Uses of Class
org.opencv.core.MatOfFloat
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Packages that use MatOfFloat Package Description org.opencv.core org.opencv.dnn org.opencv.features2d org.opencv.imgproc org.opencv.objdetect org.opencv.photo org.opencv.text org.opencv.video org.opencv.xfeatures2d -
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Uses of MatOfFloat in org.opencv.core
Methods in org.opencv.core that return MatOfFloat Modifier and Type Method Description static MatOfFloat
MatOfFloat. fromNativeAddr(long addr)
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Uses of MatOfFloat in org.opencv.dnn
Methods in org.opencv.dnn with parameters of type MatOfFloat 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.void
TextDetectionModel. detect(Mat frame, List<MatOfPoint> detections, MatOfFloat confidences)
Performs detection Given the inputframe
, prepare network input, run network inference, post-process network output and return result detections.void
TextDetectionModel. detectTextRectangles(Mat frame, MatOfRotatedRect detections, MatOfFloat confidences)
Performs detection Given the inputframe
, prepare network input, run network inference, post-process network output and return result detections.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)
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Uses of MatOfFloat in org.opencv.features2d
Methods in org.opencv.features2d with parameters of type MatOfFloat 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 patternvoid
AffineFeature. getViewParams(MatOfFloat tilts, MatOfFloat rolls)
void
AffineFeature. setViewParams(MatOfFloat tilts, MatOfFloat rolls)
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Uses of MatOfFloat in org.opencv.imgproc
Methods in org.opencv.imgproc with parameters of type MatOfFloat 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)
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Uses of MatOfFloat in org.opencv.objdetect
Methods in org.opencv.objdetect that return MatOfFloat Modifier and Type Method Description MatOfFloat
HOGDescriptor. get_svmDetector()
static MatOfFloat
HOGDescriptor. getDaimlerPeopleDetector()
Returns coefficients of the classifier trained for people detection (for 48x96 windows).static MatOfFloat
HOGDescriptor. getDefaultPeopleDetector()
Returns coefficients of the classifier trained for people detection (for 64x128 windows).Methods in org.opencv.objdetect with parameters of type MatOfFloat Modifier and Type Method Description void
HOGDescriptor. compute(Mat img, MatOfFloat descriptors)
Computes HOG descriptors of given image.void
HOGDescriptor. compute(Mat img, MatOfFloat descriptors, Size winStride)
Computes HOG descriptors of given image.void
HOGDescriptor. compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding)
Computes HOG descriptors of given image.void
HOGDescriptor. compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
Computes HOG descriptors of given image. -
Uses of MatOfFloat in org.opencv.photo
Methods in org.opencv.photo with parameters of type MatOfFloat Modifier and Type Method Description static void
Photo. fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h)
Perform image denoising using Non-local Means Denoising algorithm <http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational optimizations.static void
Photo. fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h, int templateWindowSize)
Perform image denoising using Non-local Means Denoising algorithm <http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational optimizations.static void
Photo. fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h, int templateWindowSize, int searchWindowSize)
Perform image denoising using Non-local Means Denoising algorithm <http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational optimizations.static void
Photo. fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h, int templateWindowSize, int searchWindowSize, int normType)
Perform image denoising using Non-local Means Denoising algorithm <http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/> with several computational optimizations.static void
Photo. fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h)
Modification of fastNlMeansDenoising function for images sequence where consecutive images have been captured in small period of time.static void
Photo. fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h, int templateWindowSize)
Modification of fastNlMeansDenoising function for images sequence where consecutive images have been captured in small period of time.static void
Photo. fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h, int templateWindowSize, int searchWindowSize)
Modification of fastNlMeansDenoising function for images sequence where consecutive images have been captured in small period of time.static void
Photo. fastNlMeansDenoisingMulti(List<Mat> srcImgs, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, MatOfFloat h, int templateWindowSize, int searchWindowSize, int normType)
Modification of fastNlMeansDenoising function for images sequence where consecutive images have been captured in small period of time. -
Uses of MatOfFloat in org.opencv.text
Methods in org.opencv.text with parameters of type MatOfFloat 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 imagevoid
TextDetectorCNN. detect(Mat inputImage, MatOfRect Bbox, MatOfFloat confidence)
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Uses of MatOfFloat in org.opencv.video
Methods in org.opencv.video with parameters of type MatOfFloat Modifier and Type Method Description static void
Video. calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.static void
Video. calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.static void
Video. calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.static void
Video. calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.static void
Video. calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.static void
Video. calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids. -
Uses of MatOfFloat in org.opencv.xfeatures2d
Methods in org.opencv.xfeatures2d with parameters of type MatOfFloat Modifier and Type Method Description void
PCTSignaturesSQFD. computeQuadraticFormDistances(Mat sourceSignature, List<Mat> imageSignatures, MatOfFloat distances)
Computes Signature Quadratic Form Distance between the reference signature and each of the other image signatures.void
PCTSignatures. setTranslations(MatOfFloat translations)
Translations of the individual axes of the feature space.void
PCTSignatures. setWeights(MatOfFloat weights)
Weights (multiplicative constants) that linearly stretch individual axes of the feature space.
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