| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
opencv_core.Size |
opencv_objdetect.HOGDescriptor.blockSize() |
opencv_core.Size |
opencv_objdetect.HOGDescriptor.blockStride() |
opencv_core.Size |
opencv_objdetect.HOGDescriptor.cellSize() |
opencv_core.Size |
opencv_contrib.SelfSimDescriptor.getGridSize(opencv_core.Size imgsize,
opencv_core.Size winStride) |
opencv_core.Size |
opencv_objdetect.CascadeClassifier.getOriginalWindowSize() |
opencv_core.Size |
opencv_legacy.FernClassifier.getPatchSize() |
static opencv_core.Size |
opencv_core.getTextSize(BytePointer text,
int fontFace,
double fontScale,
int thickness,
int[] baseLine) |
static opencv_core.Size |
opencv_core.getTextSize(BytePointer text,
int fontFace,
double fontScale,
int thickness,
IntBuffer baseLine) |
static opencv_core.Size |
opencv_core.getTextSize(BytePointer text,
int fontFace,
double fontScale,
int thickness,
IntPointer baseLine)
returns bounding box of the text string
|
static opencv_core.Size |
opencv_core.getTextSize(String text,
int fontFace,
double fontScale,
int thickness,
int[] baseLine) |
static opencv_core.Size |
opencv_core.getTextSize(String text,
int fontFace,
double fontScale,
int thickness,
IntBuffer baseLine) |
static opencv_core.Size |
opencv_core.getTextSize(String text,
int fontFace,
double fontScale,
int thickness,
IntPointer baseLine) |
opencv_core.Size |
opencv_imgproc.CLAHE.getTilesGridSize() |
opencv_core.Size |
opencv_core.Size.height(int height) |
opencv_core.Size |
opencv_stitching.ImageFeatures.img_size() |
opencv_core.Size |
opencv_contrib.Retina.inputSize()
retreive retina input buffer size
|
opencv_core.Size |
opencv_imgproc.BaseFilter.ksize() |
opencv_core.Size |
opencv_imgproc.FilterEngine.ksize() |
opencv_core.Size |
opencv_contrib.Retina.outputSize()
retreive retina output buffer size
|
opencv_core.Size |
opencv_legacy.OneWayDescriptorMatcher.Params.patchSize() |
opencv_core.Size |
opencv_core.Size.position(int position) |
opencv_core.Size |
opencv_core.Size.put(opencv_core.Size sz) |
opencv_core.Size |
opencv_core.Rect.size()
size (width, height) of the rectangle
|
opencv_core.Size |
opencv_core.Mat.size() |
opencv_core.Size |
opencv_imgproc.FilterEngine.wholeSize() |
opencv_core.Size |
opencv_core.Size.width(int width) |
opencv_core.Size |
opencv_objdetect.HOGDescriptor.winSize() |
opencv_core.Size |
opencv_videostab.PyrLkOptFlowEstimatorBase.winSize() |
| Modifier and Type | Method and Description |
|---|---|
static void |
opencv_imgproc.adaptiveBilateralFilter(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size ksize,
double sigmaSpace) |
static void |
opencv_imgproc.adaptiveBilateralFilter(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size ksize,
double sigmaSpace,
double maxSigmaColor,
opencv_core.Point anchor,
int borderType)
smooths the image using adaptive bilateral filter
|
void |
opencv_legacy.PatchGenerator.apply(opencv_core.Mat image,
opencv_core.Mat transform,
opencv_core.Mat patch,
opencv_core.Size patchSize,
opencv_core.RNG rng) |
void |
opencv_legacy.PatchGenerator.apply(opencv_core.Mat image,
opencv_core.Point2f pt,
opencv_core.Mat patch,
opencv_core.Size patchSize,
opencv_core.RNG rng) |
opencv_objdetect.HOGDescriptor |
opencv_objdetect.HOGDescriptor.blockSize(opencv_core.Size blockSize) |
opencv_objdetect.HOGDescriptor |
opencv_objdetect.HOGDescriptor.blockStride(opencv_core.Size blockStride) |
static void |
opencv_imgproc.blur(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size ksize) |
static void |
opencv_imgproc.blur(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size ksize,
opencv_core.Point anchor,
int borderType)
a synonym for normalized box filter
|
static void |
opencv_imgproc.boxFilter(opencv_core.Mat src,
opencv_core.Mat dst,
int ddepth,
opencv_core.Size ksize) |
static void |
opencv_imgproc.boxFilter(opencv_core.Mat src,
opencv_core.Mat dst,
int ddepth,
opencv_core.Size ksize,
opencv_core.Point anchor,
boolean normalize,
int borderType)
smooths the image using the box filter.
|
opencv_core.Rect |
opencv_stitching.DetailPlaneWarperGpu.buildMaps(opencv_core.Size src_size,
opencv_core.Mat K,
opencv_core.Mat R,
opencv_core.GpuMat xmap,
opencv_core.GpuMat ymap) |
opencv_core.Rect |
opencv_stitching.DetailSphericalWarperGpu.buildMaps(opencv_core.Size src_size,
opencv_core.Mat K,
opencv_core.Mat R,
opencv_core.GpuMat xmap,
opencv_core.GpuMat ymap) |
opencv_core.Rect |
opencv_stitching.DetailCylindricalWarperGpu.buildMaps(opencv_core.Size src_size,
opencv_core.Mat K,
opencv_core.Mat R,
opencv_core.GpuMat xmap,
opencv_core.GpuMat 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.GpuMat xmap,
opencv_core.GpuMat ymap) |
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) |
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) |
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)
constructs a pyramid which can be used as input for calcOpticalFlowPyrLK
|
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)
computes sparse optical flow using multi-scale Lucas-Kanade algorithm
|
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)
finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.
|
static void |
opencv_calib3d.calibrationMatrixValues(opencv_core.Mat cameraMatrix,
opencv_core.Size imageSize,
double apertureWidth,
double apertureHeight,
double[] fovx,
double[] fovy,
double[] focalLength,
opencv_core.Point2d principalPoint,
double[] aspectRatio) |
static void |
opencv_calib3d.calibrationMatrixValues(opencv_core.Mat cameraMatrix,
opencv_core.Size imageSize,
double apertureWidth,
double apertureHeight,
DoubleBuffer fovx,
DoubleBuffer fovy,
DoubleBuffer focalLength,
opencv_core.Point2d principalPoint,
DoubleBuffer aspectRatio) |
static void |
opencv_calib3d.calibrationMatrixValues(opencv_core.Mat cameraMatrix,
opencv_core.Size imageSize,
double apertureWidth,
double apertureHeight,
DoublePointer fovx,
DoublePointer fovy,
DoublePointer focalLength,
opencv_core.Point2d principalPoint,
DoublePointer aspectRatio)
computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size.
|
void |
opencv_core.BinaryFunc.call(BytePointer src1,
long step1,
BytePointer src2,
long step2,
BytePointer dst,
long step,
opencv_core.Size sz,
Pointer arg7) |
opencv_objdetect.HOGDescriptor |
opencv_objdetect.HOGDescriptor.cellSize(opencv_core.Size cellSize) |
static boolean |
opencv_core.clipLine(opencv_core.Size imgSize,
opencv_core.Point pt1,
opencv_core.Point pt2)
clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height)
|
void |
opencv_contrib.SelfSimDescriptor.compute(opencv_core.Mat img,
float[] descriptors,
opencv_core.Size winStride,
opencv_core.Point locations) |
void |
opencv_objdetect.HOGDescriptor.compute(opencv_core.Mat img,
float[] descriptors,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point locations) |
void |
opencv_contrib.SelfSimDescriptor.compute(opencv_core.Mat img,
FloatBuffer descriptors,
opencv_core.Size winStride,
opencv_core.Point locations) |
void |
opencv_objdetect.HOGDescriptor.compute(opencv_core.Mat img,
FloatBuffer descriptors,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point locations) |
void |
opencv_contrib.SelfSimDescriptor.compute(opencv_core.Mat img,
FloatPointer descriptors,
opencv_core.Size winStride,
opencv_core.Point locations) |
void |
opencv_objdetect.HOGDescriptor.compute(opencv_core.Mat img,
FloatPointer descriptors,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point locations) |
void |
opencv_objdetect.HOGDescriptor.computeGradient(opencv_core.Mat img,
opencv_core.Mat grad,
opencv_core.Mat angleOfs,
opencv_core.Size paddingTL,
opencv_core.Size paddingBR) |
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)
adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria
|
void |
opencv_core.Mat.create(opencv_core.Size size,
int type) |
static opencv_imgproc.FilterEngine |
opencv_imgproc.createBoxFilter(int srcType,
int dstType,
opencv_core.Size ksize) |
static opencv_imgproc.FilterEngine |
opencv_imgproc.createBoxFilter(int srcType,
int dstType,
opencv_core.Size ksize,
opencv_core.Point anchor,
boolean normalize,
int borderType)
returns box filter engine
|
static opencv_imgproc.CLAHE |
opencv_imgproc.createCLAHE(double clipLimit,
opencv_core.Size tileGridSize) |
static opencv_imgproc.FilterEngine |
opencv_imgproc.createGaussianFilter(int type,
opencv_core.Size ksize,
double sigma1) |
static opencv_imgproc.FilterEngine |
opencv_imgproc.createGaussianFilter(int type,
opencv_core.Size ksize,
double sigma1,
double sigma2,
int borderType)
returns the Gaussian filter engine
|
static void |
opencv_imgproc.createHanningWindow(opencv_core.Mat dst,
opencv_core.Size winSize,
int type) |
void |
opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img,
opencv_core.Point foundLocations,
double[] weights,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point searchLocations) |
void |
opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img,
opencv_core.Point foundLocations,
DoubleBuffer weights,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point searchLocations) |
void |
opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img,
opencv_core.Point foundLocations,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point searchLocations) |
void |
opencv_objdetect.HOGDescriptor.detect(opencv_core.Mat img,
opencv_core.Point foundLocations,
DoublePointer weights,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
opencv_core.Point searchLocations) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img,
opencv_core.Rect foundLocations,
double[] foundWeights,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
double scale,
double finalThreshold,
boolean useMeanshiftGrouping) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img,
opencv_core.Rect foundLocations,
DoubleBuffer foundWeights,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
double scale,
double finalThreshold,
boolean useMeanshiftGrouping) |
void |
opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image,
opencv_core.Rect objects,
double scaleFactor,
int minNeighbors,
int flags,
opencv_core.Size minSize,
opencv_core.Size maxSize) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img,
opencv_core.Rect foundLocations,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
double scale,
double finalThreshold,
boolean useMeanshiftGrouping) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img,
opencv_core.Rect foundLocations,
DoublePointer foundWeights,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding,
double scale,
double finalThreshold,
boolean useMeanshiftGrouping) |
void |
opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image,
opencv_core.Rect objects,
int[] rejectLevels,
double[] levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
opencv_core.Size minSize,
opencv_core.Size maxSize,
boolean outputRejectLevels) |
void |
opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image,
opencv_core.Rect objects,
IntBuffer rejectLevels,
DoubleBuffer levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
opencv_core.Size minSize,
opencv_core.Size maxSize,
boolean outputRejectLevels) |
void |
opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image,
opencv_core.Rect objects,
IntPointer rejectLevels,
DoublePointer levelWeights,
double scaleFactor,
int minNeighbors,
int flags,
opencv_core.Size minSize,
opencv_core.Size maxSize,
boolean outputRejectLevels) |
void |
opencv_objdetect.HOGDescriptor.detectROI(opencv_core.Mat img,
opencv_core.Point locations,
opencv_core.Point foundLocations,
double[] confidences,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding) |
void |
opencv_objdetect.HOGDescriptor.detectROI(opencv_core.Mat img,
opencv_core.Point locations,
opencv_core.Point foundLocations,
DoubleBuffer confidences,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding) |
void |
opencv_objdetect.HOGDescriptor.detectROI(opencv_core.Mat img,
opencv_core.Point locations,
opencv_core.Point foundLocations,
DoublePointer confidences,
double hitThreshold,
opencv_core.Size winStride,
opencv_core.Size padding) |
static void |
opencv_calib3d.drawChessboardCorners(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat corners,
boolean patternWasFound)
draws the checkerboard pattern (found or partly found) in the image
|
static void |
opencv_core.ellipse(opencv_core.Mat img,
opencv_core.Point center,
opencv_core.Size axes,
double angle,
double startAngle,
double endAngle,
opencv_core.Scalar color) |
static void |
opencv_core.ellipse(opencv_core.Mat img,
opencv_core.Point center,
opencv_core.Size axes,
double angle,
double startAngle,
double endAngle,
opencv_core.Scalar color,
int thickness,
int lineType,
int shift)
draws an elliptic arc, ellipse sector or a rotated ellipse in the image
|
static void |
opencv_core.ellipse2Poly(opencv_core.Point center,
opencv_core.Size axes,
int angle,
int arcStart,
int arcEnd,
int delta,
opencv_core.Point pts)
converts elliptic arc to a polygonal curve
|
static opencv_core.Mat |
opencv_videostab.ensureInclusionConstraint(opencv_core.Mat M,
opencv_core.Size size,
float trimRatio) |
static float |
opencv_videostab.estimateOptimalTrimRatio(opencv_core.Mat M,
opencv_core.Size size) |
static opencv_core.MatExpr |
opencv_core.Mat.eye(opencv_core.Size size,
int type) |
void |
opencv_stitching.VoronoiSeamFinder.find(opencv_core.Size size,
opencv_core.Point corners,
opencv_core.MatVector masks) |
static boolean |
opencv_calib3d.find4QuadCornerSubpix(opencv_core.Mat img,
opencv_core.Mat corners,
opencv_core.Size region_size)
finds subpixel-accurate positions of the chessboard corners
|
static boolean |
opencv_calib3d.findChessboardCorners(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat corners) |
static boolean |
opencv_calib3d.findChessboardCorners(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat corners,
int flags)
finds checkerboard pattern of the specified size in the image
|
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers) |
static boolean |
opencv_calib3d.findCirclesGrid(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers,
int flags,
opencv_features2d.FeatureDetector blobDetector)
finds circles' grid pattern of the specified size in the image
|
static boolean |
opencv_calib3d.findCirclesGridDefault(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers) |
static boolean |
opencv_calib3d.findCirclesGridDefault(opencv_core.Mat image,
opencv_core.Size patternSize,
opencv_core.Mat centers,
int flags)
the deprecated function.
|
static void |
opencv_imgproc.GaussianBlur(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size ksize,
double sigmaX) |
static void |
opencv_imgproc.GaussianBlur(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size ksize,
double sigmaX,
double sigmaY,
int borderType)
smooths the image using Gaussian filter.
|
static opencv_core.Mat |
opencv_imgproc.getDefaultNewCameraMatrix(opencv_core.Mat cameraMatrix,
opencv_core.Size imgsize,
boolean centerPrincipalPoint)
returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true)
|
static opencv_core.Mat |
opencv_imgproc.getGaborKernel(opencv_core.Size ksize,
double sigma,
double theta,
double lambd,
double gamma) |
static opencv_core.Mat |
opencv_imgproc.getGaborKernel(opencv_core.Size ksize,
double sigma,
double theta,
double lambd,
double gamma,
double psi,
int ktype)
returns the Gabor kernel with the specified parameters
|
opencv_core.Size |
opencv_contrib.SelfSimDescriptor.getGridSize(opencv_core.Size imgsize,
opencv_core.Size winStride) |
static opencv_core.Mat |
opencv_calib3d.getOptimalNewCameraMatrix(opencv_core.Mat cameraMatrix,
opencv_core.Mat distCoeffs,
opencv_core.Size imageSize,
double alpha) |
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)
returns the optimal new camera matrix
|
static void |
opencv_imgproc.getRectSubPix(opencv_core.Mat image,
opencv_core.Size patchSize,
opencv_core.Point2f center,
opencv_core.Mat patch) |
static void |
opencv_imgproc.getRectSubPix(opencv_core.Mat image,
opencv_core.Size patchSize,
opencv_core.Point2f center,
opencv_core.Mat patch,
int patchType)
extracts rectangle from the image at sub-pixel location
|
static opencv_core.Mat |
opencv_imgproc.getStructuringElement(int shape,
opencv_core.Size ksize) |
static opencv_core.Mat |
opencv_imgproc.getStructuringElement(int shape,
opencv_core.Size ksize,
opencv_core.Point anchor)
returns structuring element of the specified shape and size
|
static void |
opencv_objdetect.groupRectangles_meanshift(opencv_core.Rect rectList,
double[] foundWeights,
double[] foundScales,
double detectThreshold,
opencv_core.Size winDetSize) |
static void |
opencv_objdetect.groupRectangles_meanshift(opencv_core.Rect rectList,
DoubleBuffer foundWeights,
DoubleBuffer foundScales,
double detectThreshold,
opencv_core.Size winDetSize) |
static void |
opencv_objdetect.groupRectangles_meanshift(opencv_core.Rect rectList,
DoublePointer foundWeights,
DoublePointer foundScales,
double detectThreshold,
opencv_core.Size winDetSize) |
opencv_stitching.ImageFeatures |
opencv_stitching.ImageFeatures.img_size(opencv_core.Size img_size) |
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)
initializes camera matrix from a few 3D points and the corresponding projections.
|
void |
opencv_video.BackgroundSubtractorGMG.initialize(opencv_core.Size frameSize,
double min,
double max)
Validate parameters and set up data structures for appropriate image size.
|
void |
opencv_video.BackgroundSubtractorMOG.initialize(opencv_core.Size frameSize,
int frameType)
re-initiaization method
|
void |
opencv_video.BackgroundSubtractorMOG2.initialize(opencv_core.Size frameSize,
int frameType)
re-initiaization method
|
static void |
opencv_imgproc.initUndistortRectifyMap(opencv_core.Mat cameraMatrix,
opencv_core.Mat distCoeffs,
opencv_core.Mat R,
opencv_core.Mat newCameraMatrix,
opencv_core.Size size,
int m1type,
opencv_core.Mat map1,
opencv_core.Mat map2)
initializes maps for cv::remap() to correct lens distortion and optionally rectify the image
|
static float |
opencv_imgproc.initWideAngleProjMap(opencv_core.Mat cameraMatrix,
opencv_core.Mat distCoeffs,
opencv_core.Size imageSize,
int destImageWidth,
int m1type,
opencv_core.Mat map1,
opencv_core.Mat map2) |
static float |
opencv_imgproc.initWideAngleProjMap(opencv_core.Mat cameraMatrix,
opencv_core.Mat distCoeffs,
opencv_core.Size imageSize,
int destImageWidth,
int m1type,
opencv_core.Mat map1,
opencv_core.Mat map2,
int projType,
double alpha)
initializes maps for cv::remap() for wide-angle
|
opencv_imgproc.BaseFilter |
opencv_imgproc.BaseFilter.ksize(opencv_core.Size ksize) |
opencv_imgproc.FilterEngine |
opencv_imgproc.FilterEngine.ksize(opencv_core.Size ksize) |
void |
opencv_core.Mat.locateROI(opencv_core.Size wholeSize,
opencv_core.Point ofs)
locates matrix header within a parent matrix.
|
static opencv_core.MatExpr |
opencv_core.Mat.ones(opencv_core.Size size,
int type) |
boolean |
opencv_highgui.VideoWriter.open(BytePointer filename,
int fourcc,
double fps,
opencv_core.Size frameSize) |
boolean |
opencv_highgui.VideoWriter.open(BytePointer filename,
int fourcc,
double fps,
opencv_core.Size frameSize,
boolean isColor) |
boolean |
opencv_highgui.VideoWriter.open(String filename,
int fourcc,
double fps,
opencv_core.Size frameSize) |
boolean |
opencv_highgui.VideoWriter.open(String filename,
int fourcc,
double fps,
opencv_core.Size frameSize,
boolean isColor) |
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) |
opencv_legacy.OneWayDescriptorMatcher.Params |
opencv_legacy.OneWayDescriptorMatcher.Params.patchSize(opencv_core.Size patchSize) |
void |
opencv_stitching.Blender.prepare(opencv_core.Point corners,
opencv_core.Size sizes) |
opencv_core.Size |
opencv_core.Size.put(opencv_core.Size sz) |
static void |
opencv_imgproc.pyrDown(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size dstsize,
int borderType)
smooths and downsamples the image
|
static void |
opencv_imgproc.pyrUp(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size dstsize,
int borderType)
upsamples and smoothes the image
|
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 void |
opencv_imgproc.resize(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size dsize) |
static void |
opencv_imgproc.resize(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Size dsize,
double fx,
double fy,
int interpolation)
resizes the image
|
static opencv_core.Rect |
opencv_stitching.resultRoi(opencv_core.Point corners,
opencv_core.Size sizes) |
static void |
opencv_features2d.KeyPointsFilter.runByImageBorder(opencv_features2d.KeyPoint keypoints,
opencv_core.Size imageSize,
int borderSize) |
boolean |
opencv_objdetect.FeatureEvaluator.setImage(opencv_core.Mat img,
opencv_core.Size origWinSize) |
void |
opencv_imgproc.CLAHE.setTilesGridSize(opencv_core.Size tileGridSize) |
void |
opencv_videostab.PyrLkOptFlowEstimatorBase.setWinSize(opencv_core.Size val) |
int |
opencv_imgproc.FilterEngine.start(opencv_core.Size wholeSize,
opencv_core.Rect roi) |
int |
opencv_imgproc.FilterEngine.start(opencv_core.Size wholeSize,
opencv_core.Rect roi,
int maxBufRows)
starts filtering of the specified ROI of an image of size wholeSize.
|
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,
opencv_core.TermCriteria criteria,
int flags)
finds intrinsic and extrinsic parameters of a stereo camera
|
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) |
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)
computes the rectification transformation for a stereo camera from its intrinsic and extrinsic parameters
|
static boolean |
opencv_calib3d.stereoRectifyUncalibrated(opencv_core.Mat points1,
opencv_core.Mat points2,
opencv_core.Mat F,
opencv_core.Size imgSize,
opencv_core.Mat H1,
opencv_core.Mat H2) |
static boolean |
opencv_calib3d.stereoRectifyUncalibrated(opencv_core.Mat points1,
opencv_core.Mat points2,
opencv_core.Mat F,
opencv_core.Size imgSize,
opencv_core.Mat H1,
opencv_core.Mat H2,
double threshold)
computes the rectification transformation for an uncalibrated stereo camera (zero distortion is assumed)
|
static void |
opencv_imgproc.warpAffine(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Mat M,
opencv_core.Size dsize) |
static void |
opencv_imgproc.warpAffine(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Mat M,
opencv_core.Size dsize,
int flags,
int borderMode,
opencv_core.Scalar borderValue)
warps the image using affine transformation
|
void |
opencv_stitching.RotationWarper.warpBackward(opencv_core.Mat src,
opencv_core.Mat K,
opencv_core.Mat R,
int interp_mode,
int border_mode,
opencv_core.Size dst_size,
opencv_core.Mat dst) |
static void |
opencv_imgproc.warpPerspective(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Mat M,
opencv_core.Size dsize) |
static void |
opencv_imgproc.warpPerspective(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Mat M,
opencv_core.Size dsize,
int flags,
int borderMode,
opencv_core.Scalar borderValue)
warps the image using perspective transformation
|
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.Mat T) |
opencv_imgproc.FilterEngine |
opencv_imgproc.FilterEngine.wholeSize(opencv_core.Size wholeSize) |
opencv_objdetect.HOGDescriptor |
opencv_objdetect.HOGDescriptor.winSize(opencv_core.Size winSize) |
static opencv_core.MatExpr |
opencv_core.Mat.zeros(opencv_core.Size size,
int type) |
| Constructor and Description |
|---|
opencv_contrib.Retina(opencv_core.Size inputSize)
Main constructor with most commun use setup : create an instance of color ready retina model
|
opencv_contrib.Retina(opencv_core.Size inputSize,
boolean colorMode) |
opencv_contrib.Retina(opencv_core.Size inputSize,
boolean colorMode,
int colorSamplingMethod,
boolean useRetinaLogSampling,
double reductionFactor,
double samplingStrenght)
Complete Retina filter constructor which allows all basic structural parameters definition
|
opencv_core.Mat(opencv_core.Size size,
int type) |
opencv_core.Mat(opencv_core.Size size,
int type,
opencv_core.Scalar s) |
opencv_core.Mat(opencv_core.Size size,
int type,
Pointer data) |
opencv_core.Mat(opencv_core.Size size,
int type,
Pointer data,
long step) |
opencv_core.Point(opencv_core.Size sz) |
opencv_core.Rect(opencv_core.Point org,
opencv_core.Size sz) |
opencv_core.Size(opencv_core.Size sz) |
opencv_highgui.VideoWriter(BytePointer filename,
int fourcc,
double fps,
opencv_core.Size frameSize) |
opencv_highgui.VideoWriter(BytePointer filename,
int fourcc,
double fps,
opencv_core.Size frameSize,
boolean isColor) |
opencv_highgui.VideoWriter(String filename,
int fourcc,
double fps,
opencv_core.Size frameSize) |
opencv_highgui.VideoWriter(String filename,
int fourcc,
double fps,
opencv_core.Size frameSize,
boolean isColor) |
opencv_legacy.OneWayDescriptorMatcher.Params(int poseCount,
opencv_core.Size patchSize,
BytePointer pcaFilename,
BytePointer trainPath,
BytePointer trainImagesList,
float minScale,
float maxScale,
float stepScale) |
opencv_legacy.OneWayDescriptorMatcher.Params(int poseCount,
opencv_core.Size patchSize,
String pcaFilename,
String trainPath,
String trainImagesList,
float minScale,
float maxScale,
float stepScale) |
opencv_objdetect.HOGDescriptor(opencv_core.Size _winSize,
opencv_core.Size _blockSize,
opencv_core.Size _blockStride,
opencv_core.Size _cellSize,
int _nbins) |
opencv_objdetect.HOGDescriptor(opencv_core.Size _winSize,
opencv_core.Size _blockSize,
opencv_core.Size _blockStride,
opencv_core.Size _cellSize,
int _nbins,
int _derivAperture,
double _winSigma,
int _histogramNormType,
double _L2HysThreshold,
boolean _gammaCorrection,
int _nlevels) |
opencv_stitching.OrbFeaturesFinder(opencv_core.Size _grid_size,
int nfeatures,
float scaleFactor,
int nlevels) |
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