Uses of Class
org.opencv.core.MatOfRect

Packages that use MatOfRect

Package	Description
org.opencv.core
org.opencv.dnn
org.opencv.features2d
org.opencv.objdetect

Uses of MatOfRect in org.opencv.core

Methods in org.opencv.core that return MatOfRect

Modifier and Type	Method and 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 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.
static void	Dnn.softNMSBoxes(MatOfRect bboxes, MatOfFloat scores, MatOfFloat updated_scores, float score_threshold, float nms_threshold, MatOfInt indices) Performs soft non maximum suppression given boxes and corresponding scores.
static void	Dnn.softNMSBoxes(MatOfRect bboxes, MatOfFloat scores, MatOfFloat updated_scores, float score_threshold, float nms_threshold, MatOfInt indices, long top_k) Performs soft non maximum suppression given boxes and corresponding scores.
static void	Dnn.softNMSBoxes(MatOfRect bboxes, MatOfFloat scores, MatOfFloat updated_scores, float score_threshold, float nms_threshold, MatOfInt indices, long top_k, float sigma) Performs soft non maximum suppression given boxes and corresponding scores.

Uses of MatOfRect in org.opencv.features2d

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

Modifier and Type	Method and 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 and 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 groupThreshold) 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 groupThreshold, 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)