perViewErrors) |
static double |
opencv_calib3d.calibrateCameraExtended(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,
opencv_core.Mat stdDeviationsIntrinsics,
opencv_core.Mat stdDeviationsExtrinsics,
opencv_core.Mat perViewErrors,
int flags,
opencv_core.TermCriteria criteria)
\brief Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern.
|
static double |
opencv_calib3d.calibrateCameraExtended(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize,
opencv_core.UMat cameraMatrix,
opencv_core.UMat distCoeffs,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs,
opencv_core.UMat stdDeviationsIntrinsics,
opencv_core.UMat stdDeviationsExtrinsics,
opencv_core.UMat perViewErrors) |
static double |
opencv_calib3d.calibrateCameraExtended(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize,
opencv_core.UMat cameraMatrix,
opencv_core.UMat distCoeffs,
opencv_core.MatVector rvecs,
opencv_core.MatVector tvecs,
opencv_core.UMat stdDeviationsIntrinsics,
opencv_core.UMat stdDeviationsExtrinsics,
opencv_core.UMat perViewErrors,
int flags,
opencv_core.TermCriteria criteria) |
static boolean |
opencv_stitching.calibrateRotatingCamera(opencv_core.MatVector Hs,
opencv_core.Mat K) |
int |
opencv_stitching.Stitcher.composePanorama(opencv_core.MatVector images,
opencv_core.Mat pano)
\brief These functions try to compose the given images (or images stored internally from the other function
calls) into the final pano under the assumption that the image transformations were estimated
before.
|
int |
opencv_stitching.Stitcher.composePanorama(opencv_core.MatVector images,
opencv_core.UMat pano) |
void |
opencv_xfeatures2d.DAISY.compute(opencv_core.MatVector images,
opencv_core.KeyPointVectorVector keypoints,
opencv_core.MatVector descriptors) |
void |
opencv_features2d.Feature2D.compute(opencv_core.MatVector images,
opencv_core.KeyPointVectorVector keypoints,
opencv_core.MatVector descriptors)
\overload
|
void |
opencv_core.LDA.compute(opencv_core.MatVector src,
opencv_core.Mat labels)
Compute the discriminants for data in src (row aligned) and labels.
|
void |
opencv_core.LDA.compute(opencv_core.MatVector src,
opencv_core.UMat labels) |
static void |
opencv_text.computeNMChannels(opencv_core.Mat _src,
opencv_core.MatVector _channels) |
static void |
opencv_text.computeNMChannels(opencv_core.Mat _src,
opencv_core.MatVector _channels,
int _mode)
\brief Compute the different channels to be processed independently in the N&M algorithm [Neumann12].
|
static void |
opencv_text.computeNMChannels(opencv_core.UMat _src,
opencv_core.MatVector _channels) |
static void |
opencv_text.computeNMChannels(opencv_core.UMat _src,
opencv_core.MatVector _channels,
int _mode) |
void |
opencv_xfeatures2d.PCTSignaturesSQFD.computeQuadraticFormDistances(opencv_core.Mat sourceSignature,
opencv_core.MatVector imageSignatures,
float[] distances) |
void |
opencv_xfeatures2d.PCTSignaturesSQFD.computeQuadraticFormDistances(opencv_core.Mat sourceSignature,
opencv_core.MatVector imageSignatures,
FloatBuffer distances) |
void |
opencv_xfeatures2d.PCTSignaturesSQFD.computeQuadraticFormDistances(opencv_core.Mat sourceSignature,
opencv_core.MatVector imageSignatures,
FloatPointer distances)
\brief Computes Signature Quadratic Form Distance between the reference signature
and each of the other image signatures.
|
void |
opencv_xfeatures2d.PCTSignatures.computeSignatures(opencv_core.MatVector images,
opencv_core.MatVector signatures)
\brief Computes signatures for multiple images in parallel.
|
static int |
opencv_calib3d.decomposeHomographyMat(opencv_core.Mat H,
opencv_core.Mat K,
opencv_core.MatVector rotations,
opencv_core.MatVector translations,
opencv_core.MatVector normals)
\brief Decompose a homography matrix to rotation(s), translation(s) and plane normal(s).
|
static int |
opencv_calib3d.decomposeHomographyMat(opencv_core.UMat H,
opencv_core.UMat K,
opencv_core.MatVector rotations,
opencv_core.MatVector translations,
opencv_core.MatVector normals) |
static void |
opencv_photo.denoise_TVL1(opencv_core.MatVector observations,
opencv_core.Mat result) |
static void |
opencv_photo.denoise_TVL1(opencv_core.MatVector observations,
opencv_core.Mat result,
double lambda,
int niters)
\brief Primal-dual algorithm is an algorithm for solving special types of variational problems (that is,
finding a function to minimize some functional).
|
void |
opencv_features2d.Feature2D.detect(opencv_core.MatVector images,
opencv_core.KeyPointVectorVector keypoints) |
void |
opencv_features2d.Feature2D.detect(opencv_core.MatVector images,
opencv_core.KeyPointVectorVector keypoints,
opencv_core.MatVector masks)
\overload
|
static void |
opencv_imgproc.drawContours(opencv_core.Mat image,
opencv_core.MatVector contours,
int contourIdx,
opencv_core.Scalar color) |
static void |
opencv_imgproc.drawContours(opencv_core.Mat image,
opencv_core.MatVector contours,
int contourIdx,
opencv_core.Scalar color,
int thickness,
int lineType,
opencv_core.Mat hierarchy,
int maxLevel,
opencv_core.Point offset)
\brief Draws contours outlines or filled contours.
|
static void |
opencv_imgproc.drawContours(opencv_core.UMat image,
opencv_core.MatVector contours,
int contourIdx,
opencv_core.Scalar color) |
static void |
opencv_imgproc.drawContours(opencv_core.UMat image,
opencv_core.MatVector contours,
int contourIdx,
opencv_core.Scalar color,
int thickness,
int lineType,
opencv_core.UMat hierarchy,
int maxLevel,
opencv_core.Point offset) |
static void |
opencv_text.erGrouping(opencv_core.Mat img,
opencv_core.MatVector channels,
opencv_text.ERStatVectorVector regions,
opencv_core.PointVectorVector groups,
opencv_core.RectVector groups_rects) |
static void |
opencv_text.erGrouping(opencv_core.Mat img,
opencv_core.MatVector channels,
opencv_text.ERStatVectorVector regions,
opencv_core.PointVectorVector groups,
opencv_core.RectVector groups_rects,
int method,
BytePointer filename,
float minProbablity)
\brief Find groups of Extremal Regions that are organized as text blocks.
|
static void |
opencv_text.erGrouping(opencv_core.UMat img,
opencv_core.MatVector channels,
opencv_text.ERStatVectorVector regions,
opencv_core.PointVectorVector groups,
opencv_core.RectVector groups_rects) |
static void |
opencv_text.erGrouping(opencv_core.UMat img,
opencv_core.MatVector channels,
opencv_text.ERStatVectorVector regions,
opencv_core.PointVectorVector groups,
opencv_core.RectVector groups_rects,
int method,
BytePointer filename,
float minProbablity) |
int |
opencv_stitching.Stitcher.estimateTransform(opencv_core.MatVector images)
\overload
|
int |
opencv_stitching.Stitcher.estimateTransform(opencv_core.MatVector images,
opencv_core.RectVectorVector rois)
\brief These functions try to match the given images and to estimate rotations of each camera.
|
static void |
opencv_photo.fastNlMeansDenoisingColoredMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
opencv_photo.fastNlMeansDenoisingColoredMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize)
\brief Modification of fastNlMeansDenoisingMulti function for colored images sequences
|
static void |
opencv_photo.fastNlMeansDenoisingColoredMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
opencv_photo.fastNlMeansDenoisingColoredMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
float hColor,
int templateWindowSize,
int searchWindowSize) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float[] h) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float[] h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatBuffer h) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatBuffer h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize,
int searchWindowSize)
\brief Modification of fastNlMeansDenoising function for images sequence where consequtive images have been
captured in small period of time.
|
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatPointer h) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.Mat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatPointer h,
int templateWindowSize,
int searchWindowSize,
int normType)
\brief Modification of fastNlMeansDenoising function for images sequence where consequtive images have been
captured in small period of time.
|
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float[] h) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float[] h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatBuffer h) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatBuffer h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
float h,
int templateWindowSize,
int searchWindowSize) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatPointer h) |
static void |
opencv_photo.fastNlMeansDenoisingMulti(opencv_core.MatVector srcImgs,
opencv_core.UMat dst,
int imgToDenoiseIndex,
int temporalWindowSize,
FloatPointer h,
int templateWindowSize,
int searchWindowSize,
int normType) |
static void |
opencv_imgproc.fillPoly(opencv_core.Mat img,
opencv_core.MatVector pts,
opencv_core.Scalar color) |
static void |
opencv_imgproc.fillPoly(opencv_core.Mat img,
opencv_core.MatVector pts,
opencv_core.Scalar color,
int lineType,
int shift,
opencv_core.Point offset)
\brief Fills the area bounded by one or more polygons.
|
static void |
opencv_imgproc.fillPoly(opencv_core.UMat img,
opencv_core.MatVector pts,
opencv_core.Scalar color) |
static void |
opencv_imgproc.fillPoly(opencv_core.UMat img,
opencv_core.MatVector pts,
opencv_core.Scalar color,
int lineType,
int shift,
opencv_core.Point offset) |
static void |
opencv_imgproc.findContours(opencv_core.Mat image,
opencv_core.MatVector contours,
int mode,
int method) |
static void |
opencv_imgproc.findContours(opencv_core.Mat image,
opencv_core.MatVector contours,
int mode,
int method,
opencv_core.Point offset)
\overload
|
static void |
opencv_imgproc.findContours(opencv_core.Mat image,
opencv_core.MatVector contours,
opencv_core.Mat hierarchy,
int mode,
int method) |
static void |
opencv_imgproc.findContours(opencv_core.Mat image,
opencv_core.MatVector contours,
opencv_core.Mat hierarchy,
int mode,
int method,
opencv_core.Point offset)
\brief Finds contours in a binary image.
|
static void |
opencv_imgproc.findContours(opencv_core.UMat image,
opencv_core.MatVector contours,
int mode,
int method) |
static void |
opencv_imgproc.findContours(opencv_core.UMat image,
opencv_core.MatVector contours,
int mode,
int method,
opencv_core.Point offset) |
static void |
opencv_imgproc.findContours(opencv_core.UMat image,
opencv_core.MatVector contours,
opencv_core.UMat hierarchy,
int mode,
int method) |
static void |
opencv_imgproc.findContours(opencv_core.UMat image,
opencv_core.MatVector contours,
opencv_core.UMat hierarchy,
int mode,
int method,
opencv_core.Point offset) |
void |
opencv_ml.EM.getCovs(opencv_core.MatVector covs)
\brief Returns covariation matrices
|
static opencv_core.Mat |
opencv_videostab.getMotion(int from,
int to,
opencv_core.MatVector motions)
\brief Computes motion between two frames assuming that all the intermediate motions are known.
|
static void |
opencv_core.hconcat(opencv_core.MatVector src,
opencv_core.Mat dst)
\overload
|
static void |
opencv_core.hconcat(opencv_core.MatVector src,
opencv_core.UMat dst) |
static boolean |
opencv_imgcodecs.imreadmulti(BytePointer filename,
opencv_core.MatVector mats) |
static boolean |
opencv_imgcodecs.imreadmulti(BytePointer filename,
opencv_core.MatVector mats,
int flags)
\brief Loads a multi-page image from a file.
|
static boolean |
opencv_imgcodecs.imreadmulti(String filename,
opencv_core.MatVector mats) |
static boolean |
opencv_imgcodecs.imreadmulti(String filename,
opencv_core.MatVector mats,
int flags) |
static opencv_core.Mat |
opencv_calib3d.initCameraMatrix2D(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize) |
static opencv_core.Mat |
opencv_calib3d.initCameraMatrix2D(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints,
opencv_core.Size imageSize,
double aspectRatio)
\brief Finds an initial camera matrix from 3D-2D point correspondences.
|
void |
opencv_features2d.DescriptorMatcher.knnMatch(opencv_core.Mat queryDescriptors,
opencv_core.DMatchVectorVector matches,
int k,
opencv_core.MatVector masks,
boolean compactResult)
\overload
|
void |
opencv_features2d.DescriptorMatcher.knnMatch(opencv_core.UMat queryDescriptors,
opencv_core.DMatchVectorVector matches,
int k,
opencv_core.MatVector masks,
boolean compactResult) |
void |
opencv_features2d.DescriptorMatcher.match(opencv_core.Mat queryDescriptors,
opencv_core.DMatchVector matches,
opencv_core.MatVector masks)
\overload
|
void |
opencv_features2d.DescriptorMatcher.match(opencv_core.UMat queryDescriptors,
opencv_core.DMatchVector matches,
opencv_core.MatVector masks) |
static void |
opencv_core.merge(opencv_core.MatVector mv,
opencv_core.Mat dst)
\overload
|
static void |
opencv_core.merge(opencv_core.MatVector mv,
opencv_core.UMat dst) |
static void |
opencv_core.mixChannels(opencv_core.MatVector src,
opencv_core.MatVector dst,
int[] fromTo) |
static void |
opencv_core.mixChannels(opencv_core.MatVector src,
opencv_core.MatVector dst,
int[] fromTo,
long npairs) |
static void |
opencv_core.mixChannels(opencv_core.MatVector src,
opencv_core.MatVector dst,
IntBuffer fromTo) |
static void |
opencv_core.mixChannels(opencv_core.MatVector src,
opencv_core.MatVector dst,
IntBuffer fromTo,
long npairs) |
static void |
opencv_core.mixChannels(opencv_core.MatVector src,
opencv_core.MatVector dst,
IntPointer fromTo)
\overload
|
static void |
opencv_core.mixChannels(opencv_core.MatVector src,
opencv_core.MatVector dst,
IntPointer fromTo,
long npairs)
\overload
|
static void |
opencv_imgproc.polylines(opencv_core.Mat img,
opencv_core.MatVector pts,
boolean isClosed,
opencv_core.Scalar color) |
static void |
opencv_imgproc.polylines(opencv_core.Mat img,
opencv_core.MatVector pts,
boolean isClosed,
opencv_core.Scalar color,
int thickness,
int lineType,
int shift)
\brief Draws several polygonal curves.
|
static void |
opencv_imgproc.polylines(opencv_core.UMat img,
opencv_core.MatVector pts,
boolean isClosed,
opencv_core.Scalar color) |
static void |
opencv_imgproc.polylines(opencv_core.UMat img,
opencv_core.MatVector pts,
boolean isClosed,
opencv_core.Scalar color,
int thickness,
int lineType,
int shift) |
void |
opencv_photo.MergeMertens.process(opencv_core.MatVector src,
opencv_core.Mat dst)
\brief Short version of process, that doesn't take extra arguments.
|
void |
opencv_photo.CalibrateCRF.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times)
\brief Recovers inverse camera response.
|
void |
opencv_photo.MergeDebevec.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times) |
void |
opencv_photo.MergeRobertson.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times) |
void |
opencv_photo.MergeExposures.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times,
opencv_core.Mat response)
\brief Merges images.
|
void |
opencv_photo.MergeDebevec.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times,
opencv_core.Mat response) |
void |
opencv_photo.MergeMertens.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times,
opencv_core.Mat response) |
void |
opencv_photo.MergeRobertson.process(opencv_core.MatVector src,
opencv_core.Mat dst,
opencv_core.Mat times,
opencv_core.Mat response) |
void |
opencv_photo.AlignMTB.process(opencv_core.MatVector src,
opencv_core.MatVector dst)
\brief Short version of process, that doesn't take extra arguments.
|
void |
opencv_photo.AlignExposures.process(opencv_core.MatVector src,
opencv_core.MatVector dst,
opencv_core.Mat times,
opencv_core.Mat response)
\brief Aligns images
|
void |
opencv_photo.AlignMTB.process(opencv_core.MatVector src,
opencv_core.MatVector dst,
opencv_core.Mat times,
opencv_core.Mat response) |
void |
opencv_photo.AlignExposures.process(opencv_core.MatVector src,
opencv_core.MatVector dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.AlignMTB.process(opencv_core.MatVector src,
opencv_core.MatVector dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.MergeMertens.process(opencv_core.MatVector src,
opencv_core.UMat dst) |
void |
opencv_photo.CalibrateCRF.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times) |
void |
opencv_photo.MergeDebevec.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times) |
void |
opencv_photo.MergeRobertson.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times) |
void |
opencv_photo.MergeExposures.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.MergeDebevec.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.MergeMertens.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.MergeRobertson.process(opencv_core.MatVector src,
opencv_core.UMat dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.AlignMTB.process(opencv_core.UMatVector src,
opencv_core.MatVector dst) |
void |
opencv_photo.AlignExposures.process(opencv_core.UMatVector src,
opencv_core.MatVector dst,
opencv_core.Mat times,
opencv_core.Mat response) |
void |
opencv_photo.AlignMTB.process(opencv_core.UMatVector src,
opencv_core.MatVector dst,
opencv_core.Mat times,
opencv_core.Mat response) |
void |
opencv_photo.AlignExposures.process(opencv_core.UMatVector src,
opencv_core.MatVector dst,
opencv_core.UMat times,
opencv_core.UMat response) |
void |
opencv_photo.AlignMTB.process(opencv_core.UMatVector src,
opencv_core.MatVector dst,
opencv_core.UMat times,
opencv_core.UMat response) |
opencv_core.MatVector |
opencv_core.MatVector.put(opencv_core.MatVector x) |
void |
opencv_features2d.DescriptorMatcher.radiusMatch(opencv_core.Mat queryDescriptors,
opencv_core.DMatchVectorVector matches,
float maxDistance,
opencv_core.MatVector masks,
boolean compactResult)
\overload
|
void |
opencv_features2d.DescriptorMatcher.radiusMatch(opencv_core.UMat queryDescriptors,
opencv_core.DMatchVectorVector matches,
float maxDistance,
opencv_core.MatVector masks,
boolean compactResult) |
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.
|
static float |
opencv_calib3d.rectify3Collinear(opencv_core.UMat cameraMatrix1,
opencv_core.UMat distCoeffs1,
opencv_core.UMat cameraMatrix2,
opencv_core.UMat distCoeffs2,
opencv_core.UMat cameraMatrix3,
opencv_core.UMat distCoeffs3,
opencv_core.MatVector imgpt1,
opencv_core.MatVector imgpt3,
opencv_core.Size imageSize,
opencv_core.UMat R12,
opencv_core.UMat T12,
opencv_core.UMat R13,
opencv_core.UMat T13,
opencv_core.UMat R1,
opencv_core.UMat R2,
opencv_core.UMat R3,
opencv_core.UMat P1,
opencv_core.UMat P2,
opencv_core.UMat P3,
opencv_core.UMat Q,
double alpha,
opencv_core.Size newImgSize,
opencv_core.Rect roi1,
opencv_core.Rect roi2,
int flags) |
void |
opencv_videostab.InpainterBase.setFrames(opencv_core.MatVector val) |
void |
opencv_videostab.InpaintingPipeline.setFrames(opencv_core.MatVector val) |
void |
opencv_videostab.DeblurerBase.setFrames(opencv_core.MatVector val) |
void |
opencv_videostab.InpainterBase.setMotions(opencv_core.MatVector val) |
void |
opencv_videostab.InpaintingPipeline.setMotions(opencv_core.MatVector val) |
void |
opencv_videostab.DeblurerBase.setMotions(opencv_core.MatVector val) |
void |
opencv_videostab.WobbleSuppressorBase.setMotions(opencv_core.MatVector val) |
void |
opencv_videostab.WobbleSuppressorBase.setMotions2(opencv_core.MatVector val) |
void |
opencv_videostab.InpainterBase.setStabilizationMotions(opencv_core.MatVector val) |
void |
opencv_videostab.InpaintingPipeline.setStabilizationMotions(opencv_core.MatVector val) |
void |
opencv_videostab.WobbleSuppressorBase.setStabilizationMotions(opencv_core.MatVector val) |
void |
opencv_videostab.InpainterBase.setStabilizedFrames(opencv_core.MatVector val) |
void |
opencv_videostab.InpaintingPipeline.setStabilizedFrames(opencv_core.MatVector val) |
static void |
opencv_core.split(opencv_core.Mat m,
opencv_core.MatVector mv)
\overload
|
static void |
opencv_core.split(opencv_core.UMat m,
opencv_core.MatVector mv) |
opencv_core.Mat |
opencv_videostab.MotionFilterBase.stabilize(int idx,
opencv_core.MatVector motions,
opencv_core.IntIntPair range) |
opencv_core.Mat |
opencv_videostab.GaussianMotionFilter.stabilize(int idx,
opencv_core.MatVector motions,
opencv_core.IntIntPair range) |
void |
opencv_videostab.IMotionStabilizer.stabilize(int size,
opencv_core.MatVector motions,
opencv_core.IntIntPair range,
opencv_core.Mat stabilizationMotions)
assumes that [0, size-1) is in or equals to [range.first, range.second)
|
void |
opencv_videostab.MotionStabilizationPipeline.stabilize(int size,
opencv_core.MatVector motions,
opencv_core.IntIntPair range,
opencv_core.Mat stabilizationMotions) |
void |
opencv_videostab.MotionFilterBase.stabilize(int size,
opencv_core.MatVector motions,
opencv_core.IntIntPair range,
opencv_core.Mat stabilizationMotions) |
void |
opencv_videostab.LpMotionStabilizer.stabilize(int size,
opencv_core.MatVector motions,
opencv_core.IntIntPair range,
opencv_core.Mat stabilizationMotions) |
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) |
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) |
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.
|
static double |
opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints1,
opencv_core.MatVector imagePoints2,
opencv_core.UMat K1,
opencv_core.UMat D1,
opencv_core.UMat K2,
opencv_core.UMat D2,
opencv_core.Size imageSize,
opencv_core.UMat R,
opencv_core.UMat T) |
static double |
opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints1,
opencv_core.MatVector imagePoints2,
opencv_core.UMat K1,
opencv_core.UMat D1,
opencv_core.UMat K2,
opencv_core.UMat D2,
opencv_core.Size imageSize,
opencv_core.UMat R,
opencv_core.UMat T,
int flags,
opencv_core.TermCriteria criteria) |
static double |
opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints1,
opencv_core.MatVector imagePoints2,
opencv_core.UMat cameraMatrix1,
opencv_core.UMat distCoeffs1,
opencv_core.UMat cameraMatrix2,
opencv_core.UMat distCoeffs2,
opencv_core.Size imageSize,
opencv_core.UMat R,
opencv_core.UMat T,
opencv_core.UMat E,
opencv_core.UMat F) |
static double |
opencv_calib3d.stereoCalibrate(opencv_core.MatVector objectPoints,
opencv_core.MatVector imagePoints1,
opencv_core.MatVector imagePoints2,
opencv_core.UMat cameraMatrix1,
opencv_core.UMat distCoeffs1,
opencv_core.UMat cameraMatrix2,
opencv_core.UMat distCoeffs2,
opencv_core.Size imageSize,
opencv_core.UMat R,
opencv_core.UMat T,
opencv_core.UMat E,
opencv_core.UMat F,
int flags,
opencv_core.TermCriteria criteria) |
int |
opencv_stitching.Stitcher.stitch(opencv_core.MatVector images,
opencv_core.Mat pano)
\overload
|
int |
opencv_stitching.Stitcher.stitch(opencv_core.MatVector images,
opencv_core.RectVectorVector rois,
opencv_core.Mat pano)
\brief These functions try to stitch the given images.
|
int |
opencv_stitching.Stitcher.stitch(opencv_core.MatVector images,
opencv_core.RectVectorVector rois,
opencv_core.UMat pano) |
int |
opencv_stitching.Stitcher.stitch(opencv_core.MatVector images,
opencv_core.UMat pano) |
void |
opencv_face.FaceRecognizer.train(opencv_core.MatVector src,
opencv_core.Mat labels)
\brief Trains a FaceRecognizer with given data and associated labels.
|
void |
opencv_face.FaceRecognizer.train(opencv_core.MatVector src,
opencv_core.UMat labels) |
void |
opencv_face.FaceRecognizer.update(opencv_core.MatVector src,
opencv_core.Mat labels)
\brief Updates a FaceRecognizer with given data and associated labels.
|
void |
opencv_face.FaceRecognizer.update(opencv_core.MatVector src,
opencv_core.UMat labels) |
static void |
opencv_core.vconcat(opencv_core.MatVector src,
opencv_core.Mat dst)
\overload
|
static void |
opencv_core.vconcat(opencv_core.MatVector src,
opencv_core.UMat dst) |
static void |
opencv_stitching.waveCorrect(opencv_core.MatVector rmats,
int kind)
\brief Tries to make panorama more horizontal (or vertical).
|
| Constructor and Description |
|---|
LDA(opencv_core.MatVector src,
opencv_core.Mat labels) |
LDA(opencv_core.MatVector src,
opencv_core.Mat labels,
int num_components)
Initializes and performs a Discriminant Analysis with Fisher's
Optimization Criterion on given data in src and corresponding labels
in labels.
|
LDA(opencv_core.MatVector src,
opencv_core.UMat labels) |
LDA(opencv_core.MatVector src,
opencv_core.UMat labels,
int num_components) |
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