EstervQrCode
2.0.0
Library for qr code manipulation
| ►Ncv | "black box" representation of the file storage associated with a file on disk |
| ►Naruco | |
| CArucoDetector | The main functionality of ArucoDetector class is detection of markers in an image with detectMarkers() method |
| CBoard | Board of ArUco markers |
| CCharucoBoard | ChArUco board is a planar chessboard where the markers are placed inside the white squares of a chessboard |
| CCharucoDetector | |
| CCharucoParameters | |
| CDetectorParameters | Struct DetectorParameters is used by ArucoDetector |
| CDictionary | Dictionary is a set of unique ArUco markers of the same size |
| CGridBoard | Planar board with grid arrangement of markers |
| CRefineParameters | Struct RefineParameters is used by ArucoDetector |
| ►Nbarcode | |
| CBarcodeDetector | |
| ►Ncuda | |
| CBufferPool | BufferPool for use with CUDA streams |
| CDeviceInfo | Class providing functionality for querying the specified GPU properties |
| CEvent | |
| CEventAccessor | Class that enables getting cudaEvent_t from cuda::Event |
| CGpuData | |
| ►CGpuMat | Base storage class for GPU memory with reference counting |
| CAllocator | |
| CGpuMatND | |
| CHostMem | Class with reference counting wrapping special memory type allocation functions from CUDA |
| CStream | This class encapsulates a queue of asynchronous calls |
| CStreamAccessor | Class that enables getting cudaStream_t from cuda::Stream |
| CTargetArchs | Class providing a set of static methods to check what NVIDIA* card architecture the CUDA module was built for |
| ►Ndetail | |
| ►Ntracking | |
| CTrackerFeature | Abstract base class for TrackerFeature that represents the feature |
| CTrackerFeatureSet | Class that manages the extraction and selection of features |
| CTrackerModel | Abstract class that represents the model of the target |
| CTrackerSampler | Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B |
| CTrackerSamplerAlgorithm | Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler |
| ►CTrackerSamplerCSC | TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL |
| CParams | |
| CTrackerStateEstimator | Abstract base class for TrackerStateEstimator that estimates the most likely target state |
| CTrackerTargetState | Abstract base class for TrackerTargetState that represents a possible state of the target |
| CTrackerFeature | Abstract base class for TrackerFeature that represents the feature |
| CTrackerFeatureSet | Class that manages the extraction and selection of features |
| CTrackerModel | Abstract class that represents the model of the target |
| CTrackerSampler | Class that manages the sampler in order to select regions for the update the model of the tracker [AAM] Sampling e Labeling. See table I and section III B |
| CTrackerSamplerAlgorithm | Abstract base class for TrackerSamplerAlgorithm that represents the algorithm for the specific sampler |
| ►CTrackerSamplerCSC | TrackerSampler based on CSC (current state centered), used by MIL algorithm TrackerMIL |
| CParams | |
| CTrackerStateEstimator | Abstract base class for TrackerStateEstimator that estimates the most likely target state |
| CTrackerTargetState | Abstract base class for TrackerTargetState that represents a possible state of the target |
| ►Ndetails | |
| CFPDenormalsIgnoreHintScope | |
| CFPDenormalsIgnoreHintScopeNOOP | |
| CFPDenormalsModeState | |
| ►Ndirectx | |
| Nocl | |
| NError | |
| Nfisheye | The methods in this namespace use a so-called fisheye camera model |
| ►Nflann | |
| CCvType | |
| CCvType< char > | |
| CCvType< double > | |
| CCvType< float > | |
| CCvType< int > | |
| CCvType< short > | |
| CCvType< unsigned char > | |
| CCvType< unsigned short > | |
| CGenericIndex | The FLANN nearest neighbor index class. This class is templated with the type of elements for which the index is built |
| ►Nhal | |
| CDCT2D | |
| CDFT1D | |
| CDFT2D | |
| ►Ninstr | |
| CNodeData | |
| CNodeDataTls | |
| ►Ninternal | |
| CMatx_DetOp | |
| CMatx_DetOp< _Tp, 1 > | |
| CMatx_DetOp< _Tp, 2 > | |
| CMatx_DetOp< _Tp, 3 > | |
| ►Nocl | |
| ►CContext | |
| CUserContext | |
| CDevice | |
| CImage2D | |
| CKernel | |
| CKernelArg | |
| COpenCLExecutionContext | |
| COpenCLExecutionContextScope | |
| CPlatform | |
| CPlatformInfo | |
| CProgram | |
| CProgramSource | |
| CQueue | |
| CTimer | |
| ►Nogl | |
| Nocl | |
| CArrays | Wrapper for OpenGL Client-Side Vertex arrays |
| CBuffer | Smart pointer for OpenGL buffer object with reference counting |
| CTexture2D | Smart pointer for OpenGL 2D texture memory with reference counting |
| ►Nparallel | |
| ►Nopenmp | |
| CParallelForBackend | |
| ►Ntbb | |
| ►CParallelForBackend | |
| CCallbackProxy | |
| CParallelForAPI | |
| Nsamples | |
| ►Nsegmentation | |
| CIntelligentScissorsMB | Intelligent Scissors image segmentation |
| ►Nsfinae | |
| Chas_parenthesis_operator | |
| ►Ntraits | |
| Ninternal | |
| CDepth | |
| CDepth< Complex< _Tp > > | |
| CDepth< Matx< _Tp, m, n > > | |
| CDepth< Moments > | |
| CDepth< Point3_< _Tp > > | |
| CDepth< Point_< _Tp > > | |
| CDepth< Range > | |
| CDepth< Rect_< _Tp > > | |
| CDepth< RotatedRect > | |
| CDepth< Scalar_< _Tp > > | |
| CDepth< Size_< _Tp > > | |
| CDepth< Vec< _Tp, cn > > | |
| CSafeFmt | |
| CSafeFmt< T, false > | |
| CSafeFmt< T, true > | |
| CSafeType | |
| CSafeType< T, false > | |
| CSafeType< T, true > | |
| CType | |
| CType< Complex< _Tp > > | |
| CType< Matx< _Tp, m, n > > | |
| CType< Moments > | |
| CType< Point3_< _Tp > > | |
| CType< Point_< _Tp > > | |
| CType< Range > | |
| CType< Rect_< _Tp > > | |
| CType< RotatedRect > | |
| CType< Scalar_< _Tp > > | |
| CType< Size_< _Tp > > | |
| CType< Vec< _Tp, cn > > | |
| ►Nutils | |
| Nfs | |
| ►Nlogging | |
| Ninternal | |
| CLogTag | |
| CLogTagAuto | |
| Ntrace | |
| CAllocatorStatistics | |
| CAllocatorStatisticsInterface | |
| ►Nva_intel | |
| Nocl | |
| Nvideoio_registry | |
| C_InputArray | This is the proxy class for passing read-only input arrays into OpenCV functions |
| C_InputOutputArray | |
| C_OutputArray | This type is very similar to InputArray except that it is used for input/output and output function parameters |
| CAccumulator | |
| CAccumulator< char > | |
| CAccumulator< short > | |
| CAccumulator< unsigned char > | |
| CAccumulator< unsigned short > | |
| CAffineFeature | Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [YM11] |
| CAgastFeatureDetector | Wrapping class for feature detection using the AGAST method. : |
| CAKAZE | Class implementing the AKAZE keypoint detector and descriptor extractor, described in [ANB13] |
| CAlgorithm | This is a base class for all more or less complex algorithms in OpenCV |
| ►CAllocator | |
| Crebind | |
| CAsyncArray | Returns result of asynchronous operations |
| CAsyncPromise | Provides result of asynchronous operations |
| CAutoBuffer | Automatically Allocated Buffer Class |
| CBackgroundSubtractor | Base class for background/foreground segmentation. : |
| CBackgroundSubtractorKNN | K-nearest neighbours - based Background/Foreground Segmentation Algorithm |
| CBackgroundSubtractorMOG2 | Gaussian Mixture-based Background/Foreground Segmentation Algorithm |
| ►CBaseCascadeClassifier | |
| CMaskGenerator | |
| CBFMatcher | Brute-force descriptor matcher |
| CBOWImgDescriptorExtractor | Class to compute an image descriptor using the bag of visual words |
| CBOWKMeansTrainer | Kmeans -based class to train visual vocabulary using the bag of visual words approach. : |
| CBOWTrainer | Abstract base class for training the bag of visual words vocabulary from a set of descriptors |
| CBRISK | Class implementing the BRISK keypoint detector and descriptor extractor, described in [LCS11] |
| CBufferPoolController | |
| CCascadeClassifier | Cascade classifier class for object detection |
| CCirclesGridFinderParameters | |
| CCLAHE | Base class for Contrast Limited Adaptive Histogram Equalization |
| CCommandLineParser | Designed for command line parsing |
| CComplex | A complex number class |
| CConjGradSolver | This class is used to perform the non-linear non-constrained minimization of a function with known gradient, |
| CDataDepth | A helper class for cv::DataType |
| CDataType | Template "trait" class for OpenCV primitive data types |
| CDataType< bool > | |
| CDataType< char > | |
| CDataType< Complex< _Tp > > | |
| CDataType< double > | |
| CDataType< float > | |
| CDataType< hfloat > | |
| CDataType< int > | |
| CDataType< Matx< _Tp, m, n > > | |
| CDataType< Moments > | |
| CDataType< Point3_< _Tp > > | |
| CDataType< Point_< _Tp > > | |
| CDataType< Range > | |
| CDataType< Rect_< _Tp > > | |
| CDataType< RotatedRect > | |
| CDataType< Scalar_< _Tp > > | |
| CDataType< schar > | |
| CDataType< short > | |
| CDataType< Size_< _Tp > > | |
| CDataType< uchar > | |
| CDataType< ushort > | |
| CDataType< Vec< _Tp, cn > > | |
| CDefaultDeleter | |
| CDefaultDeleter< CvHaarClassifierCascade > | |
| CDenseOpticalFlow | |
| ►CDescriptorMatcher | Abstract base class for matching keypoint descriptors |
| CDescriptorCollection | |
| ►CDetectionBasedTracker | |
| CExtObject | |
| CIDetector | |
| CInnerParameters | |
| CParameters | |
| CTrackedObject | |
| CDetectionROI | Struct for detection region of interest (ROI) |
| CDISOpticalFlow | DIS optical flow algorithm |
| CDMatch | Class for matching keypoint descriptors |
| CDownhillSolver | This class is used to perform the non-linear non-constrained minimization of a function, |
| CDualQuat | |
| CException | Class passed to an error |
| CFaceDetectorYN | DNN-based face detector |
| CFaceRecognizerSF | DNN-based face recognizer |
| CFarnebackOpticalFlow | Class computing a dense optical flow using the Gunnar Farneback's algorithm |
| CFastFeatureDetector | Wrapping class for feature detection using the FAST method. : |
| CFeature2D | Abstract base class for 2D image feature detectors and descriptor extractors |
| CFileNode | File Storage Node class |
| CFileNodeIterator | Used to iterate through sequences and mappings |
| CFileStorage | XML/YAML/JSON file storage class that encapsulates all the information necessary for writing or reading data to/from a file |
| CFormatted | |
| CFormatter | |
| CGeneralizedHough | Finds arbitrary template in the grayscale image using Generalized Hough Transform |
| CGeneralizedHoughBallard | Finds arbitrary template in the grayscale image using Generalized Hough Transform |
| CGeneralizedHoughGuil | Finds arbitrary template in the grayscale image using Generalized Hough Transform |
| CGFTTDetector | Wrapping class for feature detection using the goodFeaturesToTrack function. : |
| CGraphicalCodeDetector | |
| CHamming | |
| Chas_custom_delete | |
| Chas_custom_delete< T, typename std::enable_if< sfinae::has_parenthesis_operator< DefaultDeleter< T >, void, T * >::value >::type > | |
| CHOGDescriptor | Implementation of HOG (Histogram of Oriented Gradients) descriptor and object detector |
| ►CImageCollection | To read Multi Page images on demand |
| Citerator | |
| CKalmanFilter | Kalman filter class |
| CKAZE | Class implementing the KAZE keypoint detector and descriptor extractor, described in [ABD12] |
| CKeyPoint | Data structure for salient point detectors |
| CKeyPointsFilter | A class filters a vector of keypoints |
| CL1 | |
| CL2 | |
| CLDA | Linear Discriminant Analysis |
| CLineIterator | Class for iterating over all pixels on a raster line segment |
| CLineSegmentDetector | Line segment detector class |
| ►CLMSolver | |
| CCallback | |
| CMat | N-dimensional dense array class |
| CMat_ | Template matrix class derived from Mat |
| CMatAllocator | Custom array allocator |
| CMatCommaInitializer_ | Comma-separated Matrix Initializer |
| CMatConstIterator | |
| CMatConstIterator_ | Matrix read-only iterator |
| CMatExpr | 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 )): |
| CMatIterator_ | Matrix read-write iterator |
| CMatOp | |
| CMatSize | |
| CMatStep | |
| CMatx | Template class for small matrices whose type and size are known at compilation time |
| CMatxCommaInitializer | Comma-separated Matrix Initializer |
| ►CMinProblemSolver | Basic interface for all solvers |
| CFunction | Represents function being optimized |
| CMoments | Struct returned by cv::moments |
| CMSER | Maximally stable extremal region extractor |
| CNAryMatIterator | N-ary multi-dimensional array iterator |
| CNode | |
| CORB | Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor |
| CParallelLoopBody | Base class for parallel data processors |
| CParallelLoopBodyLambdaWrapper | |
| CParamType | |
| CParamType< _Tp, typename std::enable_if< std::is_enum< _Tp >::value >::type > | |
| CParamType< Algorithm > | |
| CParamType< bool > | |
| CParamType< double > | |
| CParamType< float > | |
| CParamType< int > | |
| CParamType< Mat > | |
| CParamType< Scalar > | |
| CParamType< std::vector< Mat > > | |
| CParamType< String > | |
| CParamType< uchar > | |
| CParamType< uint64 > | |
| CParamType< unsigned > | |
| CPCA | Principal Component Analysis |
| CPoint3_ | Template class for 3D points specified by its coordinates x, y and z |
| CPoint_ | Template class for 2D points specified by its coordinates x and y |
| CPtr | |
| CQRCodeDetector | |
| ►CQRCodeDetectorAruco | |
| CParams | |
| ►CQRCodeEncoder | |
| CParams | QR code encoder parameters |
| CQuat | |
| CQuatEnum | |
| CRange | Template class specifying a continuous subsequence (slice) of a sequence |
| CRect_ | Template class for 2D rectangles |
| CRNG | Random Number Generator |
| CRNG_MT19937 | Mersenne Twister random number generator |
| CRotatedRect | The class represents rotated (i.e. not up-right) rectangles on a plane |
| CScalar_ | Template class for a 4-element vector derived from Vec |
| CSIFT | Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [Lowe04] |
| CSimilarRects | This class is used for grouping object candidates detected by Cascade Classifier, HOG etc |
| ►CSimpleBlobDetector | Class for extracting blobs from an image. : |
| CParams | |
| CSize_ | Template class for specifying the size of an image or rectangle |
| CSL2 | |
| Csoftdouble | |
| Csoftfloat | |
| ►CSparseMat | The class SparseMat represents multi-dimensional sparse numerical arrays |
| CHdr | Sparse matrix header |
| CNode | Sparse matrix node - element of a hash table |
| CSparseMat_ | Template sparse n-dimensional array class derived from SparseMat |
| CSparseMatConstIterator | Read-Only Sparse Matrix Iterator |
| CSparseMatConstIterator_ | Template Read-Only Sparse Matrix Iterator Class |
| CSparseMatIterator | Read-write Sparse Matrix Iterator |
| CSparseMatIterator_ | Template Read-Write Sparse Matrix Iterator Class |
| CSparseOpticalFlow | Base interface for sparse optical flow algorithms |
| CSparsePyrLKOpticalFlow | Class used for calculating a sparse optical flow |
| CStereoBM | Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige |
| CStereoMatcher | The base class for stereo correspondence algorithms |
| CStereoSGBM | The class implements the modified H. Hirschmuller algorithm [HH08] that differs from the original one as follows: |
| ►CSubdiv2D | |
| CQuadEdge | |
| CVertex | |
| CSVD | Singular Value Decomposition |
| CTermCriteria | The class defining termination criteria for iterative algorithms |
| CTickMeter | Class to measure passing time |
| CTLSData | Simple TLS data class |
| CTLSDataAccumulator | TLS data accumulator with gathering methods |
| CTLSDataContainer | |
| CTracker | Base abstract class for the long-term tracker |
| ►CTrackerDaSiamRPN | |
| CParams | |
| ►CTrackerGOTURN | GOTURN (Generic Object Tracking Using Regression Networks) tracker |
| CParams | |
| ►CTrackerMIL | The MIL algorithm trains a classifier in an online manner to separate the object from the background |
| CParams | |
| ►CTrackerNano | Nano tracker is a super lightweight dnn-based general object tracking |
| CParams | |
| ►CTrackerVit | VIT tracker is a super lightweight dnn-based general object tracking |
| CParams | |
| CUMat | |
| CUMatData | |
| CUsacParams | |
| Cv_reg | |
| CV_TypeTraits | |
| CVariationalRefinement | Variational optical flow refinement |
| CVec | Template class for short numerical vectors, a partial case of Matx |
| CVecCommaInitializer | Comma-separated Vec Initializer |
| CVideoCapture | Class for video capturing from video files, image sequences or cameras |
| CVideoWriter | Video writer class |
| Ncvflann | |
| ►NEsterv | |
| ►NAboutEstervQrCode | |
| CAbout | |
| ►NControls | |
| ►NFlat | |
| CButton | |
| CCheckBox | |
| CComboBox | |
| CDelayButton | |
| CFrame | |
| CItemDelegate | |
| CLabel | |
| CPopup | |
| CRoundButton | |
| CSpinBox | |
| CSwitch | |
| CTabBar | |
| CTabButton | |
| CTextArea | |
| CTextField | |
| CToolTip | |
| ►NCustomControls | |
| ►NQrDec | |
| CQrCam | |
| CQrDecPop | |
| CQrTextField | |
| ►NQrGen | |
| CQrGenImage | |
| CQrGenPop | |
| CQrText | |
| CCloseButton | |
| CNextButton | |
| CPinPad | |
| CPrevButton | |
| CThemeSwitch | |
| ►NStyles | |
| ►NSimple | |
| CStyle | |
| ►NUtils | |
| ►NQrDec | |
| CQRDecoder | |
| CQRImageDecoder | |
| CWasmImageProvider | |
| ►NQrGen | |
| CBitBuffer | |
| Cdata_too_long | |
| CQrCode | |
| CQRImageProvider | |
| ►CQrSegment | |
| CMode | |
| CAboutThis | |
| ►NQT_WARNING_DISABLE_DEPRECATED | |
| Cqt_meta_tag_ZN6Esterv5Utils5QrDec14QRImageDecoderE_t | |
| Cqt_meta_tag_ZN6Esterv5Utils9AboutThisE_t |