OpenCV  4.10.0-dev
Open Source Computer Vision
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cv Namespace Reference
Core functionality » Utility and system functions and macros | Core functionality » Utility and system functions and macros » Logging facilities

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 [312] . 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 [159] . 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 [174] . 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  AlgorithmHint {
  ALGO_HINT_DEFAULT = 0 ,
  ALGO_HINT_ACCURATE = 1 ,
  ALGO_HINT_APPROX = 2
}
 Flags that allow to midify some functions behavior. Used as set of flags. More...
 
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_BGR = 1 ,
  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_COLOR_RGB = 256
}
 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 ,
  CAP_PROP_PTS = 71 ,
  CAP_PROP_DTS_DELAY = 72
}
 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 ,
  VIDEOWRITER_PROP_PTS = 12 ,
  VIDEOWRITER_PROP_DTS_DELAY = 13
}
 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.
 
void approxPolyN (InputArray curve, OutputArray approxCurve, int nsides, float epsilon_percentage=-1.0, bool ensure_convex=true)
 Approximates a polygon with a convex hull with a specified accuracy and number of sides.
 
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 >
static void cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor > &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 , int _rows, int _cols>
static void cv2eigen (const Matx< _Tp, _rows, _cols > &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor > &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, AlgorithmHint hint=cv::ALGO_HINT_DEFAULT)
 Converts an image from one color space to another.
 
void cvtColorTwoPlane (InputArray src1, InputArray src2, OutputArray dst, int code, AlgorithmHint hint=cv::ALGO_HINT_DEFAULT)
 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 [176] .
 
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, AlgorithmHint hint=cv::ALGO_HINT_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.
 
AlgorithmHint getDefaultAlgorithmHint ()
 Returns AlgorithmHint defined during OpenCV compilation. Defines ALGO_HINT_DEFAULT behavior.
 
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)
 Searches for files matching the specified pattern in a directory.
 
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)
 Checks if the specified image file can be decoded by OpenCV.
 
CV_EXPORTS_W bool haveImageWriter (const String &filename)
 Checks if the specified image file or specified file extension 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 given 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_BGR)
 Loads an image from a file.
 
CV_EXPORTS_W void imread (const String &filename, OutputArray dst, int flags=IMREAD_COLOR_BGR)
 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 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 ()
 Returns an empty InputArray or OutputArray.
 
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)
 
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 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 >
Vec< _Tp, 4 > operator* (const Vec< _Tp, 4 > &v1, const Vec< _Tp, 4 > &v2)
 
template<typename _Tp , int cn>
static Vec<