cv Namespace Reference

"black box" representation of the file storage associated with a file on disk. More...

Namespaces
namespace	alphamat
namespace	aruco
namespace	barcode
namespace	bgsegm
namespace	bioinspired
namespace	cann
namespace	ccalib
namespace	ccm
namespace	colored_kinfu
namespace	cuda
namespace	cudacodec
namespace	cudev
namespace	datasets
namespace	detail
namespace	details
namespace	directx
namespace	dnn
namespace	dnn_objdetect
namespace	dnn_superres
namespace	dpm
namespace	dynafu
namespace	Error
namespace	face
namespace	fisheye
	The methods in this namespace use a so-called fisheye camera model.
namespace	flann
namespace	freetype
namespace	ft
namespace	gapi
namespace	gimpl
namespace	hal
namespace	hdf
namespace	hfs
namespace	img_hash
namespace	instr
namespace	intensity_transform
namespace	internal
namespace	julia
namespace	kinfu
namespace	large_kinfu
namespace	legacy
namespace	line_descriptor
namespace	linemod
namespace	mcc
namespace	ml
namespace	motempl
namespace	multicalib
namespace	ocl
namespace	ogl
namespace	omnidir
namespace	optflow
namespace	ovis
namespace	parallel
namespace	phase_unwrapping
namespace	plot
namespace	ppf_match_3d
namespace	quality
namespace	randpattern
namespace	rapid
namespace	reg
namespace	rgbd
namespace	saliency
namespace	samples
namespace	segmentation
namespace	sfm
namespace	signal
namespace	stereo
namespace	structured_light
namespace	superres
namespace	text
namespace	traits
namespace	util
namespace	utils
namespace	va_intel
namespace	videoio_registry
namespace	videostab
namespace	viz
namespace	wechat_qrcode
namespace	xfeatures2d
namespace	ximgproc
namespace	xobjdetect
namespace	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	AffineFeature
	Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [311] . 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 [10]. 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	AsyncArray
	Returns result of asynchronous operations. More...
class	AsyncPromise
	Provides result of asynchronous operations. More...
class	AutoBuffer
	Automatically Allocated Buffer Class. More...
class	AVIReadContainer
class	AVIWriteContainer
class	BackgroundSubtractor
	Base class for background/foreground segmentation. : More...
class	BackgroundSubtractorKNN
	K-nearest neighbours - based Background/Foreground Segmentation Algorithm. More...
class	BackgroundSubtractorMOG2
	Gaussian Mixture-based Background/Foreground Segmentation Algorithm. More...
class	BaseCascadeClassifier
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 [158] . 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
class	CLAHE
	Base class for Contrast Limited Adaptive Histogram Equalization. More...
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	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< hfloat >
class	DataType< int >
class	DataType< int1 >
class	DataType< int2 >
class	DataType< int3 >
class	DataType< int4 >
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 >
struct	DefaultDeleter< CvHaarClassifierCascade >
class	DenseOpticalFlow
class	DescriptorMatcher
	Abstract base class for matching keypoint descriptors. More...
class	DetectionBasedTracker
struct	DetectionROI
	struct for detection region of interest (ROI) More...
class	DISOpticalFlow
	DIS optical flow algorithm. More...
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...
class	DualQuat
class	EMDHistogramCostExtractor
	An EMD based cost extraction. : More...
class	EMDL1HistogramCostExtractor
	An EMD-L1 based cost extraction. : More...
class	Exception
	Class passed to an error. More...
class	FaceDetectorYN
	DNN-based face detector. More...
class	FaceRecognizerSF
	DNN-based face recognizer. 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	GArg
class	GArray
	cv::GArray<T> template class represents a list of objects of class T in the graph. More...
struct	GArrayDesc
class	GCall
struct	GCompileArg
	Represents an arbitrary compilation argument. More...
class	GCompiled
	Represents a compiled computation (graph). Can only be used with image / data formats & resolutions it was compiled for, with some exceptions. More...
class	GComputation
	GComputation class represents a captured computation graph. GComputation objects form boundaries for expression code user writes with G-API, allowing to compile and execute it. More...
class	GComputationT
	This class is a typed wrapper over a regular GComputation. More...
class	GComputationT< R(Args...)>
class	GComputationT< std::tuple< R... >(Args...)>
class	GCPUContext
class	GCPUKernel
class	GCPUKernelImpl
class	GCPUStKernelImpl
class	GeneralizedHough
	finds arbitrary template in the grayscale image using Generalized Hough Transform More...
class	GeneralizedHoughBallard
	finds arbitrary template in the grayscale image using Generalized Hough Transform More...
class	GeneralizedHoughGuil
	finds arbitrary template in the grayscale image using Generalized Hough Transform More...
class	GFluidKernel
class	GFluidKernelImpl
struct	GFluidOutputRois
	This structure allows to control the output image region which Fluid backend will produce in the graph. More...
struct	GFluidParallelFor
	This structure allows to customize the way how Fluid executes parallel regions. More...
struct	GFluidParallelOutputRois
	This structure forces Fluid backend to generate multiple parallel output regions in the graph. These regions execute in parallel. More...
class	GFrame
	GFrame class represents an image or media frame in the graph. More...
struct	GFrameDesc
class	GFTTDetector
	Wrapping class for feature detection using the goodFeaturesToTrack function. : More...
struct	GInfer
struct	GInferBase
struct	GInferList
struct	GInferList2
struct	GInferList2Base
struct	GInferListBase
struct	GInferROI
struct	GInferROIBase
struct	GIOProtoArgs
struct	GKernel
struct	GKernelImpl
class	GKernelPackage
	A container class for heterogeneous kernel implementation collections and graph transformations. More...
class	GKernelType
class	GKernelType< K, std::function< R(Args...)> >
class	GKernelTypeM
class	GKernelTypeM< K, std::function< std::tuple< R... >(Args...)> >
class	GMat
	GMat class represents image or tensor data in the graph. More...
struct	GMatDesc
class	GMatP
class	GNetworkType
class	GNetworkType< K, std::function< R(Args...)> >
class	GNetworkType< K, std::function< std::tuple< R... >(Args...)> >
class	GOCLContext
class	GOCLKernel
class	GOCLKernelImpl
class	GOpaque
	cv::GOpaque<T> template class represents an object of class T in the graph. More...
struct	GOpaqueDesc
struct	GPlaidMLContext
class	GPlaidMLKernel
class	GPlaidMLKernelImpl
struct	graph_dump_path
	Ask G-API to dump compiled graph in Graphviz format under the given file name. More...
class	GraphicalCodeDetector
struct	GRunArg
class	GScalar
	GScalar class represents cv::Scalar data in the graph. More...
struct	GScalarDesc
class	GStreamingCompiled
	Represents a computation (graph) compiled for streaming. More...
struct	GTransform
class	GTransformImpl
class	GTransformImpl< K, std::function< R(Args...)> >
struct	GTypeInfo
struct	Hamming
class	HausdorffDistanceExtractor
	A simple Hausdorff distance measure between shapes defined by contours. More...
class	hfloat
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	ImageCollection
	To read Multi Page images on demand. More...
struct	In_Tag
struct	InferAPI
struct	InferAPIList
struct	InferAPIList2
struct	InferAPIRoi
class	KalmanFilter
	Kalman filter class. More...
class	KAZE
	Class implementing the KAZE keypoint detector and descriptor extractor, described in [9] . 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
	Class for iterating over all pixels on a raster line segment. More...
class	LineSegmentDetector
	Line segment detector class. More...
class	LMSolver
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 This is a list of implemented matrix operations that can be combined in arbitrary complex expressions (here A, B stand for matrices ( Mat ), s for a scalar ( Scalar ), alpha for a real-valued scalar ( double )): 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	MediaFrame
	cv::MediaFrame class represents an image/media frame obtained from an external source. 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	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...
struct	Out_Tag
class	PaniniPortraitWarper
class	PaniniWarper
class	ParallelLoopBody
	Base class for parallel data processors. More...
class	ParallelLoopBodyLambdaWrapper
struct	ParamType
struct	ParamType< _Tp, typename std::enable_if< std::is_enum< _Tp >::value >::type >
struct	ParamType< Algorithm >
struct	ParamType< bool >
struct	ParamType< double >
struct	ParamType< float >
struct	ParamType< int >
struct	ParamType< Mat >
struct	ParamType< Scalar >
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...
class	PyRotationWarper
class	QRCodeDetector
class	QRCodeDetectorAruco
class	QRCodeEncoder
struct	QtFont
	QtFont available only for Qt. See cv::fontQt. More...
class	Quat
class	QuatEnum
class	Range
	Template class specifying a continuous subsequence (slice) of a sequence. More...
class	Rect_
	Template class for 2D rectangles. More...
class	RMat
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	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	SIFT
	Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [173] . More...
class	SimilarRects
	This class is used for grouping object candidates detected by Cascade Classifier, HOG etc. More...
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 [126] that differs from the original one as follows: More...
class	Stitcher
	High level image stitcher. More...
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
	Simple TLS data class. More...
class	TLSDataAccumulator
	TLS data accumulator with gathering methods. More...
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	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	TrackerCSRT
	the CSRT tracker More...
class	TrackerDaSiamRPN
class	TrackerGOTURN
	the GOTURN (Generic Object Tracking Using Regression Networks) tracker More...
class	TrackerKCF
	the KCF (Kernelized Correlation Filter) tracker More...
class	TrackerMIL
	The MIL algorithm trains a classifier in an online manner to separate the object from the background. More...
class	TrackerNano
	the Nano tracker is a super lightweight dnn-based general object tracking. More...
class	TrackerVit
	the VIT tracker is a super lightweight dnn-based general object tracking. More...
class	TransverseMercatorWarper
class	UMat
struct	UMatData
struct	UsacParams
struct	use_threaded_executor
	Ask G-API to use threaded executor when cv::GComputation is compiled via cv::GComputation::compile method. More...
struct	v_reg
struct	V_TypeTraits
struct	V_TypeTraits< double >
struct	V_TypeTraits< float >
struct	V_TypeTraits< int >
struct	V_TypeTraits< int64 >
struct	V_TypeTraits< schar >
struct	V_TypeTraits< short >
struct	V_TypeTraits< uchar >
struct	V_TypeTraits< uint64 >
struct	V_TypeTraits< unsigned >
struct	V_TypeTraits< ushort >
class	VariationalRefinement
	Variational optical flow refinement. More...
class	Vec
	Template class for short numerical vectors, a partial case of Matx. 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...

Typedefs
typedef Affine3< double >	Affine3d
typedef Affine3< float >	Affine3f
typedef AffineFeature	AffineDescriptorExtractor
typedef AffineFeature	AffineFeatureDetector
typedef std::lock_guard< cv::Mutex >	AutoLock
typedef void(*	ButtonCallback) (int state, void *userdata)
	Callback function for a button created by cv::createButton.
typedef CirclesGridFinderParameters	CirclesGridFinderParameters2
typedef Complex< double >	Complexd
typedef Complex< float >	Complexf
typedef Feature2D	DescriptorExtractor
using	DualQuatd = DualQuat< double >
using	DualQuatf = DualQuat< float >
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 hfloat	float16_t
typedef details::FPDenormalsIgnoreHintScopeNOOP	FPDenormalsIgnoreHintScope
typedef frame_list::iterator	frame_iterator
typedef std::deque< std::pair< uint64_t, uint32_t > >	frame_list
using	GArgs = std::vector< GArg >
using	GCompileArgs = std::vector< GCompileArg >
using	GCtors = std::vector< detail::HostCtor >
using	GInferInputs = cv::detail::GInferInputsTyped< cv::GMat, cv::GFrame >
	G-API object used to collect network inputs.
using	GInferListInputs = cv::detail::GInferInputsTyped< cv::GArray< cv::GMat >, cv::GArray< cv::Rect > >
	G-API object used to collect the list of network inputs.
using	GInferListOutputs = cv::detail::GInferOutputsTyped< cv::GArray< cv::GMat > >
	G-API object used to collect the list of network outputs.
using	GInferOutputs = cv::detail::GInferOutputsTyped< cv::GMat >
	G-API object used to collect network outputs.
using	GKinds = std::vector< cv::detail::OpaqueKind >
using	GMetaArg = util::variant< util::monostate, GMatDesc, GScalarDesc, GArrayDesc, GOpaqueDesc, GFrameDesc >
using	GMetaArgs = std::vector< GMetaArg >
using	GOptRunArg = util::variant< optional< cv::Mat >, optional< cv::RMat >, optional< cv::MediaFrame >, optional< cv::Scalar >, optional< cv::detail::VectorRef >, optional< cv::detail::OpaqueRef > >
using	GOptRunArgP = util::variant< optional< cv::Mat > *, optional< cv::RMat > *, optional< cv::MediaFrame > *, optional< cv::Scalar > *, cv::detail::OptionalVectorRef, cv::detail::OptionalOpaqueRef >
using	GOptRunArgs = std::vector< GOptRunArg >
using	GOptRunArgsP = std::vector< GOptRunArgP >
using	GProtoArg = util::variant< GMat, GMatP, GFrame, GScalar, detail::GArrayU, detail::GOpaqueU >
using	GProtoArgs = std::vector< GProtoArg >
using	GProtoInputArgs = GIOProtoArgs< In_Tag >
using	GProtoOutputArgs = GIOProtoArgs< Out_Tag >
using	GRunArgBase = util::variant< cv::UMat, cv::RMat, cv::gapi::wip::IStreamSource::Ptr, cv::Mat, cv::Scalar, cv::detail::VectorRef, cv::detail::OpaqueRef, cv::MediaFrame >
using	GRunArgP = util::variant< cv::UMat *, cv::Mat *, cv::RMat *, cv::Scalar *, cv::MediaFrame *, cv::detail::VectorRef, cv::detail::OpaqueRef >
using	GRunArgs = std::vector< GRunArg >
using	GRunArgsP = std::vector< GRunArgP >
using	GShapes = std::vector< GShape >
using	GTypesInfo = std::vector< GTypeInfo >
typedef Hamming	HammingLUT
typedef const _InputArray &	InputArray
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 void(*	MouseCallback) (int event, int x, int y, int flags, void *userdata)
	Callback function for mouse events. see cv::setMouseCallback.
typedef std::recursive_mutex	Mutex
typedef void(*	OpenGlDrawCallback) (void *userdata)
	Callback function defined to be called every frame. See cv::setOpenGlDrawCallback.
template<class T >
using	optional = cv::util::optional< T >
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
template<typename _Tp >
using	Ptr = std::shared_ptr< _Tp >
using	Quatd = Quat< double >
using	Quatf = Quat< float >
typedef Rect2i	Rect
typedef Rect_< double >	Rect2d
typedef Rect_< float >	Rect2f
typedef Rect_< int >	Rect2i
typedef Scalar_< double >	Scalar
typedef SIFT	SiftDescriptorExtractor
typedef SIFT	SiftFeatureDetector
typedef Size2i	Size
typedef Size_< double >	Size2d
typedef Size_< float >	Size2f
typedef Size_< int >	Size2i
typedef Size_< int64 >	Size2l
typedef std::string	String
typedef void(*	TrackbarCallback) (int pos, void *userdata)
	Callback function for Trackbar see cv::createTrackbar.
typedef v_reg< float, 16 >	v_float32x16
	Sixteen 32-bit floating point values (single precision)
typedef v_reg< float, 4 >	v_float32x4
	Four 32-bit floating point values (single precision)
typedef v_reg< float, 8 >	v_float32x8
	Eight 32-bit floating point values (single precision)
typedef v_reg< double, 2 >	v_float64x2
	Two 64-bit floating point values (double precision)
typedef v_reg< double, 4 >	v_float64x4
	Four 64-bit floating point values (double precision)
typedef v_reg< double, 8 >	v_float64x8
	Eight 64-bit floating point values (double precision)
typedef v_reg< short, 16 >	v_int16x16
	Sixteen 16-bit signed integer values.
typedef v_reg< short, 32 >	v_int16x32
	Thirty two 16-bit signed integer values.
typedef v_reg< short, 8 >	v_int16x8
	Eight 16-bit signed integer values.
typedef v_reg< int, 16 >	v_int32x16
	Sixteen 32-bit signed integer values.
typedef v_reg< int, 4 >	v_int32x4
	Four 32-bit signed integer values.
typedef v_reg< int, 8 >	v_int32x8
	Eight 32-bit signed integer values.
typedef v_reg< int64, 2 >	v_int64x2
	Two 64-bit signed integer values.
typedef v_reg< int64, 4 >	v_int64x4
	Four 64-bit signed integer values.
typedef v_reg< int64, 8 >	v_int64x8
	Eight 64-bit signed integer values.
typedef v_reg< schar, 16 >	v_int8x16
	Sixteen 8-bit signed integer values.
typedef v_reg< schar, 32 >	v_int8x32
	Thirty two 8-bit signed integer values.
typedef v_reg< schar, 64 >	v_int8x64
	Sixty four 8-bit signed integer values.
typedef v_reg< ushort, 16 >	v_uint16x16
	Sixteen 16-bit unsigned integer values.
typedef v_reg< ushort, 32 >	v_uint16x32
	Thirty two 16-bit unsigned integer values.
typedef v_reg< ushort, 8 >	v_uint16x8
	Eight 16-bit unsigned integer values.
typedef v_reg< unsigned, 16 >	v_uint32x16
	Sixteen 32-bit unsigned integer values.
typedef v_reg< unsigned, 4 >	v_uint32x4
	Four 32-bit unsigned integer values.
typedef v_reg< unsigned, 8 >	v_uint32x8
	Eight 32-bit unsigned integer values.
typedef v_reg< uint64, 2 >	v_uint64x2
	Two 64-bit unsigned integer values.
typedef v_reg< uint64, 4 >	v_uint64x4
	Four 64-bit unsigned integer values.
typedef v_reg< uint64, 8 >	v_uint64x8
	Eight 64-bit unsigned integer values.
typedef v_reg< uchar, 16 >	v_uint8x16
	Sixteen 8-bit unsigned integer values.
typedef v_reg< uchar, 32 >	v_uint8x32
	Thirty two 8-bit unsigned integer values.
typedef v_reg< uchar, 64 >	v_uint8x64
	Sixty four 8-bit unsigned integer values.
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

Enumerations
enum	{   CASCADE_DO_CANNY_PRUNING = 1 ,   CASCADE_SCALE_IMAGE = 2 ,   CASCADE_FIND_BIGGEST_OBJECT = 4 ,   CASCADE_DO_ROUGH_SEARCH = 8 }
enum	{   INPAINT_NS = 0 ,   INPAINT_TELEA = 1 }
enum	{ LDR_SIZE = 256 }
enum	{   NORMAL_CLONE = 1 ,   MIXED_CLONE = 2 ,   MONOCHROME_TRANSFER = 3 }
	seamlessClone algorithm flags More...
enum	{   RECURS_FILTER = 1 ,   NORMCONV_FILTER = 2 }
	Edge preserving filters. More...
enum	{   simd128_width = 16 ,   simd256_width = 32 ,   simd512_width = 64 ,   simdmax_width = simd512_width }
enum	{   OPEN_CAMERA = 300 ,   CLOSE_CAMERA ,   UPDATE_IMAGE_ELEMENT ,   SHOW_TRACKBAR }
enum	{   COLORSPACE_GRAY =0 ,   COLORSPACE_RGBA =1 ,   COLORSPACE_BGR =2 ,   COLORSPACE_YUV444P =3 }
enum	{   OPTFLOW_USE_INITIAL_FLOW = 4 ,   OPTFLOW_LK_GET_MIN_EIGENVALS = 8 ,   OPTFLOW_FARNEBACK_GAUSSIAN = 256 }
enum	{   MOTION_TRANSLATION = 0 ,   MOTION_EUCLIDEAN = 1 ,   MOTION_AFFINE = 2 ,   MOTION_HOMOGRAPHY = 3 }
enum	{   LMEDS = 4 ,   RANSAC = 8 ,   RHO = 16 ,   USAC_DEFAULT = 32 ,   USAC_PARALLEL = 33 ,   USAC_FM_8PTS = 34 ,   USAC_FAST = 35 ,   USAC_ACCURATE = 36 ,   USAC_PROSAC = 37 ,   USAC_MAGSAC = 38 }
	type of the robust estimation algorithm More...
enum	{   CALIB_CB_ADAPTIVE_THRESH = 1 ,   CALIB_CB_NORMALIZE_IMAGE = 2 ,   CALIB_CB_FILTER_QUADS = 4 ,   CALIB_CB_FAST_CHECK = 8 ,   CALIB_CB_EXHAUSTIVE = 16 ,   CALIB_CB_ACCURACY = 32 ,   CALIB_CB_LARGER = 64 ,   CALIB_CB_MARKER = 128 ,   CALIB_CB_PLAIN = 256 }
enum	{   CALIB_CB_SYMMETRIC_GRID = 1 ,   CALIB_CB_ASYMMETRIC_GRID = 2 ,   CALIB_CB_CLUSTERING = 4 }
enum	{   CALIB_NINTRINSIC = 18 ,   CALIB_USE_INTRINSIC_GUESS = 0x00001 ,   CALIB_FIX_ASPECT_RATIO = 0x00002 ,   CALIB_FIX_PRINCIPAL_POINT = 0x00004 ,   CALIB_ZERO_TANGENT_DIST = 0x00008 ,   CALIB_FIX_FOCAL_LENGTH = 0x00010 ,   CALIB_FIX_K1 = 0x00020 ,   CALIB_FIX_K2 = 0x00040 ,   CALIB_FIX_K3 = 0x00080 ,   CALIB_FIX_K4 = 0x00800 ,   CALIB_FIX_K5 = 0x01000 ,   CALIB_FIX_K6 = 0x02000 ,   CALIB_RATIONAL_MODEL = 0x04000 ,   CALIB_THIN_PRISM_MODEL = 0x08000 ,   CALIB_FIX_S1_S2_S3_S4 = 0x10000 ,   CALIB_TILTED_MODEL = 0x40000 ,   CALIB_FIX_TAUX_TAUY = 0x80000 ,   CALIB_USE_QR = 0x100000 ,   CALIB_FIX_TANGENT_DIST = 0x200000 ,   CALIB_FIX_INTRINSIC = 0x00100 ,   CALIB_SAME_FOCAL_LENGTH = 0x00200 ,   CALIB_ZERO_DISPARITY = 0x00400 ,   CALIB_USE_LU = (1 << 17) ,   CALIB_USE_EXTRINSIC_GUESS = (1 << 22) }
enum	{   FM_7POINT = 1 ,   FM_8POINT = 2 ,   FM_LMEDS = 4 ,   FM_RANSAC = 8 }
	the algorithm for finding fundamental matrix More...
enum	AccessFlag {   ACCESS_READ =1<<24 ,   ACCESS_WRITE =1<<25 ,   ACCESS_RW =3<<24 ,   ACCESS_MASK =ACCESS_RW ,   ACCESS_FAST =1<<26 }
enum	AdaptiveThresholdTypes {   ADAPTIVE_THRESH_MEAN_C = 0 ,   ADAPTIVE_THRESH_GAUSSIAN_C = 1 }
enum	BorderTypes {   BORDER_CONSTANT = 0 ,   BORDER_REPLICATE = 1 ,   BORDER_REFLECT = 2 ,   BORDER_WRAP = 3 ,   BORDER_REFLECT_101 = 4 ,   BORDER_TRANSPARENT = 5 ,   BORDER_REFLECT101 = BORDER_REFLECT_101 ,   BORDER_DEFAULT = BORDER_REFLECT_101 ,   BORDER_ISOLATED = 16 }
enum	CmpTypes {   CMP_EQ = 0 ,   CMP_GT = 1 ,   CMP_GE = 2 ,   CMP_LT = 3 ,   CMP_LE = 4 ,   CMP_NE = 5 }
	comparison types More...
enum	Codecs { MJPEG }
enum	ColorConversionCodes {   COLOR_BGR2BGRA = 0 ,   COLOR_RGB2RGBA = COLOR_BGR2BGRA ,   COLOR_BGRA2BGR = 1 ,   COLOR_RGBA2RGB = COLOR_BGRA2BGR ,   COLOR_BGR2RGBA = 2 ,   COLOR_RGB2BGRA = COLOR_BGR2RGBA ,   COLOR_RGBA2BGR = 3 ,   COLOR_BGRA2RGB = COLOR_RGBA2BGR ,   COLOR_BGR2RGB = 4 ,   COLOR_RGB2BGR = COLOR_BGR2RGB ,   COLOR_BGRA2RGBA = 5 ,   COLOR_RGBA2BGRA = COLOR_BGRA2RGBA ,   COLOR_BGR2GRAY = 6 ,   COLOR_RGB2GRAY = 7 ,   COLOR_GRAY2BGR = 8 ,   COLOR_GRAY2RGB = COLOR_GRAY2BGR ,   COLOR_GRAY2BGRA = 9 ,   COLOR_GRAY2RGBA = COLOR_GRAY2BGRA ,   COLOR_BGRA2GRAY = 10 ,   COLOR_RGBA2GRAY = 11 ,   COLOR_BGR2BGR565 = 12 ,   COLOR_RGB2BGR565 = 13 ,   COLOR_BGR5652BGR = 14 ,   COLOR_BGR5652RGB = 15 ,   COLOR_BGRA2BGR565 = 16 ,   COLOR_RGBA2BGR565 = 17 ,   COLOR_BGR5652BGRA = 18 ,   COLOR_BGR5652RGBA = 19 ,   COLOR_GRAY2BGR565 = 20 ,   COLOR_BGR5652GRAY = 21 ,   COLOR_BGR2BGR555 = 22 ,   COLOR_RGB2BGR555 = 23 ,   COLOR_BGR5552BGR = 24 ,   COLOR_BGR5552RGB = 25 ,   COLOR_BGRA2BGR555 = 26 ,   COLOR_RGBA2BGR555 = 27 ,   COLOR_BGR5552BGRA = 28 ,   COLOR_BGR5552RGBA = 29 ,   COLOR_GRAY2BGR555 = 30 ,   COLOR_BGR5552GRAY = 31 ,   COLOR_BGR2XYZ = 32 ,   COLOR_RGB2XYZ = 33 ,   COLOR_XYZ2BGR = 34 ,   COLOR_XYZ2RGB = 35 ,   COLOR_BGR2YCrCb = 36 ,   COLOR_RGB2YCrCb = 37 ,   COLOR_YCrCb2BGR = 38 ,   COLOR_YCrCb2RGB = 39 ,   COLOR_BGR2HSV = 40 ,   COLOR_RGB2HSV = 41 ,   COLOR_BGR2Lab = 44 ,   COLOR_RGB2Lab = 45 ,   COLOR_BGR2Luv = 50 ,   COLOR_RGB2Luv = 51 ,   COLOR_BGR2HLS = 52 ,   COLOR_RGB2HLS = 53 ,   COLOR_HSV2BGR = 54 ,   COLOR_HSV2RGB = 55 ,   COLOR_Lab2BGR = 56 ,   COLOR_Lab2RGB = 57 ,   COLOR_Luv2BGR = 58 ,   COLOR_Luv2RGB = 59 ,   COLOR_HLS2BGR = 60 ,   COLOR_HLS2RGB = 61 ,   COLOR_BGR2HSV_FULL = 66 ,   COLOR_RGB2HSV_FULL = 67 ,   COLOR_BGR2HLS_FULL = 68 ,   COLOR_RGB2HLS_FULL = 69 ,   COLOR_HSV2BGR_FULL = 70 ,   COLOR_HSV2RGB_FULL = 71 ,   COLOR_HLS2BGR_FULL = 72 ,   COLOR_HLS2RGB_FULL = 73 ,   COLOR_LBGR2Lab = 74 ,   COLOR_LRGB2Lab = 75 ,   COLOR_LBGR2Luv = 76 ,   COLOR_LRGB2Luv = 77 ,   COLOR_Lab2LBGR = 78 ,   COLOR_Lab2LRGB = 79 ,   COLOR_Luv2LBGR = 80 ,   COLOR_Luv2LRGB = 81 ,   COLOR_BGR2YUV = 82 ,   COLOR_RGB2YUV = 83 ,   COLOR_YUV2BGR = 84 ,   COLOR_YUV2RGB = 85 ,   COLOR_YUV2RGB_NV12 = 90 ,   COLOR_YUV2BGR_NV12 = 91 ,   COLOR_YUV2RGB_NV21 = 92 ,   COLOR_YUV2BGR_NV21 = 93 ,   COLOR_YUV420sp2RGB = COLOR_YUV2RGB_NV21 ,   COLOR_YUV420sp2BGR = COLOR_YUV2BGR_NV21 ,   COLOR_YUV2RGBA_NV12 = 94 ,   COLOR_YUV2BGRA_NV12 = 95 ,   COLOR_YUV2RGBA_NV21 = 96 ,   COLOR_YUV2BGRA_NV21 = 97 ,   COLOR_YUV420sp2RGBA = COLOR_YUV2RGBA_NV21 ,   COLOR_YUV420sp2BGRA = COLOR_YUV2BGRA_NV21 ,   COLOR_YUV2RGB_YV12 = 98 ,   COLOR_YUV2BGR_YV12 = 99 ,   COLOR_YUV2RGB_IYUV = 100 ,   COLOR_YUV2BGR_IYUV = 101 ,   COLOR_YUV2RGB_I420 = COLOR_YUV2RGB_IYUV ,   COLOR_YUV2BGR_I420 = COLOR_YUV2BGR_IYUV ,   COLOR_YUV420p2RGB = COLOR_YUV2RGB_YV12 ,   COLOR_YUV420p2BGR = COLOR_YUV2BGR_YV12 ,   COLOR_YUV2RGBA_YV12 = 102 ,   COLOR_YUV2BGRA_YV12 = 103 ,   COLOR_YUV2RGBA_IYUV = 104 ,   COLOR_YUV2BGRA_IYUV = 105 ,   COLOR_YUV2RGBA_I420 = COLOR_YUV2RGBA_IYUV ,   COLOR_YUV2BGRA_I420 = COLOR_YUV2BGRA_IYUV ,   COLOR_YUV420p2RGBA = COLOR_YUV2RGBA_YV12 ,   COLOR_YUV420p2BGRA = COLOR_YUV2BGRA_YV12 ,   COLOR_YUV2GRAY_420 = 106 ,   COLOR_YUV2GRAY_NV21 = COLOR_YUV2GRAY_420 ,   COLOR_YUV2GRAY_NV12 = COLOR_YUV2GRAY_420 ,   COLOR_YUV2GRAY_YV12 = COLOR_YUV2GRAY_420 ,   COLOR_YUV2GRAY_IYUV = COLOR_YUV2GRAY_420 ,   COLOR_YUV2GRAY_I420 = COLOR_YUV2GRAY_420 ,   COLOR_YUV420sp2GRAY = COLOR_YUV2GRAY_420 ,   COLOR_YUV420p2GRAY = COLOR_YUV2GRAY_420 ,   COLOR_YUV2RGB_UYVY = 107 ,   COLOR_YUV2BGR_UYVY = 108 ,   COLOR_YUV2RGB_Y422 = COLOR_YUV2RGB_UYVY ,   COLOR_YUV2BGR_Y422 = COLOR_YUV2BGR_UYVY ,   COLOR_YUV2RGB_UYNV = COLOR_YUV2RGB_UYVY ,   COLOR_YUV2BGR_UYNV = COLOR_YUV2BGR_UYVY ,   COLOR_YUV2RGBA_UYVY = 111 ,   COLOR_YUV2BGRA_UYVY = 112 ,   COLOR_YUV2RGBA_Y422 = COLOR_YUV2RGBA_UYVY ,   COLOR_YUV2BGRA_Y422 = COLOR_YUV2BGRA_UYVY ,   COLOR_YUV2RGBA_UYNV = COLOR_YUV2RGBA_UYVY ,   COLOR_YUV2BGRA_UYNV = COLOR_YUV2BGRA_UYVY ,   COLOR_YUV2RGB_YUY2 = 115 ,   COLOR_YUV2BGR_YUY2 = 116 ,   COLOR_YUV2RGB_YVYU = 117 ,   COLOR_YUV2BGR_YVYU = 118 ,   COLOR_YUV2RGB_YUYV = COLOR_YUV2RGB_YUY2 ,   COLOR_YUV2BGR_YUYV = COLOR_YUV2BGR_YUY2 ,   COLOR_YUV2RGB_YUNV = COLOR_YUV2RGB_YUY2 ,   COLOR_YUV2BGR_YUNV = COLOR_YUV2BGR_YUY2 ,   COLOR_YUV2RGBA_YUY2 = 119 ,   COLOR_YUV2BGRA_YUY2 = 120 ,   COLOR_YUV2RGBA_YVYU = 121 ,   COLOR_YUV2BGRA_YVYU = 122 ,   COLOR_YUV2RGBA_YUYV = COLOR_YUV2RGBA_YUY2 ,   COLOR_YUV2BGRA_YUYV = COLOR_YUV2BGRA_YUY2 ,   COLOR_YUV2RGBA_YUNV = COLOR_YUV2RGBA_YUY2 ,   COLOR_YUV2BGRA_YUNV = COLOR_YUV2BGRA_YUY2 ,   COLOR_YUV2GRAY_UYVY = 123 ,   COLOR_YUV2GRAY_YUY2 = 124 ,   COLOR_YUV2GRAY_Y422 = COLOR_YUV2GRAY_UYVY ,   COLOR_YUV2GRAY_UYNV = COLOR_YUV2GRAY_UYVY ,   COLOR_YUV2GRAY_YVYU = COLOR_YUV2GRAY_YUY2 ,   COLOR_YUV2GRAY_YUYV = COLOR_YUV2GRAY_YUY2 ,   COLOR_YUV2GRAY_YUNV = COLOR_YUV2GRAY_YUY2 ,   COLOR_RGBA2mRGBA = 125 ,   COLOR_mRGBA2RGBA = 126 ,   COLOR_RGB2YUV_I420 = 127 ,   COLOR_BGR2YUV_I420 = 128 ,   COLOR_RGB2YUV_IYUV = COLOR_RGB2YUV_I420 ,   COLOR_BGR2YUV_IYUV = COLOR_BGR2YUV_I420 ,   COLOR_RGBA2YUV_I420 = 129 ,   COLOR_BGRA2YUV_I420 = 130 ,   COLOR_RGBA2YUV_IYUV = COLOR_RGBA2YUV_I420 ,   COLOR_BGRA2YUV_IYUV = COLOR_BGRA2YUV_I420 ,   COLOR_RGB2YUV_YV12 = 131 ,   COLOR_BGR2YUV_YV12 = 132 ,   COLOR_RGBA2YUV_YV12 = 133 ,   COLOR_BGRA2YUV_YV12 = 134 ,   COLOR_BayerBG2BGR = 46 ,   COLOR_BayerGB2BGR = 47 ,   COLOR_BayerRG2BGR = 48 ,   COLOR_BayerGR2BGR = 49 ,   COLOR_BayerRGGB2BGR = COLOR_BayerBG2BGR ,   COLOR_BayerGRBG2BGR = COLOR_BayerGB2BGR ,   COLOR_BayerBGGR2BGR = COLOR_BayerRG2BGR ,   COLOR_BayerGBRG2BGR = COLOR_BayerGR2BGR ,   COLOR_BayerRGGB2RGB = COLOR_BayerBGGR2BGR ,   COLOR_BayerGRBG2RGB = COLOR_BayerGBRG2BGR ,   COLOR_BayerBGGR2RGB = COLOR_BayerRGGB2BGR ,   COLOR_BayerGBRG2RGB = COLOR_BayerGRBG2BGR ,   COLOR_BayerBG2RGB = COLOR_BayerRG2BGR ,   COLOR_BayerGB2RGB = COLOR_BayerGR2BGR ,   COLOR_BayerRG2RGB = COLOR_BayerBG2BGR ,   COLOR_BayerGR2RGB = COLOR_BayerGB2BGR ,   COLOR_BayerBG2GRAY = 86 ,   COLOR_BayerGB2GRAY = 87 ,   COLOR_BayerRG2GRAY = 88 ,   COLOR_BayerGR2GRAY = 89 ,   COLOR_BayerRGGB2GRAY = COLOR_BayerBG2GRAY ,   COLOR_BayerGRBG2GRAY = COLOR_BayerGB2GRAY ,   COLOR_BayerBGGR2GRAY = COLOR_BayerRG2GRAY ,   COLOR_BayerGBRG2GRAY = COLOR_BayerGR2GRAY ,   COLOR_BayerBG2BGR_VNG = 62 ,   COLOR_BayerGB2BGR_VNG = 63 ,   COLOR_BayerRG2BGR_VNG = 64 ,   COLOR_BayerGR2BGR_VNG = 65 ,   COLOR_BayerRGGB2BGR_VNG = COLOR_BayerBG2BGR_VNG ,   COLOR_BayerGRBG2BGR_VNG = COLOR_BayerGB2BGR_VNG ,   COLOR_BayerBGGR2BGR_VNG = COLOR_BayerRG2BGR_VNG ,   COLOR_BayerGBRG2BGR_VNG = COLOR_BayerGR2BGR_VNG ,   COLOR_BayerRGGB2RGB_VNG = COLOR_BayerBGGR2BGR_VNG ,   COLOR_BayerGRBG2RGB_VNG = COLOR_BayerGBRG2BGR_VNG ,   COLOR_BayerBGGR2RGB_VNG = COLOR_BayerRGGB2BGR_VNG ,   COLOR_BayerGBRG2RGB_VNG = COLOR_BayerGRBG2BGR_VNG ,   COLOR_BayerBG2RGB_VNG = COLOR_BayerRG2BGR_VNG ,   COLOR_BayerGB2RGB_VNG = COLOR_BayerGR2BGR_VNG ,   COLOR_BayerRG2RGB_VNG = COLOR_BayerBG2BGR_VNG ,   COLOR_BayerGR2RGB_VNG = COLOR_BayerGB2BGR_VNG ,   COLOR_BayerBG2BGR_EA = 135 ,   COLOR_BayerGB2BGR_EA = 136 ,   COLOR_BayerRG2BGR_EA = 137 ,   COLOR_BayerGR2BGR_EA = 138 ,   COLOR_BayerRGGB2BGR_EA = COLOR_BayerBG2BGR_EA ,   COLOR_BayerGRBG2BGR_EA = COLOR_BayerGB2BGR_EA ,   COLOR_BayerBGGR2BGR_EA = COLOR_BayerRG2BGR_EA ,   COLOR_BayerGBRG2BGR_EA = COLOR_BayerGR2BGR_EA ,   COLOR_BayerRGGB2RGB_EA = COLOR_BayerBGGR2BGR_EA ,   COLOR_BayerGRBG2RGB_EA = COLOR_BayerGBRG2BGR_EA ,   COLOR_BayerBGGR2RGB_EA = COLOR_BayerRGGB2BGR_EA ,   COLOR_BayerGBRG2RGB_EA = COLOR_BayerGRBG2BGR_EA ,   COLOR_BayerBG2RGB_EA = COLOR_BayerRG2BGR_EA ,   COLOR_BayerGB2RGB_EA = COLOR_BayerGR2BGR_EA ,   COLOR_BayerRG2RGB_EA = COLOR_BayerBG2BGR_EA ,   COLOR_BayerGR2RGB_EA = COLOR_BayerGB2BGR_EA ,   COLOR_BayerBG2BGRA = 139 ,   COLOR_BayerGB2BGRA = 140 ,   COLOR_BayerRG2BGRA = 141 ,   COLOR_BayerGR2BGRA = 142 ,   COLOR_BayerRGGB2BGRA = COLOR_BayerBG2BGRA ,   COLOR_BayerGRBG2BGRA = COLOR_BayerGB2BGRA ,   COLOR_BayerBGGR2BGRA = COLOR_BayerRG2BGRA ,   COLOR_BayerGBRG2BGRA = COLOR_BayerGR2BGRA ,   COLOR_BayerRGGB2RGBA = COLOR_BayerBGGR2BGRA ,   COLOR_BayerGRBG2RGBA = COLOR_BayerGBRG2BGRA ,   COLOR_BayerBGGR2RGBA = COLOR_BayerRGGB2BGRA ,   COLOR_BayerGBRG2RGBA = COLOR_BayerGRBG2BGRA ,   COLOR_BayerBG2RGBA = COLOR_BayerRG2BGRA ,   COLOR_BayerGB2RGBA = COLOR_BayerGR2BGRA ,   COLOR_BayerRG2RGBA = COLOR_BayerBG2BGRA ,   COLOR_BayerGR2RGBA = COLOR_BayerGB2BGRA ,   COLOR_RGB2YUV_UYVY = 143 ,   COLOR_BGR2YUV_UYVY = 144 ,   COLOR_RGB2YUV_Y422 = COLOR_RGB2YUV_UYVY ,   COLOR_BGR2YUV_Y422 = COLOR_BGR2YUV_UYVY ,   COLOR_RGB2YUV_UYNV = COLOR_RGB2YUV_UYVY ,   COLOR_BGR2YUV_UYNV = COLOR_BGR2YUV_UYVY ,   COLOR_RGBA2YUV_UYVY = 145 ,   COLOR_BGRA2YUV_UYVY = 146 ,   COLOR_RGBA2YUV_Y422 = COLOR_RGBA2YUV_UYVY ,   COLOR_BGRA2YUV_Y422 = COLOR_BGRA2YUV_UYVY ,   COLOR_RGBA2YUV_UYNV = COLOR_RGBA2YUV_UYVY ,   COLOR_BGRA2YUV_UYNV = COLOR_BGRA2YUV_UYVY ,   COLOR_RGB2YUV_YUY2 = 147 ,   COLOR_BGR2YUV_YUY2 = 148 ,   COLOR_RGB2YUV_YVYU = 149 ,   COLOR_BGR2YUV_YVYU = 150 ,   COLOR_RGB2YUV_YUYV = COLOR_RGB2YUV_YUY2 ,   COLOR_BGR2YUV_YUYV = COLOR_BGR2YUV_YUY2 ,   COLOR_RGB2YUV_YUNV = COLOR_RGB2YUV_YUY2 ,   COLOR_BGR2YUV_YUNV = COLOR_BGR2YUV_YUY2 ,   COLOR_RGBA2YUV_YUY2 = 151 ,   COLOR_BGRA2YUV_YUY2 = 152 ,   COLOR_RGBA2YUV_YVYU = 153 ,   COLOR_BGRA2YUV_YVYU = 154 ,   COLOR_RGBA2YUV_YUYV = COLOR_RGBA2YUV_YUY2 ,   COLOR_BGRA2YUV_YUYV = COLOR_BGRA2YUV_YUY2 ,   COLOR_RGBA2YUV_YUNV = COLOR_RGBA2YUV_YUY2 ,   COLOR_BGRA2YUV_YUNV = COLOR_BGRA2YUV_YUY2 ,   COLOR_COLORCVT_MAX = 155 }
enum	ColormapTypes {   COLORMAP_AUTUMN = 0 ,   COLORMAP_BONE = 1 ,   COLORMAP_JET = 2 ,   COLORMAP_WINTER = 3 ,   COLORMAP_RAINBOW = 4 ,   COLORMAP_OCEAN = 5 ,   COLORMAP_SUMMER = 6 ,   COLORMAP_SPRING = 7 ,   COLORMAP_COOL = 8 ,   COLORMAP_HSV = 9 ,   COLORMAP_PINK = 10 ,   COLORMAP_HOT = 11 ,   COLORMAP_PARULA = 12 ,   COLORMAP_MAGMA = 13 ,   COLORMAP_INFERNO = 14 ,   COLORMAP_PLASMA = 15 ,   COLORMAP_VIRIDIS = 16 ,   COLORMAP_CIVIDIS = 17 ,   COLORMAP_TWILIGHT = 18 ,   COLORMAP_TWILIGHT_SHIFTED = 19 ,   COLORMAP_TURBO = 20 ,   COLORMAP_DEEPGREEN = 21 }
	GNU Octave/MATLAB equivalent colormaps. More...
enum	ConnectedComponentsAlgorithmsTypes {   CCL_DEFAULT = -1 ,   CCL_WU = 0 ,   CCL_GRANA = 1 ,   CCL_BOLELLI = 2 ,   CCL_SAUF = 3 ,   CCL_BBDT = 4 ,   CCL_SPAGHETTI = 5 }
	connected components algorithm More...
enum	ConnectedComponentsTypes {   CC_STAT_LEFT = 0 ,   CC_STAT_TOP = 1 ,   CC_STAT_WIDTH = 2 ,   CC_STAT_HEIGHT = 3 ,   CC_STAT_AREA = 4 }
	connected components statistics More...
enum	ContourApproximationModes {   CHAIN_APPROX_NONE = 1 ,   CHAIN_APPROX_SIMPLE = 2 ,   CHAIN_APPROX_TC89_L1 = 3 ,   CHAIN_APPROX_TC89_KCOS = 4 }
	the contour approximation algorithm More...
enum	CovarFlags {   COVAR_SCRAMBLED = 0 ,   COVAR_NORMAL = 1 ,   COVAR_USE_AVG = 2 ,   COVAR_SCALE = 4 ,   COVAR_ROWS = 8 ,   COVAR_COLS = 16 }
	Covariation flags. More...
enum	DecompTypes {   DECOMP_LU = 0 ,   DECOMP_SVD = 1 ,   DECOMP_EIG = 2 ,   DECOMP_CHOLESKY = 3 ,   DECOMP_QR = 4 ,   DECOMP_NORMAL = 16 }
	matrix decomposition types More...
enum	DftFlags {   DFT_INVERSE = 1 ,   DFT_SCALE = 2 ,   DFT_ROWS = 4 ,   DFT_COMPLEX_OUTPUT = 16 ,   DFT_REAL_OUTPUT = 32 ,   DFT_COMPLEX_INPUT = 64 ,   DCT_INVERSE = DFT_INVERSE ,   DCT_ROWS = DFT_ROWS }
enum	DistanceTransformLabelTypes {   DIST_LABEL_CCOMP = 0 ,   DIST_LABEL_PIXEL = 1 }
	distanceTransform algorithm flags More...
enum	DistanceTransformMasks {   DIST_MASK_3 = 3 ,   DIST_MASK_5 = 5 ,   DIST_MASK_PRECISE = 0 }
	Mask size for distance transform. More...
enum	DistanceTypes {   DIST_USER = -1 ,   DIST_L1 = 1 ,   DIST_L2 = 2 ,   DIST_C = 3 ,   DIST_L12 = 4 ,   DIST_FAIR = 5 ,   DIST_WELSCH = 6 ,   DIST_HUBER = 7 }
enum struct	DrawMatchesFlags {   DrawMatchesFlags::DEFAULT = 0 ,   DrawMatchesFlags::DRAW_OVER_OUTIMG = 1 ,   DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS = 2 ,   DrawMatchesFlags::DRAW_RICH_KEYPOINTS = 4 }
enum	FloodFillFlags {   FLOODFILL_FIXED_RANGE = 1 << 16 ,   FLOODFILL_MASK_ONLY = 1 << 17 }
	floodfill algorithm flags More...
enum	GemmFlags {   GEMM_1_T = 1 ,   GEMM_2_T = 2 ,   GEMM_3_T = 4 }
	generalized matrix multiplication flags More...
enum	GrabCutClasses {   GC_BGD = 0 ,   GC_FGD = 1 ,   GC_PR_BGD = 2 ,   GC_PR_FGD = 3 }
	class of the pixel in GrabCut algorithm More...
enum	GrabCutModes {   GC_INIT_WITH_RECT = 0 ,   GC_INIT_WITH_MASK = 1 ,   GC_EVAL = 2 ,   GC_EVAL_FREEZE_MODEL = 3 }
	GrabCut algorithm flags. More...
enum class	GShape : int {   GMAT ,   GSCALAR ,   GARRAY ,   GOPAQUE ,   GFRAME }
enum	HandEyeCalibrationMethod {   CALIB_HAND_EYE_TSAI = 0 ,   CALIB_HAND_EYE_PARK = 1 ,   CALIB_HAND_EYE_HORAUD = 2 ,   CALIB_HAND_EYE_ANDREFF = 3 ,   CALIB_HAND_EYE_DANIILIDIS = 4 }
enum	HersheyFonts {   FONT_HERSHEY_SIMPLEX = 0 ,   FONT_HERSHEY_PLAIN = 1 ,   FONT_HERSHEY_DUPLEX = 2 ,   FONT_HERSHEY_COMPLEX = 3 ,   FONT_HERSHEY_TRIPLEX = 4 ,   FONT_HERSHEY_COMPLEX_SMALL = 5 ,   FONT_HERSHEY_SCRIPT_SIMPLEX = 6 ,   FONT_HERSHEY_SCRIPT_COMPLEX = 7 ,   FONT_ITALIC = 16 }
enum	HistCompMethods {   HISTCMP_CORREL = 0 ,   HISTCMP_CHISQR = 1 ,   HISTCMP_INTERSECT = 2 ,   HISTCMP_BHATTACHARYYA = 3 ,   HISTCMP_HELLINGER = HISTCMP_BHATTACHARYYA ,   HISTCMP_CHISQR_ALT = 4 ,   HISTCMP_KL_DIV = 5 }
enum	HoughModes {   HOUGH_STANDARD = 0 ,   HOUGH_PROBABILISTIC = 1 ,   HOUGH_MULTI_SCALE = 2 ,   HOUGH_GRADIENT = 3 ,   HOUGH_GRADIENT_ALT = 4 }
	Variants of a Hough transform. More...
enum	ImreadModes {   IMREAD_UNCHANGED = -1 ,   IMREAD_GRAYSCALE = 0 ,   IMREAD_COLOR = 1 ,   IMREAD_ANYDEPTH = 2 ,   IMREAD_ANYCOLOR = 4 ,   IMREAD_LOAD_GDAL = 8 ,   IMREAD_REDUCED_GRAYSCALE_2 = 16 ,   IMREAD_REDUCED_COLOR_2 = 17 ,   IMREAD_REDUCED_GRAYSCALE_4 = 32 ,   IMREAD_REDUCED_COLOR_4 = 33 ,   IMREAD_REDUCED_GRAYSCALE_8 = 64 ,   IMREAD_REDUCED_COLOR_8 = 65 ,   IMREAD_IGNORE_ORIENTATION = 128 }
	Imread flags. More...
enum	ImwriteEXRCompressionFlags {   IMWRITE_EXR_COMPRESSION_NO = 0 ,   IMWRITE_EXR_COMPRESSION_RLE = 1 ,   IMWRITE_EXR_COMPRESSION_ZIPS = 2 ,   IMWRITE_EXR_COMPRESSION_ZIP = 3 ,   IMWRITE_EXR_COMPRESSION_PIZ = 4 ,   IMWRITE_EXR_COMPRESSION_PXR24 = 5 ,   IMWRITE_EXR_COMPRESSION_B44 = 6 ,   IMWRITE_EXR_COMPRESSION_B44A = 7 ,   IMWRITE_EXR_COMPRESSION_DWAA = 8 ,   IMWRITE_EXR_COMPRESSION_DWAB = 9 }
enum	ImwriteEXRTypeFlags {   IMWRITE_EXR_TYPE_HALF = 1 ,   IMWRITE_EXR_TYPE_FLOAT = 2 }
enum	ImwriteFlags {   IMWRITE_JPEG_QUALITY = 1 ,   IMWRITE_JPEG_PROGRESSIVE = 2 ,   IMWRITE_JPEG_OPTIMIZE = 3 ,   IMWRITE_JPEG_RST_INTERVAL = 4 ,   IMWRITE_JPEG_LUMA_QUALITY = 5 ,   IMWRITE_JPEG_CHROMA_QUALITY = 6 ,   IMWRITE_JPEG_SAMPLING_FACTOR = 7 ,   IMWRITE_PNG_COMPRESSION = 16 ,   IMWRITE_PNG_STRATEGY = 17 ,   IMWRITE_PNG_BILEVEL = 18 ,   IMWRITE_PXM_BINARY = 32 ,   IMWRITE_EXR_TYPE = (3 << 4) + 0 ,   IMWRITE_EXR_COMPRESSION = (3 << 4) + 1 ,   IMWRITE_EXR_DWA_COMPRESSION_LEVEL = (3 << 4) + 2 ,   IMWRITE_WEBP_QUALITY = 64 ,   IMWRITE_HDR_COMPRESSION = (5 << 4) + 0 ,   IMWRITE_PAM_TUPLETYPE = 128 ,   IMWRITE_TIFF_RESUNIT = 256 ,   IMWRITE_TIFF_XDPI = 257 ,   IMWRITE_TIFF_YDPI = 258 ,   IMWRITE_TIFF_COMPRESSION = 259 ,   IMWRITE_TIFF_ROWSPERSTRIP = 278 ,   IMWRITE_TIFF_PREDICTOR = 317 ,   IMWRITE_JPEG2000_COMPRESSION_X1000 = 272 ,   IMWRITE_AVIF_QUALITY = 512 ,   IMWRITE_AVIF_DEPTH = 513 ,   IMWRITE_AVIF_SPEED = 514 }
	Imwrite flags. More...
enum	ImwriteHDRCompressionFlags {   IMWRITE_HDR_COMPRESSION_NONE = 0 ,   IMWRITE_HDR_COMPRESSION_RLE = 1 }
	Imwrite HDR specific values for IMWRITE_HDR_COMPRESSION parameter key. More...
enum	ImwriteJPEGSamplingFactorParams {   IMWRITE_JPEG_SAMPLING_FACTOR_411 = 0x411111 ,   IMWRITE_JPEG_SAMPLING_FACTOR_420 = 0x221111 ,   IMWRITE_JPEG_SAMPLING_FACTOR_422 = 0x211111 ,   IMWRITE_JPEG_SAMPLING_FACTOR_440 = 0x121111 ,   IMWRITE_JPEG_SAMPLING_FACTOR_444 = 0x111111 }
enum	ImwritePAMFlags {   IMWRITE_PAM_FORMAT_NULL = 0 ,   IMWRITE_PAM_FORMAT_BLACKANDWHITE = 1 ,   IMWRITE_PAM_FORMAT_GRAYSCALE = 2 ,   IMWRITE_PAM_FORMAT_GRAYSCALE_ALPHA = 3 ,   IMWRITE_PAM_FORMAT_RGB = 4 ,   IMWRITE_PAM_FORMAT_RGB_ALPHA = 5 }
	Imwrite PAM specific tupletype flags used to define the 'TUPLETYPE' field of a PAM file. More...
enum	ImwritePNGFlags {   IMWRITE_PNG_STRATEGY_DEFAULT = 0 ,   IMWRITE_PNG_STRATEGY_FILTERED = 1 ,   IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY = 2 ,   IMWRITE_PNG_STRATEGY_RLE = 3 ,   IMWRITE_PNG_STRATEGY_FIXED = 4 }
	Imwrite PNG specific flags used to tune the compression algorithm. More...
enum	ImwriteTiffCompressionFlags {   IMWRITE_TIFF_COMPRESSION_NONE = 1 ,   IMWRITE_TIFF_COMPRESSION_CCITTRLE = 2 ,   IMWRITE_TIFF_COMPRESSION_CCITTFAX3 = 3 ,   IMWRITE_TIFF_COMPRESSION_CCITT_T4 = 3 ,   IMWRITE_TIFF_COMPRESSION_CCITTFAX4 = 4 ,   IMWRITE_TIFF_COMPRESSION_CCITT_T6 = 4 ,   IMWRITE_TIFF_COMPRESSION_LZW = 5 ,   IMWRITE_TIFF_COMPRESSION_OJPEG = 6 ,   IMWRITE_TIFF_COMPRESSION_JPEG = 7 ,   IMWRITE_TIFF_COMPRESSION_T85 = 9 ,   IMWRITE_TIFF_COMPRESSION_T43 = 10 ,   IMWRITE_TIFF_COMPRESSION_NEXT = 32766 ,   IMWRITE_TIFF_COMPRESSION_CCITTRLEW = 32771 ,   IMWRITE_TIFF_COMPRESSION_PACKBITS = 32773 ,   IMWRITE_TIFF_COMPRESSION_THUNDERSCAN = 32809 ,   IMWRITE_TIFF_COMPRESSION_IT8CTPAD = 32895 ,   IMWRITE_TIFF_COMPRESSION_IT8LW = 32896 ,   IMWRITE_TIFF_COMPRESSION_IT8MP = 32897 ,   IMWRITE_TIFF_COMPRESSION_IT8BL = 32898 ,   IMWRITE_TIFF_COMPRESSION_PIXARFILM = 32908 ,   IMWRITE_TIFF_COMPRESSION_PIXARLOG = 32909 ,   IMWRITE_TIFF_COMPRESSION_DEFLATE = 32946 ,   IMWRITE_TIFF_COMPRESSION_ADOBE_DEFLATE = 8 ,   IMWRITE_TIFF_COMPRESSION_DCS = 32947 ,   IMWRITE_TIFF_COMPRESSION_JBIG = 34661 ,   IMWRITE_TIFF_COMPRESSION_SGILOG = 34676 ,   IMWRITE_TIFF_COMPRESSION_SGILOG24 = 34677 ,   IMWRITE_TIFF_COMPRESSION_JP2000 = 34712 ,   IMWRITE_TIFF_COMPRESSION_LERC = 34887 ,   IMWRITE_TIFF_COMPRESSION_LZMA = 34925 ,   IMWRITE_TIFF_COMPRESSION_ZSTD = 50000 ,   IMWRITE_TIFF_COMPRESSION_WEBP = 50001 ,   IMWRITE_TIFF_COMPRESSION_JXL = 50002 }
enum	ImwriteTiffPredictorFlags {   IMWRITE_TIFF_PREDICTOR_NONE = 1 ,   IMWRITE_TIFF_PREDICTOR_HORIZONTAL = 2 ,   IMWRITE_TIFF_PREDICTOR_FLOATINGPOINT = 3 }
enum	InterpolationFlags {   INTER_NEAREST = 0 ,   INTER_LINEAR = 1 ,   INTER_CUBIC = 2 ,   INTER_AREA = 3 ,   INTER_LANCZOS4 = 4 ,   INTER_LINEAR_EXACT = 5 ,   INTER_NEAREST_EXACT = 6 ,   INTER_MAX = 7 ,   WARP_FILL_OUTLIERS = 8 ,   WARP_INVERSE_MAP = 16 ,   WARP_RELATIVE_MAP = 32 }
	interpolation algorithm More...
enum	InterpolationMasks {   INTER_BITS = 5 ,   INTER_BITS2 = INTER_BITS * 2 ,   INTER_TAB_SIZE = 1 << INTER_BITS ,   INTER_TAB_SIZE2 = INTER_TAB_SIZE * INTER_TAB_SIZE }
enum	KmeansFlags {   KMEANS_RANDOM_CENTERS = 0 ,   KMEANS_PP_CENTERS = 2 ,   KMEANS_USE_INITIAL_LABELS = 1 }
	k-Means flags More...
enum	LineSegmentDetectorModes {   LSD_REFINE_NONE = 0 ,   LSD_REFINE_STD = 1 ,   LSD_REFINE_ADV = 2 }
	Variants of Line Segment Detector. More...
enum	LineTypes {   FILLED = -1 ,   LINE_4 = 4 ,   LINE_8 = 8 ,   LINE_AA = 16 }
enum	LocalOptimMethod {   LOCAL_OPTIM_NULL =0 ,   LOCAL_OPTIM_INNER_LO =1 ,   LOCAL_OPTIM_INNER_AND_ITER_LO =2 ,   LOCAL_OPTIM_GC =3 ,   LOCAL_OPTIM_SIGMA =4 }
enum	MarkerTypes {   MARKER_CROSS = 0 ,   MARKER_TILTED_CROSS = 1 ,   MARKER_STAR = 2 ,   MARKER_DIAMOND = 3 ,   MARKER_SQUARE = 4 ,   MARKER_TRIANGLE_UP = 5 ,   MARKER_TRIANGLE_DOWN = 6 }
enum class	MediaFormat : int {   BGR = 0 ,   NV12 ,   GRAY }
enum	MorphShapes {   MORPH_RECT = 0 ,   MORPH_CROSS = 1 ,   MORPH_ELLIPSE = 2 }
	shape of the structuring element More...
enum	MorphTypes {   MORPH_ERODE = 0 ,   MORPH_DILATE = 1 ,   MORPH_OPEN = 2 ,   MORPH_CLOSE = 3 ,   MORPH_GRADIENT = 4 ,   MORPH_TOPHAT = 5 ,   MORPH_BLACKHAT = 6 ,   MORPH_HITMISS = 7 }
	type of morphological operation More...
enum	MouseEventFlags {   EVENT_FLAG_LBUTTON = 1 ,   EVENT_FLAG_RBUTTON = 2 ,   EVENT_FLAG_MBUTTON = 4 ,   EVENT_FLAG_CTRLKEY = 8 ,   EVENT_FLAG_SHIFTKEY = 16 ,   EVENT_FLAG_ALTKEY = 32 }
	Mouse Event Flags see cv::MouseCallback. More...
enum	MouseEventTypes {   EVENT_MOUSEMOVE = 0 ,   EVENT_LBUTTONDOWN = 1 ,   EVENT_RBUTTONDOWN = 2 ,   EVENT_MBUTTONDOWN = 3 ,   EVENT_LBUTTONUP = 4 ,   EVENT_RBUTTONUP = 5 ,   EVENT_MBUTTONUP = 6 ,   EVENT_LBUTTONDBLCLK = 7 ,   EVENT_RBUTTONDBLCLK = 8 ,   EVENT_MBUTTONDBLCLK = 9 ,   EVENT_MOUSEWHEEL = 10 ,   EVENT_MOUSEHWHEEL = 11 }
	Mouse Events see cv::MouseCallback. More...
enum	NeighborSearchMethod {   NEIGH_FLANN_KNN =0 ,   NEIGH_GRID =1 ,   NEIGH_FLANN_RADIUS =2 }
enum	NormTypes {   NORM_INF = 1 ,   NORM_L1 = 2 ,   NORM_L2 = 4 ,   NORM_L2SQR = 5 ,   NORM_HAMMING = 6 ,   NORM_HAMMING2 = 7 ,   NORM_TYPE_MASK = 7 ,   NORM_RELATIVE = 8 ,   NORM_MINMAX = 32 }
enum struct	Param {   Param::INT =0 ,   Param::BOOLEAN =1 ,   Param::REAL =2 ,   Param::STRING =3 ,   Param::MAT =4 ,   Param::MAT_VECTOR =5 ,   Param::ALGORITHM =6 ,   Param::FLOAT =7 ,   Param::UNSIGNED_INT =8 ,   Param::UINT64 =9 ,   Param::UCHAR =11 ,   Param::SCALAR =12 }
enum	PolishingMethod {   NONE_POLISHER =0 ,   LSQ_POLISHER =1 ,   MAGSAC =2 ,   COV_POLISHER =3 }
enum	QtButtonTypes {   QT_PUSH_BUTTON = 0 ,   QT_CHECKBOX = 1 ,   QT_RADIOBOX = 2 ,   QT_NEW_BUTTONBAR = 1024 }
	Qt "button" type. More...
enum	QtFontStyles {   QT_STYLE_NORMAL = 0 ,   QT_STYLE_ITALIC = 1 ,   QT_STYLE_OBLIQUE = 2 }
	Qt font style. More...
enum	QtFontWeights {   QT_FONT_LIGHT = 25 ,   QT_FONT_NORMAL = 50 ,   QT_FONT_DEMIBOLD = 63 ,   QT_FONT_BOLD = 75 ,   QT_FONT_BLACK = 87 }
	Qt font weight. More...
enum	QuatAssumeType {   QUAT_ASSUME_NOT_UNIT ,   QUAT_ASSUME_UNIT }
	Unit quaternion flag. More...
enum	RectanglesIntersectTypes {   INTERSECT_NONE = 0 ,   INTERSECT_PARTIAL = 1 ,   INTERSECT_FULL = 2 }
	types of intersection between rectangles More...
enum	ReduceTypes {   REDUCE_SUM = 0 ,   REDUCE_AVG = 1 ,   REDUCE_MAX = 2 ,   REDUCE_MIN = 3 ,   REDUCE_SUM2 = 4 }
enum	RetrievalModes {   RETR_EXTERNAL = 0 ,   RETR_LIST = 1 ,   RETR_CCOMP = 2 ,   RETR_TREE = 3 ,   RETR_FLOODFILL = 4 }
	mode of the contour retrieval algorithm More...
enum	RobotWorldHandEyeCalibrationMethod {   CALIB_ROBOT_WORLD_HAND_EYE_SHAH = 0 ,   CALIB_ROBOT_WORLD_HAND_EYE_LI = 1 }
enum	RotateFlags {   ROTATE_90_CLOCKWISE = 0 ,   ROTATE_180 = 1 ,   ROTATE_90_COUNTERCLOCKWISE = 2 }
enum	SamplingMethod {   SAMPLING_UNIFORM =0 ,   SAMPLING_PROGRESSIVE_NAPSAC =1 ,   SAMPLING_NAPSAC =2 ,   SAMPLING_PROSAC =3 }
enum	ScoreMethod {   SCORE_METHOD_RANSAC =0 ,   SCORE_METHOD_MSAC =1 ,   SCORE_METHOD_MAGSAC =2 ,   SCORE_METHOD_LMEDS =3 }
enum	ShapeMatchModes {   CONTOURS_MATCH_I1 =1 ,   CONTOURS_MATCH_I2 =2 ,   CONTOURS_MATCH_I3 =3 }
	Shape matching methods. More...
enum	SolveLPResult {   SOLVELP_LOST = -3 ,   SOLVELP_UNBOUNDED = -2 ,   SOLVELP_UNFEASIBLE = -1 ,   SOLVELP_SINGLE = 0 ,   SOLVELP_MULTI = 1 }
	return codes for cv::solveLP() function More...
enum	SolvePnPMethod {   SOLVEPNP_ITERATIVE = 0 ,   SOLVEPNP_EPNP = 1 ,   SOLVEPNP_P3P = 2 ,   SOLVEPNP_DLS = 3 ,   SOLVEPNP_UPNP = 4 ,   SOLVEPNP_AP3P = 5 ,   SOLVEPNP_IPPE = 6 ,   SOLVEPNP_IPPE_SQUARE = 7 ,   SOLVEPNP_SQPNP = 8 }
enum	SortFlags {   SORT_EVERY_ROW = 0 ,   SORT_EVERY_COLUMN = 1 ,   SORT_ASCENDING = 0 ,   SORT_DESCENDING = 16 }
enum	SpecialFilter { FILTER_SCHARR = -1 }
enum	StreamType {   db ,   dc ,   pc ,   wb }
enum	TemplateMatchModes {   TM_SQDIFF = 0 ,   TM_SQDIFF_NORMED = 1 ,   TM_CCORR = 2 ,   TM_CCORR_NORMED = 3 ,   TM_CCOEFF = 4 ,   TM_CCOEFF_NORMED = 5 }
	type of the template matching operation More...
enum	ThresholdTypes {   THRESH_BINARY = 0 ,   THRESH_BINARY_INV = 1 ,   THRESH_TRUNC = 2 ,   THRESH_TOZERO = 3 ,   THRESH_TOZERO_INV = 4 ,   THRESH_MASK = 7 ,   THRESH_OTSU = 8 ,   THRESH_TRIANGLE = 16 }
enum	UMatUsageFlags {   USAGE_DEFAULT = 0 ,   USAGE_ALLOCATE_HOST_MEMORY = 1 << 0 ,   USAGE_ALLOCATE_DEVICE_MEMORY = 1 << 1 ,   USAGE_ALLOCATE_SHARED_MEMORY = 1 << 2 ,   __UMAT_USAGE_FLAGS_32BIT = 0x7fffffff }
	Usage flags for allocator. More...
enum	UndistortTypes {   PROJ_SPHERICAL_ORTHO = 0 ,   PROJ_SPHERICAL_EQRECT = 1 }
	cv::undistort mode More...
enum	VideoCaptureAPIs {   CAP_ANY = 0 ,   CAP_VFW = 200 ,   CAP_V4L = 200 ,   CAP_V4L2 = CAP_V4L ,   CAP_FIREWIRE = 300 ,   CAP_FIREWARE = CAP_FIREWIRE ,   CAP_IEEE1394 = CAP_FIREWIRE ,   CAP_DC1394 = CAP_FIREWIRE ,   CAP_CMU1394 = CAP_FIREWIRE ,   CAP_QT = 500 ,   CAP_UNICAP = 600 ,   CAP_DSHOW = 700 ,   CAP_PVAPI = 800 ,   CAP_OPENNI = 900 ,   CAP_OPENNI_ASUS = 910 ,   CAP_ANDROID = 1000 ,   CAP_XIAPI = 1100 ,   CAP_AVFOUNDATION = 1200 ,   CAP_GIGANETIX = 1300 ,   CAP_MSMF = 1400 ,   CAP_WINRT = 1410 ,   CAP_INTELPERC = 1500 ,   CAP_REALSENSE = 1500 ,   CAP_OPENNI2 = 1600 ,   CAP_OPENNI2_ASUS = 1610 ,   CAP_OPENNI2_ASTRA = 1620 ,   CAP_GPHOTO2 = 1700 ,   CAP_GSTREAMER = 1800 ,   CAP_FFMPEG = 1900 ,   CAP_IMAGES = 2000 ,   CAP_ARAVIS = 2100 ,   CAP_OPENCV_MJPEG = 2200 ,   CAP_INTEL_MFX = 2300 ,   CAP_XINE = 2400 ,   CAP_UEYE = 2500 ,   CAP_OBSENSOR = 2600 }
	cv::VideoCapture API backends identifier. More...
enum	VideoCaptureProperties {   CAP_PROP_POS_MSEC =0 ,   CAP_PROP_POS_FRAMES =1 ,   CAP_PROP_POS_AVI_RATIO =2 ,   CAP_PROP_FRAME_WIDTH =3 ,   CAP_PROP_FRAME_HEIGHT =4 ,   CAP_PROP_FPS =5 ,   CAP_PROP_FOURCC =6 ,   CAP_PROP_FRAME_COUNT =7 ,   CAP_PROP_FORMAT =8 ,   CAP_PROP_MODE =9 ,   CAP_PROP_BRIGHTNESS =10 ,   CAP_PROP_CONTRAST =11 ,   CAP_PROP_SATURATION =12 ,   CAP_PROP_HUE =13 ,   CAP_PROP_GAIN =14 ,   CAP_PROP_EXPOSURE =15 ,   CAP_PROP_CONVERT_RGB =16 ,   CAP_PROP_WHITE_BALANCE_BLUE_U =17 ,   CAP_PROP_RECTIFICATION =18 ,   CAP_PROP_MONOCHROME =19 ,   CAP_PROP_SHARPNESS =20 ,   CAP_PROP_AUTO_EXPOSURE =21 ,   CAP_PROP_GAMMA =22 ,   CAP_PROP_TEMPERATURE =23 ,   CAP_PROP_TRIGGER =24 ,   CAP_PROP_TRIGGER_DELAY =25 ,   CAP_PROP_WHITE_BALANCE_RED_V =26 ,   CAP_PROP_ZOOM =27 ,   CAP_PROP_FOCUS =28 ,   CAP_PROP_GUID =29 ,   CAP_PROP_ISO_SPEED =30 ,   CAP_PROP_BACKLIGHT =32 ,   CAP_PROP_PAN =33 ,   CAP_PROP_TILT =34 ,   CAP_PROP_ROLL =35 ,   CAP_PROP_IRIS =36 ,   CAP_PROP_SETTINGS =37 ,   CAP_PROP_BUFFERSIZE =38 ,   CAP_PROP_AUTOFOCUS =39 ,   CAP_PROP_SAR_NUM =40 ,   CAP_PROP_SAR_DEN =41 ,   CAP_PROP_BACKEND =42 ,   CAP_PROP_CHANNEL =43 ,   CAP_PROP_AUTO_WB =44 ,   CAP_PROP_WB_TEMPERATURE =45 ,   CAP_PROP_CODEC_PIXEL_FORMAT =46 ,   CAP_PROP_BITRATE =47 ,   CAP_PROP_ORIENTATION_META =48 ,   CAP_PROP_ORIENTATION_AUTO =49 ,   CAP_PROP_HW_ACCELERATION =50 ,   CAP_PROP_HW_DEVICE =51 ,   CAP_PROP_HW_ACCELERATION_USE_OPENCL =52 ,   CAP_PROP_OPEN_TIMEOUT_MSEC =53 ,   CAP_PROP_READ_TIMEOUT_MSEC =54 ,   CAP_PROP_STREAM_OPEN_TIME_USEC =55 ,   CAP_PROP_VIDEO_TOTAL_CHANNELS = 56 ,   CAP_PROP_VIDEO_STREAM = 57 ,   CAP_PROP_AUDIO_STREAM = 58 ,   CAP_PROP_AUDIO_POS = 59 ,   CAP_PROP_AUDIO_SHIFT_NSEC = 60 ,   CAP_PROP_AUDIO_DATA_DEPTH = 61 ,   CAP_PROP_AUDIO_SAMPLES_PER_SECOND = 62 ,   CAP_PROP_AUDIO_BASE_INDEX = 63 ,   CAP_PROP_AUDIO_TOTAL_CHANNELS = 64 ,   CAP_PROP_AUDIO_TOTAL_STREAMS = 65 ,   CAP_PROP_AUDIO_SYNCHRONIZE = 66 ,   CAP_PROP_LRF_HAS_KEY_FRAME = 67 ,   CAP_PROP_CODEC_EXTRADATA_INDEX = 68 ,   CAP_PROP_FRAME_TYPE = 69 ,   CAP_PROP_N_THREADS = 70 }
	cv::VideoCapture generic properties identifier. More...
enum	VideoWriterProperties {   VIDEOWRITER_PROP_QUALITY = 1 ,   VIDEOWRITER_PROP_FRAMEBYTES = 2 ,   VIDEOWRITER_PROP_NSTRIPES = 3 ,   VIDEOWRITER_PROP_IS_COLOR = 4 ,   VIDEOWRITER_PROP_DEPTH = 5 ,   VIDEOWRITER_PROP_HW_ACCELERATION = 6 ,   VIDEOWRITER_PROP_HW_DEVICE = 7 ,   VIDEOWRITER_PROP_HW_ACCELERATION_USE_OPENCL = 8 ,   VIDEOWRITER_PROP_RAW_VIDEO = 9 ,   VIDEOWRITER_PROP_KEY_INTERVAL = 10 ,   VIDEOWRITER_PROP_KEY_FLAG = 11 }
	cv::VideoWriter generic properties identifier. More...
enum	WarpPolarMode {   WARP_POLAR_LINEAR = 0 ,   WARP_POLAR_LOG = 256 }
	Specify the polar mapping mode. More...
enum	WindowFlags {   WINDOW_NORMAL = 0x00000000 ,   WINDOW_AUTOSIZE = 0x00000001 ,   WINDOW_OPENGL = 0x00001000 ,   WINDOW_FULLSCREEN = 1 ,   WINDOW_FREERATIO = 0x00000100 ,   WINDOW_KEEPRATIO = 0x00000000 ,   WINDOW_GUI_EXPANDED =0x00000000 ,   WINDOW_GUI_NORMAL = 0x00000010 }
	Flags for cv::namedWindow. More...
enum	WindowPropertyFlags {   WND_PROP_FULLSCREEN = 0 ,   WND_PROP_AUTOSIZE = 1 ,   WND_PROP_ASPECT_RATIO = 2 ,   WND_PROP_OPENGL = 3 ,   WND_PROP_VISIBLE = 4 ,   WND_PROP_TOPMOST = 5 ,   WND_PROP_VSYNC = 6 }
	Flags for cv::setWindowProperty / cv::getWindowProperty. More...
Hardware acceleration support
enum	VideoAccelerationType {   VIDEO_ACCELERATION_NONE = 0 ,   VIDEO_ACCELERATION_ANY = 1 ,   VIDEO_ACCELERATION_D3D11 = 2 ,   VIDEO_ACCELERATION_VAAPI = 3 ,   VIDEO_ACCELERATION_MFX = 4 }
	Video Acceleration type. More...
IEEE 1394 drivers
enum	{   CAP_PROP_DC1394_OFF = -4 ,   CAP_PROP_DC1394_MODE_MANUAL = -3 ,   CAP_PROP_DC1394_MODE_AUTO = -2 ,   CAP_PROP_DC1394_MODE_ONE_PUSH_AUTO = -1 ,   CAP_PROP_DC1394_MAX = 31 }
	Modes of the IEEE 1394 controlling registers (can be: auto, manual, auto single push, absolute Latter allowed with any other mode) every feature can have only one mode turned on at a time. More...
OpenNI (for Kinect)
enum	{   CAP_OPENNI_DEPTH_GENERATOR = 1 << 31 ,   CAP_OPENNI_IMAGE_GENERATOR = 1 << 30 ,   CAP_OPENNI_IR_GENERATOR = 1 << 29 ,   CAP_OPENNI_GENERATORS_MASK = CAP_OPENNI_DEPTH_GENERATOR + CAP_OPENNI_IMAGE_GENERATOR + CAP_OPENNI_IR_GENERATOR }
	OpenNI map generators. More...
enum	{   CAP_PROP_OPENNI_OUTPUT_MODE = 100 ,   CAP_PROP_OPENNI_FRAME_MAX_DEPTH = 101 ,   CAP_PROP_OPENNI_BASELINE = 102 ,   CAP_PROP_OPENNI_FOCAL_LENGTH = 103 ,   CAP_PROP_OPENNI_REGISTRATION = 104 ,   CAP_PROP_OPENNI_REGISTRATION_ON = CAP_PROP_OPENNI_REGISTRATION ,   CAP_PROP_OPENNI_APPROX_FRAME_SYNC = 105 ,   CAP_PROP_OPENNI_MAX_BUFFER_SIZE = 106 ,   CAP_PROP_OPENNI_CIRCLE_BUFFER = 107 ,   CAP_PROP_OPENNI_MAX_TIME_DURATION = 108 ,   CAP_PROP_OPENNI_GENERATOR_PRESENT = 109 ,   CAP_PROP_OPENNI2_SYNC = 110 ,   CAP_PROP_OPENNI2_MIRROR = 111 }
	Properties of cameras available through OpenNI backend. More...
enum	{   CAP_OPENNI_IMAGE_GENERATOR_PRESENT = CAP_OPENNI_IMAGE_GENERATOR + CAP_PROP_OPENNI_GENERATOR_PRESENT ,   CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE = CAP_OPENNI_IMAGE_GENERATOR + CAP_PROP_OPENNI_OUTPUT_MODE ,   CAP_OPENNI_DEPTH_GENERATOR_PRESENT = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_GENERATOR_PRESENT ,   CAP_OPENNI_DEPTH_GENERATOR_BASELINE = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_BASELINE ,   CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_FOCAL_LENGTH ,   CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_REGISTRATION ,   CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION_ON = CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION ,   CAP_OPENNI_IR_GENERATOR_PRESENT = CAP_OPENNI_IR_GENERATOR + CAP_PROP_OPENNI_GENERATOR_PRESENT }
	OpenNI shortcuts. More...
enum	{   CAP_OPENNI_DEPTH_MAP = 0 ,   CAP_OPENNI_POINT_CLOUD_MAP = 1 ,   CAP_OPENNI_DISPARITY_MAP = 2 ,   CAP_OPENNI_DISPARITY_MAP_32F = 3 ,   CAP_OPENNI_VALID_DEPTH_MASK = 4 ,   CAP_OPENNI_BGR_IMAGE = 5 ,   CAP_OPENNI_GRAY_IMAGE = 6 ,   CAP_OPENNI_IR_IMAGE = 7 }
	OpenNI data given from depth generator. More...
enum	{   CAP_OPENNI_VGA_30HZ = 0 ,   CAP_OPENNI_SXGA_15HZ = 1 ,   CAP_OPENNI_SXGA_30HZ = 2 ,   CAP_OPENNI_QVGA_30HZ = 3 ,   CAP_OPENNI_QVGA_60HZ = 4 }
	Supported output modes of OpenNI image generator. More...
GStreamer
enum	{ CAP_PROP_GSTREAMER_QUEUE_LENGTH = 200 }
PvAPI, Prosilica GigE SDK
enum	{   CAP_PROP_PVAPI_MULTICASTIP = 300 ,   CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE = 301 ,   CAP_PROP_PVAPI_DECIMATIONHORIZONTAL = 302 ,   CAP_PROP_PVAPI_DECIMATIONVERTICAL = 303 ,   CAP_PROP_PVAPI_BINNINGX = 304 ,   CAP_PROP_PVAPI_BINNINGY = 305 ,   CAP_PROP_PVAPI_PIXELFORMAT = 306 }
	PVAPI. More...
enum	{   CAP_PVAPI_FSTRIGMODE_FREERUN = 0 ,   CAP_PVAPI_FSTRIGMODE_SYNCIN1 = 1 ,   CAP_PVAPI_FSTRIGMODE_SYNCIN2 = 2 ,   CAP_PVAPI_FSTRIGMODE_FIXEDRATE = 3 ,   CAP_PVAPI_FSTRIGMODE_SOFTWARE = 4 }
	PVAPI: FrameStartTriggerMode. More...
enum	{   CAP_PVAPI_DECIMATION_OFF = 1 ,   CAP_PVAPI_DECIMATION_2OUTOF4 = 2 ,   CAP_PVAPI_DECIMATION_2OUTOF8 = 4 ,   CAP_PVAPI_DECIMATION_2OUTOF16 = 8 }
	PVAPI: DecimationHorizontal, DecimationVertical. More...
enum	{   CAP_PVAPI_PIXELFORMAT_MONO8 = 1 ,   CAP_PVAPI_PIXELFORMAT_MONO16 = 2 ,   CAP_PVAPI_PIXELFORMAT_BAYER8 = 3 ,   CAP_PVAPI_PIXELFORMAT_BAYER16 = 4 ,   CAP_PVAPI_PIXELFORMAT_RGB24 = 5 ,   CAP_PVAPI_PIXELFORMAT_BGR24 = 6 ,   CAP_PVAPI_PIXELFORMAT_RGBA32 = 7 ,   CAP_PVAPI_PIXELFORMAT_BGRA32 = 8 }
	PVAPI: PixelFormat. More...
XIMEA Camera API
enum	{   CAP_PROP_XI_DOWNSAMPLING = 400 ,   CAP_PROP_XI_DATA_FORMAT = 401 ,   CAP_PROP_XI_OFFSET_X = 402 ,   CAP_PROP_XI_OFFSET_Y = 403 ,   CAP_PROP_XI_TRG_SOURCE = 404 ,   CAP_PROP_XI_TRG_SOFTWARE = 405 ,   CAP_PROP_XI_GPI_SELECTOR = 406 ,   CAP_PROP_XI_GPI_MODE = 407 ,   CAP_PROP_XI_GPI_LEVEL = 408 ,   CAP_PROP_XI_GPO_SELECTOR = 409 ,   CAP_PROP_XI_GPO_MODE = 410 ,   CAP_PROP_XI_LED_SELECTOR = 411 ,   CAP_PROP_XI_LED_MODE = 412 ,   CAP_PROP_XI_MANUAL_WB = 413 ,   CAP_PROP_XI_AUTO_WB = 414 ,   CAP_PROP_XI_AEAG = 415 ,   CAP_PROP_XI_EXP_PRIORITY = 416 ,   CAP_PROP_XI_AE_MAX_LIMIT = 417 ,   CAP_PROP_XI_AG_MAX_LIMIT = 418 ,   CAP_PROP_XI_AEAG_LEVEL = 419 ,   CAP_PROP_XI_TIMEOUT = 420 ,   CAP_PROP_XI_EXPOSURE = 421 ,   CAP_PROP_XI_EXPOSURE_BURST_COUNT = 422 ,   CAP_PROP_XI_GAIN_SELECTOR = 423 ,   CAP_PROP_XI_GAIN = 424 ,   CAP_PROP_XI_DOWNSAMPLING_TYPE = 426 ,   CAP_PROP_XI_BINNING_SELECTOR = 427 ,   CAP_PROP_XI_BINNING_VERTICAL = 428 ,   CAP_PROP_XI_BINNING_HORIZONTAL = 429 ,   CAP_PROP_XI_BINNING_PATTERN = 430 ,   CAP_PROP_XI_DECIMATION_SELECTOR = 431 ,   CAP_PROP_XI_DECIMATION_VERTICAL = 432 ,   CAP_PROP_XI_DECIMATION_HORIZONTAL = 433 ,   CAP_PROP_XI_DECIMATION_PATTERN = 434 ,   CAP_PROP_XI_TEST_PATTERN_GENERATOR_SELECTOR = 587 ,   CAP_PROP_XI_TEST_PATTERN = 588 ,   CAP_PROP_XI_IMAGE_DATA_FORMAT = 435 ,   CAP_PROP_XI_SHUTTER_TYPE = 436 ,   CAP_PROP_XI_SENSOR_TAPS = 437 ,   CAP_PROP_XI_AEAG_ROI_OFFSET_X = 439 ,   CAP_PROP_XI_AEAG_ROI_OFFSET_Y = 440 ,   CAP_PROP_XI_AEAG_ROI_WIDTH = 441 ,   CAP_PROP_XI_AEAG_ROI_HEIGHT = 442 ,   CAP_PROP_XI_BPC = 445 ,   CAP_PROP_XI_WB_KR = 448 ,   CAP_PROP_XI_WB_KG = 449 ,   CAP_PROP_XI_WB_KB = 450 ,   CAP_PROP_XI_WIDTH = 451 ,   CAP_PROP_XI_HEIGHT = 452 ,   CAP_PROP_XI_REGION_SELECTOR = 589 ,   CAP_PROP_XI_REGION_MODE = 595 ,   CAP_PROP_XI_LIMIT_BANDWIDTH = 459 ,   CAP_PROP_XI_SENSOR_DATA_BIT_DEPTH = 460 ,   CAP_PROP_XI_OUTPUT_DATA_BIT_DEPTH = 461 ,   CAP_PROP_XI_IMAGE_DATA_BIT_DEPTH = 462 ,   CAP_PROP_XI_OUTPUT_DATA_PACKING = 463 ,   CAP_PROP_XI_OUTPUT_DATA_PACKING_TYPE = 464 ,   CAP_PROP_XI_IS_COOLED = 465 ,   CAP_PROP_XI_COOLING = 466 ,   CAP_PROP_XI_TARGET_TEMP = 467 ,   CAP_PROP_XI_CHIP_TEMP = 468 ,   CAP_PROP_XI_HOUS_TEMP = 469 ,   CAP_PROP_XI_HOUS_BACK_SIDE_TEMP = 590 ,   CAP_PROP_XI_SENSOR_BOARD_TEMP = 596 ,   CAP_PROP_XI_CMS = 470 ,   CAP_PROP_XI_APPLY_CMS = 471 ,   CAP_PROP_XI_IMAGE_IS_COLOR = 474 ,   CAP_PROP_XI_COLOR_FILTER_ARRAY = 475 ,   CAP_PROP_XI_GAMMAY = 476 ,   CAP_PROP_XI_GAMMAC = 477 ,   CAP_PROP_XI_SHARPNESS = 478 ,   CAP_PROP_XI_CC_MATRIX_00 = 479 ,   CAP_PROP_XI_CC_MATRIX_01 = 480 ,   CAP_PROP_XI_CC_MATRIX_02 = 481 ,   CAP_PROP_XI_CC_MATRIX_03 = 482 ,   CAP_PROP_XI_CC_MATRIX_10 = 483 ,   CAP_PROP_XI_CC_MATRIX_11 = 484 ,   CAP_PROP_XI_CC_MATRIX_12 = 485 ,   CAP_PROP_XI_CC_MATRIX_13 = 486 ,   CAP_PROP_XI_CC_MATRIX_20 = 487 ,   CAP_PROP_XI_CC_MATRIX_21 = 488 ,   CAP_PROP_XI_CC_MATRIX_22 = 489 ,   CAP_PROP_XI_CC_MATRIX_23 = 490 ,   CAP_PROP_XI_CC_MATRIX_30 = 491 ,   CAP_PROP_XI_CC_MATRIX_31 = 492 ,   CAP_PROP_XI_CC_MATRIX_32 = 493 ,   CAP_PROP_XI_CC_MATRIX_33 = 494 ,   CAP_PROP_XI_DEFAULT_CC_MATRIX = 495 ,   CAP_PROP_XI_TRG_SELECTOR = 498 ,   CAP_PROP_XI_ACQ_FRAME_BURST_COUNT = 499 ,   CAP_PROP_XI_DEBOUNCE_EN = 507 ,   CAP_PROP_XI_DEBOUNCE_T0 = 508 ,   CAP_PROP_XI_DEBOUNCE_T1 = 509 ,   CAP_PROP_XI_DEBOUNCE_POL = 510 ,   CAP_PROP_XI_LENS_MODE = 511 ,   CAP_PROP_XI_LENS_APERTURE_VALUE = 512 ,   CAP_PROP_XI_LENS_FOCUS_MOVEMENT_VALUE = 513 ,   CAP_PROP_XI_LENS_FOCUS_MOVE = 514 ,   CAP_PROP_XI_LENS_FOCUS_DISTANCE = 515 ,   CAP_PROP_XI_LENS_FOCAL_LENGTH = 516 ,   CAP_PROP_XI_LENS_FEATURE_SELECTOR = 517 ,   CAP_PROP_XI_LENS_FEATURE = 518 ,   CAP_PROP_XI_DEVICE_MODEL_ID = 521 ,   CAP_PROP_XI_DEVICE_SN = 522 ,   CAP_PROP_XI_IMAGE_DATA_FORMAT_RGB32_ALPHA = 529 ,   CAP_PROP_XI_IMAGE_PAYLOAD_SIZE = 530 ,   CAP_PROP_XI_TRANSPORT_PIXEL_FORMAT = 531 ,   CAP_PROP_XI_SENSOR_CLOCK_FREQ_HZ = 532 ,   CAP_PROP_XI_SENSOR_CLOCK_FREQ_INDEX = 533 ,   CAP_PROP_XI_SENSOR_OUTPUT_CHANNEL_COUNT = 534 ,   CAP_PROP_XI_FRAMERATE = 535 ,   CAP_PROP_XI_COUNTER_SELECTOR = 536 ,   CAP_PROP_XI_COUNTER_VALUE = 537 ,   CAP_PROP_XI_ACQ_TIMING_MODE = 538 ,   CAP_PROP_XI_AVAILABLE_BANDWIDTH = 539 ,   CAP_PROP_XI_BUFFER_POLICY = 540 ,   CAP_PROP_XI_LUT_EN = 541 ,   CAP_PROP_XI_LUT_INDEX = 542 ,   CAP_PROP_XI_LUT_VALUE = 543 ,   CAP_PROP_XI_TRG_DELAY = 544 ,   CAP_PROP_XI_TS_RST_MODE = 545 ,   CAP_PROP_XI_TS_RST_SOURCE = 546 ,   CAP_PROP_XI_IS_DEVICE_EXIST = 547 ,   CAP_PROP_XI_ACQ_BUFFER_SIZE = 548 ,   CAP_PROP_XI_ACQ_BUFFER_SIZE_UNIT = 549 ,   CAP_PROP_XI_ACQ_TRANSPORT_BUFFER_SIZE = 550 ,   CAP_PROP_XI_BUFFERS_QUEUE_SIZE = 551 ,   CAP_PROP_XI_ACQ_TRANSPORT_BUFFER_COMMIT = 552 ,   CAP_PROP_XI_RECENT_FRAME = 553 ,   CAP_PROP_XI_DEVICE_RESET = 554 ,   CAP_PROP_XI_COLUMN_FPN_CORRECTION = 555 ,   CAP_PROP_XI_ROW_FPN_CORRECTION = 591 ,   CAP_PROP_XI_SENSOR_MODE = 558 ,   CAP_PROP_XI_HDR = 559 ,   CAP_PROP_XI_HDR_KNEEPOINT_COUNT = 560 ,   CAP_PROP_XI_HDR_T1 = 561 ,   CAP_PROP_XI_HDR_T2 = 562 ,   CAP_PROP_XI_KNEEPOINT1 = 563 ,   CAP_PROP_XI_KNEEPOINT2 = 564 ,   CAP_PROP_XI_IMAGE_BLACK_LEVEL = 565 ,   CAP_PROP_XI_HW_REVISION = 571 ,   CAP_PROP_XI_DEBUG_LEVEL = 572 ,   CAP_PROP_XI_AUTO_BANDWIDTH_CALCULATION = 573 ,   CAP_PROP_XI_FFS_FILE_ID = 594 ,   CAP_PROP_XI_FFS_FILE_SIZE = 580 ,   CAP_PROP_XI_FREE_FFS_SIZE = 581 ,   CAP_PROP_XI_USED_FFS_SIZE = 582 ,   CAP_PROP_XI_FFS_ACCESS_KEY = 583 ,   CAP_PROP_XI_SENSOR_FEATURE_SELECTOR = 585 ,   CAP_PROP_XI_SENSOR_FEATURE_VALUE = 586 }
	Properties of cameras available through XIMEA SDK backend. More...
ARAVIS Camera API
enum	{ CAP_PROP_ARAVIS_AUTOTRIGGER = 600 }
	Properties of cameras available through ARAVIS backend. More...
AVFoundation framework for iOS
enum	{   CAP_PROP_IOS_DEVICE_FOCUS = 9001 ,   CAP_PROP_IOS_DEVICE_EXPOSURE = 9002 ,   CAP_PROP_IOS_DEVICE_FLASH = 9003 ,   CAP_PROP_IOS_DEVICE_WHITEBALANCE = 9004 ,   CAP_PROP_IOS_DEVICE_TORCH = 9005 }
	Properties of cameras available through AVFOUNDATION backend. More...
Smartek Giganetix GigEVisionSDK
enum	{   CAP_PROP_GIGA_FRAME_OFFSET_X = 10001 ,   CAP_PROP_GIGA_FRAME_OFFSET_Y = 10002 ,   CAP_PROP_GIGA_FRAME_WIDTH_MAX = 10003 ,   CAP_PROP_GIGA_FRAME_HEIGH_MAX = 10004 ,   CAP_PROP_GIGA_FRAME_SENS_WIDTH = 10005 ,   CAP_PROP_GIGA_FRAME_SENS_HEIGH = 10006 }
	Properties of cameras available through Smartek Giganetix Ethernet Vision backend. More...
Intel Perceptual Computing SDK
enum	{   CAP_PROP_INTELPERC_PROFILE_COUNT = 11001 ,   CAP_PROP_INTELPERC_PROFILE_IDX = 11002 ,   CAP_PROP_INTELPERC_DEPTH_LOW_CONFIDENCE_VALUE = 11003 ,   CAP_PROP_INTELPERC_DEPTH_SATURATION_VALUE = 11004 ,   CAP_PROP_INTELPERC_DEPTH_CONFIDENCE_THRESHOLD = 11005 ,   CAP_PROP_INTELPERC_DEPTH_FOCAL_LENGTH_HORZ = 11006 ,   CAP_PROP_INTELPERC_DEPTH_FOCAL_LENGTH_VERT = 11007 }
enum	{   CAP_INTELPERC_DEPTH_GENERATOR = 1 << 29 ,   CAP_INTELPERC_IMAGE_GENERATOR = 1 << 28 ,   CAP_INTELPERC_IR_GENERATOR = 1 << 27 ,   CAP_INTELPERC_GENERATORS_MASK = CAP_INTELPERC_DEPTH_GENERATOR + CAP_INTELPERC_IMAGE_GENERATOR + CAP_INTELPERC_IR_GENERATOR }
	Intel Perceptual Streams. More...
enum	{   CAP_INTELPERC_DEPTH_MAP = 0 ,   CAP_INTELPERC_UVDEPTH_MAP = 1 ,   CAP_INTELPERC_IR_MAP = 2 ,   CAP_INTELPERC_IMAGE = 3 }
gPhoto2 connection
enum	{   CAP_PROP_GPHOTO2_PREVIEW = 17001 ,   CAP_PROP_GPHOTO2_WIDGET_ENUMERATE = 17002 ,   CAP_PROP_GPHOTO2_RELOAD_CONFIG = 17003 ,   CAP_PROP_GPHOTO2_RELOAD_ON_CHANGE = 17004 ,   CAP_PROP_GPHOTO2_COLLECT_MSGS = 17005 ,   CAP_PROP_GPHOTO2_FLUSH_MSGS = 17006 ,   CAP_PROP_SPEED = 17007 ,   CAP_PROP_APERTURE = 17008 ,   CAP_PROP_EXPOSUREPROGRAM = 17009 ,   CAP_PROP_VIEWFINDER = 17010 }
	gPhoto2 properties More...
Images backend
enum	{   CAP_PROP_IMAGES_BASE = 18000 ,   CAP_PROP_IMAGES_LAST = 19000 }
	Images backend properties. More...
OBSENSOR (for Orbbec 3D-Sensor device/module )
enum	VideoCaptureOBSensorDataType {   CAP_OBSENSOR_DEPTH_MAP = 0 ,   CAP_OBSENSOR_BGR_IMAGE = 1 ,   CAP_OBSENSOR_IR_IMAGE = 2 }
	OBSENSOR data given from image generator. More...
enum	VideoCaptureOBSensorGenerators {   CAP_OBSENSOR_DEPTH_GENERATOR = 1 << 29 ,   CAP_OBSENSOR_IMAGE_GENERATOR = 1 << 28 ,   CAP_OBSENSOR_IR_GENERATOR = 1 << 27 ,   CAP_OBSENSOR_GENERATORS_MASK = CAP_OBSENSOR_DEPTH_GENERATOR + CAP_OBSENSOR_IMAGE_GENERATOR + CAP_OBSENSOR_IR_GENERATOR }
	OBSENSOR stream generator. More...
enum	VideoCaptureOBSensorProperties {   CAP_PROP_OBSENSOR_INTRINSIC_FX =26001 ,   CAP_PROP_OBSENSOR_INTRINSIC_FY =26002 ,   CAP_PROP_OBSENSOR_INTRINSIC_CX =26003 ,   CAP_PROP_OBSENSOR_INTRINSIC_CY =26004 }
	OBSENSOR properties. More...

Functions
softdouble	abs (softdouble a)
softfloat	abs (softfloat a)
	Absolute value.
static uchar	abs (uchar a)
static uint64	abs (uint64 a)
static unsigned	abs (unsigned a)
static ushort	abs (ushort 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.
void	accumulate (InputArray src, InputOutputArray dst, InputArray mask=noArray())
	Adds an image to the accumulator image.
void	accumulateProduct (InputArray src1, InputArray src2, InputOutputArray dst, InputArray mask=noArray())
	Adds the per-element product of two input images to the accumulator image.
void	accumulateSquare (InputArray src, InputOutputArray dst, InputArray mask=noArray())
	Adds the square of a source image to the accumulator image.
void	accumulateWeighted (InputArray src, InputOutputArray dst, double alpha, InputArray mask=noArray())
	Updates a running average.
template<typename T >
Quat< T >	acos (const Quat< T > &q)
template<typename T >
Quat< T >	acosh (const Quat< T > &q)
void	adaptiveThreshold (InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C)
	Applies an adaptive threshold to an array.
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.
void	addText (const Mat &img, const String &text, Point org, const QtFont &font)
	Draws a text on the image.
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.
void	addWeighted (InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1)
	Calculates the weighted sum of two arrays.
void	AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, AgastFeatureDetector::DetectorType type)
	Detects corners using the AGAST algorithm.
void	AGAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true)
template<typename _Tp >
static _Tp *	alignPtr (_Tp *ptr, int n=(int) sizeof(_Tp))
	Aligns a pointer to the specified number of bytes.
static size_t	alignSize (size_t sz, int n)
	Aligns a buffer size to the specified number of bytes.
void	applyColorMap (InputArray src, OutputArray dst, InputArray userColor)
	Applies a user colormap on a given image.
void	applyColorMap (InputArray src, OutputArray dst, int colormap)
	Applies a GNU Octave/MATLAB equivalent colormap on a given image.
void	approxPolyDP (InputArray curve, OutputArray approxCurve, double epsilon, bool closed)
	Approximates a polygonal curve(s) with the specified precision.
double	arcLength (InputArray curve, bool closed)
	Calculates a contour perimeter or a curve length.
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 an arrow segment pointing from the first point to the second one.
template<typename T >
Quat< T >	asin (const Quat< T > &q)
template<typename T >
Quat< T >	asinh (const Quat< T > &q)
template<typename T >
Quat< T >	atan (const Quat< T > &q)
template<typename T >
Quat< T >	atanh (const Quat< T > &q)
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
void	bilateralFilter (InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
	Applies the bilateral filter to an image.
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.
void	bitwise_not (InputArray src, OutputArray dst, InputArray mask=noArray())
	Inverts every bit of an array.
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.
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.
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.
int	borderInterpolate (int p, int len, int borderType)
	Computes the source location of an extrapolated pixel.
Rect	boundingRect (InputArray array)
	Calculates the up-right bounding rectangle of a point set or non-zero pixels of gray-scale image.
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.
void	boxPoints (RotatedRect box, OutputArray points)
	Finds the four vertices of a rotated rect. Useful to draw the rotated rectangle.
void	broadcast (InputArray src, InputArray shape, OutputArray dst)
	Broadcast the given Mat to the given shape.
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.
void	buildPyramid (InputArray src, OutputArrayOfArrays dst, int maxlevel, int borderType=BORDER_DEFAULT)
	Constructs the Gaussian pyramid for an image.
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 (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.
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.
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.
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)
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.
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.
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))
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.
double	calibrateCameraRO (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, int iFixedPoint, InputOutputArray cameraMatrix, InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, OutputArray newObjPoints, int flags=0, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, DBL_EPSILON))
double	calibrateCameraRO (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, int iFixedPoint, InputOutputArray cameraMatrix, InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, OutputArray newObjPoints, OutputArray stdDeviationsIntrinsics, OutputArray stdDeviationsExtrinsics, OutputArray stdDeviationsObjPoints, 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.
void	calibrateHandEye (InputArrayOfArrays R_gripper2base, InputArrayOfArrays t_gripper2base, InputArrayOfArrays R_target2cam, InputArrayOfArrays t_target2cam, OutputArray R_cam2gripper, OutputArray t_cam2gripper, HandEyeCalibrationMethod method=CALIB_HAND_EYE_TSAI)
	Computes Hand-Eye calibration: \(_{}^{g}\textrm{T}_c\).
void	calibrateRobotWorldHandEye (InputArrayOfArrays R_world2cam, InputArrayOfArrays t_world2cam, InputArrayOfArrays R_base2gripper, InputArrayOfArrays t_base2gripper, OutputArray R_base2world, OutputArray t_base2world, OutputArray R_gripper2cam, OutputArray t_gripper2cam, RobotWorldHandEyeCalibrationMethod method=CALIB_ROBOT_WORLD_HAND_EYE_SHAH)
	Computes Robot-World/Hand-Eye calibration: \(_{}^{w}\textrm{T}_b\) and \(_{}^{c}\textrm{T}_g\).
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 intrinsic matrix.
RotatedRect	CamShift (InputArray probImage, Rect &window, TermCriteria criteria)
	Finds an object center, size, and orientation.
bool	can_describe (const GMetaArg &meta, const GRunArg &arg)
bool	can_describe (const GMetaArg &meta, const GRunArgP &argp)
bool	can_describe (const GMetaArgs &metas, const GRunArgs &args)
void	Canny (InputArray dx, InputArray dy, OutputArray edges, double threshold1, double threshold2, bool L2gradient=false)
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 [48] .
void	cartToPolar (InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false)
	Calculates the magnitude and angle of 2D vectors.
softfloat	cbrt (const softfloat &a)
	Cube root.
bool	checkChessboard (InputArray img, Size size)
bool	checkHardwareSupport (int feature)
	Returns true if the specified feature is supported by the host hardware.
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.
bool	Cholesky (double *A, size_t astep, int m, double *b, size_t bstep, int n)
bool	Cholesky (float *A, size_t astep, int m, float *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.
bool	clipLine (Rect imgRect, Point &pt1, Point &pt2)
bool	clipLine (Size imgSize, Point &pt1, Point &pt2)
	Clips the line against the image rectangle.
bool	clipLine (Size2l imgSize, Point2l &pt1, Point2l &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.
void	compare (InputArray src1, InputArray src2, OutputArray dst, int cmpop)
	Performs the per-element comparison of two arrays or an array and scalar value.
double	compareHist (const SparseMat &H1, const SparseMat &H2, int method)
double	compareHist (InputArray H1, InputArray H2, int method)
	Compares two histograms.
template<typename... Ts>
GCompileArgs	compile_args (Ts &&... args)
	Wraps a list of arguments (a parameter pack) into a vector of compilation arguments (cv::GCompileArg).
void	completeSymm (InputOutputArray m, bool lowerToUpper=false)
	Copies the lower or the upper half of a square matrix to its another half.
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.
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.
double	computeECC (InputArray templateImage, InputArray inputImage, InputArray inputMask=noArray())
	Computes the Enhanced Correlation Coefficient value between two images [80] .
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
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
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.
void	convertFp16 (InputArray src, OutputArray dst)
	Converts an array to half precision floating number.
void	convertMaps (InputArray map1, InputArray map2, OutputArray dstmap1, OutputArray dstmap2, int dstmap1type, bool nninterpolation=false)
	Converts image transformation maps from one representation to another.
void	convertPointsFromHomogeneous (InputArray src, OutputArray dst)
	Converts points from homogeneous to Euclidean space.
void	convertPointsHomogeneous (InputArray src, OutputArray dst)
	Converts points to/from homogeneous coordinates.
void	convertPointsToHomogeneous (InputArray src, OutputArray dst)
	Converts points from Euclidean to homogeneous space.
void	convertScaleAbs (InputArray src, OutputArray dst, double alpha=1, double beta=0)
	Scales, calculates absolute values, and converts the result to 8-bit.
void	convexHull (InputArray points, OutputArray hull, bool clockwise=false, bool returnPoints=true)
	Finds the convex hull of a point set.
void	convexityDefects (InputArray contour, InputArray convexhull, OutputArray convexityDefects)
	Finds the convexity defects of a contour.
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.
void	copyTo (InputArray src, OutputArray dst, InputArray mask)
	This is an overloaded member function, provided for convenience (python) Copies the matrix to another one. When the operation mask is specified, if the Mat::create call shown above reallocates the matrix, the newly allocated matrix is initialized with all zeros before copying the data.
void	cornerEigenValsAndVecs (InputArray src, OutputArray dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT)
	Calculates eigenvalues and eigenvectors of image blocks for corner detection.
void	cornerHarris (InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT)
	Harris corner detector.
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.
void	cornerSubPix (InputArray image, InputOutputArray corners, Size winSize, Size zeroZone, TermCriteria criteria)
	Refines the corner locations.
void	correctMatches (InputArray F, InputArray points1, InputArray points2, OutputArray newPoints1, OutputArray newPoints2)
	Refines coordinates of corresponding points.
template<typename T >
Quat< T >	cos (const Quat< T > &q)
softdouble	cos (const softdouble &a)
	Cosine.
template<typename T >
Quat< T >	cosh (const Quat< T > &q)
int	countNonZero (InputArray src)
	Counts non-zero array elements.
Ptr< AffineTransformer >	createAffineTransformer (bool fullAffine)
Ptr< AlignMTB >	createAlignMTB (int max_bits=6, int exclude_range=4, bool cut=true)
	Creates AlignMTB object.
Ptr< BackgroundSubtractorKNN >	createBackgroundSubtractorKNN (int history=500, double dist2Threshold=400.0, bool detectShadows=true)
	Creates KNN Background Subtractor.
Ptr< BackgroundSubtractorMOG2 >	createBackgroundSubtractorMOG2 (int history=500, double varThreshold=16, bool detectShadows=true)
	Creates MOG2 Background Subtractor.
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.
Ptr< CalibrateDebevec >	createCalibrateDebevec (int samples=70, float lambda=10.0f, bool random=false)
	Creates CalibrateDebevec object.
Ptr< CalibrateRobertson >	createCalibrateRobertson (int max_iter=30, float threshold=0.01f)
	Creates CalibrateRobertson object.
Ptr< HistogramCostExtractor >	createChiHistogramCostExtractor (int nDummies=25, float defaultCost=0.2f)
Ptr< CLAHE >	createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))
	Creates a smart pointer to a cv::CLAHE class and initializes it.
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 ()
	Creates a smart pointer to a cv::GeneralizedHoughBallard class and initializes it.
Ptr< GeneralizedHoughGuil >	createGeneralizedHoughGuil ()
	Creates a smart pointer to a cv::GeneralizedHoughGuil class and initializes it.
void	createHanningWindow (OutputArray dst, Size winSize, int type)
	This function computes a Hanning window coefficients in two dimensions.
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.
Ptr< MergeDebevec >	createMergeDebevec ()
	Creates MergeDebevec object.
Ptr< MergeMertens >	createMergeMertens (float contrast_weight=1.0f, float saturation_weight=1.0f, float exposure_weight=0.0f)
	Creates MergeMertens object.
Ptr< MergeRobertson >	createMergeRobertson ()
	Creates MergeRobertson object.
Ptr< HistogramCostExtractor >	createNormHistogramCostExtractor (int flag=DIST_L2, int nDummies=25, float defaultCost=0.2f)
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< Stitcher >	createStitcherScans (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.
Ptr< TonemapDrago >	createTonemapDrago (float gamma=1.0f, float saturation=1.0f, float bias=0.85f)
	Creates TonemapDrago object.
Ptr< TonemapMantiuk >	createTonemapMantiuk (float gamma=1.0f, float scale=0.7f, float saturation=1.0f)
	Creates TonemapMantiuk object.
Ptr< TonemapReinhard >	createTonemapReinhard (float gamma=1.0f, float intensity=0.0f, float light_adapt=1.0f, float color_adapt=0.0f)
	Creates TonemapReinhard object.
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.
template<typename T >
Quat< T >	crossProduct (const Quat< T > &p, const Quat< T > &q)
static double	cubeRoot (double val)
float	cubeRoot (float val)
	Computes the cube root of an argument.
const std::string	currentUIFramework ()
	HighGUI backend used.
template<typename _Tp >
static void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst)
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 >
static void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst)
template<typename _Tp >
static void	cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst)
template<typename _Tp , int _layout>
static void	cv2eigen (const Mat &src, Eigen::Tensor< _Tp, 3, _layout > &dst)
	Converts a cv::Mat to an Eigen::Tensor.
template<typename _Tp , int _cols>
static void	cv2eigen (const Matx< _Tp, 1, _cols > &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &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 , 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 , 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 Eigen::TensorMap< Eigen::Tensor< _Tp, 3, Eigen::RowMajor > >	cv2eigen_tensormap (InputArray src)
	Maps cv::Mat data to an Eigen::TensorMap.
template<typename _Tp >
_Tp	cv_abs (_Tp x)
int	cv_abs (schar x)
int	cv_abs (short x)
int	cv_abs (uchar x)
int	cv_abs (ushort x)
void	cvtColor (InputArray src, OutputArray dst, int code, int dstCn=0)
	Converts an image from one color space to another.
void	cvtColorTwoPlane (InputArray src1, InputArray src2, OutputArray dst, int code)
	Converts an image from one color space to another where the source image is stored in two planes.
void	dct (InputArray src, OutputArray dst, int flags=0)
	Performs a forward or inverse discrete Cosine transform of 1D or 2D array.
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 [175] .
void	decomposeEssentialMat (InputArray E, OutputArray R1, OutputArray R2, OutputArray t)
	Decompose an essential matrix to possible rotations and translation.
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).
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 intrinsic matrix.
void	demosaicing (InputArray src, OutputArray dst, int code, int dstCn=0)
	main function for all demosaicing processes
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.
const char *	depthToString (int depth)
GMatDesc	descr_of (const cv::Mat &mat)
GScalarDesc	descr_of (const cv::Scalar &scalar)
GMatDesc	descr_of (const cv::UMat &mat)
GMetaArg	descr_of (const GRunArg &arg)
GMetaArg	descr_of (const GRunArgP &argp)
GMetaArgs	descr_of (const GRunArgs &args)
GFrameDesc	descr_of (const MediaFrame &frame)
GMatDesc	descr_of (const RMat &mat)
template<typename U >
GArrayDesc	descr_of (const std::vector< U > &)
template<typename U >
GOpaqueDesc	descr_of (const U &)
cv::GMetaArgs	descrs_of (const std::vector< cv::Mat > &vec)
cv::GMetaArgs	descrs_of (const std::vector< cv::UMat > &vec)
void	destroyAllWindows ()
	Destroys all of the HighGUI windows.
void	destroyWindow (const String &winname)
	Destroys the specified window.
void	detailEnhance (InputArray src, OutputArray dst, float sigma_s=10, float sigma_r=0.15f)
	This filter enhances the details of a particular image.
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.
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.
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.
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.
void	displayStatusBar (const String &winname, const String &text, int delayms=0)
	Displays a text on the window statusbar during the specified period of time.
void	distanceTransform (InputArray src, OutputArray dst, int distanceType, int maskSize, int dstType=CV_32F)
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.
void	divide (double scale, InputArray src2, OutputArray dst, int dtype=-1)
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.
void	divSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false)
	Performs the per-element division of the first Fourier spectrum by the second Fourier spectrum.
static int	divUp (int a, unsigned int b)
	Integer division with result round up.
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.
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.
void	drawFrameAxes (InputOutputArray image, InputArray cameraMatrix, InputArray distCoeffs, InputArray rvec, InputArray tvec, float length, int thickness=3)
	Draw axes of the world/object coordinate system from pose estimation.
void	drawKeypoints (InputArray image, const std::vector< KeyPoint > &keypoints, InputOutputArray outImage, const Scalar &color=Scalar::all(-1), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
	Draws keypoints.
void	drawMarker (InputOutputArray 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.
void	drawMatches (InputArray img1, const std::vector< KeyPoint > &keypoints1, InputArray img2, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, InputOutputArray outImg, const int matchesThickness, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const std::vector< char > &matchesMask=std::vector< char >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
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 >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
	Draws the found matches of keypoints from two images.
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 > >(), DrawMatchesFlags flags=DrawMatchesFlags::DEFAULT)
static void	dumpOpenCLInformation ()
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 [100] .
bool	eigen (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors=noArray())
	Calculates eigenvalues and eigenvectors of a symmetric matrix.
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)
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, OutputArray dst)
template<typename _Tp , int _layout>
static void	eigen2cv (const Eigen::Tensor< _Tp, 3, _layout > &src, OutputArray dst)
	Converts an Eigen::Tensor to a cv::Mat.
void	eigenNonSymmetric (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors)
	Calculates eigenvalues and eigenvectors of a non-symmetric matrix (real eigenvalues only).
void	ellipse (InputOutputArray img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=LINE_8)
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.
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.
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.
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.
GArrayDesc	empty_array_desc ()
static GFrameDesc	empty_gframe_desc ()
static GMatDesc	empty_gmat_desc ()
GOpaqueDesc	empty_gopaque_desc ()
GScalarDesc	empty_scalar_desc ()
void	equalizeHist (InputArray src, OutputArray dst)
	Equalizes the histogram of a grayscale image.
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.
void	error (const Exception &exc)
	Signals an error and raises the exception.
void	error (int _code, const String &_err, const char *_func, const char *_file, int _line)
	Signals an error and raises the exception.
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.
cv::Mat	estimateAffine2D (InputArray pts1, InputArray pts2, OutputArray inliers, const UsacParams &params)
cv::Mat	estimateAffine3D (InputArray src, InputArray dst, double *scale=nullptr, bool force_rotation=true)
	Computes an optimal affine transformation between two 3D point sets.
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.
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.
Scalar	estimateChessboardSharpness (InputArray image, Size patternSize, InputArray corners, float rise_distance=0.8F, bool vertical=false, OutputArray sharpness=noArray())
	Estimates the sharpness of a detected chessboard.
Mat	estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine)
	Computes an optimal affine transformation between two 2D point sets.
int	estimateTranslation3D (InputArray src, InputArray dst, OutputArray out, OutputArray inliers, double ransacThreshold=3, double confidence=0.99)
	Computes an optimal translation between two 3D point sets.
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 >())
template<typename T >
Quat< T >	exp (const Quat< T > &q)
softdouble	exp (const softdouble &a)
softfloat	exp (const softfloat &a)
	Exponent.
void	exp (InputArray src, OutputArray dst)
	Calculates the exponent of every array element.
void	extractChannel (InputArray src, OutputArray dst, int coi)
	Extracts a single channel from src (coi is 0-based index)
void	FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, FastFeatureDetector::DetectorType type)
	Detects corners using the FAST algorithm.
void	FAST (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true)
float	fastAtan2 (float y, float x)
	Calculates the angle of a 2D vector in degrees.
void	fastFree (void *ptr)
	Deallocates a memory buffer.
void *	fastMalloc (size_t bufSize)
	Allocates an aligned memory buffer.
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.
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.
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.
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.
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 consecutive 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. See [44] for more details (open access here).
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 consecutive 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. See [44] for more details (open access here).
void	fillConvexPoly (InputOutputArray 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.
void	fillPoly (InputOutputArray 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.
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.
void	filterHomographyDecompByVisibleRefpoints (InputArrayOfArrays rotations, InputArrayOfArrays normals, InputArray beforePoints, InputArray afterPoints, OutputArray possibleSolutions, InputArray pointsMask=noArray())
	Filters homography decompositions based on additional information.
void	filterSpeckles (InputOutputArray img, double newVal, int maxSpeckleSize, double maxDiff, InputOutputArray buf=noArray())
	Filters off small noise blobs (speckles) in the disparity map.
bool	find4QuadCornerSubpix (InputArray img, InputOutputArray corners, Size region_size)
	finds subpixel-accurate positions of the chessboard corners
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.
bool	findChessboardCornersSB (InputArray image, Size patternSize, OutputArray corners, int flags, OutputArray meta)
	Finds the positions of internal corners of the chessboard using a sector based approach.
bool	findChessboardCornersSB (InputArray image, Size patternSize, OutputArray corners, int flags=0)
bool	findCirclesGrid (InputArray image, Size patternSize, OutputArray centers, int flags, const Ptr< FeatureDetector > &blobDetector, const CirclesGridFinderParameters &parameters)
	Finds centers in the grid of circles.
bool	findCirclesGrid (InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr< FeatureDetector > &blobDetector=SimpleBlobDetector::create())
void	findContours (InputArray image, OutputArrayOfArrays contours, int mode, int method, Point offset=Point())
void	findContours (InputArray image, OutputArrayOfArrays contours, OutputArray hierarchy, int mode, int method, Point offset=Point())
	Finds contours in a binary image.
void	findContoursLinkRuns (InputArray image, OutputArrayOfArrays contours)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
void	findContoursLinkRuns (InputArray image, OutputArrayOfArrays contours, OutputArray hierarchy)
	Find contours using link runs algorithm.
Mat	findEssentialMat (InputArray points1, InputArray points2, double focal, Point2d pp, int method, double prob, double threshold, OutputArray mask)
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, int maxIters=1000, OutputArray mask=noArray())
Mat	findEssentialMat (InputArray points1, InputArray points2, InputArray cameraMatrix, int method, double prob, double threshold, OutputArray mask)
Mat	findEssentialMat (InputArray points1, InputArray points2, InputArray cameraMatrix, int method=RANSAC, double prob=0.999, double threshold=1.0, int maxIters=1000, OutputArray mask=noArray())
	Calculates an essential matrix from the corresponding points in two images.
Mat	findEssentialMat (InputArray points1, InputArray points2, InputArray cameraMatrix1, InputArray cameraMatrix2, InputArray dist_coeff1, InputArray dist_coeff2, OutputArray mask, const UsacParams &params)
Mat	findEssentialMat (InputArray points1, InputArray points2, InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, 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 from potentially two different cameras.
Mat	findFundamentalMat (InputArray points1, InputArray points2, int method, double ransacReprojThreshold, double confidence, int maxIters, OutputArray mask=noArray())
	Calculates a fundamental matrix from the corresponding points in two images.
Mat	findFundamentalMat (InputArray points1, InputArray points2, int method=FM_RANSAC, double ransacReprojThreshold=3., double confidence=0.99, OutputArray mask=noArray())
Mat	findFundamentalMat (InputArray points1, InputArray points2, OutputArray mask, const UsacParams &params)
Mat	findFundamentalMat (InputArray points1, InputArray points2, OutputArray mask, int method=FM_RANSAC, double ransacReprojThreshold=3., double confidence=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.
Mat	findHomography (InputArray srcPoints, InputArray dstPoints, OutputArray mask, const UsacParams &params)
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.
double	findTransformECC (InputArray templateImage, InputArray inputImage, InputOutputArray warpMatrix, int motionType, TermCriteria criteria, InputArray inputMask, int gaussFiltSize)
	Finds the geometric transform (warp) between two images in terms of the ECC criterion [80] .
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())
RotatedRect	fitEllipse (InputArray points)
	Fits an ellipse around a set of 2D points.
RotatedRect	fitEllipseAMS (InputArray points)
	Fits an ellipse around a set of 2D points.
RotatedRect	fitEllipseDirect (InputArray points)
	Fits an ellipse around a set of 2D points.
void	fitLine (InputArray points, OutputArray line, int distType, double param, double reps, double aeps)
	Fits a line to a 2D or 3D point set.
void	flip (InputArray src, OutputArray dst, int flipCode)
	Flips a 2D array around vertical, horizontal, or both axes.
void	flipND (InputArray src, OutputArray dst, int axis)
	Flips a n-dimensional at given axis.
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.
int	floodFill (InputOutputArray image, Point seedPoint, Scalar newVal, Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
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.
String	format (const char *fmt,...)
	Returns a text string formatted using the printf-like expression.
void	GaussianBlur (InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT)
	Blurs an image using a Gaussian filter.
void	gemm (InputArray src1, InputArray src2, double alpha, InputArray src3, double beta, OutputArray dst, int flags=0)
	Performs generalized matrix multiplication.
Mat	getAffineTransform (const Point2f src[], const Point2f dst[])
	Calculates an affine transform from three pairs of the corresponding points.
Mat	getAffineTransform (InputArray src, InputArray dst)
const String &	getBuildInformation ()
	Returns full configuration time cmake output.
std::string	getCPUFeaturesLine ()
	Returns list of CPU features enabled during compilation.
int64	getCPUTickCount ()
	Returns the number of CPU ticks.
Mat	getDefaultNewCameraMatrix (InputArray cameraMatrix, Size imgsize=Size(), bool centerPrincipalPoint=false)
	Returns the default new camera matrix.
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.
static size_t	getElemSize (int type)
double	getFontScaleFromHeight (const int fontFace, const int pixelHeight, const int thickness=1)
	Calculates the font-specific size to use to achieve a given height in pixels.
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.
Mat	getGaussianKernel (int ksize, double sigma, int ktype=CV_64F)
	Returns Gaussian filter coefficients.
String	getHardwareFeatureName (int feature)
	Returns feature name by ID.
int	getMouseWheelDelta (int flags)
	Gets the mouse-wheel motion delta, when handling mouse-wheel events cv::EVENT_MOUSEWHEEL and cv::EVENT_MOUSEHWHEEL.
int	getNearestPoint (const std::vector< Point2f > &recallPrecisionCurve, float l_precision)
int	getNumberOfCPUs ()
	Returns the number of logical CPUs available for the process.
int	getNumThreads ()
	Returns the number of threads used by OpenCV for parallel regions.
int	getOptimalDFTSize (int vecsize)
	Returns the optimal DFT size for a given vector size.
Mat	getOptimalNewCameraMatrix (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, double alpha, Size newImgSize=Size(), Rect *validPixROI=0, bool centerPrincipalPoint=false)
	Returns the new camera intrinsic matrix based on the free scaling parameter.
Mat	getPerspectiveTransform (const Point2f src[], const Point2f dst[], int solveMethod=DECOMP_LU)
Mat	getPerspectiveTransform (InputArray src, InputArray dst, int solveMethod=DECOMP_LU)
	Calculates a perspective transform from four pairs of the corresponding points.
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.
Mat	getRotationMatrix2D (Point2f center, double angle, double scale)
	Calculates an affine matrix of 2D rotation.
Matx23d	getRotationMatrix2D_ (Point2f center, double angle, double scale)
Mat	getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1))
	Returns a structuring element of the specified size and shape for morphological operations.
Size	getTextSize (const String &text, int fontFace, double fontScale, int thickness, int *baseLine)
	Calculates the width and height of a text string.
int	getThreadNum ()
	Returns the index of the currently executed thread within the current parallel region. Always returns 0 if called outside of parallel region.
int64	getTickCount ()
	Returns the number of ticks.
double	getTickFrequency ()
	Returns the number of ticks per second.
int	getTrackbarPos (const String &trackbarname, const String &winname)
	Returns the trackbar position.
Rect	getValidDisparityROI (Rect roi1, Rect roi2, int minDisparity, int numberOfDisparities, int blockSize)
	computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by stereoRectify)
int	getVersionMajor ()
	Returns major library version.
int	getVersionMinor ()
	Returns minor library version.
int	getVersionRevision ()
	Returns revision field of the library version.
String	getVersionString ()
	Returns library version string.
Rect	getWindowImageRect (const String &winname)
	Provides rectangle of image in the window.
double	getWindowProperty (const String &winname, int prop_id)
	Provides parameters of a window.
template<typename... Ts>
GRunArgs	gin (const Ts &... args)
template<typename... Ts>
GProtoInputArgs	GIn (Ts &&... ts)
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, int blockSize, int gradientSize, bool useHarrisDetector=false, double k=0.04)
void	goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, OutputArray cornersQuality, int blockSize=3, int gradientSize=3, bool useHarrisDetector=false, double k=0.04)
	Same as above, but returns also quality measure of the detected corners.
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.
template<typename... Ts>
GProtoOutputArgs	GOut (const std::tuple< Ts... > &ts)
template<typename T , typename... Ts>
GOptRunArgsP	gout (optional< T > &arg, optional< Ts > &... args)
template<typename... Ts>
GProtoOutputArgs	GOut (std::tuple< Ts... > &&ts)
template<typename... Ts>
GProtoOutputArgs	GOut (Ts &&... ts)
template<typename... Ts>
GRunArgsP	gout (Ts &... args)
void	grabCut (InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL)
	Runs the GrabCut algorithm.
void	groupRectangles (std::vector< Rect > &rectList, int groupThreshold, double eps, std::vector< int > *weights, std::vector< double > *levelWeights)
void	groupRectangles (std::vector< Rect > &rectList, int groupThreshold, double eps=0.2)
	Groups the object candidate rectangles.
void	groupRectangles (std::vector< Rect > &rectList, std::vector< int > &rejectLevels, std::vector< double > &levelWeights, int groupThreshold, double eps=0.2)
void	groupRectangles (std::vector< Rect > &rectList, std::vector< int > &weights, 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	hasNonZero (InputArray src)
	Checks for the presence of at least one non-zero array element.
CV_EXPORTS_W bool	haveImageReader (const String &filename)
	Returns true if the specified image can be decoded by OpenCV.
CV_EXPORTS_W bool	haveImageWriter (const String &filename)
	Returns true if an image with the specified filename can be encoded by OpenCV.
bool	haveOpenVX ()
	Check if use of OpenVX is possible.
void	hconcat (const Mat *src, size_t nsrc, OutputArray dst)
	Applies horizontal concatenation to given matrices.
void	hconcat (InputArray src1, InputArray src2, OutputArray dst)
void	hconcat (InputArrayOfArrays src, OutputArray dst)
hfloat	hfloatFromBits (ushort w)
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.
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.
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.
void	HoughLinesPointSet (InputArray point, OutputArray lines, int lines_max, int threshold, double min_rho, double max_rho, double rho_step, double min_theta, double max_theta, double theta_step)
	Finds lines in a set of points using the standard Hough transform.
static void	HoughLinesWithAccumulator (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 and get accumulator.
void	HuMoments (const Moments &m, OutputArray hu)
void	HuMoments (const Moments &moments, double hu[7])
	Calculates seven Hu invariants.
std::string	icvExtractPattern (const std::string &filename, unsigned *offset)
void	idct (InputArray src, OutputArray dst, int flags=0)
	Calculates the inverse Discrete Cosine Transform of a 1D or 2D array.
void	idft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0)
	Calculates the inverse Discrete Fourier Transform of a 1D or 2D array.
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.
CV_EXPORTS_W size_t	imcount (const String &filename, int flags=IMREAD_ANYCOLOR)
	Returns the number of images inside the give file.
CV_EXPORTS_W Mat	imdecode (InputArray buf, int flags)
	Reads an image from a buffer in memory.
CV_EXPORTS Mat	imdecode (InputArray buf, int flags, Mat *dst)
CV_EXPORTS_W bool	imdecodemulti (InputArray buf, int flags, CV_OUT std::vector< Mat > &mats, const cv::Range &range=Range::all())
	Reads a multi-page image from a buffer in memory.
CV_EXPORTS_W bool	imencode (const String &ext, InputArray img, CV_OUT std::vector< uchar > &buf, const std::vector< int > &params=std::vector< int >())
	Encodes an image into a memory buffer.
CV_EXPORTS_W Mat	imread (const String &filename, int flags=IMREAD_COLOR)
	Loads an image from a file.
CV_EXPORTS_W void	imread (const String &filename, OutputArray dst, int flags=IMREAD_COLOR)
	Loads an image from a file.
CV_EXPORTS_W bool	imreadmulti (const String &filename, CV_OUT std::vector< Mat > &mats, int flags=IMREAD_ANYCOLOR)
	Loads a multi-page image from a file.
CV_EXPORTS_W bool	imreadmulti (const String &filename, CV_OUT std::vector< Mat > &mats, int start, int count, int flags=IMREAD_ANYCOLOR)
	Loads a of images of a multi-page image from a file.
void	imshow (const String &winname, const ogl::Texture2D &tex)
	Displays OpenGL 2D texture in the specified window.
void	imshow (const String &winname, InputArray mat)
	Displays an image in the specified window.
CV_EXPORTS_W bool	imwrite (const String &filename, InputArray img, const std::vector< int > &params=std::vector< int >())
	Saves an image to a specified file.
static CV_WRAP bool	imwritemulti (const String &filename, InputArrayOfArrays img, const std::vector< int > &params=std::vector< int >())
	multi-image overload for bindings
Mat	initCameraMatrix2D (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, double aspectRatio=1.0)
	Finds an initial camera intrinsic matrix from 3D-2D point correspondences.
void	initInverseRectificationMap (InputArray cameraMatrix, InputArray distCoeffs, InputArray R, InputArray newCameraMatrix, const Size &size, int m1type, OutputArray map1, OutputArray map2)
	Computes the projection and inverse-rectification transformation map. In essense, this is the inverse of initUndistortRectifyMap to accomodate stereo-rectification of projectors ('inverse-cameras') in projector-camera pairs.
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.
float	initWideAngleProjMap (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, int destImageWidth, int m1type, OutputArray map1, OutputArray map2, enum UndistortTypes projType=PROJ_SPHERICAL_EQRECT, double alpha=0)
	initializes maps for remap for wide-angle
static float	initWideAngleProjMap (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, int destImageWidth, int m1type, OutputArray map1, OutputArray map2, int projType, double alpha=0)
void	inpaint (InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags)
	Restores the selected region in an image using the region neighborhood.
void	inRange (InputArray src, InputArray lowerb, InputArray upperb, OutputArray dst)
	Checks if array elements lie between the elements of two other arrays.
void	insertChannel (InputArray src, InputOutputArray dst, int coi)
	Inserts a single channel to dst (coi is 0-based index)
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.
float	intersectConvexConvex (InputArray p1, InputArray p2, OutputArray p12, bool handleNested=true)
	Finds intersection of two convex polygons.
template<typename T >
Quat< T >	inv (const Quat< T > &q, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
double	invert (InputArray src, OutputArray dst, int flags=DECOMP_LU)
	Finds the inverse or pseudo-inverse of a matrix.
void	invertAffineTransform (InputArray M, OutputArray iM)
	Inverts an affine transformation.
template<int N, typename T >
static bool	isAligned (const T &data)
	Alignment check of passed values.
template<int N>
static bool	isAligned (const void *p1)
template<int N>
static bool	isAligned (const void *p1, const void *p2)
template<int N>
static bool	isAligned (const void *p1, const void *p2, const void *p3)
template<int N>
static bool	isAligned (const void *p1, const void *p2, const void *p3, const void *p4)
bool	isContourConvex (InputArray contour)
	Tests a contour convexity.
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.
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.
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.
void	linearPolar (InputArray src, OutputArray dst, Point2f center, double maxRadius, int flags)
	Remaps an image to polar coordinates space.
void	loadWindowParameters (const String &windowName)
	Loads parameters of the specified window.
template<typename T >
Quat< T >	log (const Quat< T > &q, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
softdouble	log (const softdouble &a)
softfloat	log (const softfloat &a)
	Natural logarithm.
void	log (InputArray src, OutputArray dst)
	Calculates the natural logarithm of every array element.
void	logPolar (InputArray src, OutputArray dst, Point2f center, double M, int flags)
	Remaps an image to semilog-polar coordinates space.
int	LU (double *A, size_t astep, int m, double *b, size_t bstep, int n)
int	LU (float *A, size_t astep, int m, float *b, size_t bstep, int n)
void	LUT (InputArray src, InputArray lut, OutputArray dst)
	Performs a look-up table transform of an array.
void	magnitude (InputArray x, InputArray y, OutputArray magnitude)
	Calculates the magnitude of 2D vectors.
double	Mahalanobis (InputArray v1, InputArray v2, InputArray icovar)
	Calculates the Mahalanobis distance between two vectors.
template<typename T , typename... Ts>
RMat	make_rmat (Ts &&... args)
template<typename _Tp , typename ... A1>
static Ptr< _Tp >	makePtr (const A1 &... a1)
double	matchShapes (InputArray contour1, InputArray contour2, int method, double parameter)
	Compares two shapes.
void	matchTemplate (InputArray image, InputArray templ, OutputArray result, int method, InputArray mask=noArray())
	Compares a template against overlapped image regions.
void	matMulDeriv (InputArray A, InputArray B, OutputArray dABdA, OutputArray dABdB)
	Computes partial derivatives of the matrix product for each multiplied matrix.
void	max (const Mat &src1, const Mat &src2, Mat &dst)
softdouble	max (const softdouble &a, const softdouble &b)
softfloat	max (const softfloat &a, const softfloat &b)
void	max (const UMat &src1, const UMat &src2, UMat &dst)
void	max (InputArray src1, InputArray src2, OutputArray dst)
	Calculates per-element maximum of two arrays or an array and a scalar.
Scalar	mean (InputArray src, InputArray mask=noArray())
	Calculates an average (mean) of array elements.
int	meanShift (InputArray probImage, Rect &window, TermCriteria criteria)
	Finds an object on a back projection image.
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.
void	merge (const Mat *mv, size_t count, OutputArray dst)
	Creates one multi-channel array out of several single-channel ones.
void	merge (InputArrayOfArrays mv, OutputArray dst)
void	min (const Mat &src1, const Mat &src2, Mat &dst)
softdouble	min (const softdouble &a, const softdouble &b)
softfloat	min (const softfloat &a, const softfloat &b)
	Min and Max functions.
void	min (const UMat &src1, const UMat &src2, UMat &dst)
void	min (InputArray src1, InputArray src2, OutputArray dst)
	Calculates per-element minimum of two arrays or an array and a scalar.
RotatedRect	minAreaRect (InputArray points)
	Finds a rotated rectangle of the minimum area enclosing the input 2D point set.
void	minEnclosingCircle (InputArray points, Point2f &center, float &radius)
	Finds a circle of the minimum area enclosing a 2D point set.
double	minEnclosingTriangle (InputArray points, OutputArray triangle)
	Finds a triangle of minimum area enclosing a 2D point set and returns its area.
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.
void	minMaxLoc (const SparseMat &a, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0)
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.
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.
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.
static Scalar	morphologyDefaultBorderValue ()
	returns "magic" border value for erosion and dilation. It is automatically transformed to Scalar::all(-DBL_MAX) for dilation.
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.
void	moveWindow (const String &winname, int x, int y)
	Moves the window to the specified position.
softdouble	mulAdd (const softdouble &a, const softdouble &b, const softdouble &c)
softfloat	mulAdd (const softfloat &a, const softfloat &b, const softfloat &c)
	Fused Multiplication and Addition.
void	mulSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false)
	Performs the per-element multiplication of two Fourier spectrums.
void	multiply (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1)
	Calculates the per-element scaled product of two arrays.
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.
void	namedWindow (const String &winname, int flags=WINDOW_AUTOSIZE)
	Creates a window.
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 (const SparseMat &src, int normType)
double	norm (InputArray src1, InputArray src2, int normType=NORM_L2, InputArray mask=noArray())
	Calculates an absolute difference norm or a relative difference norm.
double	norm (InputArray src1, int normType=NORM_L2, InputArray mask=noArray())
	Calculates the absolute norm of an array.
void	normalize (const SparseMat &src, SparseMat &dst, double alpha, int normType)
template<typename _Tp , int cn>
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.
template<typename _Tp , typename _AccTp >
static _AccTp	normInf (const _Tp *a, const _Tp *b, int n)
template<typename _Tp , typename _AccTp >
static _AccTp	normInf (const _Tp *a, int n)
template<typename _Tp , typename _AccTp >
static _AccTp	normL1 (const _Tp *a, const _Tp *b, int n)
template<typename _Tp , typename _AccTp >
static _AccTp	normL1 (const _Tp *a, 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, const _Tp *b, int n)
template<typename _Tp , typename _AccTp >
static _AccTp	normL2Sqr (const _Tp *a, int n)
static float	normL2Sqr (const float *a, const float *b, int n)
cv::GMat	operator!= (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator!= (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator!= (const cv::GScalar &lhs, const cv::GMat &rhs)
bool	operator!= (const FileNodeIterator &it1, const FileNodeIterator &it2)
template<typename _Tp , int m, int n>
static bool	operator!= (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b)
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.
cv::GMat	operator& (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator& (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator& (const cv::GScalar &lhs, const cv::GMat &rhs)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator& (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Bitwise AND.
template<typename _Tp , int n>
v_reg< _Tp, n > &	operator&= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
template<typename T , typename V >
static V	operator* (const Affine3< T > &affine, const V &vector)
	V is a 3-element vector with member fields x, y and z.
template<typename T >
static Affine3< T >	operator* (const Affine3< T > &affine1, const Affine3< T > &affine2)
static Vec3d	operator* (const Affine3d &affine, const Vec3d &vector)
static Vec3f	operator* (const Affine3f &affine, const Vec3f &vector)
cv::GMat	operator* (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator* (const cv::GMat &lhs, float rhs)
cv::GMat	operator* (const cv::GScalar &lhs, const cv::GMat &rhs)
template<typename _Tp , int m, int n, int l>
static Matx< _Tp, m, n >	operator* (const Matx< _Tp, m, l > &a, const Matx< _Tp, l, n > &b)
template<typename _Tp , int m, int n>
static Vec< _Tp, m >	operator* (const Matx< _Tp, m, n > &a, const Vec< _Tp, n > &b)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator* (const Matx< _Tp, m, n > &a, double alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator* (const Matx< _Tp, m, n > &a, float alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator* (const Matx< _Tp, m, n > &a, int alpha)
template<typename T >
Quat< T >	operator* (const Quat< T > &, const T)
template<typename T >
Quat< T >	operator* (const T, const Quat< T > &)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator* (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Multiply values.
template<typename _Tp >
Vec< _Tp, 4 >	operator* (const Vec< _Tp, 4 > &v1, const Vec< _Tp, 4 > &v2)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator* (const Vec< _Tp, cn > &a, double alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator* (const Vec< _Tp, cn > &a, float alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator* (const Vec< _Tp, cn > &a, int alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator* (double alpha, const Matx< _Tp, m, n > &a)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator* (double alpha, const Vec< _Tp, cn > &a)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator* (float alpha, const Matx< _Tp, m, n > &a)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator* (float alpha, const Vec< _Tp, cn > &a)
cv::GMat	operator* (float lhs, const cv::GMat &rhs)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator* (int alpha, const Matx< _Tp, m, n > &a)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator* (int alpha, const Vec< _Tp, cn > &a)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > &	operator*= (Matx< _Tp, m, n > &a, double alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > &	operator*= (Matx< _Tp, m, n > &a, float alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > &	operator*= (Matx< _Tp, m, n > &a, int alpha)
template<typename _Tp , int n>
v_reg< _Tp, n > &	operator*= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
template<typename _Tp >
Vec< _Tp, 4 > &	operator*= (Vec< _Tp, 4 > &v1, const Vec< _Tp, 4 > &v2)
template<typename _Tp , int cn>
static Vec< _Tp, cn > &	operator*= (Vec< _Tp, cn > &a, double alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn > &	operator*= (Vec< _Tp, cn > &a, float alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn > &	operator*= (Vec< _Tp, cn > &a, int alpha)
cv::GMat	operator+ (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator+ (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator+ (const cv::GScalar &lhs, const cv::GMat &rhs)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator+ (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, 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.
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator+ (const Vec< _Tp, cn > &a, const Vec< _Tp, cn > &b)
cv::GCompileArgs &	operator+= (cv::GCompileArgs &lhs, const cv::GCompileArgs &rhs)
template<typename Tg >
cv::GIOProtoArgs< Tg > &	operator+= (cv::GIOProtoArgs< Tg > &lhs, const cv::GIOProtoArgs< Tg > &rhs)
GRunArgs &	operator+= (GRunArgs &lhs, const GRunArgs &rhs)
	This operator allows to complement the input vector at runtime.
GRunArgsP &	operator+= (GRunArgsP &lhs, const GRunArgsP &rhs)
	This operator allows to complement the output vector at runtime.
template<typename _Tp1 , typename _Tp2 , int m, int n>
static Matx< _Tp1, m, n > &	operator+= (Matx< _Tp1, m, n > &a, const Matx< _Tp2, m, n > &b)
template<typename _Tp , int n>
v_reg< _Tp, n > &	operator+= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
template<typename _Tp1 , typename _Tp2 , int cn>
static Vec< _Tp1, cn > &	operator+= (Vec< _Tp1, cn > &a, const Vec< _Tp2, cn > &b)
cv::GMat	operator- (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator- (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator- (const cv::GScalar &lhs, const cv::GMat &rhs)
static ptrdiff_t	operator- (const FileNodeIterator &it1, const FileNodeIterator &it2)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator- (const Matx< _Tp, m, n > &a)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator- (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, 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.
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator- (const Vec< _Tp, cn > &a)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator- (const Vec< _Tp, cn > &a, const Vec< _Tp, cn > &b)
template<typename _Tp1 , typename _Tp2 , int m, int n>
static Matx< _Tp1, m, n > &	operator-= (Matx< _Tp1, m, n > &a, const Matx< _Tp2, m, n > &b)
template<typename _Tp , int n>
v_reg< _Tp, n > &	operator-= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
template<typename _Tp1 , typename _Tp2 , int cn>
static Vec< _Tp1, cn > &	operator-= (Vec< _Tp1, cn > &a, const Vec< _Tp2, cn > &b)
cv::GMat	operator/ (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator/ (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator/ (const cv::GScalar &lhs, const cv::GMat &rhs)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator/ (const Matx< _Tp, m, n > &a, double alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n >	operator/ (const Matx< _Tp, m, n > &a, float alpha)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator/ (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Divide values.
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator/ (const Vec< _Tp, cn > &a, double alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator/ (const Vec< _Tp, cn > &a, float alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn >	operator/ (const Vec< _Tp, cn > &a, int alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > &	operator/= (Matx< _Tp, m, n > &a, double alpha)
template<typename _Tp , int m, int n>
static Matx< _Tp, m, n > &	operator/= (Matx< _Tp, m, n > &a, float alpha)
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 cn>
static Vec< _Tp, cn > &	operator/= (Vec< _Tp, cn > &a, double alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn > &	operator/= (Vec< _Tp, cn > &a, float alpha)
template<typename _Tp , int cn>
static Vec< _Tp, cn > &	operator/= (Vec< _Tp, cn > &a, int alpha)
cv::GMat	operator< (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator< (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator< (const cv::GScalar &lhs, const cv::GMat &rhs)
static bool	operator< (const FileNodeIterator &it1, const FileNodeIterator &it2)
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.
template<typename _Tp , int n>
v_reg< _Tp, n >	operator<< (const v_reg< _Tp, n > &a, int imm)
	Bitwise shift left.
static FileStorage &	operator<< (FileStorage &fs, char *value)
	Writes data to a file storage.
template<typename _Tp >
static FileStorage &	operator<< (FileStorage &fs, const _Tp &value)
	Writes data to a file storage.
static FileStorage &	operator<< (FileStorage &fs, const char *str)
	Writes data to a file storage.
FileStorage &	operator<< (FileStorage &fs, const String &str)
	Writes string to a file storage.
template<typename _Tp >
std::ostream &	operator<< (std::ostream &, const DualQuat< _Tp > &)
template<typename _Tp >
std::ostream &	operator<< (std::ostream &, const Quat< _Tp > &)
template<typename S >
std::ostream &	operator<< (std::ostream &, const Quat< S > &)
std::ostream &	operator<< (std::ostream &os, const cv::GArrayDesc &desc)
std::ostream &	operator<< (std::ostream &os, const cv::GFrameDesc &desc)
std::ostream &	operator<< (std::ostream &os, const cv::GMatDesc &desc)
std::ostream &	operator<< (std::ostream &os, const cv::GOpaqueDesc &desc)
std::ostream &	operator<< (std::ostream &os, const cv::GScalarDesc &desc)
std::ostream &	operator<< (std::ostream &os, const GMetaArg &)
static std::ostream &	operator<< (std::ostream &out, const TickMeter &tm)
	output operator
static String &	operator<< (String &out, const Mat &mtx)
static String &	operator<< (String &out, Ptr< Formatted > fmtd)
cv::GMat	operator<= (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator<= (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator<= (const cv::GScalar &lhs, const cv::GMat &rhs)
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.
cv::GMat	operator== (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator== (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator== (const cv::GScalar &lhs, const cv::GMat &rhs)
bool	operator== (const FileNodeIterator &it1, const FileNodeIterator &it2)
template<typename _Tp , int m, int n>
static bool	operator== (const Matx< _Tp, m, n > &a, const Matx< _Tp, m, n > &b)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator== (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Equal comparison.
cv::GMat	operator> (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator> (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator> (const cv::GScalar &lhs, const cv::GMat &rhs)
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.
cv::GMat	operator>= (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator>= (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator>= (const cv::GScalar &lhs, const cv::GMat &rhs)
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.
template<typename _Tp >
static void	operator>> (const FileNode &n, _Tp &value)
	Reads data from a file storage.
static void	operator>> (const FileNode &n, DMatch &m)
	Reads DMatch from a file storage.
static void	operator>> (const FileNode &n, KeyPoint &kpt)
	Reads KeyPoint from a file storage.
template<typename _Tp >
static void	operator>> (const FileNode &n, std::vector< _Tp > &vec)
	Reads data from a file storage.
template<typename _Tp , int n>
v_reg< _Tp, n >	operator>> (const v_reg< _Tp, n > &a, int imm)
	Bitwise shift right.
template<typename _Tp >
static FileNodeIterator &	operator>> (FileNodeIterator &it, _Tp &value)
	Reads data from a file storage.
template<typename _Tp >
static FileNodeIterator &	operator>> (FileNodeIterator &it, std::vector< _Tp > &vec)
	Reads data from a file storage.
cv::GMat	operator^ (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator^ (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator^ (const cv::GScalar &lhs, const cv::GMat &rhs)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator^ (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Bitwise XOR.
template<typename _Tp , int n>
v_reg< _Tp, n > &	operator^= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
cv::GMat	operator| (const cv::GMat &lhs, const cv::GMat &rhs)
cv::GMat	operator| (const cv::GMat &lhs, const cv::GScalar &rhs)
cv::GMat	operator| (const cv::GScalar &lhs, const cv::GMat &rhs)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator| (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Bitwise OR.
template<typename _Tp , int n>
v_reg< _Tp, n > &	operator|= (v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
cv::GMat	operator~ (const cv::GMat &lhs)
template<typename _Tp , int n>
v_reg< _Tp, n >	operator~ (const v_reg< _Tp, n > &a)
	Bitwise NOT.
void	parallel_for_ (const Range &range, const ParallelLoopBody &body, double nstripes=-1.)
	Parallel data processor.
static void	parallel_for_ (const Range &range, std::function< void(const Range &)> functor, double nstripes=-1.)
template<typename _Tp , class _EqPredicate >
int	partition (const std::vector< _Tp > &_vec, std::vector< int > &labels, _EqPredicate predicate=_EqPredicate())
	Splits an element set into equivalency classes.
void	patchNaNs (InputOutputArray a, double val=0)
	Replaces NaNs by given number.
void	PCABackProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result)
void	PCACompute (InputArray data, InputOutputArray mean, OutputArray eigenvectors, double retainedVariance)
void	PCACompute (InputArray data, InputOutputArray mean, OutputArray eigenvectors, int maxComponents=0)
void	PCACompute (InputArray data, InputOutputArray mean, OutputArray eigenvectors, OutputArray eigenvalues, double retainedVariance)
void	PCACompute (InputArray data, InputOutputArray mean, OutputArray eigenvectors, OutputArray eigenvalues, int maxComponents=0)
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.
void	perspectiveTransform (InputArray src, OutputArray dst, InputArray m)
	Performs the perspective matrix transformation of vectors.
void	phase (InputArray x, InputArray y, OutputArray angle, bool angleInDegrees=false)
	Calculates the rotation angle of 2D vectors.
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.
double	pointPolygonTest (InputArray contour, Point2f pt, bool measureDist)
	Performs a point-in-contour test.
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.
int	pollKey ()
	Polls for a pressed key.
void	polylines (InputOutputArray 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.
softdouble	pow (const softdouble &a, const softdouble &b)
softfloat	pow (const softfloat &a, const softfloat &b)
	Raising to the power.
void	pow (InputArray src, double power, OutputArray dst)
	Raises every array element to a power.
template<typename T >
Quat< T >	power (const Quat< T > &q, const Quat< T > &p, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
template<typename T >
Quat< T >	power (const Quat< T > &q, const T x, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
void	preCornerDetect (InputArray src, OutputArray dst, int ksize, int borderType=BORDER_DEFAULT)
	Calculates a feature map for corner detection.
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.
double	PSNR (InputArray src1, InputArray src2, double R=255.)
	Computes the Peak Signal-to-Noise Ratio (PSNR) image quality metric.
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.
void	pyrDown (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
	Blurs an image and downsamples it.
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.
void	pyrUp (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
	Upsamples an image and then blurs it.
void	randn (InputOutputArray dst, InputArray mean, InputArray stddev)
	Fills the array with normally distributed random numbers.
void	randShuffle (InputOutputArray dst, double iterFactor=1., RNG *rng=0)
	Shuffles the array elements randomly.
void	randu (InputOutputArray dst, InputArray low, InputArray high)
	Generates a single uniformly-distributed random number or an array of random numbers.
template<typename _Tp >
static _InputArray	rawIn (_Tp &v)
template<typename _Tp >
static _InputOutputArray	rawInOut (_Tp &v)
template<typename _Tp >
static _OutputArray	rawOut (_Tp &v)
void	read (const FileNode &fn, optflow::GPCTree::Node &node, optflow::GPCTree::Node)
template<typename _Tp , typename std::enable_if< std::is_enum< _Tp >::value >::type * = nullptr>
static void	read (const FileNode &node, _Tp &value, const _Tp &default_value=static_cast< _Tp >(0))
static void	read (const FileNode &node, bool &value, bool default_value)
template<typename _Tp >
static void	read (const FileNode &node, Complex< _Tp > &value, const Complex< _Tp > &default_value)
void	read (const FileNode &node, DMatch &value, const DMatch &default_value)
void	read (const FileNode &node, double &value, double default_value)
void	read (const FileNode &node, float &value, float default_value)
void	read (const FileNode &node, int &value, int default_value)
void	read (const FileNode &node, KeyPoint &value, const KeyPoint &default_value)
void	read (const FileNode &node, Mat &mat, const Mat &default_mat=Mat())
template<typename _Tp , int m, int n>
static void	read (const FileNode &node, Matx< _Tp, m, n > &value, const Matx< _Tp, m, n > &default_matx=Matx< _Tp, m, n >())
template<typename _Tp >
static void	read (const FileNode &node, Point3_< _Tp > &value, const Point3_< _Tp > &default_value)
template<typename _Tp >
static void	read (const FileNode &node, Point_< _Tp > &value, const Point_< _Tp > &default_value)
static void	read (const FileNode &node, Range &value, const Range &default_value)
template<typename _Tp >
static void	read (const FileNode &node, Rect_< _Tp > &value, const Rect_< _Tp > &default_value)
template<typename _Tp >
static void	read (const FileNode &node, Scalar_< _Tp > &value, const Scalar_< _Tp > &default_value)
static void	read (const FileNode &node, schar &value, schar default_value)
static void	read (const FileNode &node, short &value, short default_value)
template<typename _Tp >
static void	read (const FileNode &node, Size_< _Tp > &value, const Size_< _Tp > &default_value)
void	read (const FileNode &node, SparseMat &mat, const SparseMat &default_mat=SparseMat())
void	read (const FileNode &node, std::string &value, const std::string &default_value)
template<typename _Tp >
static void	read (const FileNode &node, std::vector< _Tp > &vec, const std::vector< _Tp > &default_value=std::vector< _Tp >())
static void	read (const FileNode &node, std::vector< DMatch > &vec, const std::vector< DMatch > &default_value)
static void	read (const FileNode &node, std::vector< KeyPoint > &vec, const std::vector< KeyPoint > &default_value)
static void	read (const FileNode &node, uchar &value, uchar default_value)
static void	read (const FileNode &node, ushort &value, ushort default_value)
template<typename _Tp , int cn>
static void	read (const FileNode &node, Vec< _Tp, cn > &value, const Vec< _Tp, cn > &default_value)
template<typename _Tp >
static void	read (FileNodeIterator &it, std::vector< _Tp > &vec, size_t maxCount=(size_t) INT_MAX)
Mat	readOpticalFlow (const String &path)
	Read a .flo file.
int	recoverPose (InputArray E, InputArray points1, InputArray points2, InputArray cameraMatrix, OutputArray R, OutputArray t, double distanceThresh, InputOutputArray mask=noArray(), OutputArray triangulatedPoints=noArray())
int	recoverPose (InputArray E, InputArray points1, InputArray points2, InputArray cameraMatrix, OutputArray R, OutputArray t, InputOutputArray mask=noArray())
	Recovers the relative camera rotation and the translation from an estimated essential matrix and the corresponding points in two images, using chirality check. Returns the number of inliers that pass the check.
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 points1, InputArray points2, InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, OutputArray E, OutputArray R, OutputArray t, int method=cv::RANSAC, double prob=0.999, double threshold=1.0, InputOutputArray mask=noArray())
	Recovers the relative camera rotation and the translation from corresponding points in two images from two different cameras, using cheirality check. Returns the number of inliers that pass the check.
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.
void	rectangle (InputOutputArray 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.
ErrorCallback	redirectError (ErrorCallback errCallback, void *userdata=0, void **prevUserdata=0)
	Sets the new error handler and the optional user data.
void	reduce (InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1)
	Reduces a matrix to a vector.
void	reduceArgMax (InputArray src, OutputArray dst, int axis, bool lastIndex=false)
	Finds indices of max elements along provided axis.
void	reduceArgMin (InputArray src, OutputArray dst, int axis, bool lastIndex=false)
	Finds indices of min elements along provided axis.
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.
Mat	repeat (const Mat &src, int ny, int nx)
void	repeat (InputArray src, int ny, int nx, OutputArray dst)
	Fills the output array with repeated copies of the input array.
void	reprojectImageTo3D (InputArray disparity, OutputArray _3dImage, InputArray Q, bool handleMissingValues=false, int ddepth=-1)
	Reprojects a disparity image to 3D space.
void	resize (InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
	Resizes an image.
void	resizeWindow (const String &winname, const cv::Size &size)
void	resizeWindow (const String &winname, int width, int height)
	Resizes the window to the specified size.
void	Rodrigues (InputArray src, OutputArray dst, OutputArray jacobian=noArray())
	Converts a rotation matrix to a rotation vector or vice versa.
void	rotate (InputArray src, OutputArray dst, int rotateCode)
	Rotates a 2D array in multiples of 90 degrees. The function cv::rotate rotates the array in one of three different ways: Rotate by 90 degrees clockwise (rotateCode = ROTATE_90_CLOCKWISE). Rotate by 180 degrees clockwise (rotateCode = ROTATE_180). Rotate by 270 degrees clockwise (rotateCode = ROTATE_90_COUNTERCLOCKWISE).
int	rotatedRectangleIntersection (const RotatedRect &rect1, const RotatedRect &rect2, OutputArray intersectingRegion)
	Finds out if there is any intersection between two rotated rectangles.
static int	roundUp (int a, unsigned int b)
	Round first value up to the nearest multiple of second value.
static size_t	roundUp (size_t a, unsigned int b)
Vec3d	RQDecomp3x3 (InputArray src, OutputArray mtxR, OutputArray mtxQ, OutputArray Qx=noArray(), OutputArray Qy=noArray(), OutputArray Qz=noArray())
	Computes an RQ decomposition of 3x3 matrices.
double	sampsonDistance (InputArray pt1, InputArray pt2, InputArray F)
	Calculates the Sampson Distance between two points.
template<typename _Tp >
static _Tp	saturate_cast (double v)
template<typename _Tp >
static _Tp	saturate_cast (float v)
template<typename _Tp >
static _Tp	saturate_cast (hfloat v)
template<typename _Tp >
static _Tp	saturate_cast (int v)
template<typename _Tp >
static _Tp	saturate_cast (int64 v)
template<typename _Tp >
static _Tp	saturate_cast (schar v)
template<typename _Tp >
static _Tp	saturate_cast (short v)
template<typename _Tp >
static _Tp	saturate_cast (softdouble a)
template<typename _Tp >
static _Tp	saturate_cast (softfloat a)
	Saturate casts.
template<typename _Tp >
static _Tp	saturate_cast (uchar v)
	Template function for accurate conversion from one primitive type to another.
template<typename _Tp >
static _Tp	saturate_cast (uint64 v)
template<typename _Tp >
static _Tp	saturate_cast (unsigned v)
template<typename _Tp >
static _Tp	saturate_cast (ushort v)
template<>
hfloat	saturate_cast< hfloat > (double v)
template<>
hfloat	saturate_cast< hfloat > (float v)
template<>
hfloat	saturate_cast< hfloat > (int v)
template<>
hfloat	saturate_cast< hfloat > (int64 v)
template<>
hfloat	saturate_cast< hfloat > (schar v)
template<>
hfloat	saturate_cast< hfloat > (short v)
template<>
hfloat	saturate_cast< hfloat > (uchar v)
template<>
hfloat	saturate_cast< hfloat > (uint64 v)
template<>
hfloat	saturate_cast< hfloat > (unsigned v)
template<>
hfloat	saturate_cast< hfloat > (ushort v)
template<>
int64	saturate_cast< int64 > (uint64 v)
template<>
int64_t	saturate_cast< int64_t > (softdouble a)
template<>
int64_t	saturate_cast< int64_t > (softfloat a)
template<>
schar	saturate_cast< schar > (double v)
template<>
schar	saturate_cast< schar > (float v)
template<>
schar	saturate_cast< schar > (int v)
template<>
schar	saturate_cast< schar > (int64 v)
template<>
schar	saturate_cast< schar > (short v)
template<>
schar	saturate_cast< schar > (softdouble a)
template<>
schar	saturate_cast< schar > (softfloat a)
template<>
schar	saturate_cast< schar > (uchar v)
template<>
schar	saturate_cast< schar > (uint64 v)
template<>
schar	saturate_cast< schar > (unsigned v)
template<>
schar	saturate_cast< schar > (ushort v)
template<>
short	saturate_cast< short > (double v)
template<>
short	saturate_cast< short > (float v)
template<>
short	saturate_cast< short > (int v)
template<>
short	saturate_cast< short > (int64 v)
template<>
short	saturate_cast< short > (softdouble a)
template<>
short	saturate_cast< short > (softfloat a)
template<>
short	saturate_cast< short > (uint64 v)
template<>
short	saturate_cast< short > (unsigned v)
template<>
short	saturate_cast< short > (ushort v)
template<>
uchar	saturate_cast< uchar > (double v)
template<>
uchar	saturate_cast< uchar > (float v)
template<>
uchar	saturate_cast< uchar > (int v)
template<>
uchar	saturate_cast< uchar > (int64 v)
template<>
uchar	saturate_cast< uchar > (schar v)
template<>
uchar	saturate_cast< uchar > (short v)
template<>
uchar	saturate_cast< uchar > (softdouble a)
template<>
uchar	saturate_cast< uchar > (softfloat a)
template<>
uchar	saturate_cast< uchar > (uint64 v)
template<>
uchar	saturate_cast< uchar > (unsigned v)
template<>
uchar	saturate_cast< uchar > (ushort v)
template<>
uint64	saturate_cast< uint64 > (int v)
template<>
uint64	saturate_cast< uint64 > (int64 v)
template<>
uint64	saturate_cast< uint64 > (schar v)
template<>
uint64	saturate_cast< uint64 > (short v)
template<>
uint64_t	saturate_cast< uint64_t > (softdouble a)
template<>
uint64_t	saturate_cast< uint64_t > (softfloat a)
template<>
unsigned	saturate_cast< unsigned > (double v)
template<>
unsigned	saturate_cast< unsigned > (float v)
template<>
unsigned	saturate_cast< unsigned > (int v)
template<>
unsigned	saturate_cast< unsigned > (int64 v)
template<>
unsigned	saturate_cast< unsigned > (schar v)
template<>
unsigned	saturate_cast< unsigned > (short v)
template<>
unsigned	saturate_cast< unsigned > (softdouble a)
template<>
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.
template<>
unsigned	saturate_cast< unsigned > (uint64 v)
template<>
ushort	saturate_cast< ushort > (double v)
template<>
ushort	saturate_cast< ushort > (float v)
template<>
ushort	saturate_cast< ushort > (int v)
template<>
ushort	saturate_cast< ushort > (int64 v)
template<>
ushort	saturate_cast< ushort > (schar v)
template<>
ushort	saturate_cast< ushort > (short v)
template<>
ushort	saturate_cast< ushort > (softdouble a)
template<>
ushort	saturate_cast< ushort > (softfloat a)
template<>
ushort	saturate_cast< ushort > (uint64 v)
template<>
ushort	saturate_cast< ushort > (unsigned v)
void	saveWindowParameters (const String &windowName)
	Saves parameters of the specified window.
void	scaleAdd (InputArray src1, double alpha, InputArray src2, OutputArray dst)
	Calculates the sum of a scaled array and another array.
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.
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 [214] .
Rect	selectROI (const String &windowName, InputArray img, bool showCrosshair=true, bool fromCenter=false, bool printNotice=true)
	Allows users to select a ROI on the given image.
Rect	selectROI (InputArray img, bool showCrosshair=true, bool fromCenter=false, bool printNotice=true)
void	selectROIs (const String &windowName, InputArray img, std::vector< Rect > &boundingBoxes, bool showCrosshair=true, bool fromCenter=false, bool printNotice=true)
	Allows users to select multiple ROIs on the given image.
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.
bool	setBreakOnError (bool flag)
	Sets/resets the break-on-error mode.
void	setIdentity (InputOutputArray mtx, const Scalar &s=Scalar(1))
	Initializes a scaled identity matrix.
void	setMouseCallback (const String &winname, MouseCallback onMouse, void *userdata=0)
	Sets mouse handler for the specified window.
void	setNumThreads (int nthreads)
	OpenCV will try to set the number of threads for subsequent parallel regions.
void	setOpenGlContext (const String &winname)
	Sets the specified window as current OpenGL context.
void	setOpenGlDrawCallback (const String &winname, OpenGlDrawCallback onOpenGlDraw, void *userdata=0)
	Sets a callback function to be called to draw on top of displayed image.
void	setRNGSeed (int seed)
	Sets state of default random number generator.
void	setTrackbarMax (const String &trackbarname, const String &winname, int maxval)
	Sets the trackbar maximum position.
void	setTrackbarMin (const String &trackbarname, const String &winname, int minval)
	Sets the trackbar minimum position.
void	setTrackbarPos (const String &trackbarname, const String &winname, int pos)
	Sets the trackbar position.
void	setUseOpenVX (bool flag)
	Enable/disable use of OpenVX.
void	setUseOptimized (bool onoff)
	Enables or disables the optimized code.
void	setWindowProperty (const String &winname, int prop_id, double prop_value)
	Changes parameters of a window dynamically.
void	setWindowTitle (const String &winname, const String &title)
	Updates window title.
template<typename T >
Quat< T >	sin (const Quat< T > &q)
softdouble	sin (const softdouble &a)
	Sine.
template<typename T >
Quat< T >	sinh (const Quat< T > &q)
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.
bool	solve (InputArray src1, InputArray src2, OutputArray dst, int flags=DECOMP_LU)
	Solves one or more linear systems or least-squares problems.
int	solveCubic (InputArray coeffs, OutputArray roots)
	Finds the real roots of a cubic equation.
int	solveLP (InputArray Func, InputArray Constr, OutputArray z)
int	solveLP (InputArray Func, InputArray Constr, OutputArray z, double constr_eps)
	Solve given (non-integer) linear programming problem using the Simplex Algorithm (Simplex Method).
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.
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.
int	solvePnPGeneric (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, bool useExtrinsicGuess=false, SolvePnPMethod flags=SOLVEPNP_ITERATIVE, InputArray rvec=noArray(), InputArray tvec=noArray(), OutputArray reprojectionError=noArray())
	Finds an object pose from 3D-2D point correspondences.
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.
bool	solvePnPRansac (InputArray objectPoints, InputArray imagePoints, InputOutputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, OutputArray inliers, const UsacParams &params=UsacParams())
void	solvePnPRefineLM (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec, InputOutputArray tvec, TermCriteria criteria=TermCriteria(TermCriteria::EPS+TermCriteria::COUNT, 20, FLT_EPSILON))
	Refine a pose (the translation and the rotation that transform a 3D point expressed in the object coordinate frame to the camera coordinate frame) from a 3D-2D point correspondences and starting from an initial solution.
void	solvePnPRefineVVS (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec, InputOutputArray tvec, TermCriteria criteria=TermCriteria(TermCriteria::EPS+TermCriteria::COUNT, 20, FLT_EPSILON), double VVSlambda=1)
	Refine a pose (the translation and the rotation that transform a 3D point expressed in the object coordinate frame to the camera coordinate frame) from a 3D-2D point correspondences and starting from an initial solution.
double	solvePoly (InputArray coeffs, OutputArray roots, int maxIters=300)
	Finds the real or complex roots of a polynomial equation.
void	sort (InputArray src, OutputArray dst, int flags)
	Sorts each row or each column of a matrix.
void	sortIdx (InputArray src, OutputArray dst, int flags)
	Sorts each row or each column of a matrix.
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.
void	split (const Mat &src, Mat *mvbegin)
	Divides a multi-channel array into several single-channel arrays.
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.
template<typename S >
Quat< S >	sqrt (const Quat< S > &q, QuatAssumeType assumeUnit=QUAT_ASSUME_NOT_UNIT)
softdouble	sqrt (const softdouble &a)
softfloat	sqrt (const softfloat &a)
	Square root.
void	sqrt (InputArray src, OutputArray dst)
	Calculates a square root of array elements.
void	stackBlur (InputArray src, OutputArray dst, Size ksize)
	Blurs an image using the stackBlur.
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, InputOutputArray R, InputOutputArray T, OutputArray E, OutputArray F, OutputArray perViewErrors, int flags=CALIB_FIX_INTRINSIC, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 1e-6))
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
double	stereoCalibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray cameraMatrix1, InputOutputArray distCoeffs1, InputOutputArray cameraMatrix2, InputOutputArray distCoeffs2, Size imageSize, InputOutputArray R, InputOutputArray T, OutputArray E, OutputArray F, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, OutputArray perViewErrors, int flags=CALIB_FIX_INTRINSIC, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 1e-6))
	Calibrates a stereo camera set up. This function finds the intrinsic parameters for each of the two cameras and the extrinsic parameters between the two cameras.
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))
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
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.
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.
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.
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.
Scalar	sum (InputArray src)
	Calculates the sum of array elements.
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.
void	swap (UMat &a, UMat &b)
template<typename T >
Quat< T >	tan (const Quat< T > &q)
template<typename T >
Quat< T >	tanh (const Quat< T > &q)
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.
RNG &	theRNG ()
	Returns the default random number generator.
double	threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type)
	Applies a fixed-level threshold to each array element.
template<typename T >
std::vector< T >	to_own (const cv::MatSize &sz)
cv::gapi::own::Mat	to_own (Mat &&)=delete
cv::gapi::own::Mat	to_own (Mat const &m)
static std::string	toLowerCase (const std::string &str)
static std::string	toUpperCase (const std::string &str)
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.
void	transform (InputArray src, OutputArray dst, InputArray m)
	Performs the matrix transformation of every array element.
void	transpose (InputArray src, OutputArray dst)
	Transposes a matrix.
void	transposeND (InputArray src, const std::vector< int > &order, OutputArray dst)
	Transpose for n-dimensional matrices.
void	triangulatePoints (InputArray projMatr1, InputArray projMatr2, InputArray projPoints1, InputArray projPoints2, OutputArray points4D)
	This function reconstructs 3-dimensional points (in homogeneous coordinates) by using their observations with a stereo camera.
String	typeToString (int type)
void	undistort (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray newCameraMatrix=noArray())
	Transforms an image to compensate for lens distortion.
void	undistortImagePoints (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, TermCriteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 0.01))
	Compute undistorted image points position.
void	undistortPoints (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray R, InputArray P, TermCriteria criteria)
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.
void	updateWindow (const String &winname)
	Force window to redraw its context and call draw callback ( See cv::setOpenGlDrawCallback ).
bool	useOpenVX ()
	Check if use of OpenVX is enabled.
bool	useOptimized ()
	Returns the status of optimized code usage.
void	v256_cleanup ()
template<typename _Tp >
v_reg< _Tp, simd256_width/sizeof(_Tp)>	v256_load (const _Tp *ptr)
	Load 256-bit length register contents from memory.
template<typename _Tp >
v_reg< _Tp, simd256_width/sizeof(_Tp)>	v256_load_aligned (const _Tp *ptr)
	Load register contents from memory (aligned)
template<typename _Tp >
v_reg< typename V_TypeTraits< _Tp >::w_type, simd256_width/sizeof(typename V_TypeTraits< _Tp >::w_type)>	v256_load_expand (const _Tp *ptr)
	Load register contents from memory with double expand.
v_reg< float, simd256_width/sizeof(float)>	v256_load_expand (const hfloat *ptr)
template<typename _Tp >
v_reg< typename V_TypeTraits< _Tp >::q_type, simd256_width/sizeof(typename V_TypeTraits< _Tp >::q_type)>	v256_load_expand_q (const _Tp *ptr)
	Load register contents from memory with quad expand.
template<typename _Tp >
v_reg< _Tp, simd256_width/sizeof(_Tp)>	v256_load_halves (const _Tp *loptr, const _Tp *hiptr)
	Load register contents from two memory blocks.
template<typename _Tp >
v_reg< _Tp, simd256_width/sizeof(_Tp)>	v256_load_low (const _Tp *ptr)
	Load 128-bits of data to lower part (high part is undefined).
void	v512_cleanup ()
template<typename _Tp >
v_reg< _Tp, simd512_width/sizeof(_Tp)>	v512_load (const _Tp *ptr)
	Load 512-bit length register contents from memory.
template<typename _Tp >
v_reg< _Tp, simd512_width/sizeof(_Tp)>	v512_load_aligned (const _Tp *ptr)
	Load register contents from memory (aligned)
template<typename _Tp >
v_reg< typename V_TypeTraits< _Tp >::w_type, simd512_width/sizeof(typename V_TypeTraits< _Tp >::w_type)>	v512_load_expand (const _Tp *ptr)
	Load register contents from memory with double expand.
v_reg< float, simd512_width/sizeof(float)>	v512_load_expand (const hfloat *ptr)
template<typename _Tp >
v_reg< typename V_TypeTraits< _Tp >::q_type, simd512_width/sizeof(typename V_TypeTraits< _Tp >::q_type)>	v512_load_expand_q (const _Tp *ptr)
	Load register contents from memory with quad expand.
template<typename _Tp >
v_reg< _Tp, simd512_width/sizeof(_Tp)>	v512_load_halves (const _Tp *loptr, const _Tp *hiptr)
	Load register contents from two memory blocks.
template<typename _Tp >
v_reg< _Tp, simd512_width/sizeof(_Tp)>	v512_load_low (const _Tp *ptr)
	Load 256-bits of data to lower part (high part is undefined).
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.
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.
template<int n>
v_reg< double, n >	v_absdiff (const v_reg< double, n > &a, const v_reg< double, n > &b)
template<int n>
v_reg< float, n >	v_absdiff (const v_reg< float, n > &a, const v_reg< float, n > &b)
template<typename _Tp , int n>
v_reg< _Tp, n >	v_absdiffs (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Saturating absolute difference.
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.
template<int i, typename _Tp , int n>
v_reg< _Tp, n >	v_broadcast_element (const v_reg< _Tp, n > &a)
	Broadcast i-th element of vector.
template<int n>
v_reg< int, n *2 >	v_ceil (const v_reg< double, n > &a)
template<int n>
v_reg< int, n >	v_ceil (const v_reg< float, n > &a)
	Ceil elements.
template<typename _Tp , int n>
bool	v_check_all (const v_reg< _Tp, n > &a)
	Check if all packed values are less than zero.
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.
void	v_cleanup ()
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.
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.
template<int n>
v_reg< float, n *2 >	v_cvt_f32 (const v_reg< double, n > &a)
	Convert lower half to float.
template<int n>
v_reg< float, n *2 >	v_cvt_f32 (const v_reg< double, n > &a, const v_reg< double, n > &b)
	Convert to float.
template<int n>
v_reg< float, n >	v_cvt_f32 (const v_reg< int, n > &a)
	Convert to float.
template<int n>
v_reg< double,(n/2)>	v_cvt_f64 (const v_reg< float, n > &a)
	Convert lower half to double.
template<int n>
v_reg< double, n/2 >	v_cvt_f64 (const v_reg< int, n > &a)
	Convert lower half to double.
template<int n>
v_reg< double, n >	v_cvt_f64 (const v_reg< int64, n > &a)
	Convert to double.
template<int n>
v_reg< double,(n/2)>	v_cvt_f64_high (const v_reg< float, n > &a)
	Convert to double high part of vector.
template<int n>
v_reg< double,(n/2)>	v_cvt_f64_high (const v_reg< int, n > &a)
	Convert to double high part of vector.
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.
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, const v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > &c)
	Dot product of elements.
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::q_type, n/4 >	v_dotprod_expand (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Dot product of elements and expand.
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::q_type, n/4 >	v_dotprod_expand (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< typename V_TypeTraits< _Tp >::q_type, n/4 > &c)
	Dot product of elements.
template<int n>
v_reg< double, n/2 >	v_dotprod_expand (const v_reg< int, n > &a, const v_reg< int, n > &b)
template<int n>
v_reg< double, n/2 >	v_dotprod_expand (const v_reg< int, n > &a, const v_reg< int, n > &b, const v_reg< double, n/2 > &c)
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::q_type, n/4 >	v_dotprod_expand_fast (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Fast Dot product of elements and expand.
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::q_type, n/4 >	v_dotprod_expand_fast (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< typename V_TypeTraits< _Tp >::q_type, n/4 > &c)
	Fast Dot product of elements.
template<int n>
v_reg< double, n/2 >	v_dotprod_expand_fast (const v_reg< int, n > &a, const v_reg< int, n > &b)
template<int n>
v_reg< double, n/2 >	v_dotprod_expand_fast (const v_reg< int, n > &a, const v_reg< int, n > &b, const v_reg< double, n/2 > &c)
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 >	v_dotprod_fast (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Fast Dot product of elements.
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 >	v_dotprod_fast (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 > &c)
	Fast Dot product of elements.
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.
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 >	v_expand_high (const v_reg< _Tp, n > &a)
	Expand higher values to the wider pack type.
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::w_type, n/2 >	v_expand_low (const v_reg< _Tp, n > &a)
	Expand lower values to the wider pack type.
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.
template<int s, typename _Tp , int n>
_Tp	v_extract_n (const v_reg< _Tp, n > &v)
	Vector extract.
template<int n>
v_reg< int, n *2 >	v_floor (const v_reg< double, n > &a)
template<int n>
v_reg< int, n >	v_floor (const v_reg< float, n > &a)
	Floor elements.
template<typename _Tp , int n>
v_reg< _Tp, n >	v_fma (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, const v_reg< _Tp, n > &c)
	Multiply and add.
template<typename _Tp , int n>
v_reg< _Tp, n >	v_interleave_pairs (const v_reg< _Tp, n > &vec)
template<typename _Tp , int n>
v_reg< _Tp, n >	v_interleave_quads (const v_reg< _Tp, n > &vec)
template<typename _Tp , int n>
v_reg< _Tp, n >	v_invsqrt (const v_reg< _Tp, n > &a)
	Inversed square root.
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_load (const _Tp *ptr)
	Load register contents from memory.
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_load_aligned (const _Tp *ptr)
	Load register contents from memory (aligned)
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)
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)
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)
template<typename _Tp >
v_reg< typename V_TypeTraits< _Tp >::w_type, simd128_width/sizeof(typename V_TypeTraits< _Tp >::w_type)>	v_load_expand (const _Tp *ptr)
	Load register contents from memory with double expand.
v_reg< float, simd128_width/sizeof(float)>	v_load_expand (const hfloat *ptr)
template<typename _Tp >
v_reg< typename V_TypeTraits< _Tp >::q_type, simd128_width/sizeof(typename V_TypeTraits< _Tp >::q_type)>	v_load_expand_q (const _Tp *ptr)
	Load register contents from memory with quad expand.
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_load_halves (const _Tp *loptr, const _Tp *hiptr)
	Load register contents from two memory blocks.
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_load_low (const _Tp *ptr)
	Load 64-bits of data to lower part (high part is undefined).
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_lut (const _Tp *tab, const int *idx)
template<int n>
v_reg< double, n/2 >	v_lut (const double *tab, const v_reg< int, n > &idx)
template<int n>
v_reg< float, n >	v_lut (const float *tab, const v_reg< int, n > &idx)
template<int n>
v_reg< int, n >	v_lut (const int *tab, const v_reg< int, n > &idx)
template<int n>
v_reg< unsigned, n >	v_lut (const unsigned *tab, const v_reg< int, n > &idx)
template<int n>
void	v_lut_deinterleave (const double *tab, const v_reg< int, n *2 > &idx, v_reg< double, n > &x, v_reg< double, n > &y)
template<int n>
void	v_lut_deinterleave (const float *tab, const v_reg< int, n > &idx, v_reg< float, n > &x, v_reg< float, n > &y)
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_lut_pairs (const _Tp *tab, const int *idx)
template<typename _Tp >
v_reg< _Tp, simd128_width/sizeof(_Tp)>	v_lut_quads (const _Tp *tab, const int *idx)
template<typename _Tp , int n>
v_reg< _Tp, n >	v_magnitude (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Magnitude.
template<int n>
v_reg< float, n >	v_matmul (const v_reg< float, n > &v, const v_reg< float, n > &a, const v_reg< float, n > &b, const v_reg< float, n > &c, const v_reg< float, n > &d)
	Matrix multiplication.
template<int n>
v_reg< float, n >	v_matmuladd (const v_reg< float, n > &v, const v_reg< float, n > &a, const v_reg< float, n > &b, const v_reg< float, n > &c, const v_reg< float, n > &d)
	Matrix multiplication and add.
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.
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.
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.
template<typename _Tp , int n>
v_reg< _Tp, n >	v_mul_hi (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Multiply and extract high part.
template<typename _Tp , int n>
v_reg< _Tp, n >	v_mul_wrap (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Multiply values without saturation.
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)
	A synonym for v_fma.
template<int n>
v_reg< double, n >	v_not_nan (const v_reg< double, n > &a)
template<int n>
v_reg< float, n >	v_not_nan (const v_reg< float, n > &a)
template<int n>
void	v_pack_store (hfloat *ptr, const v_reg< float, n > &v)
template<typename _Tp , int n>
v_reg< _Tp, n >	v_pack_triplets (const v_reg< _Tp, n > &vec)
template<typename _Tp , int n>
v_reg< typename V_TypeTraits< _Tp >::abs_type, n >	v_popcount (const v_reg< _Tp, n > &a)
	Count the 1 bits in the vector lanes and return result as corresponding unsigned type.
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.
template<typename _Tp , int n>
_Tp	v_reduce_max (const v_reg< _Tp, n > &a)
	Find one max value.
template<typename _Tp , int n>
_Tp	v_reduce_min (const v_reg< _Tp, n > &a)
	Find one min value.
template<typename _Tp , int n>
V_TypeTraits< typenameV_TypeTraits< _Tp >::abs_type >::sum_type	v_reduce_sad (const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b)
	Sum absolute differences of values.
template<typename _Tp , int n>
V_TypeTraits< _Tp >::sum_type	v_reduce_sum (const v_reg< _Tp, n > &a)
	Sum packed values.
template<int n>
v_reg< float, n >	v_reduce_sum4 (const v_reg< float, n > &a, const v_reg< float, n > &b, const v_reg< float, n > &c, const v_reg< float, n > &d)
	Sums all elements of each input vector, returns the vector of sums.
template<typename _Tp , int n>
v_reg< _Tp, n >	v_reverse (const v_reg< _Tp, n > &a)
	Vector reverse order.
template<int imm, typename _Tp , int n>
v_reg< _Tp, n >	v_rotate_left (const v_reg< _Tp, n > &a)
	Element shift left among vector.
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_right (const v_reg< _Tp, n > &a)
	Element shift right among vector.
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<int n>
v_reg< int, n *2 >	v_round (const v_reg< double, n > &a)
template<int n>
v_reg< int, n *2 >	v_round (const v_reg< double, n > &a, const v_reg< double, n > &b)
template<int n>
v_reg< int, n >	v_round (const v_reg< float, n > &a)
	Round elements.
template<typename _Tp , int n>
int	v_scan_forward (const v_reg< _Tp, n > &a)
	Get first negative lane index.
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)
	Per-element select (blend operation)
template<typename _Tp , int n>
int	v_signmask (const v_reg< _Tp, n > &a)
	Get negative values mask.
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.
template<typename _Tp , int n>
v_reg< _Tp, n >	v_sqrt (const v_reg< _Tp, n > &a)
	Square root of elements.
template<typename _Tp , int n>
void	v_store (_Tp *ptr, const v_reg< _Tp, n > &a)
	Store data to memory.
template<typename _Tp , int n>
void	v_store (_Tp *ptr, const v_reg< _Tp, n > &a, hal::StoreMode)
template<typename _Tp , int n>
void	v_store_aligned (_Tp *ptr, const v_reg< _Tp, n > &a)
	Store data to memory (aligned)
template<typename _Tp , int n>
void	v_store_aligned (_Tp *ptr, const v_reg< _Tp, n > &a, hal::StoreMode)
template<typename _Tp , int n>
void	v_store_aligned_nocache (_Tp *ptr, const v_reg< _Tp, n > &a)
template<typename _Tp , int n>
void	v_store_high (_Tp *ptr, const v_reg< _Tp, n > &a)
	Store data to memory (higher half)
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, hal::StoreMode=hal::STORE_UNALIGNED)
	Interleave and store (4 channels)
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, hal::StoreMode=hal::STORE_UNALIGNED)
	Interleave and store (3 channels)
template<typename _Tp , int n>
void	v_store_interleave (_Tp *ptr, const v_reg< _Tp, n > &a, const v_reg< _Tp, n > &b, hal::StoreMode=hal::STORE_UNALIGNED)
	Interleave and store (2 channels)
template<typename _Tp , int n>
void	v_store_low (_Tp *ptr, const v_reg< _Tp, n > &a)
	Store data to memory (lower half)
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.
template<typename _Tp , int n>
void	v_transpose4x4 (v_reg< _Tp, n > &a0, const v_reg< _Tp, n > &a1, const v_reg< _Tp, n > &a2, const v_reg< _Tp, n > &a3, v_reg< _Tp, n > &b0, v_reg< _Tp, n > &b1, v_reg< _Tp, n > &b2, v_reg< _Tp, n > &b3)
	Transpose 4x4 matrix.
template<int n>
v_reg< int, n *2 >	v_trunc (const v_reg< double, n > &a)
template<int n>
v_reg< int, n >	v_trunc (const v_reg< float, n > &a)
	Truncate elements.
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.
void	validate_input_arg (const GRunArg &arg)
void	validate_input_args (const GRunArgs &args)
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
GRunArg	value_of (const GOrigin &origin)
void	vconcat (const Mat *src, size_t nsrc, OutputArray dst)
	Applies vertical concatenation to given matrices.
void	vconcat (InputArray src1, InputArray src2, OutputArray dst)
void	vconcat (InputArrayOfArrays src, OutputArray dst)
int	waitKey (int delay=0)
	Waits for a pressed key.
int	waitKeyEx (int delay=0)
	Similar to waitKey, but returns full key code.
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.
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.
void	warpPolar (InputArray src, OutputArray dst, Size dsize, Point2f center, double maxRadius, int flags)
	Remaps an image to polar or semilog-polar coordinates space.
void	watershed (InputArray image, InputOutputArray markers)
	Performs a marker-based image segmentation using the watershed algorithm.
void	winrt_imshow ()
void	winrt_initContainer (::Windows::UI::Xaml::Controls::Panel^ container)
	Initializes container component that will be used to hold generated window content.
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())
template<typename _Tp >
static void	write (FileStorage &fs, const _Tp &value)
template<typename _Tp >
static void	write (FileStorage &fs, const Complex< _Tp > &c)
template<>
void	write (FileStorage &fs, const double &value)
template<>
void	write (FileStorage &fs, const float &value)
template<>
void	write (FileStorage &fs, const int &value)
template<typename _Tp , int m, int n>
static void	write (FileStorage &fs, const Matx< _Tp, m, n > &x)
template<typename _Tp >
static void	write (FileStorage &fs, const Point3_< _Tp > &pt)
template<typename _Tp >
static void	write (FileStorage &fs, const Point_< _Tp > &pt)
static void	write (FileStorage &fs, const Range &r)
template<typename _Tp >
static void	write (FileStorage &fs, const Rect_< _Tp > &r)
template<typename _Tp >
static void	write (FileStorage &fs, const Scalar_< _Tp > &s)
template<typename _Tp >
static void	write (FileStorage &fs, const Size_< _Tp > &sz)
template<typename _Tp >
static void	write (FileStorage &fs, const std::vector< _Tp > &vec)
template<typename _Tp , typename std::enable_if< std::is_enum< _Tp >::value >::type * = nullptr>
static void	write (FileStorage &fs, const String &name, const _Tp &val)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const Complex< _Tp > &c)
static void	write (FileStorage &fs, const String &name, const DMatch &m)
static void	write (FileStorage &fs, const String &name, const KeyPoint &kpt)
void	write (FileStorage &fs, const String &name, const Mat &value)
template<typename _Tp , int m, int n>
static void	write (FileStorage &fs, const String &name, const Matx< _Tp, m, n > &x)
void	write (FileStorage &fs, const String &name, const optflow::GPCTree::Node &node)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const Point3_< _Tp > &pt)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const Point_< _Tp > &pt)
static void	write (FileStorage &fs, const String &name, const Range &r)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const Rect_< _Tp > &r)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const Scalar_< _Tp > &s)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const Size_< _Tp > &sz)
void	write (FileStorage &fs, const String &name, const SparseMat &value)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const std::vector< _Tp > &vec)
template<typename _Tp >
static void	write (FileStorage &fs, const String &name, const std::vector< std::vector< _Tp > > &vec)
void	write (FileStorage &fs, const String &name, const String &value)
template<typename _Tp , int cn>
static void	write (FileStorage &fs, const String &name, const Vec< _Tp, cn > &v)
void	write (FileStorage &fs, const String &name, double value)
void	write (FileStorage &fs, const String &name, float value)
void	write (FileStorage &fs, const String &name, int value)
template<>
void	write (FileStorage &fs, const String &value)
template<typename _Tp , int cn>
static void	write (FileStorage &fs, const Vec< _Tp, cn > &v)
bool	writeOpticalFlow (const String &path, InputArray flow)
	Write a .flo to disk.
void	writeScalar (FileStorage &fs, const String &value)
void	writeScalar (FileStorage &fs, double value)
void	writeScalar (FileStorage &fs, float value)
void	writeScalar (FileStorage &fs, int value)
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 ()
v_uint8x32	v256_setzero_u8 ()
v_int8x32	v256_setzero_s8 ()
v_uint16x16	v256_setzero_u16 ()
v_int16x16	v256_setzero_s16 ()
v_uint32x8	v256_setzero_u32 ()
v_int32x8	v256_setzero_s32 ()
v_float32x8	v256_setzero_f32 ()
v_float64x4	v256_setzero_f64 ()
v_uint64x4	v256_setzero_u64 ()
v_int64x4	v256_setzero_s64 ()
v_uint8x64	v512_setzero_u8 ()
v_int8x64	v512_setzero_s8 ()
v_uint16x32	v512_setzero_u16 ()
v_int16x32	v512_setzero_s16 ()
v_uint32x16	v512_setzero_u32 ()
v_int32x16	v512_setzero_s32 ()
v_float32x16	v512_setzero_f32 ()
v_float64x8	v512_setzero_f64 ()
v_uint64x8	v512_setzero_u64 ()
v_int64x8	v512_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)
v_uint8x32	v256_setall_u8 (uchar val)
v_int8x32	v256_setall_s8 (schar val)
v_uint16x16	v256_setall_u16 (ushort val)
v_int16x16	v256_setall_s16 (short val)
v_uint32x8	v256_setall_u32 (unsigned val)
v_int32x8	v256_setall_s32 (int val)
v_float32x8	v256_setall_f32 (float val)
v_float64x4	v256_setall_f64 (double val)
v_uint64x4	v256_setall_u64 (uint64 val)
v_int64x4	v256_setall_s64 (int64 val)
v_uint8x64	v512_setall_u8 (uchar val)
v_int8x64	v512_setall_s8 (schar val)
v_uint16x32	v512_setall_u16 (ushort val)
v_int16x32	v512_setall_s16 (short val)
v_uint32x16	v512_setall_u32 (unsigned val)
v_int32x16	v512_setall_s32 (int val)
v_float32x16	v512_setall_f32 (float val)
v_float64x8	v512_setall_f64 (double val)
v_uint64x8	v512_setall_u64 (uint64 val)
v_int64x8	v512_setall_s64 (int64 val)
Reinterpret
Convert vector to different type without modifying underlying data.
template<typename _Tp0 , int n0>
v_reg< uchar, n0 *sizeof(_Tp0)/sizeof(uchar)>	v_reinterpret_as_u8 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< schar, n0 *sizeof(_Tp0)/sizeof(schar)>	v_reinterpret_as_s8 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< ushort, n0 *sizeof(_Tp0)/sizeof(ushort)>	v_reinterpret_as_u16 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< short, n0 *sizeof(_Tp0)/sizeof(short)>	v_reinterpret_as_s16 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< unsigned, n0 *sizeof(_Tp0)/sizeof(unsigned)>	v_reinterpret_as_u32 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< int, n0 *sizeof(_Tp0)/sizeof(int)>	v_reinterpret_as_s32 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< float, n0 *sizeof(_Tp0)/sizeof(float)>	v_reinterpret_as_f32 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< double, n0 *sizeof(_Tp0)/sizeof(double)>	v_reinterpret_as_f64 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< uint64, n0 *sizeof(_Tp0)/sizeof(uint64)>	v_reinterpret_as_u64 (const v_reg< _Tp0, n0 > &a)
template<typename _Tp0 , int n0>
v_reg< int64, n0 *sizeof(_Tp0)/sizeof(int64)>	v_reinterpret_as_s64 (const v_reg< _Tp0, n0 > &a)
Left shift
Shift left
template<int shift, int n>
v_reg< ushort, n >	v_shl (const v_reg< ushort, n > &a)
template<int shift, int n>
v_reg< short, n >	v_shl (const v_reg< short, n > &a)
template<int shift, int n>
v_reg< unsigned, n >	v_shl (const v_reg< unsigned, n > &a)
template<int shift, int n>
v_reg< int, n >	v_shl (const v_reg< int, n > &a)
template<int shift, int n>
v_reg< uint64, n >	v_shl (const v_reg< uint64, n > &a)
template<int shift, int n>
v_reg< int64, n >	v_shl (const v_reg< int64, n > &a)
Right shift
Shift right
template<int shift, int n>
v_reg< ushort, n >	v_shr (const v_reg< ushort, n > &a)
template<int shift, int n>
v_reg< short, n >	v_shr (const v_reg< short, n > &a)
template<int shift, int n>
v_reg< unsigned, n >	v_shr (const v_reg< unsigned, n > &a)
template<int shift, int n>
v_reg< int, n >	v_shr (const v_reg< int, n > &a)
template<int shift, int n>
v_reg< uint64, n >	v_shr (const v_reg< uint64, n > &a)
template<int shift, int n>
v_reg< int64, n >	v_shr (const v_reg< int64, n > &a)
Rounding shift
Rounding shift right
template<int shift, int n>
v_reg< ushort, n >	v_rshr (const v_reg< ushort, n > &a)
template<int shift, int n>
v_reg< short, n >	v_rshr (const v_reg< short, n > &a)
template<int shift, int n>
v_reg< unsigned, n >	v_rshr (const v_reg< unsigned, n > &a)
template<int shift, int n>
v_reg< int, n >	v_rshr (const v_reg< int, n > &a)
template<int shift, int n>
v_reg< uint64, n >	v_rshr (const v_reg< uint64, n > &a)
template<int shift, int n>
v_reg< int64, n >	v_rshr (const v_reg< int64, n > &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. pack: for 16-, 32- and 64-bit integer input types pack_u: for 16- and 32-bit signed integer input types Note All variants except 64-bit use saturation.
template<int n>
v_reg< uchar, 2 *n >	v_pack (const v_reg< ushort, n > &a, const v_reg< ushort, n > &b)
template<int n>
v_reg< schar, 2 *n >	v_pack (const v_reg< short, n > &a, const v_reg< short, n > &b)
template<int n>
v_reg< ushort, 2 *n >	v_pack (const v_reg< unsigned, n > &a, const v_reg< unsigned, n > &b)
template<int n>
v_reg< short, 2 *n >	v_pack (const v_reg< int, n > &a, const v_reg< int, n > &b)
template<int n>
v_reg< unsigned, 2 *n >	v_pack (const v_reg< uint64, n > &a, const v_reg< uint64, n > &b)
template<int n>
v_reg< int, 2 *n >	v_pack (const v_reg< int64, n > &a, const v_reg< int64, n > &b)
template<int n>
v_reg< uchar, 2 *n >	v_pack_u (const v_reg< short, n > &a, const v_reg< short, n > &b)
template<int n>
v_reg< ushort, 2 *n >	v_pack_u (const v_reg< int, n > &a, const v_reg< int, n > &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. pack: for 16-, 32- and 64-bit integer input types pack_u: for 16- and 32-bit signed integer input types Note All variants except 64-bit use saturation.
template<int shift, int n>
v_reg< uchar, 2 *n >	v_rshr_pack (const v_reg< ushort, n > &a, const v_reg< ushort, n > &b)
template<int shift, int n>
v_reg< schar, 2 *n >	v_rshr_pack (const v_reg< short, n > &a, const v_reg< short, n > &b)
template<int shift, int n>
v_reg< ushort, 2 *n >	v_rshr_pack (const v_reg< unsigned, n > &a, const v_reg< unsigned, n > &b)
template<int shift, int n>
v_reg< short, 2 *n >	v_rshr_pack (const v_reg< int, n > &a, const v_reg< int, n > &b)
template<int shift, int n>
v_reg< unsigned, 2 *n >	v_rshr_pack (const v_reg< uint64, n > &a, const v_reg< uint64, n > &b)
template<int shift, int n>
v_reg< int, 2 *n >	v_rshr_pack (const v_reg< int64, n > &a, const v_reg< int64, n > &b)
template<int shift, int n>
v_reg< uchar, 2 *n >	v_rshr_pack_u (const v_reg< short, n > &a, const v_reg< short, n > &b)
template<int shift, int n>
v_reg< ushort, 2 *n >	v_rshr_pack_u (const v_reg< int, n > &a, const v_reg< int, n > &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. pack: for 16-, 32- and 64-bit integer input types pack_u: for 16- and 32-bit signed integer input types Note All variants except 64-bit use saturation.
template<int n>
void	v_pack_store (uchar *ptr, const v_reg< ushort, n > &a)
template<int n>
void	v_pack_store (schar *ptr, const v_reg< short, n > &a)
template<int n>
void	v_pack_store (ushort *ptr, const v_reg< unsigned, n > &a)
template<int n>
void	v_pack_store (short *ptr, const v_reg< int, n > &a)
template<int n>
void	v_pack_store (unsigned *ptr, const v_reg< uint64, n > &a)
template<int n>
void	v_pack_store (int *ptr, const v_reg< int64, n > &a)
template<int n>
void	v_pack_u_store (uchar *ptr, const v_reg< short, n > &a)
template<int n>
void	v_pack_u_store (ushort *ptr, const v_reg< int, n > &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. pack: for 16-, 32- and 64-bit integer input types pack_u: for 16- and 32-bit signed integer input types Note All variants except 64-bit use saturation.
template<int shift, int n>
void	v_rshr_pack_store (uchar *ptr, const v_reg< ushort, n > &a)
template<int shift, int n>
void	v_rshr_pack_store (schar *ptr, const v_reg< short, n > &a)
template<int shift, int n>
void	v_rshr_pack_store (ushort *ptr, const v_reg< unsigned, n > &a)
template<int shift, int n>
void	v_rshr_pack_store (short *ptr, const v_reg< int, n > &a)
template<int shift, int n>
void	v_rshr_pack_store (unsigned *ptr, const v_reg< uint64, n > &a)
template<int shift, int n>
void	v_rshr_pack_store (int *ptr, const v_reg< int64, n > &a)
template<int shift, int n>
void	v_rshr_pack_u_store (uchar *ptr, const v_reg< short, n > &a)
template<int shift, int n>
void	v_rshr_pack_u_store (ushort *ptr, const v_reg< int, n > &a)
Pack boolean values
Pack boolean values from multiple vectors to one unsigned 8-bit integer vector Note Must provide valid boolean values to guarantee same result for all architectures.
template<int n>
v_reg< uchar, 2 *n >	v_pack_b (const v_reg< ushort, n > &a, const v_reg< ushort, n > &b)
	! For 16-bit boolean values
template<int n>
v_reg< uchar, 4 *n >	v_pack_b (const v_reg< unsigned, n > &a, const v_reg< unsigned, n > &b, const v_reg< unsigned, n > &c, const v_reg< unsigned, n > &d)
template<int n>
v_reg< uchar, 8 *n >	v_pack_b (const v_reg< uint64, n > &a, const v_reg< uint64, n > &b, const v_reg< uint64, n > &c, const v_reg< uint64, n > &d, const v_reg< uint64, n > &e, const v_reg< uint64, n > &f, const v_reg< uint64, n > &g, const v_reg< uint64, n > &h)

Variables
class GAPI_EXPORTS_W_SIMPLE	GKernelPackage
static const unsigned char	popCountTable []

Detailed Description

"black box" representation of the file storage associated with a file on disk.

Several functions that are described below take CvFileStorage* as inputs and allow the user to save or to load hierarchical collections that consist of scalar values, standard CXCore objects (such as matrices, sequences, graphs), and user-defined objects.

OpenCV can read and write data in XML (http://www.w3c.org/XML), YAML (http://www.yaml.org) or JSON (http://www.json.org/) formats. Below is an example of 3x3 floating-point identity matrix A, stored in XML and YAML files using CXCore functions: XML:

<?xml version="1.0">
<opencv_storage>
<A type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>f</dt>
  <data>1. 0. 0. 0. 1. 0. 0. 0. 1.</data>
</A>
</opencv_storage>

YAML:

%YAML:1.0
A: !!opencv-matrix
  rows: 3
  cols: 3
  dt: f
  data: [ 1., 0., 0., 0., 1., 0., 0., 0., 1.]

As it can be seen from the examples, XML uses nested tags to represent hierarchy, while YAML uses indentation for that purpose (similar to the Python programming language).

The same functions can read and write data in both formats; the particular format is determined by the extension of the opened file, ".xml" for XML files, ".yml" or ".yaml" for YAML and ".json" for JSON.

YOUR ATTENTION PLEASE!

This is a header-only implementation of cv::VideoCapture-based Stream source. It is not built by default with G-API as G-API doesn't depend on videoio module.

If you want to use it in your application, please make sure videioio is available in your OpenCV package and is linked to your application.

Note for developers: please don't put videoio dependency in G-API because of this file.

Typedef Documentation

float16_t

typedef hfloat cv::float16_t

FPDenormalsIgnoreHintScope

typedef details::FPDenormalsIgnoreHintScopeNOOP cv::FPDenormalsIgnoreHintScope

frame_iterator

typedef frame_list::iterator cv::frame_iterator

frame_list

typedef std::deque< std::pair<uint64_t, uint32_t> > cv::frame_list

GArgs

using cv::GArgs = typedef std::vector<GArg>

GCtors

using cv::GCtors = typedef std::vector<detail::HostCtor>

GInferInputs

using cv::GInferInputs = typedef cv::detail::GInferInputsTyped<cv::GMat, cv::GFrame>

G-API object used to collect network inputs.

GInferListInputs

using cv::GInferListInputs = typedef cv::detail::GInferInputsTyped<cv::GArray<cv::GMat>, cv::GArray<cv::Rect> >

G-API object used to collect the list of network inputs.

GInferListOutputs

using cv::GInferListOutputs = typedef cv::detail::GInferOutputsTyped<cv::GArray<cv::GMat> >

G-API object used to collect the list of network outputs.

GInferOutputs

using cv::GInferOutputs = typedef cv::detail::GInferOutputsTyped<cv::GMat>

G-API object used to collect network outputs.

GKinds

using cv::GKinds = typedef std::vector<cv::detail::OpaqueKind>

GMetaArg

using cv::GMetaArg = typedef util::variant < util::monostate , GMatDesc , GScalarDesc , GArrayDesc , GOpaqueDesc , GFrameDesc >

GMetaArgs

using cv::GMetaArgs = typedef std::vector<GMetaArg>

GOptRunArg

using cv::GOptRunArg = typedef util::variant< optional<cv::Mat>, optional<cv::RMat>, optional<cv::MediaFrame>, optional<cv::Scalar>, optional<cv::detail::VectorRef>, optional<cv::detail::OpaqueRef> >

GOptRunArgP

using cv::GOptRunArgP = typedef util::variant< optional<cv::Mat>*, optional<cv::RMat>*, optional<cv::MediaFrame>*, optional<cv::Scalar>*, cv::detail::OptionalVectorRef, cv::detail::OptionalOpaqueRef >

GOptRunArgs

using cv::GOptRunArgs = typedef std::vector<GOptRunArg>

GOptRunArgsP

using cv::GOptRunArgsP = typedef std::vector<GOptRunArgP>

GProtoArg

using cv::GProtoArg = typedef util::variant < GMat , GMatP , GFrame , GScalar , detail::GArrayU , detail::GOpaqueU >

GProtoArgs

using cv::GProtoArgs = typedef std::vector<GProtoArg>

GProtoInputArgs

using cv::GProtoInputArgs = typedef GIOProtoArgs<In_Tag>

GProtoOutputArgs

using cv::GProtoOutputArgs = typedef GIOProtoArgs<Out_Tag>

GRunArgBase

using cv::GRunArgBase = typedef util::variant< cv::UMat, cv::RMat, cv::gapi::wip::IStreamSource::Ptr, cv::Mat, cv::Scalar, cv::detail::VectorRef, cv::detail::OpaqueRef, cv::MediaFrame >

GRunArgP

using cv::GRunArgP = typedef util::variant< cv::UMat*, cv::Mat*, cv::RMat*, cv::Scalar*, cv::MediaFrame*, cv::detail::VectorRef, cv::detail::OpaqueRef >

GRunArgs

using cv::GRunArgs = typedef std::vector<GRunArg>

GRunArgsP

using cv::GRunArgsP = typedef std::vector<GRunArgP>

GShapes

using cv::GShapes = typedef std::vector<GShape>

GTypesInfo

typedef std::vector< GTypeInfo > cv::GTypesInfo

optional

template<class T >

using cv::optional = typedef cv::util::optional<T>

Enumeration Type Documentation

anonymous enum

anonymous enum

Enumerator
COLORSPACE_GRAY
COLORSPACE_RGBA
COLORSPACE_BGR
COLORSPACE_YUV444P

Codecs

enum cv::Codecs

Enumerator
MJPEG

GShape

enum class cv::GShape : int

strong

Enumerator
GMAT
GSCALAR
GARRAY
GOPAQUE
GFRAME

MediaFormat

enum class cv::MediaFormat : int

strong

Enumerator
BGR
NV12
GRAY

StreamType

enum cv::StreamType

Enumerator
db
dc
pc
wb

Function Documentation

abs() [1/4]

static uchar cv::abs ( uchar  a )

inlinestatic

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abs() [2/4]

static uint64 cv::abs ( uint64  a )

inlinestatic

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abs() [3/4]

static unsigned cv::abs ( unsigned  a )

inlinestatic

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abs() [4/4]

static ushort cv::abs ( ushort  a )

inlinestatic

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can_describe() [1/3]

bool cv::can_describe	(	const GMetaArg &	meta,
		const GRunArg &	arg
	)

can_describe() [2/3]

bool cv::can_describe	(	const GMetaArg &	meta,
		const GRunArgP &	argp
	)

can_describe() [3/3]

bool cv::can_describe	(	const GMetaArgs &	metas,
		const GRunArgs &	args
	)

depthToString()

const char * cv::depthToString

(

int

depth

)

Returns string of cv::Mat depth value: CV_8U -> "CV_8U" or "<invalid depth>"

descr_of() [1/4]

GMetaArg cv::descr_of

(

const GRunArg &

arg

)

descr_of() [2/4]

GMetaArg cv::descr_of

(

const GRunArgP &

argp

)

descr_of() [3/4]

GMetaArgs cv::descr_of

(

const GRunArgs &

args

)

descr_of() [4/4]

GFrameDesc cv::descr_of

(

const MediaFrame &

frame

)

descrs_of() [1/2]

cv::GMetaArgs cv::descrs_of

(

const std::vector< cv::Mat > &

vec

)

descrs_of() [2/2]

cv::GMetaArgs cv::descrs_of

(

const std::vector< cv::UMat > &

vec

)

dumpOpenCLInformation()

static void cv::dumpOpenCLInformation ( )

static

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gin()

template<typename... Ts>

GRunArgs cv::gin ( const Ts &...  args )

inline

GIn()

template<typename... Ts>

GProtoInputArgs cv::GIn ( Ts &&...  ts )

inline

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GOut() [1/3]

template<typename... Ts>

GProtoOutputArgs cv::GOut ( const std::tuple< Ts... > &  ts )

inline

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gout() [1/2]

template<typename T , typename... Ts>

GOptRunArgsP cv::gout ( optional< T > &  arg, optional< Ts > &...  args  )

inline

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GOut() [2/3]

template<typename... Ts>

GProtoOutputArgs cv::GOut ( std::tuple< Ts... > &&  ts )

inline

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GOut() [3/3]

template<typename... Ts>

GProtoOutputArgs cv::GOut ( Ts &&...  ts )

inline

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gout() [2/2]

template<typename... Ts>

GRunArgsP cv::gout ( Ts &...  args )

inline

haveOpenVX()

bool cv::haveOpenVX

(

)

Python:
	cv.haveOpenVX(		) ->	retval

Check if use of OpenVX is possible.

hfloatFromBits()

hfloat cv::hfloatFromBits ( ushort  w )

inline

HoughLinesWithAccumulator()

static void cv::HoughLinesWithAccumulator ( 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  )

inlinestatic

Python:
	cv.HoughLinesWithAccumulator(	image, rho, theta, threshold[, lines[, srn[, stn[, min_theta[, max_theta]]]]]	) ->	lines

Finds lines in a binary image using the standard Hough transform and get accumulator.

Note

This function is for bindings use only. Use original function in C++ code

See also

HoughLines

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icvExtractPattern()

std::string cv::icvExtractPattern	(	const std::string &	filename,
		unsigned *	offset
	)

operator!=() [1/4]

cv::GMat cv::operator!=	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator!=() [2/4]

cv::GMat cv::operator!=	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator!=() [3/4]

cv::GMat cv::operator!=	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator!=() [4/4]

bool cv::operator!=	(	const FileNodeIterator &	it1,
		const FileNodeIterator &	it2
	)

operator&() [1/3]

cv::GMat cv::operator&	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator&() [2/3]

cv::GMat cv::operator&	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator&() [3/3]

cv::GMat cv::operator&	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator*() [1/4]

cv::GMat cv::operator*	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator*() [2/4]

cv::GMat cv::operator*	(	const cv::GMat &	lhs,
		float	rhs
	)

operator*() [3/4]

cv::GMat cv::operator*	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator*() [4/4]

cv::GMat cv::operator*	(	float	lhs,
		const cv::GMat &	rhs
	)

operator+() [1/3]

cv::GMat cv::operator+	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator+() [2/3]

cv::GMat cv::operator+	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator+() [3/3]

cv::GMat cv::operator+	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator+=() [1/3]

template<typename Tg >

cv::GIOProtoArgs< Tg > & cv::operator+=	(	cv::GIOProtoArgs< Tg > &	lhs,
		const cv::GIOProtoArgs< Tg > &	rhs
	)

It's an ordinary overload of addition assignment operator.

Example of usage:

        auto ins = cv::GIn();
        cv::GMat in1;
        if (need_first_conversion)
            ins += cv::GIn(in1);
 
        cv::GMat in2;
        if (need_second_conversion)
            ins += cv::GIn(in2);
 
        auto outs = cv::GOut();
        cv::GMat out1 = cv::gapi::resize(in1, szOut);
        if (need_first_conversion)
            outs += cv::GOut(out1);
 
        cv::GMat out2 = cv::gapi::resize(in2, szOut);
        if (need_second_conversion)
            outs += cv::GOut(out2);

operator+=() [2/3]

GRunArgs & cv::operator+= ( GRunArgs &  lhs, const GRunArgs &  rhs  )

inline

This operator allows to complement the input vector at runtime.

It's an ordinary overload of addition assignment operator.

Example of usage:

    auto in_vector = cv::gin();
 
    cv::Mat in_mat1( 8,  8, CV_8UC3);
    cv::Mat in_mat2(16, 16, CV_8UC3);
    cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
    cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
 
    if (need_first_conversion)
        in_vector += cv::gin(in_mat1);
    if (need_second_conversion)
        in_vector += cv::gin(in_mat2);

operator+=() [3/3]

GRunArgsP & cv::operator+= ( GRunArgsP &  lhs, const GRunArgsP &  rhs  )

inline

This operator allows to complement the output vector at runtime.

It's an ordinary overload of addition assignment operator.

Example of usage:

    auto out_vector = cv::gout();
    cv::Mat out_mat1, out_mat2;
    if (need_first_conversion)
        out_vector += cv::gout(out_mat1);
    if (need_second_conversion)
        out_vector += cv::gout(out_mat2);

operator-() [1/4]

cv::GMat cv::operator-	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator-() [2/4]

cv::GMat cv::operator-	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator-() [3/4]

cv::GMat cv::operator-	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator-() [4/4]

static ptrdiff_t cv::operator- ( const FileNodeIterator &  it1, const FileNodeIterator &  it2  )

inlinestatic

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operator/() [1/3]

cv::GMat cv::operator/	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator/() [2/3]

cv::GMat cv::operator/	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator/() [3/3]

cv::GMat cv::operator/	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator<() [1/4]

cv::GMat cv::operator<	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator<() [2/4]

cv::GMat cv::operator<	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator<() [3/4]

cv::GMat cv::operator<	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator<() [4/4]

static bool cv::operator< ( const FileNodeIterator &  it1, const FileNodeIterator &  it2  )

inlinestatic

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operator<<() [1/9]

static FileStorage & cv::operator<< ( FileStorage &  fs, char *  value  )

inlinestatic

Writes data to a file storage.

operator<<() [2/9]

template<typename _Tp >

static FileStorage & cv::operator<< ( FileStorage &  fs, const _Tp &  value  )

inlinestatic

Writes data to a file storage.

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operator<<() [3/9]

static FileStorage & cv::operator<< ( FileStorage &  fs, const char *  str  )

inlinestatic

Writes data to a file storage.

operator<<() [4/9]

FileStorage & cv::operator<<	(	FileStorage &	fs,
		const String &	str
	)

Writes string to a file storage.

operator<<() [5/9]

std::ostream & cv::operator<<	(	std::ostream &	os,
		const cv::GArrayDesc &	desc
	)

operator<<() [6/9]

std::ostream & cv::operator<<	(	std::ostream &	os,
		const cv::GFrameDesc &	desc
	)

operator<<() [7/9]

std::ostream & cv::operator<<	(	std::ostream &	os,
		const cv::GMatDesc &	desc
	)

operator<<() [8/9]

std::ostream & cv::operator<<	(	std::ostream &	os,
		const cv::GOpaqueDesc &	desc
	)

operator<<() [9/9]

std::ostream & cv::operator<<	(	std::ostream &	os,
		const GMetaArg &
	)

operator<=() [1/3]

cv::GMat cv::operator<=	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator<=() [2/3]

cv::GMat cv::operator<=	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator<=() [3/3]

cv::GMat cv::operator<=	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator==() [1/4]

cv::GMat cv::operator==	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator==() [2/4]

cv::GMat cv::operator==	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator==() [3/4]

cv::GMat cv::operator==	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator==() [4/4]

bool cv::operator==	(	const FileNodeIterator &	it1,
		const FileNodeIterator &	it2
	)

operator>() [1/3]

cv::GMat cv::operator>	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator>() [2/3]

cv::GMat cv::operator>	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator>() [3/3]

cv::GMat cv::operator>	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator>=() [1/3]

cv::GMat cv::operator>=	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator>=() [2/3]

cv::GMat cv::operator>=	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator>=() [3/3]

cv::GMat cv::operator>=	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator>>() [1/6]

template<typename _Tp >

static void cv::operator>> ( const FileNode &  n, _Tp &  value  )

inlinestatic

Reads data from a file storage.

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operator>>() [2/6]

static void cv::operator>> ( const FileNode &  n, DMatch &  m  )

inlinestatic

Reads DMatch from a file storage.

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operator>>() [3/6]

static void cv::operator>> ( const FileNode &  n, KeyPoint &  kpt  )

inlinestatic

Reads KeyPoint from a file storage.

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operator>>() [4/6]

template<typename _Tp >

static void cv::operator>> ( const FileNode &  n, std::vector< _Tp > &  vec  )

inlinestatic

Reads data from a file storage.

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operator>>() [5/6]

template<typename _Tp >

static FileNodeIterator & cv::operator>> ( FileNodeIterator &  it, _Tp &  value  )

inlinestatic

Reads data from a file storage.

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operator>>() [6/6]

template<typename _Tp >

static FileNodeIterator & cv::operator>> ( FileNodeIterator &  it, std::vector< _Tp > &  vec  )

inlinestatic

Reads data from a file storage.

operator^() [1/3]

cv::GMat cv::operator^	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator^() [2/3]

cv::GMat cv::operator^	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator^() [3/3]

cv::GMat cv::operator^	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator|() [1/3]

cv::GMat cv::operator|	(	const cv::GMat &	lhs,
		const cv::GMat &	rhs
	)

operator|() [2/3]

cv::GMat cv::operator|	(	const cv::GMat &	lhs,
		const cv::GScalar &	rhs
	)

operator|() [3/3]

cv::GMat cv::operator|	(	const cv::GScalar &	lhs,
		const cv::GMat &	rhs
	)

operator~()

cv::GMat cv::operator~

(

const cv::GMat &

lhs

)

read() [1/28]

void cv::read	(	const FileNode &	fn,
		optflow::GPCTree::Node &	node,
		optflow::GPCTree::Node
	)

read() [2/28]

template<typename _Tp , typename std::enable_if< std::is_enum< _Tp >::value >::type * = nullptr>

static void cv::read ( const FileNode &  node, _Tp &  value, const _Tp &  default_value = static_cast<_Tp>(0)  )

inlinestatic

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read() [3/28]

static void cv::read ( const FileNode &  node, bool &  value, bool  default_value  )

inlinestatic

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read() [4/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, Complex< _Tp > &  value, const Complex< _Tp > &  default_value  )

inlinestatic

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read() [5/28]

void cv::read	(	const FileNode &	node,
		DMatch &	value,
		const DMatch &	default_value
	)

read() [6/28]

void cv::read	(	const FileNode &	node,
		double &	value,
		double	default_value
	)

read() [7/28]

void cv::read	(	const FileNode &	node,
		float &	value,
		float	default_value
	)

read() [8/28]

void cv::read	(	const FileNode &	node,
		int &	value,
		int	default_value
	)

read() [9/28]

void cv::read	(	const FileNode &	node,
		KeyPoint &	value,
		const KeyPoint &	default_value
	)

read() [10/28]

void cv::read	(	const FileNode &	node,
		Mat &	mat,
		const Mat &	default_mat = Mat()
	)

read() [11/28]

template<typename _Tp , int m, int n>

static void cv::read ( const FileNode &  node, Matx< _Tp, m, n > &  value, const Matx< _Tp, m, n > &  default_matx = Matx<_Tp, m, n>()  )

inlinestatic

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read() [12/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, Point3_< _Tp > &  value, const Point3_< _Tp > &  default_value  )

inlinestatic

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read() [13/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, Point_< _Tp > &  value, const Point_< _Tp > &  default_value  )

inlinestatic

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read() [14/28]

static void cv::read ( const FileNode &  node, Range &  value, const Range &  default_value  )

inlinestatic

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read() [15/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, Rect_< _Tp > &  value, const Rect_< _Tp > &  default_value  )

inlinestatic

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read() [16/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, Scalar_< _Tp > &  value, const Scalar_< _Tp > &  default_value  )

inlinestatic

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read() [17/28]

static void cv::read ( const FileNode &  node, schar &  value, schar  default_value  )

inlinestatic

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read() [18/28]

static void cv::read ( const FileNode &  node, short &  value, short  default_value  )

inlinestatic

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read() [19/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, Size_< _Tp > &  value, const Size_< _Tp > &  default_value  )

inlinestatic

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read() [20/28]

void cv::read	(	const FileNode &	node,
		SparseMat &	mat,
		const SparseMat &	default_mat = SparseMat()
	)

read() [21/28]

void cv::read	(	const FileNode &	node,
		std::string &	value,
		const std::string &	default_value
	)

read() [22/28]

template<typename _Tp >

static void cv::read ( const FileNode &  node, std::vector< _Tp > &  vec, const std::vector< _Tp > &  default_value = std::vector<_Tp>()  )

inlinestatic

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read() [23/28]

static void cv::read ( const FileNode &  node, std::vector< DMatch > &  vec, const std::vector< DMatch > &  default_value  )

inlinestatic

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read() [24/28]

static void cv::read ( const FileNode &  node, std::vector< KeyPoint > &  vec, const std::vector< KeyPoint > &  default_value  )

inlinestatic

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read() [25/28]

static void cv::read ( const FileNode &  node, uchar &  value, uchar  default_value  )

inlinestatic

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read() [26/28]

static void cv::read ( const FileNode &  node, ushort &  value, ushort  default_value  )

inlinestatic

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read() [27/28]

template<typename _Tp , int cn>

static void cv::read ( const FileNode &  node, Vec< _Tp, cn > &  value, const Vec< _Tp, cn > &  default_value  )

inlinestatic

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read() [28/28]

template<typename _Tp >

static void cv::read ( FileNodeIterator &  it, std::vector< _Tp > &  vec, size_t  maxCount = (size_t)INT_MAX  )

inlinestatic

setUseOpenVX()

void cv::setUseOpenVX

(

bool

flag

)

Python:
	cv.setUseOpenVX(	flag	) ->	None

Enable/disable use of OpenVX.

to_own() [1/3]

template<typename T >

std::vector< T > cv::to_own

(

const cv::MatSize &

sz

)

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to_own() [2/3]

cv::gapi::own::Mat cv::to_own ( Mat &&  )

delete

to_own() [3/3]

cv::gapi::own::Mat cv::to_own ( Mat const &  m )

inline

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typeToString()

String cv::typeToString

(

int

type

)

Returns string of cv::Mat depth value: CV_8UC3 -> "CV_8UC3" or "<invalid type>"

useOpenVX()

bool cv::useOpenVX

(

)

Python:
	cv.useOpenVX(		) ->	retval

Check if use of OpenVX is enabled.

validate_input_arg()

void cv::validate_input_arg

(

const GRunArg &

arg

)

validate_input_args()

void cv::validate_input_args

(

const GRunArgs &

args

)

value_of()

GRunArg cv::value_of

(

const GOrigin &

origin

)

write() [1/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const _Tp &  value  )

inlinestatic

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write() [2/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const Complex< _Tp > &  c  )

inlinestatic

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write() [3/36]

template<>

void cv::write ( FileStorage &  fs, const double &  value  )

inline

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write() [4/36]

template<>

void cv::write ( FileStorage &  fs, const float &  value  )

inline

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write() [5/36]

template<>

void cv::write ( FileStorage &  fs, const int &  value  )

inline

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write() [6/36]

template<typename _Tp , int m, int n>

static void cv::write ( FileStorage &  fs, const Matx< _Tp, m, n > &  x  )

inlinestatic

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write() [7/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const Point3_< _Tp > &  pt  )

inlinestatic

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write() [8/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const Point_< _Tp > &  pt  )

inlinestatic

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write() [9/36]

static void cv::write ( FileStorage &  fs, const Range &  r  )

inlinestatic

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write() [10/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const Rect_< _Tp > &  r  )

inlinestatic

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write() [11/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const Scalar_< _Tp > &  s  )

inlinestatic

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write() [12/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const Size_< _Tp > &  sz  )

inlinestatic

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write() [13/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const std::vector< _Tp > &  vec  )

inlinestatic

write() [14/36]

template<typename _Tp , typename std::enable_if< std::is_enum< _Tp >::value >::type * = nullptr>

static void cv::write ( FileStorage &  fs, const String &  name, const _Tp &  val  )

inlinestatic

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write() [15/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const Complex< _Tp > &  c  )

inlinestatic

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write() [16/36]

static void cv::write ( FileStorage &  fs, const String &  name, const DMatch &  m  )

inlinestatic

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write() [17/36]

static void cv::write ( FileStorage &  fs, const String &  name, const KeyPoint &  kpt  )

inlinestatic

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write() [18/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		const Mat &	value
	)

write() [19/36]

template<typename _Tp , int m, int n>

static void cv::write ( FileStorage &  fs, const String &  name, const Matx< _Tp, m, n > &  x  )

inlinestatic

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write() [20/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		const optflow::GPCTree::Node &	node
	)

write() [21/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const Point3_< _Tp > &  pt  )

inlinestatic

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write() [22/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const Point_< _Tp > &  pt  )

inlinestatic

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write() [23/36]

static void cv::write ( FileStorage &  fs, const String &  name, const Range &  r  )

inlinestatic

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write() [24/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const Rect_< _Tp > &  r  )

inlinestatic

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write() [25/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const Scalar_< _Tp > &  s  )

inlinestatic

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write() [26/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const Size_< _Tp > &  sz  )

inlinestatic

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write() [27/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		const SparseMat &	value
	)

write() [28/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const std::vector< _Tp > &  vec  )

inlinestatic

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write() [29/36]

template<typename _Tp >

static void cv::write ( FileStorage &  fs, const String &  name, const std::vector< std::vector< _Tp > > &  vec  )

inlinestatic

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write() [30/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		const String &	value
	)

write() [31/36]

template<typename _Tp , int cn>

static void cv::write ( FileStorage &  fs, const String &  name, const Vec< _Tp, cn > &  v  )

inlinestatic

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write() [32/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		double	value
	)

write() [33/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		float	value
	)

write() [34/36]

void cv::write	(	FileStorage &	fs,
		const String &	name,
		int	value
	)

write() [35/36]

template<>

void cv::write ( FileStorage &  fs, const String &  value  )

inline

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write() [36/36]

template<typename _Tp , int cn>

static void cv::write ( FileStorage &  fs, const Vec< _Tp, cn > &  v  )

inlinestatic

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writeScalar() [1/4]

void cv::writeScalar	(	FileStorage &	fs,
		const String &	value
	)

writeScalar() [2/4]

void cv::writeScalar	(	FileStorage &	fs,
		double	value
	)

writeScalar() [3/4]

void cv::writeScalar	(	FileStorage &	fs,
		float	value
	)

writeScalar() [4/4]

void cv::writeScalar	(	FileStorage &	fs,
		int	value
	)

Variable Documentation

GKernelPackage

class GAPI_EXPORTS_W_SIMPLE cv::GKernelPackage