Uses of Class
org.bytedeco.javacpp.opencv_core.RectVector

Packages that use opencv_core.RectVector

Package	Description
org.bytedeco.javacpp

Uses of opencv_core.RectVector in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return opencv_core.RectVector

Modifier and Type	Method and Description
opencv_core.RectVector	opencv_core.RectVectorVector.get(long i)
opencv_core.RectVector	opencv_core.RectVector.put(long i, opencv_core.Rect value)
opencv_core.RectVector	opencv_core.RectVector.put(opencv_core.Rect... array)
opencv_core.RectVector	opencv_core.RectVector.put(opencv_core.RectVector x)

Methods in org.bytedeco.javacpp with parameters of type opencv_core.RectVector

Modifier and Type	Method and Description
void	opencv_stitching.FeaturesFinder.apply(opencv_core.Mat image, opencv_stitching.ImageFeatures features, opencv_core.RectVector rois) \brief Finds features in the given image.
void	opencv_objdetect.DetectionBasedTracker.IDetector.detect(opencv_core.Mat image, opencv_core.RectVector objects)
void	opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects)
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations)
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, double[] foundWeights)
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector 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.RectVector foundLocations, DoubleBuffer foundWeights)
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, DoubleBuffer foundWeights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize) \brief Detects objects of different sizes in the input image.
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping) without found weights output
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, DoublePointer foundWeights)
void	opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img, opencv_core.RectVector foundLocations, DoublePointer foundWeights, double hitThreshold, opencv_core.Size winStride, opencv_core.Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping) with result weights output
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, int[] rejectLevels, double[] levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, int[] numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer rejectLevels, DoubleBuffer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.BaseCascadeClassifier.detectMultiScale(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer rejectLevels, DoublePointer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, int[] numDetections)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, int[] numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer numDetections)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer numDetections)
void	opencv_objdetect.CascadeClassifier.detectMultiScale2(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer numDetections, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize) \overload
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, int[] rejectLevels, double[] levelWeights)
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector 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.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, IntBuffer rejectLevels, DoubleBuffer levelWeights)
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector 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.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer rejectLevels, DoublePointer levelWeights)
void	opencv_objdetect.CascadeClassifier.detectMultiScale3(opencv_core.Mat image, opencv_core.RectVector objects, IntPointer rejectLevels, DoublePointer levelWeights, double scaleFactor, int minNeighbors, int flags, opencv_core.Size minSize, opencv_core.Size maxSize, boolean outputRejectLevels) \overload if outputRejectLevels is true returns rejectLevels and levelWeights
void	opencv_objdetect.HOGDescriptor.detectMultiScaleROI(opencv_core.Mat img, opencv_core.RectVector foundLocations, opencv_objdetect.DetectionROI locations)
void	opencv_objdetect.HOGDescriptor.detectMultiScaleROI(opencv_core.Mat img, opencv_core.RectVector foundLocations, opencv_objdetect.DetectionROI locations, double hitThreshold, int groupThreshold) evaluate specified ROI and return confidence value for each location in multiple scales
void	opencv_features2d.MSER.detectRegions(opencv_core.Mat image, opencv_core.PointVectorVector msers, opencv_core.RectVector bboxes) \brief Detect %MSER regions
void	opencv_objdetect.DetectionBasedTracker.getObjects(opencv_core.RectVector result)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, double[] foundWeights, double[] foundScales)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, double[] foundWeights, double[] foundScales, double detectThreshold, opencv_core.Size winDetSize)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, DoubleBuffer foundWeights, DoubleBuffer foundScales)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, DoubleBuffer foundWeights, DoubleBuffer foundScales, double detectThreshold, opencv_core.Size winDetSize)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, DoublePointer foundWeights, DoublePointer foundScales)
static void	opencv_objdetect.groupRectangles_meanshift(opencv_core.RectVector rectList, DoublePointer foundWeights, DoublePointer foundScales, double detectThreshold, opencv_core.Size winDetSize) \overload
void	opencv_objdetect.HOGDescriptor.groupRectangles(opencv_core.RectVector rectList, double[] weights, int groupThreshold, double eps)
void	opencv_objdetect.HOGDescriptor.groupRectangles(opencv_core.RectVector rectList, DoubleBuffer weights, int groupThreshold, double eps)
void	opencv_objdetect.HOGDescriptor.groupRectangles(opencv_core.RectVector rectList, DoublePointer weights, int groupThreshold, double eps)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int[] rejectLevels, double[] levelWeights, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int[] rejectLevels, double[] levelWeights, int groupThreshold, double eps)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int[] weights, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int[] weights, int groupThreshold, double eps)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntBuffer rejectLevels, DoubleBuffer levelWeights, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntBuffer rejectLevels, DoubleBuffer levelWeights, int groupThreshold, double eps)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntBuffer weights, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntBuffer weights, int groupThreshold, double eps)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int groupThreshold, double eps) \brief Groups the object candidate rectangles.
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int groupThreshold, double eps, int[] weights, double[] levelWeights)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int groupThreshold, double eps, IntBuffer weights, DoubleBuffer levelWeights)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, int groupThreshold, double eps, IntPointer weights, DoublePointer levelWeights) \overload
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntPointer rejectLevels, DoublePointer levelWeights, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntPointer rejectLevels, DoublePointer levelWeights, int groupThreshold, double eps) \overload
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntPointer weights, int groupThreshold)
static void	opencv_objdetect.groupRectangles(opencv_core.RectVector rectList, IntPointer weights, int groupThreshold, double eps) \overload
opencv_core.RectVectorVector	opencv_core.RectVectorVector.put(long i, opencv_core.RectVector value)
opencv_core.RectVectorVector	opencv_core.RectVectorVector.put(opencv_core.RectVector... array)
opencv_core.RectVector	opencv_core.RectVector.put(opencv_core.RectVector x)
static void	opencv_optflow.segmentMotion(opencv_core.Mat mhi, opencv_core.Mat segmask, opencv_core.RectVector boundingRects, double timestamp, double segThresh) \brief Splits a motion history image into a few parts corresponding to separate independent motions (for example, left hand, right hand).

Constructors in org.bytedeco.javacpp with parameters of type opencv_core.RectVector

Constructor and Description
opencv_core.RectVectorVector(opencv_core.RectVector... array)