Uses of Class
org.opencv.core.MatOfInt

Packages that use MatOfInt

Package	Description
org.opencv.aruco
org.opencv.core
org.opencv.dnn
org.opencv.face
org.opencv.features2d
org.opencv.imgcodecs
org.opencv.imgproc
org.opencv.objdetect
org.opencv.xfeatures2d

Uses of MatOfInt in org.opencv.aruco

Methods in org.opencv.aruco that return MatOfInt

Modifier and Type	Method and Description
MatOfInt	Board.get_ids()

Uses of MatOfInt in org.opencv.core

Methods in org.opencv.core that return MatOfInt

Modifier and Type	Method and Description
static MatOfInt	MatOfInt.fromNativeAddr(long addr)

Methods in org.opencv.core with parameters of type MatOfInt

Modifier and Type	Method and Description
static void	Core.mixChannels(List<Mat> src, List<Mat> dst, MatOfInt fromTo)

Uses of MatOfInt in org.opencv.dnn

Methods in org.opencv.dnn that return MatOfInt

Modifier and Type	Method and Description
MatOfInt	Net.getUnconnectedOutLayers() Returns indexes of layers with unconnected outputs.

Methods in org.opencv.dnn with parameters of type MatOfInt

Modifier and Type	Method and Description
void	DetectionModel.detect(Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes) Given the input frame, create input blob, run net and return result detections.
void	DetectionModel.detect(Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes, float confThreshold) Given the input frame, create input blob, run net and return result detections.
void	DetectionModel.detect(Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes, float confThreshold, float nmsThreshold) Given the input frame, create input blob, run net and return result detections.
long	Net.getFLOPS(int layerId, MatOfInt netInputShape)
long	Net.getFLOPS(MatOfInt netInputShape)
void	Net.getMemoryConsumption(int layerId, MatOfInt netInputShape, long[] weights, long[] blobs)
void	Net.getMemoryConsumption(MatOfInt netInputShape, long[] weights, long[] blobs)
static void	Dnn.NMSBoxes(MatOfRect2d bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices) Performs non maximum suppression given boxes and corresponding scores.
static void	Dnn.NMSBoxes(MatOfRect2d bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta) Performs non maximum suppression given boxes and corresponding scores.
static void	Dnn.NMSBoxes(MatOfRect2d bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta, int top_k) Performs non maximum suppression given boxes and corresponding scores.
static void	Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices)
static void	Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta)
static void	Dnn.NMSBoxesRotated(MatOfRotatedRect bboxes, MatOfFloat scores, float score_threshold, float nms_threshold, MatOfInt indices, float eta, int top_k)
void	Net.setInputShape(String inputName, MatOfInt shape) Specify shape of network input.

Method parameters in org.opencv.dnn with type arguments of type MatOfInt

Modifier and Type	Method and Description
long	Net.getFLOPS(int layerId, List<MatOfInt> netInputShapes)
long	Net.getFLOPS(List<MatOfInt> netInputShapes) Computes FLOP for whole loaded model with specified input shapes.
void	Net.getMemoryConsumption(int layerId, List<MatOfInt> netInputShapes, long[] weights, long[] blobs)

Uses of MatOfInt in org.opencv.face

Methods in org.opencv.face that return MatOfInt

Modifier and Type	Method and Description
MatOfInt	FaceRecognizer.getLabelsByString(String str) Gets vector of labels by string.

Uses of MatOfInt in org.opencv.features2d

Methods in org.opencv.features2d with parameters of type MatOfInt

Modifier and Type	Method and Description
static BRISK	BRISK.create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList) The BRISK constructor for a custom pattern, detection threshold and octaves
static BRISK	BRISK.create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax) The BRISK constructor for a custom pattern, detection threshold and octaves
static BRISK	BRISK.create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin) The BRISK constructor for a custom pattern, detection threshold and octaves
static BRISK	BRISK.create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange) The BRISK constructor for a custom pattern, detection threshold and octaves
static BRISK	BRISK.create(MatOfFloat radiusList, MatOfInt numberList) The BRISK constructor for a custom pattern
static BRISK	BRISK.create(MatOfFloat radiusList, MatOfInt numberList, float dMax) The BRISK constructor for a custom pattern
static BRISK	BRISK.create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin) The BRISK constructor for a custom pattern
static BRISK	BRISK.create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin, MatOfInt indexChange) The BRISK constructor for a custom pattern

Uses of MatOfInt in org.opencv.imgcodecs

Methods in org.opencv.imgcodecs with parameters of type MatOfInt

Modifier and Type	Method and Description
static boolean	Imgcodecs.imencode(String ext, Mat img, MatOfByte buf, MatOfInt params) Encodes an image into a memory buffer.
static boolean	Imgcodecs.imwrite(String filename, Mat img, MatOfInt params) Saves an image to a specified file.

Uses of MatOfInt in org.opencv.imgproc

Methods in org.opencv.imgproc with parameters of type MatOfInt

Modifier and Type	Method and Description
static void	Imgproc.calcBackProject(List<Mat> images, MatOfInt channels, Mat hist, Mat dst, MatOfFloat ranges, double scale)
static void	Imgproc.calcHist(List<Mat> images, MatOfInt channels, Mat mask, Mat hist, MatOfInt histSize, MatOfFloat ranges)
static void	Imgproc.calcHist(List<Mat> images, MatOfInt channels, Mat mask, Mat hist, MatOfInt histSize, MatOfFloat ranges, boolean accumulate)
static void	Imgproc.convexHull(MatOfPoint points, MatOfInt hull) Finds the convex hull of a point set.
static void	Imgproc.convexHull(MatOfPoint points, MatOfInt hull, boolean clockwise) Finds the convex hull of a point set.
static void	Imgproc.convexityDefects(MatOfPoint contour, MatOfInt convexhull, MatOfInt4 convexityDefects) Finds the convexity defects of a contour.
void	Subdiv2D.getLeadingEdgeList(MatOfInt leadingEdgeList) Returns a list of the leading edge ID connected to each triangle.
void	Subdiv2D.getVoronoiFacetList(MatOfInt idx, List<MatOfPoint2f> facetList, MatOfPoint2f facetCenters) Returns a list of all Voronoi facets.

Uses of MatOfInt in org.opencv.objdetect

Methods in org.opencv.objdetect with parameters of type MatOfInt

Modifier and Type	Method and Description
void	CascadeClassifier.detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections)
void	CascadeClassifier.detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor)
void	CascadeClassifier.detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors)
void	CascadeClassifier.detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags)
void	CascadeClassifier.detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize)
void	CascadeClassifier.detectMultiScale2(Mat image, MatOfRect objects, MatOfInt numDetections, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights) This function allows you to retrieve the final stage decision certainty of classification.
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor) This function allows you to retrieve the final stage decision certainty of classification.
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors) This function allows you to retrieve the final stage decision certainty of classification.
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags) This function allows you to retrieve the final stage decision certainty of classification.
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize) This function allows you to retrieve the final stage decision certainty of classification.
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize) This function allows you to retrieve the final stage decision certainty of classification.
void	CascadeClassifier.detectMultiScale3(Mat image, MatOfRect objects, MatOfInt rejectLevels, MatOfDouble levelWeights, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize, boolean outputRejectLevels) This function allows you to retrieve the final stage decision certainty of classification.
static void	Objdetect.groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold)
static void	Objdetect.groupRectangles(MatOfRect rectList, MatOfInt weights, int groupThreshold, double eps)

Uses of MatOfInt in org.opencv.xfeatures2d

Methods in org.opencv.xfeatures2d that return MatOfInt

Modifier and Type	Method and Description
MatOfInt	PCTSignatures.getInitSeedIndexes() Initial seeds (initial number of clusters) for the k-means algorithm.

Methods in org.opencv.xfeatures2d with parameters of type MatOfInt

Modifier and Type	Method and Description
static FREAK	FREAK.create(boolean orientationNormalized, boolean scaleNormalized, float patternScale, int nOctaves, MatOfInt selectedPairs)
static PCTSignatures	PCTSignatures.create(MatOfPoint2f initSamplingPoints, MatOfInt initClusterSeedIndexes) Creates PCTSignatures algorithm using pre-generated sampling points and clusterization seeds indexes.
static void	Xfeatures2d.matchLOGOS(MatOfKeyPoint keypoints1, MatOfKeyPoint keypoints2, MatOfInt nn1, MatOfInt nn2, MatOfDMatch matches1to2) LOGOS (Local geometric support for high-outlier spatial verification) feature matching strategy described in CITE: Lowry2018LOGOSLG .
void	PCTSignatures.setInitSeedIndexes(MatOfInt initSeedIndexes) Initial seed indexes for the k-means algorithm.