| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Method and Description |
|---|---|
int |
opencv_objdetect.Detector.addTemplate(opencv_core.MatVector sources,
BytePointer class_id,
opencv_core.Mat object_mask,
opencv_core.Rect bounding_box)
\brief Add new object template.
|
int |
opencv_objdetect.Detector.addTemplate(opencv_core.MatVector sources,
String class_id,
opencv_core.Mat object_mask,
opencv_core.Rect bounding_box) |
void |
opencv_imgproc.FilterEngine.apply(opencv_core.Mat src,
opencv_core.Mat dst,
opencv_core.Rect srcRoi,
opencv_core.Point dstOfs,
boolean isolated)
applies filter to the specified ROI of the image.
|
void |
opencv_stitching.FeaturesFinder.apply(opencv_core.Mat image,
opencv_stitching.ImageFeatures features,
opencv_core.Rect rois) |
opencv_core.Mat |
opencv_core.Mat.apply(opencv_core.Rect roi) |
boolean |
opencv_objdetect.SimilarRects.apply(opencv_core.Rect r1,
opencv_core.Rect r2) |
static opencv_core.RotatedRect |
opencv_video.CamShift(opencv_core.Mat probImage,
opencv_core.Rect window,
opencv_core.TermCriteria criteria)
updates the object tracking window using CAMSHIFT algorithm
|
static boolean |
opencv_core.clipLine(opencv_core.Rect imgRect,
opencv_core.Point pt1,
opencv_core.Point pt2)
clips the line segment by the rectangle imgRect
|
void |
opencv_objdetect.CascadeClassifier.detectMultiScale(opencv_core.Mat image,
opencv_core.Rect objects) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img,
opencv_core.Rect foundLocations) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScale(opencv_core.Mat img,
opencv_core.Rect foundLocations,
double[] foundWeights) |
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) |
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) |
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) |
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) |
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) |
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.detectMultiScaleROI(opencv_core.Mat img,
opencv_core.Rect foundLocations,
opencv_objdetect.DetectionROI locations) |
void |
opencv_objdetect.HOGDescriptor.detectMultiScaleROI(opencv_core.Mat img,
opencv_core.Rect foundLocations,
opencv_objdetect.DetectionROI locations,
double hitThreshold,
int groupThreshold) |
void |
opencv_stitching.GraphCutSeamFinderGpu.findInPair(long first,
long second,
opencv_core.Rect roi) |
opencv_contrib.RectIntPairVector |
opencv_contrib.RectIntPairVector.first(long i,
opencv_core.Rect first) |
static int |
opencv_imgproc.floodFill(opencv_core.Mat image,
opencv_core.Mat mask,
opencv_core.Point seedPoint,
opencv_core.Scalar newVal,
opencv_core.Rect rect,
opencv_core.Scalar loDiff,
opencv_core.Scalar upDiff,
int flags)
fills the semi-uniform image region and/or the mask starting from the specified seed point
|
static int |
opencv_imgproc.floodFill(opencv_core.Mat image,
opencv_core.Point seedPoint,
opencv_core.Scalar newVal,
opencv_core.Rect rect,
opencv_core.Scalar loDiff,
opencv_core.Scalar upDiff,
int flags)
fills the semi-uniform image region starting from the specified seed point
|
void |
opencv_contrib.DetectionBasedTracker.getObjects(opencv_core.Rect result) |
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 opencv_core.Rect |
opencv_calib3d.getValidDisparityROI(opencv_core.Rect roi1,
opencv_core.Rect roi2,
int minDisparity,
int numberOfDisparities,
int SADWindowSize)
computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())
|
static void |
opencv_imgproc.grabCut(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_core.Rect rect,
opencv_core.Mat bgdModel,
opencv_core.Mat fgdModel,
int iterCount) |
static void |
opencv_imgproc.grabCut(opencv_core.Mat img,
opencv_core.Mat mask,
opencv_core.Rect rect,
opencv_core.Mat bgdModel,
opencv_core.Mat fgdModel,
int iterCount,
int mode)
segments the image using GrabCut algorithm
|
static void |
opencv_objdetect.groupRectangles_meanshift(opencv_core.Rect rectList,
double[] foundWeights,
double[] foundScales) |
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) |
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) |
static void |
opencv_objdetect.groupRectangles_meanshift(opencv_core.Rect rectList,
DoublePointer foundWeights,
DoublePointer foundScales,
double detectThreshold,
opencv_core.Size winDetSize) |
void |
opencv_objdetect.HOGDescriptor.groupRectangles(opencv_core.Rect rectList,
double[] weights,
int groupThreshold,
double eps) |
void |
opencv_objdetect.HOGDescriptor.groupRectangles(opencv_core.Rect rectList,
DoubleBuffer weights,
int groupThreshold,
double eps) |
void |
opencv_objdetect.HOGDescriptor.groupRectangles(opencv_core.Rect rectList,
DoublePointer weights,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int[] rejectLevels,
double[] levelWeights,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int[] rejectLevels,
double[] levelWeights,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int[] weights,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int[] weights,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntBuffer rejectLevels,
DoubleBuffer levelWeights,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntBuffer rejectLevels,
DoubleBuffer levelWeights,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntBuffer weights,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntBuffer weights,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int groupThreshold,
double eps,
int[] weights,
double[] levelWeights) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int groupThreshold,
double eps,
IntBuffer weights,
DoubleBuffer levelWeights) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
int groupThreshold,
double eps,
IntPointer weights,
DoublePointer levelWeights) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntPointer rejectLevels,
DoublePointer levelWeights,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntPointer rejectLevels,
DoublePointer levelWeights,
int groupThreshold,
double eps) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntPointer weights,
int groupThreshold) |
static void |
opencv_objdetect.groupRectangles(opencv_core.Rect rectList,
IntPointer weights,
int groupThreshold,
double eps) |
void |
opencv_imgproc.Subdiv2D.initDelaunay(opencv_core.Rect rect) |
boolean |
opencv_core.Point.inside(opencv_core.Rect r)
checks whether the point is inside the specified rectangle
|
static int |
opencv_video.meanShift(opencv_core.Mat probImage,
opencv_core.Rect window,
opencv_core.TermCriteria criteria)
updates the object tracking window using meanshift algorithm
|
void |
opencv_contrib.CvHybridTracker.newTracker(opencv_core.Mat image,
opencv_core.Rect selection) |
void |
opencv_contrib.CvMeanShiftTracker.newTrackingWindow(opencv_core.Mat image,
opencv_core.Rect selection) |
void |
opencv_contrib.CvFeatureTracker.newTrackingWindow(opencv_core.Mat image,
opencv_core.Rect selection) |
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) |
void |
opencv_stitching.Blender.prepare(opencv_core.Rect dst_roi) |
void |
opencv_stitching.FeatherBlender.prepare(opencv_core.Rect dst_roi) |
void |
opencv_stitching.MultiBandBlender.prepare(opencv_core.Rect dst_roi) |
opencv_core.RectVectorVector |
opencv_core.RectVectorVector.put(long i,
long j,
opencv_core.Rect value) |
opencv_core.Rect |
opencv_core.Rect.put(opencv_core.Rect r) |
opencv_core.RectVectorVector |
opencv_core.RectVectorVector.put(opencv_core.Rect[]... array) |
opencv_objdetect.LatentSvmDetector.ObjectDetection |
opencv_objdetect.LatentSvmDetector.ObjectDetection.rect(opencv_core.Rect rect) |
static void |
opencv_core.rectangle(opencv_core.Mat img,
opencv_core.Rect rec,
opencv_core.Scalar color) |
static void |
opencv_core.rectangle(opencv_core.Mat img,
opencv_core.Rect rec,
opencv_core.Scalar color,
int thickness,
int lineType,
int shift)
draws the rectangle outline or a solid rectangle covering rec in 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.
|
opencv_imgproc.FilterEngine |
opencv_imgproc.FilterEngine.roi(opencv_core.Rect roi) |
static void |
opencv_video.segmentMotion(opencv_core.Mat mhi,
opencv_core.Mat segmask,
opencv_core.Rect boundingRects,
double timestamp,
double segThresh) |
void |
opencv_contrib.CvMeanShiftTracker.setTrackingWindow(opencv_core.Rect _window) |
void |
opencv_contrib.CvFeatureTracker.setTrackingWindow(opencv_core.Rect _window) |
int |
opencv_imgproc.FilterEngine.start(opencv_core.Mat src,
opencv_core.Rect srcRoi,
boolean isolated,
int maxBufRows)
starts filtering of the specified ROI of the specified image.
|
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 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
|
| Constructor and Description |
|---|
opencv_core.Mat(opencv_core.Mat m,
opencv_core.Rect roi) |
opencv_core.Rect(opencv_core.Rect r) |
opencv_core.RectVectorVector(opencv_core.Rect[]... array) |
opencv_imgproc.Subdiv2D(opencv_core.Rect rect) |
opencv_objdetect.LatentSvmDetector.ObjectDetection(opencv_core.Rect rect,
float score) |
opencv_objdetect.LatentSvmDetector.ObjectDetection(opencv_core.Rect rect,
float score,
int classID) |
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