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OpenCV
3.4.0
Open Source Computer Vision
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OpenCV
3.4.0
Open Source Computer Vision
|
Namespaces | |
| aruco | |
| bgsegm | |
| bioinspired | |
| bridge | |
| ccalib | |
| cnn_3dobj | |
| cuda | |
| cudacodec | |
| cudev | |
| datasets | |
| detail | |
| directx | |
| dnn | |
| dnn2 | |
| dpm | |
| Error | |
| face | |
| fisheye | |
| The methods in this namespace use a so-called fisheye camera model. | |
| flann | |
| freetype | |
| ft | |
| hal | |
| hdf | |
| hpp | |
| img_hash | |
| instr | |
| line_descriptor | |
| linemod | |
| ml | |
| motempl | |
| multicalib | |
| ocl | |
| ogl | |
| omnidir | |
| optflow | |
| ovis | |
| phase_unwrapping | |
| plot | |
| ppf_match_3d | |
| randpattern | |
| reg | |
| rgbd | |
| saliency | |
| sfm | |
| stereo | |
| structured_light | |
| superres | |
| text | |
| tld | |
| tracking | |
| traits | |
| utils | |
| va_intel | |
| videostab | |
| viz | |
| xfeatures2d | |
| ximgproc | |
| xobjdetect | |
| xphoto | |
Classes | |
| class | _InputArray |
| This is the proxy class for passing read-only input arrays into OpenCV functions. More... | |
| class | _InputOutputArray |
| class | _OutputArray |
| This type is very similar to InputArray except that it is used for input/output and output function parameters. More... | |
| struct | Accumulator |
| struct | Accumulator< char > |
| struct | Accumulator< short > |
| struct | Accumulator< unsigned char > |
| struct | Accumulator< unsigned short > |
| class | Affine3 |
| Affine transform. More... | |
| class | AffineTransformer |
| Wrapper class for the OpenCV Affine Transformation algorithm. : More... | |
| class | AffineWarper |
| Affine warper factory class. More... | |
| class | AgastFeatureDetector |
| Wrapping class for feature detection using the AGAST method. : More... | |
| class | AKAZE |
| Class implementing the AKAZE keypoint detector and descriptor extractor, described in [5]. More... | |
| class | Algorithm |
| This is a base class for all more or less complex algorithms in OpenCV. More... | |
| class | AlignExposures |
| The base class for algorithms that align images of the same scene with different exposures. More... | |
| class | AlignMTB |
| This algorithm converts images to median threshold bitmaps (1 for pixels brighter than median luminance and 0 otherwise) and than aligns the resulting bitmaps using bit operations. More... | |
| class | Allocator |
| class | AutoBuffer |
| Automatically Allocated Buffer Class. More... | |
| class | AutoLock |
| class | BackgroundSubtractor |
| Base class for background/foreground segmentation. : More... | |
| class | BackgroundSubtractorKNN |
| K-nearest neigbours - based Background/Foreground Segmentation Algorithm. More... | |
| class | BackgroundSubtractorMOG2 |
| Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More... | |
| class | BaseCascadeClassifier |
| class | BaseClassifier |
| class | BFMatcher |
| Brute-force descriptor matcher. More... | |
| class | BOWImgDescriptorExtractor |
| Class to compute an image descriptor using the bag of visual words. More... | |
| class | BOWKMeansTrainer |
| kmeans -based class to train visual vocabulary using the bag of visual words approach. : More... | |
| class | BOWTrainer |
| Abstract base class for training the bag of visual words vocabulary from a set of descriptors. More... | |
| class | BRISK |
| Class implementing the BRISK keypoint detector and descriptor extractor, described in [103] . More... | |
| class | BufferPoolController |
| class | CalibrateCRF |
| The base class for camera response calibration algorithms. More... | |
| class | CalibrateDebevec |
| Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. Objective function is constructed using pixel values on the same position in all images, extra term is added to make the result smoother. More... | |
| class | CalibrateRobertson |
| Inverse camera response function is extracted for each brightness value by minimizing an objective function as linear system. This algorithm uses all image pixels. More... | |
| class | CascadeClassifier |
| Cascade classifier class for object detection. More... | |
| class | ChiHistogramCostExtractor |
| An Chi based cost extraction. : More... | |
| struct | CirclesGridFinderParameters |
| struct | CirclesGridFinderParameters2 |
| class | CLAHE |
| class | ClassifierThreshold |
| class | ClfMilBoost |
| class | ClfOnlineStump |
| class | CommandLineParser |
| Designed for command line parsing. More... | |
| class | Complex |
| A complex number class. More... | |
| class | CompressedRectilinearPortraitWarper |
| class | CompressedRectilinearWarper |
| class | ConjGradSolver |
| This class is used to perform the non-linear non-constrained minimization of a function with known gradient,. More... | |
| class | CvFeatureEvaluator |
| class | CvFeatureParams |
| class | CvHaarEvaluator |
| class | CvHaarFeatureParams |
| class | CvHOGEvaluator |
| struct | CvHOGFeatureParams |
| class | CvLBPEvaluator |
| struct | CvLBPFeatureParams |
| class | CvParams |
| class | CylindricalWarper |
| Cylindrical warper factory class. More... | |
| class | DataDepth |
| A helper class for cv::DataType. More... | |
| class | DataType |
| Template "trait" class for OpenCV primitive data types. More... | |
| class | DataType< Affine3< _Tp > > |
| class | DataType< bool > |
| class | DataType< char > |
| class | DataType< char1 > |
| class | DataType< char2 > |
| class | DataType< char3 > |
| class | DataType< char4 > |
| class | DataType< Complex< _Tp > > |
| class | DataType< double > |
| class | DataType< double1 > |
| class | DataType< double2 > |
| class | DataType< double3 > |
| class | DataType< double4 > |
| class | DataType< float > |
| class | DataType< float1 > |
| class | DataType< float2 > |
| class | DataType< float3 > |
| class | DataType< float4 > |
| class | DataType< int > |
| class | DataType< int1 > |
| class | DataType< int2 > |
| class | DataType< int3 > |
| class | DataType< int4 > |
| class | DataType< Matx< _Tp, m, n > > |
| class | DataType< Moments > |
| class | DataType< Point3_< _Tp > > |
| class | DataType< Point_< _Tp > > |
| class | DataType< Range > |
| class | DataType< Rect_< _Tp > > |
| class | DataType< RotatedRect > |
| class | DataType< Scalar_< _Tp > > |
| class | DataType< schar > |
| class | DataType< short > |
| class | DataType< short1 > |
| class | DataType< short2 > |
| class | DataType< short3 > |
| class | DataType< short4 > |
| class | DataType< Size_< _Tp > > |
| class | DataType< uchar > |
| class | DataType< uchar1 > |
| class | DataType< uchar2 > |
| class | DataType< uchar3 > |
| class | DataType< uchar4 > |
| class | DataType< uint > |
| class | DataType< uint1 > |
| class | DataType< uint2 > |
| class | DataType< uint3 > |
| class | DataType< uint4 > |
| class | DataType< ushort > |
| class | DataType< ushort1 > |
| class | DataType< ushort2 > |
| class | DataType< ushort3 > |
| class | DataType< ushort4 > |
| class | DataType< Vec< _Tp, cn > > |
| class | DenseOpticalFlow |
| class | DescriptorMatcher |
| Abstract base class for matching keypoint descriptors. More... | |
| struct | DetectionROI |
| struct for detection region of interest (ROI) More... | |
| class | Detector |
| class | DMatch |
| Class for matching keypoint descriptors. More... | |
| class | DownhillSolver |
| This class is used to perform the non-linear non-constrained minimization of a function,. More... | |
| struct | DrawMatchesFlags |
| class | DualTVL1OpticalFlow |
| "Dual TV L1" Optical Flow Algorithm. More... | |
| class | EMDHistogramCostExtractor |
| An EMD based cost extraction. : More... | |
| class | EMDL1HistogramCostExtractor |
| An EMD-L1 based cost extraction. : More... | |
| class | EstimatedGaussDistribution |
| class | Exception |
| Class passed to an error. More... | |
| class | FarnebackOpticalFlow |
| Class computing a dense optical flow using the Gunnar Farneback's algorithm. More... | |
| class | FastFeatureDetector |
| Wrapping class for feature detection using the FAST method. : More... | |
| class | Feature2D |
| Abstract base class for 2D image feature detectors and descriptor extractors. More... | |
| class | FileNode |
| File Storage Node class. More... | |
| class | FileNodeIterator |
| used to iterate through sequences and mappings. More... | |
| class | FileStorage |
| XML/YAML/JSON file storage class that encapsulates all the information necessary for writing or reading data to/from a file. More... | |
| class | FisheyeWarper |
| class | FlannBasedMatcher |
| Flann-based descriptor matcher. More... | |
| class | Formatted |
| class | Formatter |
| class | GeneralizedHough |
| finds arbitrary template in the grayscale image using Generalized Hough Transform More... | |
| class | GeneralizedHoughBallard |
| class | GeneralizedHoughGuil |
| class | GFTTDetector |
| Wrapping class for feature detection using the goodFeaturesToTrack function. : More... | |
| struct | Hamming |
| class | HausdorffDistanceExtractor |
| A simple Hausdorff distance measure between shapes defined by contours. More... | |
| class | HistogramCostExtractor |
| Abstract base class for histogram cost algorithms. More... | |
| struct | HOGDescriptor |
| Implementation of HOG (Histogram of Oriented Gradients) descriptor and object detector. More... | |
| class | KalmanFilter |
| Kalman filter class. More... | |
| class | KAZE |
| Class implementing the KAZE keypoint detector and descriptor extractor, described in [6] . More... | |
| class | KeyPoint |
| Data structure for salient point detectors. More... | |
| class | KeyPointsFilter |
| A class filters a vector of keypoints. More... | |
| struct | L1 |
| struct | L2 |
| class | LDA |
| Linear Discriminant Analysis. More... | |
| class | LineIterator |
| Line iterator. More... | |
| class | LineSegmentDetector |
| Line segment detector class. More... | |
| class | Mat |
| n-dimensional dense array class More... | |
| class | Mat_ |
| Template matrix class derived from Mat. More... | |
| class | MatAllocator |
| Custom array allocator. More... | |
| class | MatCommaInitializer_ |
| Comma-separated Matrix Initializer. More... | |
| class | MatConstIterator |
| class | MatConstIterator_ |
| Matrix read-only iterator. More... | |
| class | MatExpr |
| Matrix expression representation. More... | |
| class | MatIterator_ |
| Matrix read-write iterator. More... | |
| class | MatOp |
| struct | MatSize |
| struct | MatStep |
| class | Matx |
| Template class for small matrices whose type and size are known at compilation time. More... | |
| class | MatxCommaInitializer |
| Comma-separated Matrix Initializer. More... | |
| class | MercatorWarper |
| class | MergeDebevec |
| The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. More... | |
| class | MergeExposures |
| The base class algorithms that can merge exposure sequence to a single image. More... | |
| class | MergeMertens |
| Pixels are weighted using contrast, saturation and well-exposedness measures, than images are combined using laplacian pyramids. More... | |
| class | MergeRobertson |
| The resulting HDR image is calculated as weighted average of the exposures considering exposure values and camera response. More... | |
| class | MinProblemSolver |
| Basic interface for all solvers. More... | |
| class | Moments |
| struct returned by cv::moments More... | |
| class | MSER |
| Maximally stable extremal region extractor. More... | |
| class | MultiTracker |
| This class is used to track multiple objects using the specified tracker algorithm. The MultiTracker is naive implementation of multiple object tracking. It process the tracked objects independently without any optimization accross the tracked objects. More... | |
| class | MultiTracker_Alt |
| Base abstract class for the long-term Multi Object Trackers: More... | |
| class | MultiTrackerTLD |
| Multi Object Tracker for TLD. TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection. More... | |
| class | Mutex |
| class | NAryMatIterator |
| n-ary multi-dimensional array iterator. More... | |
| class | Node |
| class | NormHistogramCostExtractor |
| A norm based cost extraction. : More... | |
| class | ORB |
| Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. More... | |
| class | PaniniPortraitWarper |
| class | PaniniWarper |
| class | ParallelLoopBody |
| Base class for parallel data processors. More... | |
| struct | Param |
| struct | ParamType |
| struct | ParamType< Algorithm > |
| struct | ParamType< bool > |
| struct | ParamType< double > |
| struct | ParamType< float > |
| struct | ParamType< int > |
| struct | ParamType< Mat > |
| struct | ParamType< std::vector< Mat > > |
| struct | ParamType< String > |
| struct | ParamType< uchar > |
| struct | ParamType< uint64 > |
| struct | ParamType< unsigned > |
| class | PCA |
| Principal Component Analysis. More... | |
| class | PlaneWarper |
| Plane warper factory class. More... | |
| class | Point3_ |
Template class for 3D points specified by its coordinates x, y and z. More... | |
| class | Point_ |
Template class for 2D points specified by its coordinates x and y. More... | |
| struct | Ptr |
| Template class for smart pointers with shared ownership. More... | |
| struct | QtFont |
| QtFont available only for Qt. See cv::fontQt. More... | |
| class | Range |
| Template class specifying a continuous subsequence (slice) of a sequence. More... | |
| class | Rect_ |
| Template class for 2D rectangles. More... | |
| class | RNG |
| Random Number Generator. More... | |
| class | RNG_MT19937 |
| Mersenne Twister random number generator. More... | |
| class | RotatedRect |
| The class represents rotated (i.e. not up-right) rectangles on a plane. More... | |
| class | Scalar_ |
| Template class for a 4-element vector derived from Vec. More... | |
| class | Seq |
| class | SeqIterator |
| class | ShapeContextDistanceExtractor |
| Implementation of the Shape Context descriptor and matching algorithm. More... | |
| class | ShapeDistanceExtractor |
| Abstract base class for shape distance algorithms. More... | |
| class | ShapeTransformer |
| Abstract base class for shape transformation algorithms. More... | |
| class | SimilarRects |
| class | SimpleBlobDetector |
| Class for extracting blobs from an image. : More... | |
| class | Size_ |
| Template class for specifying the size of an image or rectangle. More... | |
| struct | SL2 |
| struct | softdouble |
| struct | softfloat |
| class | SparseMat |
| The class SparseMat represents multi-dimensional sparse numerical arrays. More... | |
| class | SparseMat_ |
| Template sparse n-dimensional array class derived from SparseMat. More... | |
| class | SparseMatConstIterator |
| Read-Only Sparse Matrix Iterator. More... | |
| class | SparseMatConstIterator_ |
| Template Read-Only Sparse Matrix Iterator Class. More... | |
| class | SparseMatIterator |
| Read-write Sparse Matrix Iterator. More... | |
| class | SparseMatIterator_ |
| Template Read-Write Sparse Matrix Iterator Class. More... | |
| class | SparseOpticalFlow |
| Base interface for sparse optical flow algorithms. More... | |
| class | SparsePyrLKOpticalFlow |
| Class used for calculating a sparse optical flow. More... | |
| class | SphericalWarper |
| Spherical warper factory class. More... | |
| class | StereoBM |
| Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More... | |
| class | StereographicWarper |
| class | StereoMatcher |
| The base class for stereo correspondence algorithms. More... | |
| class | StereoSGBM |
| The class implements the modified H. Hirschmuller algorithm [81] that differs from the original one as follows: More... | |
| class | Stitcher |
| High level image stitcher. More... | |
| class | String |
| class | StrongClassifierDirectSelection |
| class | Subdiv2D |
| class | SVD |
| Singular Value Decomposition. More... | |
| class | TermCriteria |
| The class defining termination criteria for iterative algorithms. More... | |
| class | ThinPlateSplineShapeTransformer |
| Definition of the transformation. More... | |
| class | TickMeter |
| a Class to measure passing time. More... | |
| class | TLSData |
| class | TLSDataContainer |
| class | Tonemap |
| Base class for tonemapping algorithms - tools that are used to map HDR image to 8-bit range. More... | |
| class | TonemapDrago |
| Adaptive logarithmic mapping is a fast global tonemapping algorithm that scales the image in logarithmic domain. More... | |
| class | TonemapDurand |
| This algorithm decomposes image into two layers: base layer and detail layer using bilateral filter and compresses contrast of the base layer thus preserving all the details. More... | |
| class | TonemapMantiuk |
| This algorithm transforms image to contrast using gradients on all levels of gaussian pyramid, transforms contrast values to HVS response and scales the response. After this the image is reconstructed from new contrast values. More... | |
| class | TonemapReinhard |
| This is a global tonemapping operator that models human visual system. More... | |
| class | Tracker |
| Base abstract class for the long-term tracker: More... | |
| class | TrackerBoosting |
| This is a real-time object tracking based on a novel on-line version of the AdaBoost algorithm. More... | |
| class | TrackerFeature |
| Abstract base class for TrackerFeature that represents the feature. More... | |
| class | TrackerFeatureFeature2d |
| TrackerFeature based on Feature2D. More... | |
| class | TrackerFeatureHAAR |
| TrackerFeature based on HAAR features, used by TrackerMIL and many others algorithms. More... | |
| class | TrackerFeatureHOG |
| TrackerFeature based on HOG. More... | |
| class | TrackerFeatureLBP |
| TrackerFeature based on LBP. More... | |
| class | TrackerFeatureSet |
| Class that manages the extraction and selection of features. More... | |
| class | TrackerGOTURN |
| GOTURN ([76]) is kind of trackers based on Convolutional Neural Networks (CNN). While taking all advantages of CNN trackers, GOTURN is much faster due to offline training without online fine-tuning nature. GOTURN tracker addresses the problem of single target tracking: given a bounding box label of an object in the first frame of the video, we track that object through the rest of the video. NOTE: Current method of GOTURN does not handle occlusions; however, it is fairly robust to viewpoint changes, lighting changes, and deformations. Inputs of GOTURN are two RGB patches representing Target and Search patches resized to 227x227. Outputs of GOTURN are predicted bounding box coordinates, relative to Search patch coordinate system, in format X1,Y1,X2,Y2. Original paper is here: http://davheld.github.io/GOTURN/GOTURN.pdf As long as original authors implementation: https://github.com/davheld/GOTURN#train-the-tracker Implementation of training algorithm is placed in separately here due to 3d-party dependencies: https://github.com/Auron-X/GOTURN_Training_Toolkit GOTURN architecture goturn.prototxt and trained model goturn.caffemodel are accessible on opencv_extra GitHub repository. More... | |
| class | TrackerKCF |
| KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing speed. This tracking method is an implementation of [77] which is extended to KFC with color-names features ([36]). The original paper of KCF is available at http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf as well as the matlab implementation. For more information about KCF with color-names features, please refer to http://www.cvl.isy.liu.se/research/objrec/visualtracking/colvistrack/index.html. More... | |
| class | TrackerMedianFlow |
| Median Flow tracker implementation. More... | |
| class | TrackerMIL |
| The MIL algorithm trains a classifier in an online manner to separate the object from the background. More... | |
| class | TrackerModel |
| Abstract class that represents the model of the target. It must be instantiated by specialized tracker. More... | |
| class | TrackerMOSSE |
| the MOSSE tracker note, that this tracker works with grayscale images, if passed bgr ones, they will get converted internally. [15] Visual Object Tracking using Adaptive Correlation Filters More... | |
| class | TrackerSampler |
| Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B. More... | |
| class | TrackerSamplerAlgorithm |
| Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler. More... | |
| class | TrackerSamplerCS |
| TrackerSampler based on CS (current state), used by algorithm TrackerBoosting. More... | |
| class | TrackerSamplerCSC |
| TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL. More... | |
| class | TrackerSamplerPF |
| This sampler is based on particle filtering. More... | |
| class | TrackerStateEstimator |
| Abstract base class for TrackerStateEstimator that estimates the most likely target state. More... | |
| class | TrackerStateEstimatorAdaBoosting |
| TrackerStateEstimatorAdaBoosting based on ADA-Boosting. More... | |
| class | TrackerStateEstimatorMILBoosting |
| TrackerStateEstimator based on Boosting. More... | |
| class | TrackerStateEstimatorSVM |
| TrackerStateEstimator based on SVM. More... | |
| class | TrackerTargetState |
| Abstract base class for TrackerTargetState that represents a possible state of the target. More... | |
| class | TrackerTLD |
| TLD is a novel tracking framework that explicitly decomposes the long-term tracking task into tracking, learning and detection. More... | |
| class | TransverseMercatorWarper |
| class | UMat |
| struct | UMatData |
| struct | UMatDataAutoLock |
| struct | v_reg |
| class | Vec |
| Template class for short numerical vectors, a partial case of Matx. More... | |
| class | VecCommaInitializer |
| Comma-separated Vec Initializer. More... | |
| class | VideoCapture |
| Class for video capturing from video files, image sequences or cameras. More... | |
| class | VideoWriter |
| Video writer class. More... | |
| class | WarperCreator |
| Image warper factories base class. More... | |
| class | WeakClassifierHaarFeature |
| class | WImage |
| Image class which provides a thin layer around an IplImage. More... | |
| class | WImageBuffer |
| class | WImageBufferC |
| class | WImageC |
| class | WImageView |
| class | WImageViewC |
Typedefs | |
| typedef Affine3< double > | Affine3d |
| typedef Affine3< float > | Affine3f |
| typedef void(* | ButtonCallback) (int state, void *userdata) |
| Callback function for a button created by cv::createButton. More... | |
| typedef Complex< double > | Complexd |
| typedef Complex< float > | Complexf |
| typedef std::vector< std::pair< Ptr< TrackerTargetState >, float > > | ConfidenceMap |
| Represents the model of the target at frame \(k\) (all states and scores) More... | |
| typedef Feature2D | DescriptorExtractor |
| typedef int(* | ErrorCallback) (int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata) |
| typedef Feature2D | FeatureDetector |
| typedef Hamming | HammingLUT |
| typedef InputArray | InputArrayOfArrays |
| typedef const _InputOutputArray & | InputOutputArray |
| typedef InputOutputArray | InputOutputArrayOfArrays |
| typedef Mat_< uchar > | Mat1b |
| typedef Mat_< double > | Mat1d |
| typedef Mat_< float > | Mat1f |
| typedef Mat_< int > | Mat1i |
| typedef Mat_< short > | Mat1s |
| typedef Mat_< ushort > | Mat1w |
| typedef Mat_< Vec2b > | Mat2b |
| typedef Mat_< Vec2d > | Mat2d |
| typedef Mat_< Vec2f > | Mat2f |
| typedef Mat_< Vec2i > | Mat2i |
| typedef Mat_< Vec2s > | Mat2s |
| typedef Mat_< Vec2w > | Mat2w |
| typedef Mat_< Vec3b > | Mat3b |
| typedef Mat_< Vec3d > | Mat3d |
| typedef Mat_< Vec3f > | Mat3f |
| typedef Mat_< Vec3i > | Mat3i |
| typedef Mat_< Vec3s > | Mat3s |
| typedef Mat_< Vec3w > | Mat3w |
| typedef Mat_< Vec4b > | Mat4b |
| typedef Mat_< Vec4d > | Mat4d |
| typedef Mat_< Vec4f > | Mat4f |
| typedef Mat_< Vec4i > | Mat4i |
| typedef Mat_< Vec4s > | Mat4s |
| typedef Mat_< Vec4w > | Mat4w |
| typedef Matx< double, 1, 2 > | Matx12d |
| typedef Matx< float, 1, 2 > | Matx12f |
| typedef Matx< double, 1, 3 > | Matx13d |
| typedef Matx< float, 1, 3 > | Matx13f |
| typedef Matx< double, 1, 4 > | Matx14d |
| typedef Matx< float, 1, 4 > | Matx14f |
| typedef Matx< double, 1, 6 > | Matx16d |
| typedef Matx< float, 1, 6 > | Matx16f |
| typedef Matx< double, 2, 1 > | Matx21d |
| typedef Matx< float, 2, 1 > | Matx21f |
| typedef Matx< double, 2, 2 > | Matx22d |
| typedef Matx< float, 2, 2 > | Matx22f |
| typedef Matx< double, 2, 3 > | Matx23d |
| typedef Matx< float, 2, 3 > | Matx23f |
| typedef Matx< double, 3, 1 > | Matx31d |
| typedef Matx< float, 3, 1 > | Matx31f |
| typedef Matx< double, 3, 2 > | Matx32d |
| typedef Matx< float, 3, 2 > | Matx32f |
| typedef Matx< double, 3, 3 > | Matx33d |
| typedef Matx< float, 3, 3 > | Matx33f |
| typedef Matx< double, 3, 4 > | Matx34d |
| typedef Matx< float, 3, 4 > | Matx34f |
| typedef Matx< double, 4, 1 > | Matx41d |
| typedef Matx< float, 4, 1 > | Matx41f |
| typedef Matx< double, 4, 3 > | Matx43d |
| typedef Matx< float, 4, 3 > | Matx43f |
| typedef Matx< double, 4, 4 > | Matx44d |
| typedef Matx< float, 4, 4 > | Matx44f |
| typedef Matx< double, 6, 1 > | Matx61d |
| typedef Matx< float, 6, 1 > | Matx61f |
| typedef Matx< double, 6, 6 > | Matx66d |
| typedef Matx< float, 6, 6 > | Matx66f |
| typedef Ptr< CvMemStorage > | MemStorage |
| typedef void(* | MouseCallback) (int event, int x, int y, int flags, void *userdata) |
| Callback function for mouse events. see cv::setMouseCallback. More... | |
| typedef void(* | OpenGlDrawCallback) (void *userdata) |
| Callback function defined to be called every frame. See cv::setOpenGlDrawCallback. More... | |
| typedef const _OutputArray & | OutputArray |
| typedef OutputArray | OutputArrayOfArrays |
| typedef Point2i | Point |
| typedef Point_< double > | Point2d |
| typedef Point_< float > | Point2f |
| typedef Point_< int > | Point2i |
| typedef Point_< int64 > | Point2l |
| typedef Point3_< double > | Point3d |
| typedef Point3_< float > | Point3f |
| typedef Point3_< int > | Point3i |
| typedef Rect2i | Rect |
| typedef Rect_< double > | Rect2d |
| typedef Rect_< float > | Rect2f |
| typedef Rect_< int > | Rect2i |
| typedef Scalar_< double > | Scalar |
| typedef Size2i | Size |
| typedef Size_< double > | Size2d |
| typedef Size_< float > | Size2f |
| typedef Size_< int > | Size2i |
| typedef Size_< int64 > | Size2l |
| typedef void(* | TrackbarCallback) (int pos, void *userdata) |
| Callback function for Trackbar see cv::createTrackbar. More... | |
| typedef std::vector< Ptr< TrackerTargetState > > | Trajectory |
| Represents the estimate states for all frames. More... | |
| typedef v_reg< float, 4 > | v_float32x4 |
| Four 32-bit floating point values (single precision) More... | |
| typedef v_reg< double, 2 > | v_float64x2 |
| Two 64-bit floating point values (double precision) More... | |
| typedef v_reg< short, 8 > | v_int16x8 |
| Eight 16-bit signed integer values. More... | |
| typedef v_reg< int, 4 > | v_int32x4 |
| Four 32-bit signed integer values. More... | |
| typedef v_reg< int64, 2 > | v_int64x2 |
| Two 64-bit signed integer values. More... | |
| typedef v_reg< schar, 16 > | v_int8x16 |
| Sixteen 8-bit signed integer values. More... | |
| typedef v_reg< ushort, 8 > | v_uint16x8 |
| Eight 16-bit unsigned integer values. More... | |
| typedef v_reg< unsigned, 4 > | v_uint32x4 |
| Four 32-bit unsigned integer values. More... | |
| typedef v_reg< uint64, 2 > | v_uint64x2 |
| Two 64-bit unsigned integer values. More... | |
| typedef v_reg< uchar, 16 > | v_uint8x16 |
| Sixteen 8-bit unsigned integer values. More... | |
| typedef WImageC< short, 1 > | WImage1_16s |
| typedef WImageC< ushort, 1 > | WImage1_16u |
| typedef WImageC< uchar, 1 > | WImage1_b |
| typedef WImageC< float, 1 > | WImage1_f |
| typedef WImageC< short, 3 > | WImage3_16s |
| typedef WImageC< ushort, 3 > | WImage3_16u |
| typedef WImageC< uchar, 3 > | WImage3_b |
| typedef WImageC< float, 3 > | WImage3_f |
| typedef WImage< short > | WImage_16s |
| typedef WImage< ushort > | WImage_16u |
| typedef WImage< uchar > | WImage_b |
| typedef WImage< float > | WImage_f |
| typedef WImageBufferC< short, 1 > | WImageBuffer1_16s |
| typedef WImageBufferC< ushort, 1 > | WImageBuffer1_16u |
| typedef WImageBufferC< uchar, 1 > | WImageBuffer1_b |
| typedef WImageBufferC< float, 1 > | WImageBuffer1_f |
| typedef WImageBufferC< short, 3 > | WImageBuffer3_16s |
| typedef WImageBufferC< ushort, 3 > | WImageBuffer3_16u |
| typedef WImageBufferC< uchar, 3 > | WImageBuffer3_b |
| typedef WImageBufferC< float, 3 > | WImageBuffer3_f |
| typedef WImageBuffer< short > | WImageBuffer_16s |
| typedef WImageBuffer< ushort > | WImageBuffer_16u |
| typedef WImageBuffer< uchar > | WImageBuffer_b |
| typedef WImageBuffer< float > | WImageBuffer_f |
| typedef WImageViewC< short, 1 > | WImageView1_16s |
| typedef WImageViewC< ushort, 1 > | WImageView1_16u |
| typedef WImageViewC< uchar, 1 > | WImageView1_b |
| typedef WImageViewC< float, 1 > | WImageView1_f |
| typedef WImageViewC< short, 3 > | WImageView3_16s |
| typedef WImageViewC< ushort, 3 > | WImageView3_16u |
| typedef WImageViewC< uchar, 3 > | WImageView3_b |
| typedef WImageViewC< float, 3 > | WImageView3_f |
| typedef WImageView< short > | WImageView_16s |
| typedef WImageView< ushort > | WImageView_16u |
| typedef WImageView< uchar > | WImageView_b |
| typedef WImageView< float > | WImageView_f |
Shorter aliases for the most popular specializations of Vec<T,n> | |
| typedef Vec< uchar, 2 > | Vec2b |
| typedef Vec< uchar, 3 > | Vec3b |
| typedef Vec< uchar, 4 > | Vec4b |
| typedef Vec< short, 2 > | Vec2s |
| typedef Vec< short, 3 > | Vec3s |
| typedef Vec< short, 4 > | Vec4s |
| typedef Vec< ushort, 2 > | Vec2w |
| typedef Vec< ushort, 3 > | Vec3w |
| typedef Vec< ushort, 4 > | Vec4w |
| typedef Vec< int, 2 > | Vec2i |
| typedef Vec< int, 3 > | Vec3i |
| typedef Vec< int, 4 > | Vec4i |
| typedef Vec< int, 6 > | Vec6i |
| typedef Vec< int, 8 > | Vec8i |
| typedef Vec< float, 2 > | Vec2f |
| typedef Vec< float, 3 > | Vec3f |
| typedef Vec< float, 4 > | Vec4f |
| typedef Vec< float, 6 > | Vec6f |
| typedef Vec< double, 2 > | Vec2d |
| typedef Vec< double, 3 > | Vec3d |
| typedef Vec< double, 4 > | Vec4d |
| typedef Vec< double, 6 > | Vec6d |
Functions | |
| template<class Feature > | |
| void | _writeFeatures (const std::vector< Feature > features, FileStorage &fs, const Mat &featureMap) |
| static uchar | abs (uchar a) |
| static ushort | abs (ushort a) |
| static unsigned | abs (unsigned a) |
| static uint64 | abs (uint64 a) |
| softfloat | abs (softfloat a) |
| Absolute value. More... | |
| softdouble | abs (softdouble a) |
| void | absdiff (InputArray src1, InputArray src2, OutputArray dst) |
| Calculates the per-element absolute difference between two arrays or between an array and a scalar. More... | |
| void | accumulate (InputArray src, InputOutputArray dst, InputArray mask=noArray()) |
| Adds an image to the accumulator image. More... | |
| void | accumulateProduct (InputArray src1, InputArray src2, InputOutputArray dst, InputArray mask=noArray()) |
| Adds the per-element product of two input images to the accumulator image. More... | |
| void | accumulateSquare (InputArray src, InputOutputArray dst, InputArray mask=noArray()) |
| Adds the square of a source image to the accumulator image. More... | |
| void | accumulateWeighted (InputArray src, InputOutputArray dst, double alpha, InputArray mask=noArray()) |
| Updates a running average. More... | |
| void | adaptiveThreshold (InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C) |
| Applies an adaptive threshold to an array. More... | |
| void | add (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1) |
| Calculates the per-element sum of two arrays or an array and a scalar. More... | |
| void | addText (const Mat &img, const String &text, Point org, const QtFont &font) |
| Draws a text on the image. More... | |
| void | addText (const Mat &img, const String &text, Point org, const String &nameFont, int pointSize=-1, Scalar color=Scalar::all(0), int weight=QT_FONT_NORMAL, int style=QT_STYLE_NORMAL, int spacing=0) |
| Draws a text on the image. More... | |
| void | addWeighted (InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1) |
| Calculates the weighted sum of two arrays. More... | |
| void | AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true) |
| void | AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, int type) |
| Detects corners using the AGAST algorithm. More... | |
| template<typename _Tp > | |
| static _Tp * | alignPtr (_Tp *ptr, int n=(int) sizeof(_Tp)) |
| Aligns a pointer to the specified number of bytes. More... | |
| static size_t | alignSize (size_t sz, int n) |
| Aligns a buffer size to the specified number of bytes. More... | |
| void | applyColorMap (InputArray src, OutputArray dst, int colormap) |
| Applies a GNU Octave/MATLAB equivalent colormap on a given image. More... | |
| void | applyColorMap (InputArray src, OutputArray dst, InputArray userColor) |
| Applies a user colormap on a given image. More... | |
| void | approxPolyDP (InputArray curve, OutputArray approxCurve, double epsilon, bool closed) |
| Approximates a polygonal curve(s) with the specified precision. More... | |
| double | arcLength (InputArray curve, bool closed) |
| Calculates a contour perimeter or a curve length. More... | |
| void | arrowedLine (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int line_type=8, int shift=0, double tipLength=0.1) |
| Draws a arrow segment pointing from the first point to the second one. More... | |
| void | batchDistance (InputArray src1, InputArray src2, OutputArray dist, int dtype, OutputArray nidx, int normType=NORM_L2, int K=0, InputArray mask=noArray(), int update=0, bool crosscheck=false) |
| naive nearest neighbor finder More... | |
| void | bilateralFilter (InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT) |
| Applies the bilateral filter to an image. More... | |
| void | bitwise_and (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray()) |
| computes bitwise conjunction of the two arrays (dst = src1 & src2) Calculates the per-element bit-wise conjunction of two arrays or an array and a scalar. More... | |
| void | bitwise_not (InputArray src, OutputArray dst, InputArray mask=noArray()) |
| Inverts every bit of an array. More... | |
| void | bitwise_or (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray()) |
| Calculates the per-element bit-wise disjunction of two arrays or an array and a scalar. More... | |
| void | bitwise_xor (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray()) |
| Calculates the per-element bit-wise "exclusive or" operation on two arrays or an array and a scalar. More... | |
| void | blendLinear (InputArray src1, InputArray src2, InputArray weights1, InputArray weights2, OutputArray dst) |
| void | blur (InputArray src, OutputArray dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT) |
| Blurs an image using the normalized box filter. More... | |
| int | borderInterpolate (int p, int len, int borderType) |
| Computes the source location of an extrapolated pixel. More... | |
| Rect | boundingRect (InputArray points) |
| Calculates the up-right bounding rectangle of a point set. More... | |
| void | boxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT) |
| Blurs an image using the box filter. More... | |
| void | boxPoints (RotatedRect box, OutputArray points) |
| Finds the four vertices of a rotated rect. Useful to draw the rotated rectangle. More... | |
| int | buildOpticalFlowPyramid (InputArray img, OutputArrayOfArrays pyramid, Size winSize, int maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true) |
| Constructs the image pyramid which can be passed to calcOpticalFlowPyrLK. More... | |
| void | buildPyramid (InputArray src, OutputArrayOfArrays dst, int maxlevel, int borderType=BORDER_DEFAULT) |
| Constructs the Gaussian pyramid for an image. More... | |
| void | calcBackProject (const Mat *images, int nimages, const int *channels, InputArray hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true) |
| Calculates the back projection of a histogram. More... | |
| void | calcBackProject (const Mat *images, int nimages, const int *channels, const SparseMat &hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true) |
| void | calcBackProject (InputArrayOfArrays images, const std::vector< int > &channels, InputArray hist, OutputArray dst, const std::vector< float > &ranges, double scale) |
| void | calcCovarMatrix (const Mat *samples, int nsamples, Mat &covar, Mat &mean, int flags, int ctype=CV_64F) |
| Calculates the covariance matrix of a set of vectors. More... | |
| void | calcCovarMatrix (InputArray samples, OutputArray covar, InputOutputArray mean, int flags, int ctype=CV_64F) |
| void | calcHist (const Mat *images, int nimages, const int *channels, InputArray mask, OutputArray hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false) |
| Calculates a histogram of a set of arrays. More... | |
| void | calcHist (const Mat *images, int nimages, const int *channels, InputArray mask, SparseMat &hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false) |
| void | calcHist (InputArrayOfArrays images, const std::vector< int > &channels, InputArray mask, OutputArray hist, const std::vector< int > &histSize, const std::vector< float > &ranges, bool accumulate=false) |
| float | calcNormFactor (const Mat &sum, const Mat &sqSum) |
| void | calcOpticalFlowFarneback (InputArray prev, InputArray next, InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags) |
| Computes a dense optical flow using the Gunnar Farneback's algorithm. More... | |
| void | calcOpticalFlowPyrLK (InputArray prevImg, InputArray nextImg, InputArray prevPts, InputOutputArray nextPts, OutputArray status, OutputArray err, Size winSize=Size(21, 21), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThreshold=1e-4) |
| Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids. More... | |
| double | calibrateCamera (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, InputOutputArray cameraMatrix, InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, OutputArray stdDeviationsIntrinsics, OutputArray stdDeviationsExtrinsics, OutputArray perViewErrors, int flags=0, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, DBL_EPSILON)) |
| Finds the camera intrinsic and extrinsic parameters from several views of a calibration pattern. More... | |
| double | calibrateCamera (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, InputOutputArray cameraMatrix, InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags=0, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, DBL_EPSILON)) |
| void | calibrationMatrixValues (InputArray cameraMatrix, Size imageSize, double apertureWidth, double apertureHeight, double &fovx, double &fovy, double &focalLength, Point2d &principalPoint, double &aspectRatio) |
| Computes useful camera characteristics from the camera matrix. More... | |
| RotatedRect | CamShift (InputArray probImage, Rect &window, TermCriteria criteria) |
| Finds an object center, size, and orientation. More... | |
| void | Canny (InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false) |
| Finds edges in an image using the Canny algorithm [28] . More... | |
| void | Canny (InputArray dx, InputArray dy, OutputArray edges, double threshold1, double threshold2, bool L2gradient=false) |
| void | cartToPolar (InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false) |
| Calculates the magnitude and angle of 2D vectors. More... | |
| softfloat | cbrt (const softfloat &a) |
| Cube root. More... | |
| bool | checkHardwareSupport (int feature) |
| Returns true if the specified feature is supported by the host hardware. More... | |
| bool | checkRange (InputArray a, bool quiet=true, Point *pos=0, double minVal=-DBL_MAX, double maxVal=DBL_MAX) |
| Checks every element of an input array for invalid values. More... | |
| bool | Cholesky (float *A, size_t astep, int m, float *b, size_t bstep, int n) |
| bool | Cholesky (double *A, size_t astep, int m, double *b, size_t bstep, int n) |
| void | circle (InputOutputArray img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| Draws a circle. More... | |
| void | clearSeq (CvSeq *seq) |
| bool | clipLine (Size imgSize, Point &pt1, Point &pt2) |
| Clips the line against the image rectangle. More... | |
| bool | clipLine (Size2l imgSize, Point2l &pt1, Point2l &pt2) |
| bool | clipLine (Rect imgRect, Point &pt1, Point &pt2) |
| void | colorChange (InputArray src, InputArray mask, OutputArray dst, float red_mul=1.0f, float green_mul=1.0f, float blue_mul=1.0f) |
| Given an original color image, two differently colored versions of this image can be mixed seamlessly. More... | |
| void | compare (InputArray src1, InputArray src2, OutputArray dst, int cmpop) |
| Performs the per-element comparison of two arrays or an array and scalar value. More... | |
| double | compareHist (InputArray H1, InputArray H2, int method) |
| Compares two histograms. More... | |
| double | compareHist (const SparseMat &H1, const SparseMat &H2, int method) |
| void | completeSymm (InputOutputArray mtx, bool lowerToUpper=false) |
| Copies the lower or the upper half of a square matrix to another half. More... | |
| void | composeRT (InputArray rvec1, InputArray tvec1, InputArray rvec2, InputArray tvec2, OutputArray rvec3, OutputArray tvec3, OutputArray dr3dr1=noArray(), OutputArray dr3dt1=noArray(), OutputArray dr3dr2=noArray(), OutputArray dr3dt2=noArray(), OutputArray dt3dr1=noArray(), OutputArray dt3dt1=noArray(), OutputArray dt3dr2=noArray(), OutputArray dt3dt2=noArray()) |
| Combines two rotation-and-shift transformations. More... | |
| void | computeCorrespondEpilines (InputArray points, int whichImage, InputArray F, OutputArray lines) |
| For points in an image of a stereo pair, computes the corresponding epilines in the other image. More... | |
| void | computeRecallPrecisionCurve (const std::vector< std::vector< DMatch > > &matches1to2, const std::vector< std::vector< uchar > > &correctMatches1to2Mask, std::vector< Point2f > &recallPrecisionCurve) |
| int | connectedComponents (InputArray image, OutputArray labels, int connectivity, int ltype, int ccltype) |
| computes the connected components labeled image of boolean image More... | |
| int | connectedComponents (InputArray image, OutputArray labels, int connectivity=8, int ltype=CV_32S) |
| int | connectedComponentsWithStats (InputArray image, OutputArray labels, OutputArray stats, OutputArray centroids, int connectivity, int ltype, int ccltype) |
| computes the connected components labeled image of boolean image and also produces a statistics output for each label More... | |
| int | connectedComponentsWithStats (InputArray image, OutputArray labels, OutputArray stats, OutputArray centroids, int connectivity=8, int ltype=CV_32S) |
| double | contourArea (InputArray contour, bool oriented=false) |
| Calculates a contour area. More... | |
| void | convertFp16 (InputArray src, OutputArray dst) |
| Converts an array to half precision floating number. More... | |
| void | convertMaps (InputArray map1, InputArray map2, OutputArray dstmap1, OutputArray dstmap2, int dstmap1type, bool nninterpolation=false) |
| Converts image transformation maps from one representation to another. More... | |
| void | convertPointsFromHomogeneous (InputArray src, OutputArray dst) |
| Converts points from homogeneous to Euclidean space. More... | |
| void | convertPointsHomogeneous (InputArray src, OutputArray dst) |
| Converts points to/from homogeneous coordinates. More... | |
| void | convertPointsToHomogeneous (InputArray src, OutputArray dst) |
| Converts points from Euclidean to homogeneous space. More... | |
| void | convertScaleAbs (InputArray src, OutputArray dst, double alpha=1, double beta=0) |
| Scales, calculates absolute values, and converts the result to 8-bit. More... | |
| void | convexHull (InputArray points, OutputArray hull, bool clockwise=false, bool returnPoints=true) |
| Finds the convex hull of a point set. More... | |
| void | convexityDefects (InputArray contour, InputArray convexhull, OutputArray convexityDefects) |
| Finds the convexity defects of a contour. More... | |
| void | copyMakeBorder (InputArray src, OutputArray dst, int top, int bottom, int left, int right, int borderType, const Scalar &value=Scalar()) |
| Forms a border around an image. More... | |
| void | cornerEigenValsAndVecs (InputArray src, OutputArray dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT) |
| Calculates eigenvalues and eigenvectors of image blocks for corner detection. More... | |
| void | cornerHarris (InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT) |
| Harris corner detector. More... | |
| void | cornerMinEigenVal (InputArray src, OutputArray dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT) |
| Calculates the minimal eigenvalue of gradient matrices for corner detection. More... | |
| void | cornerSubPix (InputArray image, InputOutputArray corners, Size winSize, Size zeroZone, TermCriteria criteria) |
| Refines the corner locations. More... | |
| void | correctMatches (InputArray F, InputArray points1, InputArray points2, OutputArray newPoints1, OutputArray newPoints2) |
| Refines coordinates of corresponding points. More... | |
| softdouble | cos (const softdouble &a) |
| Cosine. More... | |
| int | countNonZero (InputArray src) |
| Counts non-zero array elements. More... | |
| Ptr< AffineTransformer > | createAffineTransformer (bool fullAffine) |
| Ptr< AlignMTB > | createAlignMTB (int max_bits=6, int exclude_range=4, bool cut=true) |
| Creates AlignMTB object. More... | |
| Ptr< BackgroundSubtractorKNN > | createBackgroundSubtractorKNN (int history=500, double dist2Threshold=400.0, bool detectShadows=true) |
| Creates KNN Background Subtractor. More... | |
| Ptr< BackgroundSubtractorMOG2 > | createBackgroundSubtractorMOG2 (int history=500, double varThreshold=16, bool detectShadows=true) |
| Creates MOG2 Background Subtractor. More... | |
| int | createButton (const String &bar_name, ButtonCallback on_change, void *userdata=0, int type=QT_PUSH_BUTTON, bool initial_button_state=false) |
| Attaches a button to the control panel. More... | |
| Ptr< CalibrateDebevec > | createCalibrateDebevec (int samples=70, float lambda=10.0f, bool random=false) |
| Creates CalibrateDebevec object. More... | |
| Ptr< CalibrateRobertson > | createCalibrateRobertson (int max_iter=30, float threshold=0.01f) |
| Creates CalibrateRobertson object. More... | |
| Ptr< HistogramCostExtractor > | createChiHistogramCostExtractor (int nDummies=25, float defaultCost=0.2f) |
| Ptr< CLAHE > | createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8)) |
| Ptr< HistogramCostExtractor > | createEMDHistogramCostExtractor (int flag=DIST_L2, int nDummies=25, float defaultCost=0.2f) |
| Ptr< HistogramCostExtractor > | createEMDL1HistogramCostExtractor (int nDummies=25, float defaultCost=0.2f) |
| Ptr< BaseCascadeClassifier::MaskGenerator > | createFaceDetectionMaskGenerator () |
| Ptr< GeneralizedHoughBallard > | createGeneralizedHoughBallard () |
| Ptr< GeneralizedHoughGuil > | createGeneralizedHoughGuil () |
| void | createHanningWindow (OutputArray dst, Size winSize, int type) |
| This function computes a Hanning window coefficients in two dimensions. More... | |
| Ptr< HausdorffDistanceExtractor > | createHausdorffDistanceExtractor (int distanceFlag=cv::NORM_L2, float rankProp=0.6f) |
| Ptr< LineSegmentDetector > | createLineSegmentDetector (int _refine=LSD_REFINE_STD, double _scale=0.8, double _sigma_scale=0.6, double _quant=2.0, double _ang_th=22.5, double _log_eps=0, double _density_th=0.7, int _n_bins=1024) |
| Creates a smart pointer to a LineSegmentDetector object and initializes it. More... | |
| Ptr< MergeDebevec > | createMergeDebevec () |
| Creates MergeDebevec object. More... | |
| Ptr< MergeMertens > | createMergeMertens (float contrast_weight=1.0f, float saturation_weight=1.0f, float exposure_weight=0.0f) |
| Creates MergeMertens object. More... | |
| Ptr< MergeRobertson > | createMergeRobertson () |
| Creates MergeRobertson object. More... | |
| Ptr< HistogramCostExtractor > | createNormHistogramCostExtractor (int flag=DIST_L2, int nDummies=25, float defaultCost=0.2f) |
| Ptr< DualTVL1OpticalFlow > | createOptFlow_DualTVL1 () |
| Creates instance of cv::DenseOpticalFlow. More... | |
| Ptr< ShapeContextDistanceExtractor > | createShapeContextDistanceExtractor (int nAngularBins=12, int nRadialBins=4, float innerRadius=0.2f, float outerRadius=2, int iterations=3, const Ptr< HistogramCostExtractor > &comparer=createChiHistogramCostExtractor(), const Ptr< ShapeTransformer > &transformer=createThinPlateSplineShapeTransformer()) |
| Ptr< Stitcher > | createStitcher (bool try_use_gpu=false) |
| Ptr< ThinPlateSplineShapeTransformer > | createThinPlateSplineShapeTransformer (double regularizationParameter=0) |
| Ptr< Tonemap > | createTonemap (float gamma=1.0f) |
| Creates simple linear mapper with gamma correction. More... | |
| Ptr< TonemapDrago > | createTonemapDrago (float gamma=1.0f, float saturation=1.0f, float bias=0.85f) |
| Creates TonemapDrago object. More... | |
| Ptr< TonemapDurand > | createTonemapDurand (float gamma=1.0f, float contrast=4.0f, float saturation=1.0f, float sigma_space=2.0f, float sigma_color=2.0f) |
| Creates TonemapDurand object. More... | |
| Ptr< TonemapMantiuk > | createTonemapMantiuk (float gamma=1.0f, float scale=0.7f, float saturation=1.0f) |
| Creates TonemapMantiuk object. More... | |
| Ptr< TonemapReinhard > | createTonemapReinhard (float gamma=1.0f, float intensity=0.0f, float light_adapt=1.0f, float color_adapt=0.0f) |
| Creates TonemapReinhard object. More... | |
| int | createTrackbar (const String &trackbarname, const String &winname, int *value, int count, TrackbarCallback onChange=0, void *userdata=0) |
| Creates a trackbar and attaches it to the specified window. More... | |
| float | cubeRoot (float val) |
| Computes the cube root of an argument. More... | |
| template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols> | |
| static void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &dst) |
| template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols> | |
| static void | cv2eigen (const Matx< _Tp, _rows, _cols > &src, Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &dst) |
| template<typename _Tp > | |
| static void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst) |
| template<typename _Tp , int _rows, int _cols> | |
| static void | cv2eigen (const Matx< _Tp, _rows, _cols > &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst) |
| template<typename _Tp > | |
| static void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst) |
| template<typename _Tp , int _rows> | |
| static void | cv2eigen (const Matx< _Tp, _rows, 1 > &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst) |
| template<typename _Tp > | |
| static void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst) |
| template<typename _Tp , int _cols> | |
| static void | cv2eigen (const Matx< _Tp, 1, _cols > &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst) |
| template<typename _Tp > | |
| _Tp | cv_abs (_Tp x) |
| int | cv_abs (uchar x) |
| int | cv_abs (schar x) |
| int | cv_abs (ushort x) |
| int | cv_abs (short x) |
| Mat | cvarrToMat (const CvArr *arr, bool copyData=false, bool allowND=true, int coiMode=0, AutoBuffer< double > *buf=0) |
| converts array (CvMat or IplImage) to cv::Mat More... | |
| static Mat | cvarrToMatND (const CvArr *arr, bool copyData=false, int coiMode=0) |
| void | cvEndWriteRawData_Base64 (::CvFileStorage *fs) |
| void | cvtColor (InputArray src, OutputArray dst, int code, int dstCn=0) |
| Converts an image from one color space to another. More... | |
| void | cvWriteMat_Base64 (::CvFileStorage *fs, const char *name, const ::CvMat *mat) |
| void | cvWriteMatND_Base64 (::CvFileStorage *fs, const char *name, const ::CvMatND *mat) |
| void | cvWriteRawData_Base64 (::CvFileStorage *fs, const void *_data, int len) |
| void | dct (InputArray src, OutputArray dst, int flags=0) |
| Performs a forward or inverse discrete Cosine transform of 1D or 2D array. More... | |
| void | decolor (InputArray src, OutputArray grayscale, OutputArray color_boost) |
| Transforms a color image to a grayscale image. It is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications [115] . More... | |
| void | decomposeEssentialMat (InputArray E, OutputArray R1, OutputArray R2, OutputArray t) |
| Decompose an essential matrix to possible rotations and translation. More... | |
| int | decomposeHomographyMat (InputArray H, InputArray K, OutputArrayOfArrays rotations, OutputArrayOfArrays translations, OutputArrayOfArrays normals) |
| Decompose a homography matrix to rotation(s), translation(s) and plane normal(s). More... | |
| void | decomposeProjectionMatrix (InputArray projMatrix, OutputArray cameraMatrix, OutputArray rotMatrix, OutputArray transVect, OutputArray rotMatrixX=noArray(), OutputArray rotMatrixY=noArray(), OutputArray rotMatrixZ=noArray(), OutputArray eulerAngles=noArray()) |
| Decomposes a projection matrix into a rotation matrix and a camera matrix. More... | |
| void | demosaicing (InputArray _src, OutputArray _dst, int code, int dcn=0) |
| void | denoise_TVL1 (const std::vector< Mat > &observations, Mat &result, double lambda=1.0, int niters=30) |
| Primal-dual algorithm is an algorithm for solving special types of variational problems (that is, finding a function to minimize some functional). As the image denoising, in particular, may be seen as the variational problem, primal-dual algorithm then can be used to perform denoising and this is exactly what is implemented. More... | |
| void | destroyAllWindows () |
| Destroys all of the HighGUI windows. More... | |
| void | destroyWindow (const String &winname) |
| Destroys the specified window. More... | |
| void | detailEnhance (InputArray src, OutputArray dst, float sigma_s=10, float sigma_r=0.15f) |
| This filter enhances the details of a particular image. More... | |
| template<typename _Tp , int m> | |
| static double | determinant (const Matx< _Tp, m, m > &a) |
| double | determinant (InputArray mtx) |
| Returns the determinant of a square floating-point matrix. More... | |
| void | dft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0) |
| Performs a forward or inverse Discrete Fourier transform of a 1D or 2D floating-point array. More... | |
| void | dilate (InputArray src, OutputArray dst, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue()) |
| Dilates an image by using a specific structuring element. More... | |
| void | displayOverlay (const String &winname, const String &text, int delayms=0) |
| Displays a text on a window image as an overlay for a specified duration. More... | |
| void | displayStatusBar (const String &winname, const String &text, int delayms=0) |
| Displays a text on the window statusbar during the specified period of time. More... | |
| void | distanceTransform (InputArray src, OutputArray dst, OutputArray labels, int distanceType, int maskSize, int labelType=DIST_LABEL_CCOMP) |
| Calculates the distance to the closest zero pixel for each pixel of the source image. More... | |
| void | distanceTransform (InputArray src, OutputArray dst, int distanceType, int maskSize, int dstType=CV_32F) |
| void | divide (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1) |
| Performs per-element division of two arrays or a scalar by an array. More... | |
| void | divide (double scale, InputArray src2, OutputArray dst, int dtype=-1) |
| static int | divUp (int a, unsigned int b) |
| Integer division with result round up. More... | |
| static size_t | divUp (size_t a, unsigned int b) |
| void | drawChessboardCorners (InputOutputArray image, Size patternSize, InputArray corners, bool patternWasFound) |
| Renders the detected chessboard corners. More... | |
| void | drawContours (InputOutputArray image, InputArrayOfArrays contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=LINE_8, InputArray hierarchy=noArray(), int maxLevel=INT_MAX, Point offset=Point()) |
| Draws contours outlines or filled contours. More... | |
| void | drawKeypoints (InputArray image, const std::vector< KeyPoint > &keypoints, InputOutputArray outImage, const Scalar &color=Scalar::all(-1), int flags=DrawMatchesFlags::DEFAULT) |
| Draws keypoints. More... | |
| void | drawMarker (Mat &img, Point position, const Scalar &color, int markerType=MARKER_CROSS, int markerSize=20, int thickness=1, int line_type=8) |
| Draws a marker on a predefined position in an image. More... | |
| void | drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, InputOutputArray outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< char > &matchesMask=std::vector< char >(), int flags=DrawMatchesFlags::DEFAULT) |
| Draws the found matches of keypoints from two images. More... | |
| void | drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< std::vector< DMatch > > &matches1to2, InputOutputArray outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< std::vector< char > > &matchesMask=std::vector< std::vector< char > >(), int flags=DrawMatchesFlags::DEFAULT) |
| void | edgePreservingFilter (InputArray src, OutputArray dst, int flags=1, float sigma_s=60, float sigma_r=0.4f) |
| Filtering is the fundamental operation in image and video processing. Edge-preserving smoothing filters are used in many different applications [62] . More... | |
| bool | eigen (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors=noArray()) |
| Calculates eigenvalues and eigenvectors of a symmetric matrix. More... | |
| template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols> | |
| static void | eigen2cv (const Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &src, Mat &dst) |
| template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols> | |
| static void | eigen2cv (const Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &src, Matx< _Tp, _rows, _cols > &dst) |
| void | eigenNonSymmetric (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors) |
| Calculates eigenvalues and eigenvectors of a non-symmetric matrix (real eigenvalues only). More... | |
| void | ellipse (InputOutputArray img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| Draws a simple or thick elliptic arc or fills an ellipse sector. More... | |
| void | ellipse (InputOutputArray img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=LINE_8) |
| void | ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point > &pts) |
| Approximates an elliptic arc with a polyline. More... | |
| void | ellipse2Poly (Point2d center, Size2d axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point2d > &pts) |
| float | EMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), float *lowerBound=0, OutputArray flow=noArray()) |
| Computes the "minimal work" distance between two weighted point configurations. More... | |
| float | EMDL1 (InputArray signature1, InputArray signature2) |
| Computes the "minimal work" distance between two weighted point configurations base on the papers "EMD-L1: An efficient and Robust Algorithm for comparing histogram-based descriptors", by Haibin Ling and Kazunori Okuda; and "The Earth Mover's Distance is the Mallows Distance: Some Insights from
Statistics", by Elizaveta Levina and Peter Bickel. More... | |
| void | equalizeHist (InputArray src, OutputArray dst) |
| Equalizes the histogram of a grayscale image. More... | |
| void | erode (InputArray src, OutputArray dst, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue()) |
| Erodes an image by using a specific structuring element. More... | |
| void | error (const Exception &exc) |
| Signals an error and raises the exception. More... | |
| void | error (int _code, const String &_err, const char *_func, const char *_file, int _line) |
| Signals an error and raises the exception. More... | |
| void | errorNoReturn (int _code, const String &_err, const char *_func, const char *_file, int _line) |
| cv::Mat | estimateAffine2D (InputArray from, InputArray to, OutputArray inliers=noArray(), int method=RANSAC, double ransacReprojThreshold=3, size_t maxIters=2000, double confidence=0.99, size_t refineIters=10) |
| Computes an optimal affine transformation between two 2D point sets. More... | |
| int | estimateAffine3D (InputArray src, InputArray dst, OutputArray out, OutputArray inliers, double ransacThreshold=3, double confidence=0.99) |
| Computes an optimal affine transformation between two 3D point sets. More... | |
| cv::Mat | estimateAffinePartial2D (InputArray from, InputArray to, OutputArray inliers=noArray(), int method=RANSAC, double ransacReprojThreshold=3, size_t maxIters=2000, double confidence=0.99, size_t refineIters=10) |
| Computes an optimal limited affine transformation with 4 degrees of freedom between two 2D point sets. More... | |
| Mat | estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine) |
| Computes an optimal affine transformation between two 2D point sets. More... | |
| void | evaluateFeatureDetector (const Mat &img1, const Mat &img2, const Mat &H1to2, std::vector< KeyPoint > *keypoints1, std::vector< KeyPoint > *keypoints2, float &repeatability, int &correspCount, const Ptr< FeatureDetector > &fdetector=Ptr< FeatureDetector >()) |
| softfloat | exp (const softfloat &a) |
| Exponent. More... | |
| softdouble | exp (const softdouble &a) |
| void | exp (InputArray src, OutputArray dst) |
| Calculates the exponent of every array element. More... | |
| void | extractChannel (InputArray src, OutputArray dst, int coi) |
| Extracts a single channel from src (coi is 0-based index) More... | |
| void | extractImageCOI (const CvArr *arr, OutputArray coiimg, int coi=-1) |
| extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it. More... | |
| void | FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true) |
| void | FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, int type) |
| Detects corners using the FAST algorithm. More... | |
| float | fastAtan2 (float y, float x) |
| Calculates the angle of a 2D vector in degrees. More... | |
| void | fastFree (void *ptr) |
| Deallocates a memory buffer. More... | |
| void * | fastMalloc (size_t bufSize) |
| Allocates an aligned memory buffer. More... | |
| void | fastNlMeansDenoising (InputArray src, OutputArray dst, float h=3, int templateWindowSize=7, int searchWindowSize=21) |
| Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several computational optimizations. Noise expected to be a gaussian white noise. More... | |
| void | fastNlMeansDenoising (InputArray src, OutputArray dst, const std::vector< float > &h, int templateWindowSize=7, int searchWindowSize=21, int normType=NORM_L2) |
| Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising/ with several computational optimizations. Noise expected to be a gaussian white noise. More... | |
| void | fastNlMeansDenoisingColored (InputArray src, OutputArray dst, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21) |
| Modification of fastNlMeansDenoising function for colored images. More... | |
| void | fastNlMeansDenoisingColoredMulti (InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21) |
| Modification of fastNlMeansDenoisingMulti function for colored images sequences. More... | |
| void | fastNlMeansDenoisingMulti (InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, int templateWindowSize=7, int searchWindowSize=21) |
| Modification of fastNlMeansDenoising function for images sequence where consequtive images have been captured in small period of time. For example video. This version of the function is for grayscale images or for manual manipulation with colorspaces. For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394 More... | |
| void | fastNlMeansDenoisingMulti (InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, const std::vector< float > &h, int templateWindowSize=7, int searchWindowSize=21, int normType=NORM_L2) |
| Modification of fastNlMeansDenoising function for images sequence where consequtive images have been captured in small period of time. For example video. This version of the function is for grayscale images or for manual manipulation with colorspaces. For more details see http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6394 More... | |
| void | fillConvexPoly (Mat &img, const Point *pts, int npts, const Scalar &color, int lineType=LINE_8, int shift=0) |
| void | fillConvexPoly (InputOutputArray img, InputArray points, const Scalar &color, int lineType=LINE_8, int shift=0) |
| Fills a convex polygon. More... | |
| void | fillPoly (Mat &img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=LINE_8, int shift=0, Point offset=Point()) |
| void | fillPoly (InputOutputArray img, InputArrayOfArrays pts, const Scalar &color, int lineType=LINE_8, int shift=0, Point offset=Point()) |
| Fills the area bounded by one or more polygons. More... | |
| void | filter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT) |
| Convolves an image with the kernel. More... | |
| void | filterSpeckles (InputOutputArray img, double newVal, int maxSpeckleSize, double maxDiff, InputOutputArray buf=noArray()) |
| Filters off small noise blobs (speckles) in the disparity map. More... | |
| bool | find4QuadCornerSubpix (InputArray img, InputOutputArray corners, Size region_size) |
| finds subpixel-accurate positions of the chessboard corners More... | |
| bool | findChessboardCorners (InputArray image, Size patternSize, OutputArray corners, int flags=CALIB_CB_ADAPTIVE_THRESH+CALIB_CB_NORMALIZE_IMAGE) |
| Finds the positions of internal corners of the chessboard. More... | |
| bool | findCirclesGrid (InputArray image, Size patternSize, OutputArray centers, int flags, const Ptr< FeatureDetector > &blobDetector, CirclesGridFinderParameters parameters) |
| Finds centers in the grid of circles. More... | |
| bool | findCirclesGrid (InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr< FeatureDetector > &blobDetector=SimpleBlobDetector::create()) |
| bool | findCirclesGrid2 (InputArray image, Size patternSize, OutputArray centers, int flags, const Ptr< FeatureDetector > &blobDetector, CirclesGridFinderParameters2 parameters) |
| void | findContours (InputOutputArray image, OutputArrayOfArrays contours, OutputArray hierarchy, int mode, int method, Point offset=Point()) |
| Finds contours in a binary image. More... | |
| void | findContours (InputOutputArray image, OutputArrayOfArrays contours, int mode, int method, Point offset=Point()) |
| Mat | findEssentialMat (InputArray points1, InputArray points2, InputArray cameraMatrix, int method=RANSAC, double prob=0.999, double threshold=1.0, OutputArray mask=noArray()) |
| Calculates an essential matrix from the corresponding points in two images. More... | |
| Mat | findEssentialMat (InputArray points1, InputArray points2, double focal=1.0, Point2d pp=Point2d(0, 0), int method=RANSAC, double prob=0.999, double threshold=1.0, OutputArray mask=noArray()) |
| Mat | findFundamentalMat (InputArray points1, InputArray points2, int method=FM_RANSAC, double param1=3., double param2=0.99, OutputArray mask=noArray()) |
| Calculates a fundamental matrix from the corresponding points in two images. More... | |
| Mat | findFundamentalMat (InputArray points1, InputArray points2, OutputArray mask, int method=FM_RANSAC, double param1=3., double param2=0.99) |
| Mat | findHomography (InputArray srcPoints, InputArray dstPoints, int method=0, double ransacReprojThreshold=3, OutputArray mask=noArray(), const int maxIters=2000, const double confidence=0.995) |
| Finds a perspective transformation between two planes. More... | |
| Mat | findHomography (InputArray srcPoints, InputArray dstPoints, OutputArray mask, int method=0, double ransacReprojThreshold=3) |
| void | findNonZero (InputArray src, OutputArray idx) |
| Returns the list of locations of non-zero pixels. More... | |
| double | findTransformECC (InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType=MOTION_AFFINE, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001), InputArray inputMask=noArray()) |
| Finds the geometric transform (warp) between two images in terms of the ECC criterion [46] . More... | |
| RotatedRect | fitEllipse (InputArray points) |
| Fits an ellipse around a set of 2D points. More... | |
| RotatedRect | fitEllipseAMS (InputArray points) |
| Fits an ellipse around a set of 2D points. More... | |
| RotatedRect | fitEllipseDirect (InputArray points) |
| Fits an ellipse around a set of 2D points. More... | |
| void | fitLine (InputArray points, OutputArray line, int distType, double param, double reps, double aeps) |
| Fits a line to a 2D or 3D point set. More... | |
| void | flip (InputArray src, OutputArray dst, int flipCode) |
| Flips a 2D array around vertical, horizontal, or both axes. More... | |
| int | floodFill (InputOutputArray image, Point seedPoint, Scalar newVal, Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4) |
| int | floodFill (InputOutputArray image, InputOutputArray mask, Point seedPoint, Scalar newVal, Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4) |
| Fills a connected component with the given color. More... | |
| QtFont | fontQt (const String &nameFont, int pointSize=-1, Scalar color=Scalar::all(0), int weight=QT_FONT_NORMAL, int style=QT_STYLE_NORMAL, int spacing=0) |
| Creates the font to draw a text on an image. More... | |
| String | format (const char *fmt,...) |
| Returns a text string formatted using the printf-like expression. More... | |
| void | GaussianBlur (InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT) |
| Blurs an image using a Gaussian filter. More... | |
| void | gemm (InputArray src1, InputArray src2, double alpha, InputArray src3, double beta, OutputArray dst, int flags=0) |
| Performs generalized matrix multiplication. More... | |
| Mat | getAffineTransform (const Point2f src[], const Point2f dst[]) |
| Calculates an affine transform from three pairs of the corresponding points. More... | |
| Mat | getAffineTransform (InputArray src, InputArray dst) |
| const String & | getBuildInformation () |
| Returns full configuration time cmake output. More... | |
| int64 | getCPUTickCount () |
| Returns the number of CPU ticks. More... | |
| Mat | getDefaultNewCameraMatrix (InputArray cameraMatrix, Size imgsize=Size(), bool centerPrincipalPoint=false) |
| Returns the default new camera matrix. More... | |
| void | getDerivKernels (OutputArray kx, OutputArray ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F) |
| Returns filter coefficients for computing spatial image derivatives. More... | |
| static size_t | getElemSize (int type) |
| Mat | getGaborKernel (Size ksize, double sigma, double theta, double lambd, double gamma, double psi=CV_PI *0.5, int ktype=CV_64F) |
| Returns Gabor filter coefficients. More... | |
| Mat | getGaussianKernel (int ksize, double sigma, int ktype=CV_64F) |
| Returns Gaussian filter coefficients. More... | |
| int | getMouseWheelDelta (int flags) |
| Gets the mouse-wheel motion delta, when handling mouse-wheel events cv::EVENT_MOUSEWHEEL and cv::EVENT_MOUSEHWHEEL. More... | |
| int | getNearestPoint (const std::vector< Point2f > &recallPrecisionCurve, float l_precision) |
| int | getNumberOfCPUs () |
| Returns the number of logical CPUs available for the process. More... | |
| int | getNumThreads () |
| Returns the number of threads used by OpenCV for parallel regions. More... | |
| int | getOptimalDFTSize (int vecsize) |
| Returns the optimal DFT size for a given vector size. More... | |
| Mat | getOptimalNewCameraMatrix (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, double alpha, Size newImgSize=Size(), Rect *validPixROI=0, bool centerPrincipalPoint=false) |
| Returns the new camera matrix based on the free scaling parameter. More... | |
| Mat | getPerspectiveTransform (const Point2f src[], const Point2f dst[]) |
| returns 3x3 perspective transformation for the corresponding 4 point pairs. More... | |
| Mat | getPerspectiveTransform (InputArray src, InputArray dst) |
| Calculates a perspective transform from four pairs of the corresponding points. More... | |
| float | getRecall (const std::vector< Point2f > &recallPrecisionCurve, float l_precision) |
| void | getRectSubPix (InputArray image, Size patchSize, Point2f center, OutputArray patch, int patchType=-1) |
| Retrieves a pixel rectangle from an image with sub-pixel accuracy. More... | |
| Mat | getRotationMatrix2D (Point2f center, double angle, double scale) |
| Calculates an affine matrix of 2D rotation. More... | |
| schar * | getSeqElem (const CvSeq *seq, int index) |
| Mat | getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1)) |
| Returns a structuring element of the specified size and shape for morphological operations. More... | |
| Size | getTextSize (const String &text, int fontFace, double fontScale, int thickness, int *baseLine) |
| Calculates the width and height of a text string. More... | |
| int | getThreadNum () |
| Returns the index of the currently executed thread within the current parallel region. Always returns 0 if called outside of parallel region. More... | |
| int64 | getTickCount () |
| Returns the number of ticks. More... | |
| double | getTickFrequency () |
| Returns the number of ticks per second. More... | |
| int | getTrackbarPos (const String &trackbarname, const String &winname) |
| Returns the trackbar position. More... | |
| Rect | getValidDisparityROI (Rect roi1, Rect roi2, int minDisparity, int numberOfDisparities, int SADWindowSize) |
| computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify()) More... | |
| double | getWindowProperty (const String &winname, int prop_id) |
| Provides parameters of a window. More... | |
| void | glob (String pattern, std::vector< String > &result, bool recursive=false) |
| void | goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask=noArray(), int blockSize=3, bool useHarrisDetector=false, double k=0.04) |
| Determines strong corners on an image. More... | |
| void | goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, int blockSize, int gradientSize, bool useHarrisDetector=false, double k=0.04) |
| void | grabCut (InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL) |
| Runs the GrabCut algorithm. More... | |
| void | groupRectangles (std::vector< Rect > &rectList, int groupThreshold, double eps=0.2) |
| Groups the object candidate rectangles. More... | |
| void | groupRectangles (std::vector< Rect > &rectList, std::vector< int > &weights, int groupThreshold, double eps=0.2) |
| void | groupRectangles (std::vector< Rect > &rectList, int groupThreshold, double eps, std::vector< int > *weights, std::vector< double > *levelWeights) |
| void | groupRectangles (std::vector< Rect > &rectList, std::vector< int > &rejectLevels, std::vector< double > &levelWeights, int groupThreshold, double eps=0.2) |
| void | groupRectangles_meanshift (std::vector< Rect > &rectList, std::vector< double > &foundWeights, std::vector< double > &foundScales, double detectThreshold=0.0, Size winDetSize=Size(64, 128)) |
| bool | haveOpenVX () |
| Check if use of OpenVX is possible. More... | |
| void | hconcat (const Mat *src, size_t nsrc, OutputArray dst) |
| Applies horizontal concatenation to given matrices. More... | |
| void | hconcat (InputArray src1, InputArray src2, OutputArray dst) |
| void | hconcat (InputArrayOfArrays src, OutputArray dst) |
| void | HoughCircles (InputArray image, OutputArray circles, int method, double dp, double minDist, double param1=100, double param2=100, int minRadius=0, int maxRadius=0) |
| Finds circles in a grayscale image using the Hough transform. More... | |
| void | HoughLines (InputArray image, OutputArray lines, double rho, double theta, int threshold, double srn=0, double stn=0, double min_theta=0, double max_theta=CV_PI) |
| Finds lines in a binary image using the standard Hough transform. More... | |
| void | HoughLinesP (InputArray image, OutputArray lines, double rho, double theta, int threshold, double minLineLength=0, double maxLineGap=0) |
| Finds line segments in a binary image using the probabilistic Hough transform. More... | |
| void | HuMoments (const Moments &moments, double hu[7]) |
| Calculates seven Hu invariants. More... | |
| void | HuMoments (const Moments &m, OutputArray hu) |
| void | idct (InputArray src, OutputArray dst, int flags=0) |
| Calculates the inverse Discrete Cosine Transform of a 1D or 2D array. More... | |
| void | idft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0) |
| Calculates the inverse Discrete Fourier Transform of a 1D or 2D array. More... | |
| void | illuminationChange (InputArray src, InputArray mask, OutputArray dst, float alpha=0.2f, float beta=0.4f) |
| Applying an appropriate non-linear transformation to the gradient field inside the selection and then integrating back with a Poisson solver, modifies locally the apparent illumination of an image. More... | |
| Mat | imdecode (InputArray buf, int flags) |
| Reads an image from a buffer in memory. More... | |
| Mat | imdecode (InputArray buf, int flags, Mat *dst) |
| bool | imencode (const String &ext, InputArray img, std::vector< uchar > &buf, const std::vector< int > ¶ms=std::vector< int >()) |
| Encodes an image into a memory buffer. More... | |
| Mat | imread (const String &filename, int flags=IMREAD_COLOR) |
| Loads an image from a file. More... | |
| bool | imreadmulti (const String &filename, std::vector< Mat > &mats, int flags=IMREAD_ANYCOLOR) |
| Loads a multi-page image from a file. More... | |
| void | imshow (const String &winname, InputArray mat) |
| Displays an image in the specified window. More... | |
| void | imshow (const String &winname, const ogl::Texture2D &tex) |
| Displays OpenGL 2D texture in the specified window. More... | |
| bool | imwrite (const String &filename, InputArray img, const std::vector< int > ¶ms=std::vector< int >()) |
| Saves an image to a specified file. More... | |
| Mat | initCameraMatrix2D (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, double aspectRatio=1.0) |
| Finds an initial camera matrix from 3D-2D point correspondences. More... | |
| void | initUndistortRectifyMap (InputArray cameraMatrix, InputArray distCoeffs, InputArray R, InputArray newCameraMatrix, Size size, int m1type, OutputArray map1, OutputArray map2) |
| Computes the undistortion and rectification transformation map. More... | |
| float | initWideAngleProjMap (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, int destImageWidth, int m1type, OutputArray map1, OutputArray map2, int projType=PROJ_SPHERICAL_EQRECT, double alpha=0) |
| initializes maps for cv::remap() for wide-angle More... | |
| void | inpaint (InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags) |
| Restores the selected region in an image using the region neighborhood. More... | |
| void | inRange (InputArray src, InputArray lowerb, InputArray upperb, OutputArray dst) |
| Checks if array elements lie between the elements of two other arrays. More... | |
| void | insertChannel (InputArray src, InputOutputArray dst, int coi) |
| Inserts a single channel to dst (coi is 0-based index) More... | |
| void | insertImageCOI (InputArray coiimg, CvArr *arr, int coi=-1) |
| inserts single-channel cv::Mat into a multi-channel CvMat or IplImage More... | |
| void | integral (InputArray src, OutputArray sum, int sdepth=-1) |
| void | integral (InputArray src, OutputArray sum, OutputArray sqsum, int sdepth=-1, int sqdepth=-1) |
| void | integral (InputArray src, OutputArray sum, OutputArray sqsum, OutputArray tilted, int sdepth=-1, int sqdepth=-1) |
| Calculates the integral of an image. More... | |
| float | intersectConvexConvex (InputArray _p1, InputArray _p2, OutputArray _p12, bool handleNested=true) |
| finds intersection of two convex polygons More... | |
| double | invert (InputArray src, OutputArray dst, int flags=DECOMP_LU) |
| Finds the inverse or pseudo-inverse of a matrix. More... | |
| void | invertAffineTransform (InputArray M, OutputArray iM) |
| Inverts an affine transformation. More... | |
| bool | isContourConvex (InputArray contour) |
| Tests a contour convexity. More... | |
| double | kmeans (InputArray data, int K, InputOutputArray bestLabels, TermCriteria criteria, int attempts, int flags, OutputArray centers=noArray()) |
| Finds centers of clusters and groups input samples around the clusters. More... | |
| void | Laplacian (InputArray src, OutputArray dst, int ddepth, int ksize=1, double scale=1, double delta=0, int borderType=BORDER_DEFAULT) |
| Calculates the Laplacian of an image. More... | |
| void | line (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| Draws a line segment connecting two points. More... | |
| void | linearPolar (InputArray src, OutputArray dst, Point2f center, double maxRadius, int flags) |
| Remaps an image to polar coordinates space. More... | |
| void | loadWindowParameters (const String &windowName) |
| Loads parameters of the specified window. More... | |
| softfloat | log (const softfloat &a) |
| Natural logarithm. More... | |
| softdouble | log (const softdouble &a) |
| void | log (InputArray src, OutputArray dst) |
| Calculates the natural logarithm of every array element. More... | |
| void | logPolar (InputArray src, OutputArray dst, Point2f center, double M, int flags) |
| Remaps an image to semilog-polar coordinates space. More... | |
| int | LU (float *A, size_t astep, int m, float *b, size_t bstep, int n) |
| int | LU (double *A, size_t astep, int m, double *b, size_t bstep, int n) |
| void | LUT (InputArray src, InputArray lut, OutputArray dst) |
| Performs a look-up table transform of an array. More... | |
| void | magnitude (InputArray x, InputArray y, OutputArray magnitude) |
| Calculates the magnitude of 2D vectors. More... | |
| double | Mahalanobis (InputArray v1, InputArray v2, InputArray icovar) |
| Calculates the Mahalanobis distance between two vectors. More... | |
| template<typename T > | |
| Ptr< T > | makePtr () |
| template<typename T , typename A1 > | |
| Ptr< T > | makePtr (const A1 &a1) |
| template<typename T , typename A1 , typename A2 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2) |
| template<typename T , typename A1 , typename A2 , typename A3 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 , typename A9 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8, const A9 &a9) |
| template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 , typename A9 , typename A10 > | |
| Ptr< T > | makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8, const A9 &a9, const A10 &a10) |
| double | matchShapes (InputArray contour1, InputArray contour2, int method, double parameter) |
| Compares two shapes. More... | |
| void | matchTemplate (InputArray image, InputArray templ, OutputArray result, int method, InputArray mask=noArray()) |
| Compares a template against overlapped image regions. More... | |
| void | matMulDeriv (InputArray A, InputArray B, OutputArray dABdA, OutputArray dABdB) |
| Computes partial derivatives of the matrix product for each multiplied matrix. More... | |
| softfloat | max (const softfloat &a, const softfloat &b) |
| softdouble | max (const softdouble &a, const softdouble &b) |
| void | max (InputArray src1, InputArray src2, OutputArray dst) |
| Calculates per-element maximum of two arrays or an array and a scalar. More... | |
| void | max (const Mat &src1, const Mat &src2, Mat &dst) |
| void | max (const UMat &src1, const UMat &src2, UMat &dst) |
| Scalar | mean (InputArray src, InputArray mask=noArray()) |
| Calculates an average (mean) of array elements. More... | |
| int | meanShift (InputArray probImage, Rect &window, TermCriteria criteria) |
| Finds an object on a back projection image. More... | |
| void | meanStdDev (InputArray src, OutputArray mean, OutputArray stddev, InputArray mask=noArray()) |
| void | medianBlur (InputArray src, OutputArray dst, int ksize) |
| Blurs an image using the median filter. More... | |
| void | merge (const Mat *mv, size_t count, OutputArray dst) |
| Creates one multi-channel array out of several single-channel ones. More... | |
| void | merge (InputArrayOfArrays mv, OutputArray dst) |
| softfloat | min (const softfloat &a, const softfloat &b) |
| Min and Max functions. More... | |
| softdouble | min (const softdouble &a, const softdouble &b) |
| void | min (InputArray src1, InputArray src2, OutputArray dst) |
| Calculates per-element minimum of two arrays or an array and a scalar. More... | |
| void | min (const Mat &src1, const Mat &src2, Mat &dst) |
| void | min (const UMat &src1, const UMat &src2, UMat &dst) |
| RotatedRect | minAreaRect (InputArray points) |
| Finds a rotated rectangle of the minimum area enclosing the input 2D point set. More... | |
| void | minEnclosingCircle (InputArray points, Point2f ¢er, float &radius) |
| Finds a circle of the minimum area enclosing a 2D point set. More... | |
| double | minEnclosingTriangle (InputArray points, OutputArray triangle) |
| Finds a triangle of minimum area enclosing a 2D point set and returns its area. More... | |
| void | minMaxIdx (InputArray src, double *minVal, double *maxVal=0, int *minIdx=0, int *maxIdx=0, InputArray mask=noArray()) |
| Finds the global minimum and maximum in an array. More... | |
| void | minMaxLoc (InputArray src, double *minVal, double *maxVal=0, Point *minLoc=0, Point *maxLoc=0, InputArray mask=noArray()) |
| Finds the global minimum and maximum in an array. More... | |
| void | minMaxLoc (const SparseMat &a, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0) |
| void | mixChannels (const Mat *src, size_t nsrcs, Mat *dst, size_t ndsts, const int *fromTo, size_t npairs) |
| Copies specified channels from input arrays to the specified channels of output arrays. More... | |
| void | mixChannels (InputArrayOfArrays src, InputOutputArrayOfArrays dst, const int *fromTo, size_t npairs) |
| void | mixChannels (InputArrayOfArrays src, InputOutputArrayOfArrays dst, const std::vector< int > &fromTo) |
| Moments | moments (InputArray array, bool binaryImage=false) |
| Calculates all of the moments up to the third order of a polygon or rasterized shape. More... | |
| static Scalar | morphologyDefaultBorderValue () |
| returns "magic" border value for erosion and dilation. It is automatically transformed to Scalar::all(-DBL_MAX) for dilation. More... | |
| void | morphologyEx (InputArray src, OutputArray dst, int op, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue()) |
| Performs advanced morphological transformations. More... | |
| void | moveWindow (const String &winname, int x, int y) |
| Moves window to the specified position. More... | |
| softfloat | mulAdd (const softfloat &a, const softfloat &b, const softfloat &c) |
| Fused Multiplication and Addition. More... | |
| softdouble | mulAdd (const softdouble &a, const softdouble &b, const softdouble &c) |
| void | mulSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false) |
| Performs the per-element multiplication of two Fourier spectrums. More... | |
| void | multiply (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1) |
| Calculates the per-element scaled product of two arrays. More... | |
| void | mulTransposed (InputArray src, OutputArray dst, bool aTa, InputArray delta=noArray(), double scale=1, int dtype=-1) |
| Calculates the product of a matrix and its transposition. More... | |
| void | namedWindow (const String &winname, int flags=WINDOW_AUTOSIZE) |
| Creates a window. More... | |
| InputOutputArray | noArray () |
| template<typename _Tp , int m, int n> | |
| static double | norm (const Matx< _Tp, m, n > &M) |
| template<typename _Tp , int m, int n> | |
| static double | norm (const Matx< _Tp, m, n > &M, int normType) |
| double | norm (InputArray src1, int normType=NORM_L2, InputArray mask=noArray()) |
| Calculates the absolute norm of an array. More... | |
| double | norm (InputArray src1, InputArray src2, int normType=NORM_L2, InputArray mask=noArray()) |
| Calculates an absolute difference norm or a relative difference norm. More... | |
| double | norm (const SparseMat &src, int normType) |
| template<typename _Tp , int cn> | |
| static Vec< _Tp, cn > | normalize (const Vec< _Tp, cn > &v) |
| void | normalize (InputArray src, InputOutputArray dst, double alpha=1, double beta=0, int norm_type=NORM_L2, int dtype=-1, InputArray mask=noArray()) |
| Normalizes the norm or value range of an array. More... | |
| void | normalize (const SparseMat &src, SparseMat &dst, double alpha, int normType) |
| template<typename _Tp , typename _AccTp > | |
| static _AccTp | normInf (const _Tp *a, int n) |
| template<typename _Tp , typename _AccTp > | |
| static _AccTp | normInf (const _Tp *a, const _Tp *b, int n) |
| template<typename _Tp , typename _AccTp > | |
| static _AccTp | normL1 (const _Tp *a, int n) |
| template<typename _Tp , typename _AccTp > | |
| static _AccTp | normL1 (const _Tp *a, const _Tp *b, int n) |
| float | normL1 (const float *a, const float *b, int n) |
| int | normL1 (const uchar *a, const uchar *b, int n) |
| template<typename _Tp , typename _AccTp > | |
| static _AccTp | normL2Sqr (const _Tp *a, int n) |
| template<typename _Tp , typename _AccTp > | |
| static _AccTp | normL2Sqr (const _Tp *a, const _Tp *b, int n) |
| static float | normL2Sqr (const float *a, const float *b, int n) |
| template<typename T > | |
| bool | operator!= (const Ptr< T > &ptr1, const Ptr< T > &ptr2) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator!= (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Not equal comparison. More... | |
| template<typename _Tp > | |
| bool | operator!= (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator& (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Bitwise AND. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator&= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename T > | |
| static Affine3< T > | operator* (const Affine3< T > &affine1, const Affine3< T > &affine2) |
| template<typename T , typename V > | |
| static V | operator* (const Affine3< T > &affine, const V &vector) |
| static Vec3f | operator* (const Affine3f &affine, const Vec3f &vector) |
| static Vec3d | operator* (const Affine3d &affine, const Vec3d &vector) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator* (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Multiply values. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator*= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator+ (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Add values. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator+= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator- (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Subtract values. More... | |
| template<typename _Tp > | |
| ptrdiff_t | operator- (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator-= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator/ (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Divide values. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator/= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator< (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Less-than comparison. More... | |
| static std::ostream & | operator<< (std::ostream &out, const TickMeter &tm) |
| output operator More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator<< (const v_reg< _Tp, n > &a, int imm) |
| Bitwise shift left. More... | |
| static String & | operator<< (String &out, Ptr< Formatted > fmtd) |
| static String & | operator<< (String &out, const Mat &mtx) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator<= (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Less-than or equal comparison. More... | |
| template<typename T > | |
| bool | operator== (const Ptr< T > &ptr1, const Ptr< T > &ptr2) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator== (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Equal comparison. More... | |
| template<typename _Tp > | |
| bool | operator== (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator> (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Greater-than comparison. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator>= (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Greater-than or equal comparison. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator>> (const v_reg< _Tp, n > &a, int imm) |
| Bitwise shift right. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator^ (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Bitwise XOR. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator^= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator| (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Bitwise OR. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > & | operator|= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | operator~ (const v_reg< _Tp, n > &a) |
| Bitwise NOT. More... | |
| void | parallel_for_ (const Range &range, const ParallelLoopBody &body, double nstripes=-1.) |
| Parallel data processor. More... | |
| void | patchNaNs (InputOutputArray a, double val=0) |
| converts NaN's to the given number More... | |
| void | PCABackProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result) |
| void | PCACompute (InputArray data, InputOutputArray mean, OutputArray eigenvectors, int maxComponents=0) |
| void | PCACompute (InputArray data, InputOutputArray mean, OutputArray eigenvectors, double retainedVariance) |
| void | PCAProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result) |
| void | pencilSketch (InputArray src, OutputArray dst1, OutputArray dst2, float sigma_s=60, float sigma_r=0.07f, float shade_factor=0.02f) |
| Pencil-like non-photorealistic line drawing. More... | |
| void | perspectiveTransform (InputArray src, OutputArray dst, InputArray m) |
| Performs the perspective matrix transformation of vectors. More... | |
| void | phase (InputArray x, InputArray y, OutputArray angle, bool angleInDegrees=false) |
| Calculates the rotation angle of 2D vectors. More... | |
| Point2d | phaseCorrelate (InputArray src1, InputArray src2, InputArray window=noArray(), double *response=0) |
| The function is used to detect translational shifts that occur between two images. More... | |
| double | pointPolygonTest (InputArray contour, Point2f pt, bool measureDist) |
| Performs a point-in-contour test. More... | |
| void | polarToCart (InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees=false) |
| Calculates x and y coordinates of 2D vectors from their magnitude and angle. More... | |
| void | polylines (Mat &img, const Point *const *pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| void | polylines (InputOutputArray img, InputArrayOfArrays pts, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| Draws several polygonal curves. More... | |
| softfloat | pow (const softfloat &a, const softfloat &b) |
| Raising to the power. More... | |
| softdouble | pow (const softdouble &a, const softdouble &b) |
| void | pow (InputArray src, double power, OutputArray dst) |
| Raises every array element to a power. More... | |
| void | preCornerDetect (InputArray src, OutputArray dst, int ksize, int borderType=BORDER_DEFAULT) |
| Calculates a feature map for corner detection. More... | |
| void | projectPoints (InputArray objectPoints, InputArray rvec, InputArray tvec, InputArray cameraMatrix, InputArray distCoeffs, OutputArray imagePoints, OutputArray jacobian=noArray(), double aspectRatio=0) |
| Projects 3D points to an image plane. More... | |
| double | PSNR (InputArray src1, InputArray src2) |
| Computes the Peak Signal-to-Noise Ratio (PSNR) image quality metric. More... | |
| void | putText (InputOutputArray img, const String &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=LINE_8, bool bottomLeftOrigin=false) |
| Draws a text string. More... | |
| void | pyrDown (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT) |
| Blurs an image and downsamples it. More... | |
| void | pyrMeanShiftFiltering (InputArray src, OutputArray dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1)) |
| Performs initial step of meanshift segmentation of an image. More... | |
| void | pyrUp (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT) |
| Upsamples an image and then blurs it. More... | |
| void | randn (InputOutputArray dst, InputArray mean, InputArray stddev) |
| Fills the array with normally distributed random numbers. More... | |
| void | randShuffle (InputOutputArray dst, double iterFactor=1., RNG *rng=0) |
| Shuffles the array elements randomly. More... | |
| void | randu (InputOutputArray dst, InputArray low, InputArray high) |
| Generates a single uniformly-distributed random number or an array of random numbers. More... | |
| void | read (const FileNode &fn, optflow::GPCTree::Node &node, optflow::GPCTree::Node) |
| int | recoverPose (InputArray E, InputArray points1, InputArray points2, InputArray cameraMatrix, OutputArray R, OutputArray t, InputOutputArray mask=noArray()) |
| Recover relative camera rotation and translation from an estimated essential matrix and the corresponding points in two images, using cheirality check. Returns the number of inliers which pass the check. More... | |
| int | recoverPose (InputArray E, InputArray points1, InputArray points2, OutputArray R, OutputArray t, double focal=1.0, Point2d pp=Point2d(0, 0), InputOutputArray mask=noArray()) |
| int | recoverPose (InputArray E, InputArray points1, InputArray points2, InputArray cameraMatrix, OutputArray R, OutputArray t, double distanceThresh, InputOutputArray mask=noArray(), OutputArray triangulatedPoints=noArray()) |
| void | rectangle (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| Draws a simple, thick, or filled up-right rectangle. More... | |
| void | rectangle (Mat &img, Rect rec, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0) |
| float | rectify3Collinear (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, InputArray cameraMatrix3, InputArray distCoeffs3, InputArrayOfArrays imgpt1, InputArrayOfArrays imgpt3, Size imageSize, InputArray R12, InputArray T12, InputArray R13, InputArray T13, OutputArray R1, OutputArray R2, OutputArray R3, OutputArray P1, OutputArray P2, OutputArray P3, OutputArray Q, double alpha, Size newImgSize, Rect *roi1, Rect *roi2, int flags) |
| computes the rectification transformations for 3-head camera, where all the heads are on the same line. More... | |
| ErrorCallback | redirectError (ErrorCallback errCallback, void *userdata=0, void **prevUserdata=0) |
| Sets the new error handler and the optional user data. More... | |
| void | reduce (InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1) |
| Reduces a matrix to a vector. More... | |
| void | remap (InputArray src, OutputArray dst, InputArray map1, InputArray map2, int interpolation, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) |
| Applies a generic geometrical transformation to an image. More... | |
| void | repeat (InputArray src, int ny, int nx, OutputArray dst) |
| Fills the output array with repeated copies of the input array. More... | |
| Mat | repeat (const Mat &src, int ny, int nx) |
| void | reprojectImageTo3D (InputArray disparity, OutputArray _3dImage, InputArray Q, bool handleMissingValues=false, int ddepth=-1) |
| Reprojects a disparity image to 3D space. More... | |
| void | resize (InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR) |
| Resizes an image. More... | |
| void | resizeWindow (const String &winname, int width, int height) |
| Resizes window to the specified size. More... | |
| void | resizeWindow (const String &winname, const cv::Size &size) |
| void | Rodrigues (InputArray src, OutputArray dst, OutputArray jacobian=noArray()) |
| Converts a rotation matrix to a rotation vector or vice versa. More... | |
| void | rotate (InputArray src, OutputArray dst, int rotateCode) |
| Rotates a 2D array in multiples of 90 degrees. The function rotate rotates the array in one of three different ways: Rotate by 90 degrees clockwise (rotateCode = ROTATE_90). Rotate by 180 degrees clockwise (rotateCode = ROTATE_180). Rotate by 270 degrees clockwise (rotateCode = ROTATE_270). More... | |
| int | rotatedRectangleIntersection (const RotatedRect &rect1, const RotatedRect &rect2, OutputArray intersectingRegion) |
| Finds out if there is any intersection between two rotated rectangles. More... | |
| Vec3d | RQDecomp3x3 (InputArray src, OutputArray mtxR, OutputArray mtxQ, OutputArray Qx=noArray(), OutputArray Qy=noArray(), OutputArray Qz=noArray()) |
| Computes an RQ decomposition of 3x3 matrices. More... | |
| double | sampsonDistance (InputArray pt1, InputArray pt2, InputArray F) |
| Calculates the Sampson Distance between two points. More... | |
| template<typename _Tp > | |
| static _Tp | saturate_cast (uchar v) |
| Template function for accurate conversion from one primitive type to another. More... | |
| template<typename _Tp > | |
| static _Tp | saturate_cast (schar v) |
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| static _Tp | saturate_cast (ushort v) |
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| static _Tp | saturate_cast (short v) |
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| static _Tp | saturate_cast (unsigned v) |
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| static _Tp | saturate_cast (int v) |
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| static _Tp | saturate_cast (float v) |
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| static _Tp | saturate_cast (double v) |
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| static _Tp | saturate_cast (int64 v) |
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| static _Tp | saturate_cast (uint64 v) |
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| static _Tp | saturate_cast (softfloat a) |
| Saturate casts. More... | |
| template<typename _Tp > | |
| static _Tp | saturate_cast (softdouble a) |
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| int64 | saturate_cast< int64 > (uint64 v) |
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| int64_t | saturate_cast< int64_t > (softfloat a) |
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| unsigned | saturate_cast< unsigned > (softfloat a) |
| Saturate cast to unsigned integer and unsigned long long integer We intentionally do not clip negative numbers, to make -1 become 0xffffffff etc. More... | |
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| unsigned | saturate_cast< unsigned > (softdouble a) |
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| ushort | saturate_cast< ushort > (schar v) |
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| void | saveWindowParameters (const String &windowName) |
| Saves parameters of the specified window. More... | |
| void | scaleAdd (InputArray src1, double alpha, InputArray src2, OutputArray dst) |
| Calculates the sum of a scaled array and another array. More... | |
| void | Scharr (InputArray src, OutputArray dst, int ddepth, int dx, int dy, double scale=1, double delta=0, int borderType=BORDER_DEFAULT) |
| Calculates the first x- or y- image derivative using Scharr operator. More... | |
| void | seamlessClone (InputArray src, InputArray dst, InputArray mask, Point p, OutputArray blend, int flags) |
| Image editing tasks concern either global changes (color/intensity corrections, filters, deformations) or local changes concerned to a selection. Here we are interested in achieving local changes, ones that are restricted to a region manually selected (ROI), in a seamless and effortless manner. The extent of the changes ranges from slight distortions to complete replacement by novel content [142] . More... | |
| Rect | selectROI (const String &windowName, InputArray img, bool showCrosshair=true, bool fromCenter=false) |
Selects ROI on the given image. Function creates a window and allows user to select a ROI using mouse. Controls: use space or enter to finish selection, use key c to cancel selection (function will return the zero cv::Rect). More... | |
| Rect | selectROI (InputArray img, bool showCrosshair=true, bool fromCenter=false) |
| void | selectROIs (const String &windowName, InputArray img, std::vector< Rect > &boundingBoxes, bool showCrosshair=true, bool fromCenter=false) |
Selects ROIs on the given image. Function creates a window and allows user to select a ROIs using mouse. Controls: use space or enter to finish current selection and start a new one, use esc to terminate multiple ROI selection process. More... | |
| void | sepFilter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernelX, InputArray kernelY, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT) |
| Applies a separable linear filter to an image. More... | |
| void | seqInsertSlice (CvSeq *seq, int before_index, const CvArr *from_arr) |
| void | seqPop (CvSeq *seq, void *element=0) |
| void | seqPopFront (CvSeq *seq, void *element=0) |
| void | seqPopMulti (CvSeq *seq, void *elements, int count, int in_front=0) |
| schar * | seqPush (CvSeq *seq, const void *element=0) |
| schar * | seqPushFront (CvSeq *seq, const void *element=0) |
| void | seqRemove (CvSeq *seq, int index) |
| void | seqRemoveSlice (CvSeq *seq, CvSlice slice) |
| bool | setBreakOnError (bool flag) |
| Sets/resets the break-on-error mode. More... | |
| void | setIdentity (InputOutputArray mtx, const Scalar &s=Scalar(1)) |
| Initializes a scaled identity matrix. More... | |
| void | setMouseCallback (const String &winname, MouseCallback onMouse, void *userdata=0) |
| Sets mouse handler for the specified window. More... | |
| void | setNumThreads (int nthreads) |
| OpenCV will try to set the number of threads for the next parallel region. More... | |
| void | setOpenGlContext (const String &winname) |
| Sets the specified window as current OpenGL context. More... | |
| void | setOpenGlDrawCallback (const String &winname, OpenGlDrawCallback onOpenGlDraw, void *userdata=0) |
| Sets a callback function to be called to draw on top of displayed image. More... | |
| void | setRNGSeed (int seed) |
| Sets state of default random number generator. More... | |
| void | setTrackbarMax (const String &trackbarname, const String &winname, int maxval) |
| Sets the trackbar maximum position. More... | |
| void | setTrackbarMin (const String &trackbarname, const String &winname, int minval) |
| Sets the trackbar minimum position. More... | |
| void | setTrackbarPos (const String &trackbarname, const String &winname, int pos) |
| Sets the trackbar position. More... | |
| void | setUseOpenVX (bool flag) |
| Enable/disable use of OpenVX. More... | |
| void | setUseOptimized (bool onoff) |
| Enables or disables the optimized code. More... | |
| void | setWindowProperty (const String &winname, int prop_id, double prop_value) |
| Changes parameters of a window dynamically. More... | |
| void | setWindowTitle (const String &winname, const String &title) |
| Updates window title. More... | |
| softdouble | sin (const softdouble &a) |
| Sine. More... | |
| void | Sobel (InputArray src, OutputArray dst, int ddepth, int dx, int dy, int ksize=3, double scale=1, double delta=0, int borderType=BORDER_DEFAULT) |
| Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator. More... | |
| bool | solve (InputArray src1, InputArray src2, OutputArray dst, int flags=DECOMP_LU) |
| Solves one or more linear systems or least-squares problems. More... | |
| int | solveCubic (InputArray coeffs, OutputArray roots) |
| Finds the real roots of a cubic equation. More... | |
| int | solveLP (const Mat &Func, const Mat &Constr, Mat &z) |
| Solve given (non-integer) linear programming problem using the Simplex Algorithm (Simplex Method). More... | |
| int | solveP3P (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags) |
| Finds an object pose from 3 3D-2D point correspondences. More... | |
| bool | solvePnP (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess=false, int flags=SOLVEPNP_ITERATIVE) |
| Finds an object pose from 3D-2D point correspondences. More... | |
| bool | solvePnPRansac (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess=false, int iterationsCount=100, float reprojectionError=8.0, double confidence=0.99, OutputArray inliers=noArray(), int flags=SOLVEPNP_ITERATIVE) |
| Finds an object pose from 3D-2D point correspondences using the RANSAC scheme. More... | |
| double | solvePoly (InputArray coeffs, OutputArray roots, int maxIters=300) |
| Finds the real or complex roots of a polynomial equation. More... | |
| void | sort (InputArray src, OutputArray dst, int flags) |
| Sorts each row or each column of a matrix. More... | |
| void | sortIdx (InputArray src, OutputArray dst, int flags) |
| Sorts each row or each column of a matrix. More... | |
| void | spatialGradient (InputArray src, OutputArray dx, OutputArray dy, int ksize=3, int borderType=BORDER_DEFAULT) |
| Calculates the first order image derivative in both x and y using a Sobel operator. More... | |
| void | split (const Mat &src, Mat *mvbegin) |
| Divides a multi-channel array into several single-channel arrays. More... | |
| void | split (InputArray m, OutputArrayOfArrays mv) |
| void | sqrBoxFilter (InputArray _src, OutputArray _dst, int ddepth, Size ksize, Point anchor=Point(-1, -1), bool normalize=true, int borderType=BORDER_DEFAULT) |
| Calculates the normalized sum of squares of the pixel values overlapping the filter. More... | |
| softfloat | sqrt (const softfloat &a) |
| Square root. More... | |
| softdouble | sqrt (const softdouble &a) |
| void | sqrt (InputArray src, OutputArray dst) |
| Calculates a square root of array elements. More... | |
| int | startLoop (int(*pt2Func)(int argc, char *argv[]), int argc, char *argv[]) |
| int | startWindowThread () |
| double | stereoCalibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray cameraMatrix1, InputOutputArray distCoeffs1, InputOutputArray cameraMatrix2, InputOutputArray distCoeffs2, Size imageSize, OutputArray R, OutputArray T, OutputArray E, OutputArray F, int flags=CALIB_FIX_INTRINSIC, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 1e-6)) |
| Calibrates the stereo camera. More... | |
| void | stereoRectify (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, Size imageSize, InputArray R, InputArray T, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags=CALIB_ZERO_DISPARITY, double alpha=-1, Size newImageSize=Size(), Rect *validPixROI1=0, Rect *validPixROI2=0) |
| Computes rectification transforms for each head of a calibrated stereo camera. More... | |
| bool | stereoRectifyUncalibrated (InputArray points1, InputArray points2, InputArray F, Size imgSize, OutputArray H1, OutputArray H2, double threshold=5) |
| Computes a rectification transform for an uncalibrated stereo camera. More... | |
| void | stopLoop () |
| void | stylization (InputArray src, OutputArray dst, float sigma_s=60, float sigma_r=0.45f) |
| Stylization aims to produce digital imagery with a wide variety of effects not focused on photorealism. Edge-aware filters are ideal for stylization, as they can abstract regions of low contrast while preserving, or enhancing, high-contrast features. More... | |
| void | subtract (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1) |
| Calculates the per-element difference between two arrays or array and a scalar. More... | |
| Scalar | sum (InputArray src) |
| Calculates the sum of array elements. More... | |
| void | SVBackSubst (InputArray w, InputArray u, InputArray vt, InputArray rhs, OutputArray dst) |
| void | SVDecomp (InputArray src, OutputArray w, OutputArray u, OutputArray vt, int flags=0) |
| void | swap (Mat &a, Mat &b) |
| Swaps two matrices. More... | |
| void | swap (UMat &a, UMat &b) |
| template<typename T > | |
| void | swap (Ptr< T > &ptr1, Ptr< T > &ptr2) |
| String | tempfile (const char *suffix=0) |
| void | textureFlattening (InputArray src, InputArray mask, OutputArray dst, float low_threshold=30, float high_threshold=45, int kernel_size=3) |
| By retaining only the gradients at edge locations, before integrating with the Poisson solver, one washes out the texture of the selected region, giving its contents a flat aspect. Here Canny Edge Detector is used. More... | |
| RNG & | theRNG () |
| Returns the default random number generator. More... | |
| double | threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type) |
| Applies a fixed-level threshold to each array element. More... | |
| template<typename _Tp , int m, int n> | |
| static double | trace (const Matx< _Tp, m, n > &a) |
| Scalar | trace (InputArray mtx) |
| Returns the trace of a matrix. More... | |
| void | transform (InputArray src, OutputArray dst, InputArray m) |
| Performs the matrix transformation of every array element. More... | |
| void | transpose (InputArray src, OutputArray dst) |
| Transposes a matrix. More... | |
| void | triangulatePoints (InputArray projMatr1, InputArray projMatr2, InputArray projPoints1, InputArray projPoints2, OutputArray points4D) |
| Reconstructs points by triangulation. More... | |
| void | undistort (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray newCameraMatrix=noArray()) |
| Transforms an image to compensate for lens distortion. More... | |
| void | undistortPoints (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray R=noArray(), InputArray P=noArray()) |
| Computes the ideal point coordinates from the observed point coordinates. More... | |
| void | undistortPoints (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray R, InputArray P, TermCriteria criteria) |
| void | updateWindow (const String &winname) |
| Force window to redraw its context and call draw callback ( See cv::setOpenGlDrawCallback ). More... | |
| bool | useOpenVX () |
| Check if use of OpenVX is enabled. More... | |
| bool | useOptimized () |
| Returns the status of optimized code usage. More... | |
| template<typename _Tp , int n> | |
| v_reg< typename V_TypeTraits< _Tp >::abs_type, n > | v_abs (const v_reg< _Tp, n > &a) |
| Absolute value of elements. More... | |
| template<typename _Tp , int n> | |
| v_reg< typename V_TypeTraits< _Tp >::abs_type, n > | v_absdiff (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Absolute difference. More... | |
| v_float32x4 | v_absdiff (const v_float32x4 &a, const v_float32x4 &b) |
| v_float64x2 | v_absdiff (const v_float64x2 &a, const v_float64x2 &b) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_add_wrap (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Add values without saturation. More... | |
| template<typename _Tp , int n> | |
| v_reg< int, n > | v_ceil (const v_reg< _Tp, n > &a) |
| Ceil elements. More... | |
| template<int n> | |
| v_reg< int, n > | v_ceil (const v_reg< float, n > &a) |
| Ceil. More... | |
| template<int n> | |
| v_reg< int, n *2 > | v_ceil (const v_reg< double, n > &a) |
| template<typename _Tp , int n> | |
| bool | v_check_all (const v_reg< _Tp, n > &a) |
| Check if all packed values are less than zero. More... | |
| template<typename _Tp , int n> | |
| bool | v_check_any (const v_reg< _Tp, n > &a) |
| Check if any of packed values is less than zero. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_combine_high (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Combine vector from last elements of two vectors. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_combine_low (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Combine vector from first elements of two vectors. More... | |
| template<int n> | |
| v_reg< float, n > | v_cvt_f32 (const v_reg< int, n > &a) |
| Convert to float. More... | |
| template<int n> | |
| v_reg< double, n > | v_cvt_f64 (const v_reg< int, n *2 > &a) |
| Convert to double. More... | |
| template<int n> | |
| v_reg< double, n > | v_cvt_f64 (const v_reg< float, n *2 > &a) |
| Convert to double. More... | |
| template<typename _Tp , int n> | |
| v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > | v_dotprod (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Dot product of elements. More... | |
| template<typename _Tp , int n> | |
| void | v_expand (const v_reg< _Tp, n > &a, v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > &b0, v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > &b1) |
| Expand values to the wider pack type. More... | |
| template<int s, typename _Tp , int n> | |
| v_reg< _Tp, n > | v_extract (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Vector extract. More... | |
| template<typename _Tp , int n> | |
| v_reg< int, n > | v_floor (const v_reg< _Tp, n > &a) |
| Floor elements. More... | |
| template<int n> | |
| v_reg< int, n > | v_floor (const v_reg< float, n > &a) |
| Floor. More... | |
| template<int n> | |
| v_reg< int, n *2 > | v_floor (const v_reg< double, n > &a) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_invsqrt (const v_reg< _Tp, n > &a) |
| Inversed square root. More... | |
| template<typename _Tp > | |
| v_reg< _Tp, V_SIMD128Traits< _Tp >::nlanes > | v_load (const _Tp *ptr) |
| Load register contents from memory. More... | |
| template<typename _Tp > | |
| v_reg< _Tp, V_SIMD128Traits< _Tp >::nlanes > | v_load_aligned (const _Tp *ptr) |
| Load register contents from memory (aligned) More... | |
| template<typename _Tp , int n> | |
| void | v_load_deinterleave (const _Tp *ptr, v_reg< _Tp, n > &a, v_reg< _Tp, n > &b) |
| Load and deinterleave (2 channels) More... | |
| template<typename _Tp , int n> | |
| void | v_load_deinterleave (const _Tp *ptr, v_reg< _Tp, n > &a, v_reg< _Tp, n > &b, v_reg< _Tp, n > &c) |
| Load and deinterleave (3 channels) More... | |
| template<typename _Tp , int n> | |
| void | v_load_deinterleave (const _Tp *ptr, v_reg< _Tp, n > &a, v_reg< _Tp, n > &b, v_reg< _Tp, n > &c, v_reg< _Tp, n > &d) |
| Load and deinterleave (4 channels) More... | |
| template<typename _Tp > | |
| v_reg< typename V_TypeTraits< _Tp >::w_type, V_SIMD128Traits< _Tp >::nlanes/2 > | v_load_expand (const _Tp *ptr) |
| Load register contents from memory with double expand. More... | |
| template<typename _Tp > | |
| v_reg< typename V_TypeTraits< _Tp >::q_type, V_SIMD128Traits< _Tp >::nlanes/4 > | v_load_expand_q (const _Tp *ptr) |
| Load register contents from memory with quad expand. More... | |
| template<typename _Tp > | |
| v_reg< _Tp, V_SIMD128Traits< _Tp >::nlanes > | v_load_halves (const _Tp *loptr, const _Tp *hiptr) |
| Load register contents from two memory blocks. More... | |
| template<typename _Tp > | |
| v_reg< _Tp, V_SIMD128Traits< _Tp >::nlanes > | v_load_low (const _Tp *ptr) |
| Load 64-bits of data to lower part (high part is undefined). More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_magnitude (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Magnitude. More... | |
| v_float32x4 | v_matmul (const v_float32x4 &v, const v_float32x4 &m0, const v_float32x4 &m1, const v_float32x4 &m2, const v_float32x4 &m3) |
| Matrix multiplication. More... | |
| v_float32x4 | v_matmuladd (const v_float32x4 &v, const v_float32x4 &m0, const v_float32x4 &m1, const v_float32x4 &m2, const v_float32x4 &m3) |
| Matrix multiplication and add. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_max (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Choose max values for each pair. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_min (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Choose min values for each pair. More... | |
| template<typename _Tp , int n> | |
| void | v_mul_expand (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > &c, v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > &d) |
| Multiply and expand. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_muladd (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< _Tp, n > &c) |
| Multiply and add. More... | |
| template<typename _Tp , int n> | |
| v_uint32x4 | v_popcount (const v_reg< _Tp, n > &a) |
| Count the 1 bits in the vector and return 4 values. More... | |
| template<typename _Tp , int n> | |
| void | v_recombine (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, v_reg< _Tp, n > &low, v_reg< _Tp, n > &high) |
| Combine two vectors from lower and higher parts of two other vectors. More... | |
| template<typename _Tp , int n> | |
| _Tp | v_reduce_max (const v_reg< _Tp, n > &a) |
| Find one max value. More... | |
| template<typename _Tp , int n> | |
| _Tp | v_reduce_min (const v_reg< _Tp, n > &a) |
| Find one min value. More... | |
| template<typename _Tp , int n> | |
| V_TypeTraits< _Tp >::sum_type | v_reduce_sum (const v_reg< _Tp, n > &a) |
| Sum packed values. More... | |
| v_float32x4 | v_reduce_sum4 (const v_float32x4 &a, const v_float32x4 &b, const v_float32x4 &c, const v_float32x4 &d) |
| Sums all elements of each input vector, returns the vector of sums. More... | |
| template<int imm, typename _Tp , int n> | |
| v_reg< _Tp, n > | v_rotate_left (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<int imm, typename _Tp , int n> | |
| v_reg< _Tp, n > | v_rotate_left (const v_reg< _Tp, n > &a) |
| template<int imm, typename _Tp , int n> | |
| v_reg< _Tp, n > | v_rotate_right (const v_reg< _Tp, n > &a) |
| template<int imm, typename _Tp , int n> | |
| v_reg< _Tp, n > | v_rotate_right (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| template<typename _Tp , int n> | |
| v_reg< int, n > | v_round (const v_reg< _Tp, n > &a) |
| Round elements. More... | |
| template<int n> | |
| v_reg< int, n > | v_round (const v_reg< float, n > &a) |
| Round. More... | |
| template<int n> | |
| v_reg< int, n *2 > | v_round (const v_reg< double, n > &a) |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_select (const v_reg< _Tp, n > &mask, const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Bitwise select. More... | |
| template<typename _Tp , int n> | |
| int | v_signmask (const v_reg< _Tp, n > &a) |
| Get negative values mask. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_sqr_magnitude (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Square of the magnitude. More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_sqrt (const v_reg< _Tp, n > &a) |
| Square root of elements. More... | |
| template<typename _Tp , int n> | |
| void | v_store (_Tp *ptr, const v_reg< _Tp, n > &a) |
| Store data to memory. More... | |
| template<typename _Tp , int n> | |
| void | v_store_aligned (_Tp *ptr, const v_reg< _Tp, n > &a) |
| Store data to memory (aligned) More... | |
| template<typename _Tp , int n> | |
| void | v_store_high (_Tp *ptr, const v_reg< _Tp, n > &a) |
| Store data to memory (higher half) More... | |
| template<typename _Tp , int n> | |
| void | v_store_interleave (_Tp *ptr, const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Interleave and store (2 channels) More... | |
| template<typename _Tp , int n> | |
| void | v_store_interleave (_Tp *ptr, const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< _Tp, n > &c) |
| Interleave and store (3 channels) More... | |
| template<typename _Tp , int n> | |
| void | v_store_interleave (_Tp *ptr, const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< _Tp, n > &c, const v_reg< _Tp, n > &d) |
| Interleave and store (4 channels) More... | |
| template<typename _Tp , int n> | |
| void | v_store_low (_Tp *ptr, const v_reg< _Tp, n > &a) |
| Store data to memory (lower half) More... | |
| template<typename _Tp , int n> | |
| v_reg< _Tp, n > | v_sub_wrap (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b) |
| Subtract values without saturation. More... | |
| template<typename _Tp > | |
| void | v_transpose4x4 (v_reg< _Tp, 4 > &a0, const v_reg< _Tp, 4 > &a1, const v_reg< _Tp, 4 > &a2, const v_reg< _Tp, 4 > &a3, v_reg< _Tp, 4 > &b0, v_reg< _Tp, 4 > &b1, v_reg< _Tp, 4 > &b2, v_reg< _Tp, 4 > &b3) |
| Transpose 4x4 matrix. More... | |
| template<typename _Tp , int n> | |
| v_reg< int, n > | v_trunc (const v_reg< _Tp, n > &a) |
| Truncate elements. More... | |
| template<int n> | |
| v_reg< int, n > | v_trunc (const v_reg< float, n > &a) |
| Trunc. More... | |
| template<int n> | |
| v_reg< int, n *2 > | v_trunc (const v_reg< double, n > &a) |
| template<typename _Tp , int n> | |
| void | v_zip (const v_reg< _Tp, n > &a0, const v_reg< _Tp, n > &a1, v_reg< _Tp, n > &b0, v_reg< _Tp, n > &b1) |
| Interleave two vectors. More... | |
| void | validateDisparity (InputOutputArray disparity, InputArray cost, int minDisparity, int numberOfDisparities, int disp12MaxDisp=1) |
| validates disparity using the left-right check. The matrix "cost" should be computed by the stereo correspondence algorithm More... | |
| void | vconcat (const Mat *src, size_t nsrc, OutputArray dst) |
| Applies vertical concatenation to given matrices. More... | |
| void | vconcat (InputArray src1, InputArray src2, OutputArray dst) |
| void | vconcat (InputArrayOfArrays src, OutputArray dst) |
| int | waitKey (int delay=0) |
| Waits for a pressed key. More... | |
| int | waitKeyEx (int delay=0) |
| Similar to waitKey, but returns full key code. More... | |
| void | warpAffine (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) |
| Applies an affine transformation to an image. More... | |
| void | warpPerspective (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) |
| Applies a perspective transformation to an image. More... | |
| void | watershed (InputArray image, InputOutputArray markers) |
| Performs a marker-based image segmentation using the watershed algorithm. More... | |
| void | winrt_imshow () |
| void | winrt_initContainer (::Windows::UI::Xaml::Controls::Panel^ container) |
| Initializes container component that will be used to hold generated window content. More... | |
| void | winrt_onVisibilityChanged (bool visible) |
| void | winrt_setFrameContainer (::Windows::UI::Xaml::Controls::Image^ image) |
| template<typename ... Args> | |
| void | winrt_startMessageLoop (std::function< void(Args...)> &&callback, Args... args) |
| template<typename ... Args> | |
| void | winrt_startMessageLoop (void callback(Args...), Args... args) |
| template void | winrt_startMessageLoop (void callback(void)) |
| float | wrapperEMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), Ptr< float > lowerBound=Ptr< float >(), OutputArray flow=noArray()) |
| void | write (FileStorage &fs, const String &name, const optflow::GPCTree::Node &node) |
Init with zero | |
Create new vector with zero elements | |
| v_uint8x16 | v_setzero_u8 () |
| v_int8x16 | v_setzero_s8 () |
| v_uint16x8 | v_setzero_u16 () |
| v_int16x8 | v_setzero_s16 () |
| v_uint32x4 | v_setzero_u32 () |
| v_int32x4 | v_setzero_s32 () |
| v_float32x4 | v_setzero_f32 () |
| v_float64x2 | v_setzero_f64 () |
| v_uint64x2 | v_setzero_u64 () |
| v_int64x2 | v_setzero_s64 () |
Init with value | |
Create new vector with elements set to a specific value | |
| v_uint8x16 | v_setall_u8 (uchar val) |
| v_int8x16 | v_setall_s8 (schar val) |
| v_uint16x8 | v_setall_u16 (ushort val) |
| v_int16x8 | v_setall_s16 (short val) |
| v_uint32x4 | v_setall_u32 (unsigned val) |
| v_int32x4 | v_setall_s32 (int val) |
| v_float32x4 | v_setall_f32 (float val) |
| v_float64x2 | v_setall_f64 (double val) |
| v_uint64x2 | v_setall_u64 (uint64 val) |
| v_int64x2 | v_setall_s64 (int64 val) |
Reinterpret | |
Convert vector to different type without modifying underlying data. | |
| template<typename _Tp0 , int n0> | |
| v_uint8x16 | v_reinterpret_as_u8 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_int8x16 | v_reinterpret_as_s8 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_uint16x8 | v_reinterpret_as_u16 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_int16x8 | v_reinterpret_as_s16 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_uint32x4 | v_reinterpret_as_u32 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_int32x4 | v_reinterpret_as_s32 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_float32x4 | v_reinterpret_as_f32 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_float64x2 | v_reinterpret_as_f64 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_uint64x2 | v_reinterpret_as_u64 (const v_reg< _Tp0, n0 > &a) |
| template<typename _Tp0 , int n0> | |
| v_int64x2 | v_reinterpret_as_s64 (const v_reg< _Tp0, n0 > &a) |
Left shift | |
Shift left | |
| template<int n> | |
| v_uint16x8 | v_shl (const v_uint16x8 &a) |
| template<int n> | |
| v_int16x8 | v_shl (const v_int16x8 &a) |
| template<int n> | |
| v_uint32x4 | v_shl (const v_uint32x4 &a) |
| template<int n> | |
| v_int32x4 | v_shl (const v_int32x4 &a) |
| template<int n> | |
| v_uint64x2 | v_shl (const v_uint64x2 &a) |
| template<int n> | |
| v_int64x2 | v_shl (const v_int64x2 &a) |
Right shift | |
Shift right | |
| template<int n> | |
| v_uint16x8 | v_shr (const v_uint16x8 &a) |
| template<int n> | |
| v_int16x8 | v_shr (const v_int16x8 &a) |
| template<int n> | |
| v_uint32x4 | v_shr (const v_uint32x4 &a) |
| template<int n> | |
| v_int32x4 | v_shr (const v_int32x4 &a) |
| template<int n> | |
| v_uint64x2 | v_shr (const v_uint64x2 &a) |
| template<int n> | |
| v_int64x2 | v_shr (const v_int64x2 &a) |
Rounding shift | |
Rounding shift right | |
| template<int n> | |
| v_uint16x8 | v_rshr (const v_uint16x8 &a) |
| template<int n> | |
| v_int16x8 | v_rshr (const v_int16x8 &a) |
| template<int n> | |
| v_uint32x4 | v_rshr (const v_uint32x4 &a) |
| template<int n> | |
| v_int32x4 | v_rshr (const v_int32x4 &a) |
| template<int n> | |
| v_uint64x2 | v_rshr (const v_uint64x2 &a) |
| template<int n> | |
| v_int64x2 | v_rshr (const v_int64x2 &a) |
Pack | |
Pack values from two vectors to one Return vector type have twice more elements than input vector types. Variant with u suffix also converts to corresponding unsigned type.
| |
| v_uint8x16 | v_pack (const v_uint16x8 &a, const v_uint16x8 &b) |
| v_int8x16 | v_pack (const v_int16x8 &a, const v_int16x8 &b) |
| v_uint16x8 | v_pack (const v_uint32x4 &a, const v_uint32x4 &b) |
| v_int16x8 | v_pack (const v_int32x4 &a, const v_int32x4 &b) |
| v_uint32x4 | v_pack (const v_uint64x2 &a, const v_uint64x2 &b) |
| v_int32x4 | v_pack (const v_int64x2 &a, const v_int64x2 &b) |
| v_uint8x16 | v_pack_u (const v_int16x8 &a, const v_int16x8 &b) |
| v_uint16x8 | v_pack_u (const v_int32x4 &a, const v_int32x4 &b) |
Pack with rounding shift | |
Pack values from two vectors to one with rounding shift Values from the input vectors will be shifted right by n bits with rounding, converted to narrower type and returned in the result vector. Variant with u suffix converts to unsigned type.
| |
| template<int n> | |
| v_uint8x16 | v_rshr_pack (const v_uint16x8 &a, const v_uint16x8 &b) |
| template<int n> | |
| v_int8x16 | v_rshr_pack (const v_int16x8 &a, const v_int16x8 &b) |
| template<int n> | |
| v_uint16x8 | v_rshr_pack (const v_uint32x4 &a, const v_uint32x4 &b) |
| template<int n> | |
| v_int16x8 | v_rshr_pack (const v_int32x4 &a, const v_int32x4 &b) |
| template<int n> | |
| v_uint32x4 | v_rshr_pack (const v_uint64x2 &a, const v_uint64x2 &b) |
| template<int n> | |
| v_int32x4 | v_rshr_pack (const v_int64x2 &a, const v_int64x2 &b) |
| template<int n> | |
| v_uint8x16 | v_rshr_pack_u (const v_int16x8 &a, const v_int16x8 &b) |
| template<int n> | |
| v_uint16x8 | v_rshr_pack_u (const v_int32x4 &a, const v_int32x4 &b) |
Pack and store | |
Store values from the input vector into memory with pack Values will be stored into memory with conversion to narrower type. Variant with u suffix converts to corresponding unsigned type.
| |
| void | v_pack_store (uchar *ptr, const v_uint16x8 &a) |
| void | v_pack_store (schar *ptr, const v_int16x8 &a) |
| void | v_pack_store (ushort *ptr, const v_uint32x4 &a) |
| void | v_pack_store (short *ptr, const v_int32x4 &a) |
| void | v_pack_store (unsigned *ptr, const v_uint64x2 &a) |
| void | v_pack_store (int *ptr, const v_int64x2 &a) |
| void | v_pack_u_store (uchar *ptr, const v_int16x8 &a) |
| void | v_pack_u_store (ushort *ptr, const v_int32x4 &a) |
Pack and store with rounding shift | |
Store values from the input vector into memory with pack Values will be shifted n bits right with rounding, converted to narrower type and stored into memory. Variant with u suffix converts to unsigned type.
| |
| template<int n> | |
| void | v_rshr_pack_store (uchar *ptr, const v_uint16x8 &a) |
| template<int n> | |
| void | v_rshr_pack_store (schar *ptr, const v_int16x8 &a) |
| template<int n> | |
| void | v_rshr_pack_store (ushort *ptr, const v_uint32x4 &a) |
| template<int n> | |
| void | v_rshr_pack_store (short *ptr, const v_int32x4 &a) |
| template<int n> | |
| void | v_rshr_pack_store (unsigned *ptr, const v_uint64x2 &a) |
| template<int n> | |
| void | v_rshr_pack_store (int *ptr, const v_int64x2 &a) |
| template<int n> | |
| void | v_rshr_pack_u_store (uchar *ptr, const v_int16x8 &a) |
| template<int n> | |
| void | v_rshr_pack_u_store (ushort *ptr, const v_int32x4 &a) |
Check SIMD support | |
Check CPU capability of SIMD operation | |
| static bool | hasSIMD128 () |
Variables | |
| CV__DEBUG_NS_END typedef const _InputArray & | InputArray |
| static const unsigned char | popCountTable [] |
todo: supporting half precision for power9 convert instractions xvcvhpsp, xvcvsphp
|
inlinestatic |
| void cv::cvEndWriteRawData_Base64 | ( | ::CvFileStorage * | fs | ) |
| void cv::cvWriteMat_Base64 | ( | ::CvFileStorage * | fs, |
| const char * | name, | ||
| const ::CvMat * | mat | ||
| ) |
| void cv::cvWriteMatND_Base64 | ( | ::CvFileStorage * | fs, |
| const char * | name, | ||
| const ::CvMatND * | mat | ||
| ) |
| void cv::cvWriteRawData_Base64 | ( | ::CvFileStorage * | fs, |
| const void * | _data, | ||
| int | len | ||
| ) |
|
inlinestatic |
| bool cv::haveOpenVX | ( | ) |
| Python: | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| retval | = | cv.haveOpenVX( | ) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Check if use of OpenVX is possible.
| void cv::read | ( | const FileNode & | fn, |
| optflow::GPCTree::Node & | node, | ||
| optflow::GPCTree::Node | |||
| ) |
| void cv::setUseOpenVX | ( | bool | flag | ) |
| Python: | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| None | = | cv.setUseOpenVX( | flag | ) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Enable/disable use of OpenVX.
| bool cv::useOpenVX | ( | ) |
| Python: | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| retval | = | cv.useOpenVX( | ) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Check if use of OpenVX is enabled.
| void cv::write | ( | FileStorage & | fs, |
| const String & | name, | ||
| const optflow::GPCTree::Node & | node | ||
| ) |
1.8.12