Uses of Class
org.opencv.core.MatOfRect

Packages that use MatOfRect

Package	Description
org.opencv.core
org.opencv.dnn
org.opencv.face
org.opencv.features2d
org.opencv.objdetect
org.opencv.text
org.opencv.ximgproc

Uses of MatOfRect in org.opencv.core

Methods in org.opencv.core that return MatOfRect

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

Uses of MatOfRect in org.opencv.dnn

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

Modifier and Type	Method	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.

Uses of MatOfRect in org.opencv.face

Methods in org.opencv.face with parameters of type MatOfRect

Modifier and Type	Method	Description
boolean	Facemark.fit(Mat image, MatOfRect faces, List<MatOfPoint2f> landmarks)	Detect facial landmarks from an image.

Uses of MatOfRect in org.opencv.features2d

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

Modifier and Type	Method	Description
void	MSER.detectRegions(Mat image, List<MatOfPoint> msers, MatOfRect bboxes)	Detect %MSER regions

Uses of MatOfRect in org.opencv.objdetect

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

Modifier and Type	Method	Description
void	CascadeClassifier.detectMultiScale(Mat image, MatOfRect objects)	Detects objects of different sizes in the input image.
void	CascadeClassifier.detectMultiScale(Mat image, MatOfRect objects, double scaleFactor)	Detects objects of different sizes in the input image.
void	CascadeClassifier.detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors)	Detects objects of different sizes in the input image.
void	CascadeClassifier.detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags)	Detects objects of different sizes in the input image.
void	CascadeClassifier.detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize)	Detects objects of different sizes in the input image.
void	CascadeClassifier.detectMultiScale(Mat image, MatOfRect objects, double scaleFactor, int minNeighbors, int flags, Size minSize, Size maxSize)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold)	Detects objects of different sizes in the input image.
void	HOGDescriptor.detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights, double hitThreshold, Size winStride, Size padding, double scale, double finalThreshold, boolean useMeanshiftGrouping)	Detects objects of different sizes in the input image.
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 MatOfRect in org.opencv.text

Methods in org.opencv.text with parameters of type MatOfRect

Modifier and Type	Method	Description
void	TextDetector.detect(Mat inputImage, MatOfRect Bbox, MatOfFloat confidence)	Method that provides a quick and simple interface to detect text inside an image
void	TextDetectorCNN.detect(Mat inputImage, MatOfRect Bbox, MatOfFloat confidence)
static void	Text.detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects)	Extracts text regions from image.
static void	Text.detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects, int method)	Extracts text regions from image.
static void	Text.detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects, int method, String filename)	Extracts text regions from image.
static void	Text.detectRegions(Mat image, ERFilter er_filter1, ERFilter er_filter2, MatOfRect groups_rects, int method, String filename, float minProbability)	Extracts text regions from image.
static void	Text.detectTextSWT(Mat input, MatOfRect result, boolean dark_on_light)	Applies the Stroke Width Transform operator followed by filtering of connected components of similar Stroke Widths to return letter candidates.
static void	Text.detectTextSWT(Mat input, MatOfRect result, boolean dark_on_light, Mat draw)	Applies the Stroke Width Transform operator followed by filtering of connected components of similar Stroke Widths to return letter candidates.
static void	Text.detectTextSWT(Mat input, MatOfRect result, boolean dark_on_light, Mat draw, Mat chainBBs)	Applies the Stroke Width Transform operator followed by filtering of connected components of similar Stroke Widths to return letter candidates.
static void	Text.erGrouping(Mat image, Mat channel, List<MatOfPoint> regions, MatOfRect groups_rects)	Find groups of Extremal Regions that are organized as text blocks.
static void	Text.erGrouping(Mat image, Mat channel, List<MatOfPoint> regions, MatOfRect groups_rects, int method)	Find groups of Extremal Regions that are organized as text blocks.
static void	Text.erGrouping(Mat image, Mat channel, List<MatOfPoint> regions, MatOfRect groups_rects, int method, String filename)	Find groups of Extremal Regions that are organized as text blocks.
static void	Text.erGrouping(Mat image, Mat channel, List<MatOfPoint> regions, MatOfRect groups_rects, int method, String filename, float minProbablity)	Find groups of Extremal Regions that are organized as text blocks.

Uses of MatOfRect in org.opencv.ximgproc

Methods in org.opencv.ximgproc with parameters of type MatOfRect

Modifier and Type	Method	Description
void	EdgeBoxes.getBoundingBoxes(Mat edge_map, Mat orientation_map, MatOfRect boxes)	Returns array containing proposal boxes.
void	EdgeBoxes.getBoundingBoxes(Mat edge_map, Mat orientation_map, MatOfRect boxes, Mat scores)	Returns array containing proposal boxes.
void	SelectiveSearchSegmentation.process(MatOfRect rects)	Based on all images, graph segmentations and stragies, computes all possible rects and return them