Uses of Class
org.opencv.core.MatOfInt
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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.videoio org.opencv.xfeatures2d -
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Uses of MatOfInt in org.opencv.aruco
Methods in org.opencv.aruco that return MatOfInt Modifier and Type Method Description MatOfInt
Board. get_ids()
Methods in org.opencv.aruco with parameters of type MatOfInt Modifier and Type Method Description void
Board. set_ids(MatOfInt ids)
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Uses of MatOfInt in org.opencv.core
Methods in org.opencv.core that return MatOfInt Modifier and Type Method Description static MatOfInt
MatOfInt. fromNativeAddr(long addr)
Methods in org.opencv.core with parameters of type MatOfInt Modifier and Type Method Description static void
Core. mixChannels(List<Mat> src, List<Mat> dst, MatOfInt fromTo)
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Uses of MatOfInt in org.opencv.dnn
Methods in org.opencv.dnn that return MatOfInt Modifier and Type Method 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 Description void
DetectionModel. detect(Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes)
Given theinput
frame, create input blob, run net and return result detections.void
DetectionModel. detect(Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes, float confThreshold)
Given theinput
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 theinput
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 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)
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Uses of MatOfInt in org.opencv.face
Methods in org.opencv.face that return MatOfInt Modifier and Type Method 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 Description static BRISK
BRISK. create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList)
The BRISK constructor for a custom pattern, detection threshold and octavesstatic BRISK
BRISK. create(int thresh, int octaves, MatOfFloat radiusList, MatOfInt numberList, float dMax)
The BRISK constructor for a custom pattern, detection threshold and octavesstatic 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 octavesstatic 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 octavesstatic BRISK
BRISK. create(MatOfFloat radiusList, MatOfInt numberList)
The BRISK constructor for a custom patternstatic BRISK
BRISK. create(MatOfFloat radiusList, MatOfInt numberList, float dMax)
The BRISK constructor for a custom patternstatic BRISK
BRISK. create(MatOfFloat radiusList, MatOfInt numberList, float dMax, float dMin)
The BRISK constructor for a custom patternstatic 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 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.static boolean
Imgcodecs. imwritemulti(String filename, List<Mat> img, MatOfInt params)
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Uses of MatOfInt in org.opencv.imgproc
Methods in org.opencv.imgproc with parameters of type MatOfInt Modifier and Type Method 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 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)
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Uses of MatOfInt in org.opencv.videoio
Methods in org.opencv.videoio with parameters of type MatOfInt Modifier and Type Method Description boolean
VideoCapture. open(int index, int apiPreference, MatOfInt params)
Returns true if video capturing has been initialized already.boolean
VideoCapture. open(String filename, int apiPreference, MatOfInt params)
Opens a camera for video capturing Theparams
parameter allows to specify extra parameters encoded as pairs(paramId_1, paramValue_1, paramId_2, paramValue_2, ...)
.boolean
VideoWriter. open(String filename, int fourcc, double fps, Size frameSize, MatOfInt params)
boolean
VideoWriter. open(String filename, int apiPreference, int fourcc, double fps, Size frameSize, MatOfInt params)
Constructors in org.opencv.videoio with parameters of type MatOfInt Constructor Description VideoCapture(int index, int apiPreference, MatOfInt params)
Opens a camera for video capturing with API Preference and parameters Theparams
parameter allows to specify extra parameters encoded as pairs(paramId_1, paramValue_1, paramId_2, paramValue_2, ...)
.VideoCapture(String filename, int apiPreference, MatOfInt params)
Opens a video file or a capturing device or an IP video stream for video capturing with API Preference and parameters Theparams
parameter allows to specify extra parameters encoded as pairs(paramId_1, paramValue_1, paramId_2, paramValue_2, ...)
.VideoWriter(String filename, int fourcc, double fps, Size frameSize, MatOfInt params)
Theparams
parameter allows to specify extra encoder parameters encoded as pairs (paramId_1, paramValue_1, paramId_2, paramValue_2, ...VideoWriter(String filename, int apiPreference, int fourcc, double fps, Size frameSize, MatOfInt params)
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Uses of MatOfInt in org.opencv.xfeatures2d
Methods in org.opencv.xfeatures2d that return MatOfInt Modifier and Type Method 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 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.
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