Namespaces |
namespace | flann |
namespace | gpu |
Classes |
class | StereoBM |
| Block Matching Stereo Correspondence Algorithm. More...
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class | StereoSGBM |
| Semi-Global Block Matching Stereo Correspondence Algorithm. More...
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class | Octree |
class | Mesh3D |
class | SpinImageModel |
class | TickMeter |
class | SelfSimDescriptor |
class | LevMarqSparse |
class | StereoVar |
class | Exception |
| The standard OpenCV exception class. More...
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class | Allocator |
| The STL-compilant memory Allocator based on cv::fastMalloc() and cv::fastFree() More...
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class | DataDepth |
| A helper class for cv::DataType. More...
|
class | DataDepth< bool > |
class | DataDepth< uchar > |
class | DataDepth< schar > |
class | DataDepth< char > |
class | DataDepth< ushort > |
class | DataDepth< short > |
class | DataDepth< int > |
class | DataDepth< unsigned > |
class | DataDepth< float > |
class | DataDepth< double > |
class | DataDepth< _Tp * > |
struct | Matx_AddOp |
| A short numerical vector. More...
|
struct | Matx_SubOp |
struct | Matx_ScaleOp |
struct | Matx_MulOp |
struct | Matx_MatMulOp |
struct | Matx_TOp |
class | Matx |
class | Vec |
| A short numerical vector. More...
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class | Complex |
| A complex number class. More...
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class | Point_ |
| template 2D point class. More...
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class | Point3_ |
| template 3D point class. More...
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class | Size_ |
| The 2D size class. More...
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class | Rect_ |
| The 2D up-right rectangle class. More...
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class | RotatedRect |
| The rotated 2D rectangle. More...
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class | Scalar_ |
| The template scalar class. More...
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class | Range |
| The 2D range class. More...
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class | DataType |
| Informative template class for OpenCV "scalars". More...
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class | DataType< bool > |
class | DataType< uchar > |
class | DataType< schar > |
class | DataType< char > |
class | DataType< ushort > |
class | DataType< short > |
class | DataType< int > |
class | DataType< float > |
class | DataType< double > |
class | DataType< Vec< _Tp, cn > > |
class | DataType< std::complex< _Tp > > |
class | DataType< Complex< _Tp > > |
class | DataType< Point_< _Tp > > |
class | DataType< Point3_< _Tp > > |
class | DataType< Size_< _Tp > > |
class | DataType< Rect_< _Tp > > |
class | DataType< Scalar_< _Tp > > |
class | DataType< Range > |
class | Ptr |
| Smart pointer to dynamically allocated objects. More...
|
class | _InputArray |
| Proxy datatype for passing Mat's and vector<>'s as input parameters. More...
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class | _OutputArray |
| Proxy datatype for passing Mat's and vector<>'s as input parameters. More...
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class | MatAllocator |
| Custom array allocator. More...
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class | Mat |
| The n-dimensional matrix class. More...
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class | RNG |
| Random Number Generator. More...
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class | TermCriteria |
| Termination criteria in iterative algorithms. More...
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class | PCA |
| Principal Component Analysis. More...
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class | SVD |
| Singular Value Decomposition class. More...
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class | LineIterator |
| Line iterator class. More...
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class | Mat_ |
| Template matrix class derived from Mat. More...
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class | MatConstIterator |
class | MatConstIterator_ |
| Matrix read-only iterator. More...
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class | MatIterator_ |
| Matrix read-write iterator. More...
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class | MatCommaInitializer_ |
| Comma-separated Matrix Initializer. More...
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class | MatxCommaInitializer |
class | VecCommaInitializer |
class | AutoBuffer |
| Automatically Allocated Buffer Class. More...
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class | NAryMatIterator |
| n-Dimensional Dense Matrix Iterator Class. More...
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class | SparseMat |
| Sparse matrix class. More...
|
class | SparseMatConstIterator |
| Read-Only Sparse Matrix Iterator. More...
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class | SparseMatIterator |
| Read-write Sparse Matrix Iterator. More...
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class | SparseMat_ |
| The Template Sparse Matrix class derived from cv::SparseMat. More...
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class | SparseMatConstIterator_ |
| Template Read-Only Sparse Matrix Iterator Class. More...
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class | SparseMatIterator_ |
| Template Read-Write Sparse Matrix Iterator Class. More...
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class | KDTree |
| Fast Nearest Neighbor Search Class. More...
|
class | FileStorage |
| XML/YAML File Storage Class. More...
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class | FileNode |
| File Storage Node class. More...
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class | FileNodeIterator |
| File Node Iterator. More...
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class | Seq |
| Template Sequence Class derived from CvSeq. More...
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class | SeqIterator |
| STL-style Sequence Iterator inherited from the CvSeqReader structure. More...
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class | Algorithm |
| Base class for high-level OpenCV algorithms. More...
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class | CommandLineParser |
| Command Line Parser. More...
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class | BlockedRange |
class | Split |
class | MatOp |
class | MatExpr |
struct | Matx_DetOp |
struct | Matx_DetOp< _Tp, 1 > |
struct | Matx_DetOp< _Tp, 2 > |
struct | Matx_DetOp< _Tp, 3 > |
struct | Matx_FastInvOp |
struct | Matx_FastInvOp< _Tp, 2 > |
struct | Matx_FastInvOp< _Tp, 3 > |
struct | Matx_FastSolveOp |
struct | Matx_FastSolveOp< _Tp, 2, 1 > |
struct | Matx_FastSolveOp< _Tp, 3, 1 > |
class | Vector |
class | WriteStructContext |
class | VecWriterProxy |
class | VecWriterProxy< _Tp, 1 > |
class | VecReaderProxy |
class | VecReaderProxy< _Tp, 1 > |
class | LessThan |
class | GreaterEq |
class | LessThanIdx |
class | GreaterEqIdx |
struct | RTTIImpl |
class | Formatter |
struct | Formatted |
class | WImage |
class | WImageC |
class | WImageBuffer |
class | WImageBufferC |
class | WImageView |
class | WImageViewC |
struct | DefaultRngAuto |
class | CvAffinePose |
class | KeyPoint |
| The Keypoint Class. More...
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class | KeyPointsFilter |
class | SIFT |
| SIFT implementation. More...
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class | SURF |
| SURF implementation. More...
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class | ORB |
| ORB implementation. More...
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class | MSER |
| Maximal Stable Extremal Regions class. More...
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class | StarDetector |
| The "Star" Detector. More...
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class | PatchGenerator |
| The Patch Generator class. More...
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class | LDetector |
class | FernClassifier |
struct | BaseKeypoint |
class | RandomizedTree |
struct | RTreeNode |
class | RTreeClassifier |
class | OneWayDescriptor |
class | OneWayDescriptorBase |
class | OneWayDescriptorObject |
class | FeatureDetector |
class | FastFeatureDetector |
class | GoodFeaturesToTrackDetector |
class | MserFeatureDetector |
class | StarFeatureDetector |
class | SiftFeatureDetector |
class | SurfFeatureDetector |
class | OrbFeatureDetector |
class | SimpleBlobDetector |
class | DenseFeatureDetector |
class | GridAdaptedFeatureDetector |
class | PyramidAdaptedFeatureDetector |
class | AdjusterAdapter |
| A feature detector parameter adjuster, this is used by the DynamicAdaptedFeatureDetector and is a wrapper for FeatureDetector that allow them to be adjusted after a detection. More...
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class | DynamicAdaptedFeatureDetector |
| an adaptively adjusting detector that iteratively detects until the desired number of features are detected. Beware that this is not thread safe - as the adjustment of parameters breaks the const of the detection routine... /TODO Make this const correct and thread safe More...
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class | FastAdjuster |
| an adjust for the FAST detector. This will basically decrement or increment the threshold by 1 More...
|
class | StarAdjuster |
class | SurfAdjuster |
class | DescriptorExtractor |
class | SiftDescriptorExtractor |
class | SurfDescriptorExtractor |
class | OrbDescriptorExtractor |
class | CalonderDescriptorExtractor |
class | OpponentColorDescriptorExtractor |
class | BriefDescriptorExtractor |
struct | Accumulator |
struct | Accumulator< unsigned char > |
struct | Accumulator< unsigned short > |
struct | Accumulator< char > |
struct | Accumulator< short > |
struct | L2 |
struct | L1 |
struct | HammingLUT |
struct | Hamming |
struct | DMatch |
class | DescriptorMatcher |
class | BruteForceMatcher |
class | FlannBasedMatcher |
class | GenericDescriptorMatcher |
class | OneWayDescriptorMatcher |
class | FernDescriptorMatcher |
class | VectorDescriptorMatcher |
struct | DrawMatchesFlags |
class | BOWTrainer |
class | BOWKMeansTrainer |
class | BOWImgDescriptorExtractor |
class | VideoCapture |
class | VideoWriter |
class | BaseRowFilter |
| The Base Class for 1D or Row-wise Filters. More...
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class | BaseColumnFilter |
| The Base Class for Column-wise Filters. More...
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class | BaseFilter |
| The Base Class for Non-Separable 2D Filters. More...
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class | FilterEngine |
| The Main Class for Image Filtering. More...
|
class | Moments |
| raster image moments More...
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class | FeatureEvaluator |
class | CascadeClassifier |
struct | HOGDescriptor |
class | PlanarObjectDetector |
struct | DataMatrixCode |
class | BackgroundSubtractor |
| The Base Class for Background/Foreground Segmentation. More...
|
class | BackgroundSubtractorMOG |
| Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm. More...
|
class | BackgroundSubtractorMOG2 |
class | KalmanFilter |
| Kalman filter. More...
|
Typedefs |
typedef bool(* | BundleAdjustCallback )(int iteration, double norm_error, void *user_data) |
typedef std::string | String |
typedef std::basic_string
< wchar_t > | WString |
typedef Mat | MatND |
typedef int(CV_CDECL * | ErrorCallback )(int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata) |
typedef Matx< float, 1, 2 > | Matx12f |
typedef Matx< double, 1, 2 > | Matx12d |
typedef Matx< float, 1, 3 > | Matx13f |
typedef Matx< double, 1, 3 > | Matx13d |
typedef Matx< float, 1, 4 > | Matx14f |
typedef Matx< double, 1, 4 > | Matx14d |
typedef Matx< float, 1, 6 > | Matx16f |
typedef Matx< double, 1, 6 > | Matx16d |
typedef Matx< float, 2, 1 > | Matx21f |
typedef Matx< double, 2, 1 > | Matx21d |
typedef Matx< float, 3, 1 > | Matx31f |
typedef Matx< double, 3, 1 > | Matx31d |
typedef Matx< float, 4, 1 > | Matx41f |
typedef Matx< double, 4, 1 > | Matx41d |
typedef Matx< float, 6, 1 > | Matx61f |
typedef Matx< double, 6, 1 > | Matx61d |
typedef Matx< float, 2, 2 > | Matx22f |
typedef Matx< double, 2, 2 > | Matx22d |
typedef Matx< float, 2, 3 > | Matx23f |
typedef Matx< double, 2, 3 > | Matx23d |
typedef Matx< float, 3, 2 > | Matx32f |
typedef Matx< double, 3, 2 > | Matx32d |
typedef Matx< float, 3, 3 > | Matx33f |
typedef Matx< double, 3, 3 > | Matx33d |
typedef Matx< float, 3, 4 > | Matx34f |
typedef Matx< double, 3, 4 > | Matx34d |
typedef Matx< float, 4, 3 > | Matx43f |
typedef Matx< double, 4, 3 > | Matx43d |
typedef Matx< float, 4, 4 > | Matx44f |
typedef Matx< double, 4, 4 > | Matx44d |
typedef Matx< float, 6, 6 > | Matx66f |
typedef Matx< double, 6, 6 > | Matx66d |
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 |
typedef Complex< float > | Complexf |
typedef Complex< double > | Complexd |
typedef Point_< int > | Point2i |
typedef Point2i | Point |
typedef Size_< int > | Size2i |
typedef Size2i | Size |
typedef Rect_< int > | Rect |
typedef Point_< float > | Point2f |
typedef Point_< double > | Point2d |
typedef Size_< float > | Size2f |
typedef Point3_< int > | Point3i |
typedef Point3_< float > | Point3f |
typedef Point3_< double > | Point3d |
typedef Scalar_< double > | Scalar |
typedef const _InputArray & | InputArray |
typedef InputArray | InputArrayOfArrays |
typedef const _OutputArray & | OutputArray |
typedef OutputArray | OutputArrayOfArrays |
typedef OutputArray | InputOutputArray |
typedef Mat_< uchar > | Mat1b |
typedef Mat_< Vec2b > | Mat2b |
typedef Mat_< Vec3b > | Mat3b |
typedef Mat_< Vec4b > | Mat4b |
typedef Mat_< short > | Mat1s |
typedef Mat_< Vec2s > | Mat2s |
typedef Mat_< Vec3s > | Mat3s |
typedef Mat_< Vec4s > | Mat4s |
typedef Mat_< ushort > | Mat1w |
typedef Mat_< Vec2w > | Mat2w |
typedef Mat_< Vec3w > | Mat3w |
typedef Mat_< Vec4w > | Mat4w |
typedef Mat_< int > | Mat1i |
typedef Mat_< Vec2i > | Mat2i |
typedef Mat_< Vec3i > | Mat3i |
typedef Mat_< Vec4i > | Mat4i |
typedef Mat_< float > | Mat1f |
typedef Mat_< Vec2f > | Mat2f |
typedef Mat_< Vec3f > | Mat3f |
typedef Mat_< Vec4f > | Mat4f |
typedef Mat_< double > | Mat1d |
typedef Mat_< Vec2d > | Mat2d |
typedef Mat_< Vec3d > | Mat3d |
typedef Mat_< Vec4d > | Mat4d |
typedef void(* | ConvertData )(const void *from, void *to, int cn) |
typedef void(* | ConvertScaleData )(const void *from, void *to, int cn, double alpha, double beta) |
typedef Ptr< CvMemStorage > | MemStorage |
typedef tbb::blocked_range< int > | BlockedRange |
typedef tbb::split | Split |
typedef tbb::concurrent_vector
< Rect > | ConcurrentRectVector |
typedef WImage< uchar > | WImage_b |
typedef WImageView< uchar > | WImageView_b |
typedef WImageBuffer< uchar > | WImageBuffer_b |
typedef WImageC< uchar, 1 > | WImage1_b |
typedef WImageViewC< uchar, 1 > | WImageView1_b |
typedef WImageBufferC< uchar, 1 > | WImageBuffer1_b |
typedef WImageC< uchar, 3 > | WImage3_b |
typedef WImageViewC< uchar, 3 > | WImageView3_b |
typedef WImageBufferC< uchar, 3 > | WImageBuffer3_b |
typedef WImage< float > | WImage_f |
typedef WImageView< float > | WImageView_f |
typedef WImageBuffer< float > | WImageBuffer_f |
typedef WImageC< float, 1 > | WImage1_f |
typedef WImageViewC< float, 1 > | WImageView1_f |
typedef WImageBufferC< float, 1 > | WImageBuffer1_f |
typedef WImageC< float, 3 > | WImage3_f |
typedef WImageViewC< float, 3 > | WImageView3_f |
typedef WImageBufferC< float, 3 > | WImageBuffer3_f |
typedef WImage< short > | WImage_16s |
typedef WImageView< short > | WImageView_16s |
typedef WImageBuffer< short > | WImageBuffer_16s |
typedef WImageC< short, 1 > | WImage1_16s |
typedef WImageViewC< short, 1 > | WImageView1_16s |
typedef WImageBufferC< short, 1 > | WImageBuffer1_16s |
typedef WImageC< short, 3 > | WImage3_16s |
typedef WImageViewC< short, 3 > | WImageView3_16s |
typedef WImageBufferC< short, 3 > | WImageBuffer3_16s |
typedef WImage< ushort > | WImage_16u |
typedef WImageView< ushort > | WImageView_16u |
typedef WImageBuffer< ushort > | WImageBuffer_16u |
typedef WImageC< ushort, 1 > | WImage1_16u |
typedef WImageViewC< ushort, 1 > | WImageView1_16u |
typedef WImageBufferC< ushort, 1 > | WImageBuffer1_16u |
typedef WImageC< ushort, 3 > | WImage3_16u |
typedef WImageViewC< ushort, 3 > | WImageView3_16u |
typedef WImageBufferC< ushort, 3 > | WImageBuffer3_16u |
typedef LDetector | YAPE |
typedef GenericDescriptorMatcher | GenericDescriptorMatch |
typedef OneWayDescriptorMatcher | OneWayDescriptorMatch |
typedef FernDescriptorMatcher | FernDescriptorMatch |
typedef VectorDescriptorMatcher | VectorDescriptorMatch |
typedef void(CV_CDECL * | OpenGLCallback )(void *userdata) |
typedef void(CV_CDECL * | ButtonCallback )(int state, void *userdata) |
typedef void(CV_CDECL * | TrackbarCallback )(int pos, void *userdata) |
typedef void(* | MouseCallback )(int event, int x, int y, int flags, void *param) |
typedef CvStatModel | StatModel |
typedef CvParamGrid | ParamGrid |
typedef CvNormalBayesClassifier | NormalBayesClassifier |
typedef CvKNearest | KNearest |
typedef CvSVMParams | SVMParams |
typedef CvSVMKernel | SVMKernel |
typedef CvSVMSolver | SVMSolver |
typedef CvSVM | SVM |
typedef CvEMParams | EMParams |
typedef CvEM | ExpectationMaximization |
typedef CvDTreeParams | DTreeParams |
typedef CvMLData | TrainData |
typedef CvDTree | DecisionTree |
typedef CvForestTree | ForestTree |
typedef CvRTParams | RandomTreeParams |
typedef CvRTrees | RandomTrees |
typedef CvERTreeTrainData | ERTreeTRainData |
typedef CvForestERTree | ERTree |
typedef CvERTrees | ERTrees |
typedef CvBoostParams | BoostParams |
typedef CvBoostTree | BoostTree |
typedef CvBoost | Boost |
typedef CvANN_MLP_TrainParams | ANN_MLP_TrainParams |
typedef CvANN_MLP | NeuralNet_MLP |
typedef CvGBTreesParams | GradientBoostingTreeParams |
typedef CvGBTrees | GradientBoostingTrees |
Enumerations |
enum | { LMEDS = CV_LMEDS,
RANSAC = CV_RANSAC
} |
| 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
} |
enum | { CALIB_CB_SYMMETRIC_GRID = 1,
CALIB_CB_ASYMMETRIC_GRID = 2,
CALIB_CB_CLUSTERING = 4
} |
enum | {
CALIB_USE_INTRINSIC_GUESS = CV_CALIB_USE_INTRINSIC_GUESS,
CALIB_FIX_ASPECT_RATIO = CV_CALIB_FIX_ASPECT_RATIO,
CALIB_FIX_PRINCIPAL_POINT = CV_CALIB_FIX_PRINCIPAL_POINT,
CALIB_ZERO_TANGENT_DIST = CV_CALIB_ZERO_TANGENT_DIST,
CALIB_FIX_FOCAL_LENGTH = CV_CALIB_FIX_FOCAL_LENGTH,
CALIB_FIX_K1 = CV_CALIB_FIX_K1,
CALIB_FIX_K2 = CV_CALIB_FIX_K2,
CALIB_FIX_K3 = CV_CALIB_FIX_K3,
CALIB_FIX_K4 = CV_CALIB_FIX_K4,
CALIB_FIX_K5 = CV_CALIB_FIX_K5,
CALIB_FIX_K6 = CV_CALIB_FIX_K6,
CALIB_RATIONAL_MODEL = CV_CALIB_RATIONAL_MODEL,
CALIB_FIX_INTRINSIC = CV_CALIB_FIX_INTRINSIC,
CALIB_SAME_FOCAL_LENGTH = CV_CALIB_SAME_FOCAL_LENGTH,
CALIB_ZERO_DISPARITY = CV_CALIB_ZERO_DISPARITY
} |
enum | { FM_7POINT = CV_FM_7POINT,
FM_8POINT = CV_FM_8POINT,
FM_LMEDS = CV_FM_LMEDS,
FM_RANSAC = CV_FM_RANSAC
} |
| the algorithm for finding fundamental matrix More...
|
enum | {
DECOMP_LU = 0,
DECOMP_SVD = 1,
DECOMP_EIG = 2,
DECOMP_CHOLESKY = 3,
DECOMP_QR = 4,
DECOMP_NORMAL = 16
} |
enum | {
NORM_INF = 1,
NORM_L1 = 2,
NORM_L2 = 4,
NORM_TYPE_MASK = 7,
NORM_RELATIVE = 8,
NORM_MINMAX = 32
} |
enum | {
CMP_EQ = 0,
CMP_GT = 1,
CMP_GE = 2,
CMP_LT = 3,
CMP_LE = 4,
CMP_NE = 5
} |
enum | { GEMM_1_T = 1,
GEMM_2_T = 2,
GEMM_3_T = 4
} |
enum | {
DFT_INVERSE = 1,
DFT_SCALE = 2,
DFT_ROWS = 4,
DFT_COMPLEX_OUTPUT = 16,
DFT_REAL_OUTPUT = 32,
DCT_INVERSE = DFT_INVERSE,
DCT_ROWS = DFT_ROWS
} |
enum | {
DEPTH_MASK_8U = 1 << CV_8U,
DEPTH_MASK_8S = 1 << CV_8S,
DEPTH_MASK_16U = 1 << CV_16U,
DEPTH_MASK_16S = 1 << CV_16S,
DEPTH_MASK_32S = 1 << CV_32S,
DEPTH_MASK_32F = 1 << CV_32F,
DEPTH_MASK_64F = 1 << CV_64F,
DEPTH_MASK_ALL = (DEPTH_MASK_64F<<1)-1,
DEPTH_MASK_ALL_BUT_8S = DEPTH_MASK_ALL & ~DEPTH_MASK_8S,
DEPTH_MASK_FLT = DEPTH_MASK_32F + DEPTH_MASK_64F
} |
enum | { MAGIC_MASK = 0xFFFF0000,
TYPE_MASK = 0x00000FFF,
DEPTH_MASK = 7
} |
enum | { KMEANS_RANDOM_CENTERS = 0,
KMEANS_PP_CENTERS = 2,
KMEANS_USE_INITIAL_LABELS = 1
} |
| Various k-Means flags. More...
|
enum | {
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 | { WINDOW_AUTOSIZE = 1
} |
enum | {
BORDER_REPLICATE = IPL_BORDER_REPLICATE,
BORDER_CONSTANT = IPL_BORDER_CONSTANT,
BORDER_REFLECT = IPL_BORDER_REFLECT,
BORDER_WRAP = IPL_BORDER_WRAP,
BORDER_REFLECT_101 = IPL_BORDER_REFLECT_101,
BORDER_REFLECT101 = BORDER_REFLECT_101,
BORDER_TRANSPARENT = IPL_BORDER_TRANSPARENT,
BORDER_DEFAULT = BORDER_REFLECT_101,
BORDER_ISOLATED = 16
} |
| various border interpolation methods More...
|
enum | {
KERNEL_GENERAL = 0,
KERNEL_SYMMETRICAL = 1,
KERNEL_ASYMMETRICAL = 2,
KERNEL_SMOOTH = 4,
KERNEL_INTEGER = 8
} |
| type of the kernel More...
|
enum | {
MORPH_ERODE = CV_MOP_ERODE,
MORPH_DILATE = CV_MOP_DILATE,
MORPH_OPEN = CV_MOP_OPEN,
MORPH_CLOSE = CV_MOP_CLOSE,
MORPH_GRADIENT = CV_MOP_GRADIENT,
MORPH_TOPHAT = CV_MOP_TOPHAT,
MORPH_BLACKHAT = CV_MOP_BLACKHAT
} |
| type of morphological operation More...
|
enum | { MORPH_RECT = 0,
MORPH_CROSS = 1,
MORPH_ELLIPSE = 2
} |
| shape of the structuring element More...
|
enum | {
INTER_NEAREST = CV_INTER_NN,
INTER_LINEAR = CV_INTER_LINEAR,
INTER_CUBIC = CV_INTER_CUBIC,
INTER_AREA = CV_INTER_AREA,
INTER_LANCZOS4 = CV_INTER_LANCZOS4,
INTER_MAX = 7,
WARP_INVERSE_MAP = CV_WARP_INVERSE_MAP
} |
| interpolation algorithm More...
|
enum | { INTER_BITS = 5,
INTER_BITS2 = INTER_BITS*2,
INTER_TAB_SIZE = (1<<INTER_BITS),
INTER_TAB_SIZE2 = INTER_TAB_SIZE*INTER_TAB_SIZE
} |
enum | {
THRESH_BINARY = CV_THRESH_BINARY,
THRESH_BINARY_INV = CV_THRESH_BINARY_INV,
THRESH_TRUNC = CV_THRESH_TRUNC,
THRESH_TOZERO = CV_THRESH_TOZERO,
THRESH_TOZERO_INV = CV_THRESH_TOZERO_INV,
THRESH_MASK = CV_THRESH_MASK,
THRESH_OTSU = CV_THRESH_OTSU
} |
| type of the threshold operation More...
|
enum | { ADAPTIVE_THRESH_MEAN_C = 0,
ADAPTIVE_THRESH_GAUSSIAN_C = 1
} |
| adaptive threshold algorithm More...
|
enum | { PROJ_SPHERICAL_ORTHO = 0,
PROJ_SPHERICAL_EQRECT = 1
} |
enum | { GC_BGD = 0,
GC_FGD = 1,
GC_PR_BGD = 2,
GC_PR_FGD = 3
} |
| class of the pixel in GrabCut algorithm More...
|
enum | { GC_INIT_WITH_RECT = 0,
GC_INIT_WITH_MASK = 1,
GC_EVAL = 2
} |
| GrabCut algorithm flags. More...
|
enum | { INPAINT_NS = CV_INPAINT_NS,
INPAINT_TELEA = CV_INPAINT_TELEA
} |
| the inpainting algorithm More...
|
enum | { FLOODFILL_FIXED_RANGE = 1 << 16,
FLOODFILL_MASK_ONLY = 1 << 17
} |
enum | {
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 | { RETR_EXTERNAL = CV_RETR_EXTERNAL,
RETR_LIST = CV_RETR_LIST,
RETR_CCOMP = CV_RETR_CCOMP,
RETR_TREE = CV_RETR_TREE
} |
| mode of the contour retrieval algorithm More...
|
enum | { CHAIN_APPROX_NONE = CV_CHAIN_APPROX_NONE,
CHAIN_APPROX_SIMPLE = CV_CHAIN_APPROX_SIMPLE,
CHAIN_APPROX_TC89_L1 = CV_CHAIN_APPROX_TC89_L1,
CHAIN_APPROX_TC89_KCOS = CV_CHAIN_APPROX_TC89_KCOS
} |
| the contour approximation algorithm More...
|
enum | { OPTFLOW_USE_INITIAL_FLOW = 4,
OPTFLOW_FARNEBACK_GAUSSIAN = 256
} |
Functions |
CV_EXPORTS_W void | Rodrigues (InputArray src, OutputArray dst, OutputArray jacobian=noArray()) |
| converts rotation vector to rotation matrix or vice versa using Rodrigues transformation
|
CV_EXPORTS_W Mat | findHomography (InputArray srcPoints, InputArray dstPoints, int method=0, double ransacReprojThreshold=3, OutputArray mask=noArray()) |
| computes the best-fit perspective transformation mapping srcPoints to dstPoints.
|
CV_EXPORTS Mat | findHomography (InputArray srcPoints, InputArray dstPoints, OutputArray mask, int method=0, double ransacReprojThreshold=3) |
| variant of findHomography for backward compatibility
|
CV_EXPORTS_W Vec3d | RQDecomp3x3 (InputArray src, OutputArray mtxR, OutputArray mtxQ, OutputArray Qx=noArray(), OutputArray Qy=noArray(), OutputArray Qz=noArray()) |
| Computes RQ decomposition of 3x3 matrix.
|
CV_EXPORTS_W void | decomposeProjectionMatrix (InputArray projMatrix, OutputArray cameraMatrix, OutputArray rotMatrix, OutputArray transVect, OutputArray rotMatrixX=noArray(), OutputArray rotMatrixY=noArray(), OutputArray rotMatrixZ=noArray(), OutputArray eulerAngles=noArray()) |
| Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector.
|
CV_EXPORTS_W void | matMulDeriv (InputArray A, InputArray B, OutputArray dABdA, OutputArray dABdB) |
| computes derivatives of the matrix product w.r.t each of the multiplied matrix coefficients
|
CV_EXPORTS_W 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()) |
| composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments
|
CV_EXPORTS_W void | projectPoints (InputArray objectPoints, InputArray rvec, InputArray tvec, InputArray cameraMatrix, InputArray distCoeffs, OutputArray imagePoints, OutputArray jacobian=noArray(), double aspectRatio=0) |
| projects points from the model coordinate space to the image coordinates. Also computes derivatives of the image coordinates w.r.t the intrinsic and extrinsic camera parameters
|
CV_EXPORTS_W void | solvePnP (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess=false) |
| computes the camera pose from a few 3D points and the corresponding projections. The outliers are not handled.
|
CV_EXPORTS_W void | solvePnPRansac (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess=false, int iterationsCount=100, float reprojectionError=8.0, int minInliersCount=100, OutputArray inliers=noArray()) |
| computes the camera pose from a few 3D points and the corresponding projections. The outliers are possible.
|
CV_EXPORTS_W Mat | initCameraMatrix2D (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, double aspectRatio=1.) |
| initializes camera matrix from a few 3D points and the corresponding projections.
|
CV_EXPORTS_W bool | findChessboardCorners (InputArray image, Size patternSize, OutputArray corners, int flags=CALIB_CB_ADAPTIVE_THRESH+CALIB_CB_NORMALIZE_IMAGE) |
| finds checkerboard pattern of the specified size in the image
|
CV_EXPORTS bool | find4QuadCornerSubpix (InputArray img, InputOutputArray corners, Size region_size) |
| finds subpixel-accurate positions of the chessboard corners
|
CV_EXPORTS_W void | drawChessboardCorners (InputOutputArray image, Size patternSize, InputArray corners, bool patternWasFound) |
| draws the checkerboard pattern (found or partly found) in the image
|
CV_EXPORTS bool | findCirclesGrid (InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr< FeatureDetector > &blobDetector=new SimpleBlobDetector()) |
| finds circles' grid pattern of the specified size in the image
|
CV_EXPORTS_W double | calibrateCamera (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, CV_IN_OUT InputOutputArray cameraMatrix, CV_IN_OUT InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags=0) |
| finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.
|
CV_EXPORTS_W void | calibrationMatrixValues (InputArray cameraMatrix, Size imageSize, double apertureWidth, double apertureHeight, CV_OUT double &fovx, CV_OUT double &fovy, CV_OUT double &focalLength, CV_OUT Point2d &principalPoint, CV_OUT double &aspectRatio) |
| computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size.
|
CV_EXPORTS_W double | stereoCalibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, CV_IN_OUT InputOutputArray cameraMatrix1, CV_IN_OUT InputOutputArray distCoeffs1, CV_IN_OUT InputOutputArray cameraMatrix2, CV_IN_OUT InputOutputArray distCoeffs2, Size imageSize, OutputArray R, OutputArray T, OutputArray E, OutputArray F, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 1e-6), int flags=CALIB_FIX_INTRINSIC) |
| finds intrinsic and extrinsic parameters of a stereo camera
|
CV_EXPORTS void | stereoRectify (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, Size imageSize, InputArray R, InputArray T, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags=CALIB_ZERO_DISPARITY, double alpha=-1, Size newImageSize=Size(), CV_OUT Rect *validPixROI1=0, CV_OUT Rect *validPixROI2=0) |
| computes the rectification transformation for a stereo camera from its intrinsic and extrinsic parameters
|
CV_EXPORTS_W bool | stereoRectifyUncalibrated (InputArray points1, InputArray points2, InputArray F, Size imgSize, OutputArray H1, OutputArray H2, double threshold=5) |
| computes the rectification transformation for an uncalibrated stereo camera (zero distortion is assumed)
|
CV_EXPORTS_W float | rectify3Collinear (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, InputArray cameraMatrix3, InputArray distCoeffs3, InputArrayOfArrays imgpt1, InputArrayOfArrays imgpt3, Size imageSize, InputArray R12, InputArray T12, InputArray R13, InputArray T13, OutputArray R1, OutputArray R2, OutputArray R3, OutputArray P1, OutputArray P2, OutputArray P3, OutputArray Q, double alpha, Size newImgSize, CV_OUT Rect *roi1, CV_OUT Rect *roi2, int flags) |
| computes the rectification transformations for 3-head camera, where all the heads are on the same line.
|
CV_EXPORTS_W Mat | getOptimalNewCameraMatrix (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, double alpha, Size newImgSize=Size(), CV_OUT Rect *validPixROI=0) |
| returns the optimal new camera matrix
|
CV_EXPORTS_W void | convertPointsToHomogeneous (InputArray src, OutputArray dst) |
| converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1))
|
CV_EXPORTS_W void | convertPointsFromHomogeneous (InputArray src, OutputArray dst) |
| converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z))
|
CV_EXPORTS void | convertPointsHomogeneous (InputArray src, OutputArray dst) |
| for backward compatibility
|
CV_EXPORTS_W Mat | findFundamentalMat (InputArray points1, InputArray points2, int method=FM_RANSAC, double param1=3., double param2=0.99, OutputArray mask=noArray()) |
| finds fundamental matrix from a set of corresponding 2D points
|
CV_EXPORTS Mat | findFundamentalMat (InputArray points1, InputArray points2, OutputArray mask, int method=FM_RANSAC, double param1=3., double param2=0.99) |
| variant of findFundamentalMat for backward compatibility
|
CV_EXPORTS void | computeCorrespondEpilines (InputArray points1, int whichImage, InputArray F, OutputArray lines) |
| finds coordinates of epipolar lines corresponding the specified points
|
CV_EXPORTS_W void | filterSpeckles (InputOutputArray img, double newVal, int maxSpeckleSize, double maxDiff, InputOutputArray buf=noArray()) |
| filters off speckles (small regions of incorrectly computed disparity)
|
CV_EXPORTS_W Rect | getValidDisparityROI (Rect roi1, Rect roi2, int minDisparity, int numberOfDisparities, int SADWindowSize) |
| computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify())
|
CV_EXPORTS_W void | validateDisparity (InputOutputArray disparity, InputArray cost, int minDisparity, int numberOfDisparities, int disp12MaxDisp=1) |
| validates disparity using the left-right check. The matrix "cost" should be computed by the stereo correspondence algorithm
|
CV_EXPORTS_W void | reprojectImageTo3D (InputArray disparity, OutputArray _3dImage, InputArray Q, bool handleMissingValues=false, int ddepth=-1) |
| reprojects disparity image to 3D: (x,y,d)->(X,Y,Z) using the matrix Q returned by cv::stereoRectify
|
CV_EXPORTS_W int | estimateAffine3D (InputArray _from, InputArray _to, OutputArray _out, OutputArray _inliers, double param1=3, double param2=0.99) |
CV_EXPORTS std::ostream & | operator<< (std::ostream &out, const TickMeter &tm) |
CV_EXPORTS int | chamerMatching (Mat &img, Mat &templ, vector< vector< Point > > &results, vector< float > &cost, double templScale=1, int maxMatches=20, double minMatchDistance=1.0, int padX=3, int padY=3, int scales=5, double minScale=0.6, double maxScale=1.6, double orientationWeight=0.5, double truncate=20) |
CV_EXPORTS void | polyfit (const Mat &srcx, const Mat &srcy, Mat &dst, int order) |
CV_EXPORTS string | fromUtf16 (const WString &str) |
CV_EXPORTS WString | toUtf16 (const string &str) |
CV_EXPORTS string | format (const char *fmt,...) |
CV_EXPORTS string | tempfile (const char *suffix CV_DEFAULT(0)) |
CV_EXPORTS void | error (const Exception &exc) |
| Signals an error and raises the exception.
|
CV_EXPORTS bool | setBreakOnError (bool flag) |
| Sets/resets the break-on-error mode.
|
CV_EXPORTS ErrorCallback | redirectError (ErrorCallback errCallback, void *userdata=0, void **prevUserdata=0) |
| Sets the new error handler and the optional user data.
|
CV_EXPORTS void | setNumThreads (int nthreads) |
CV_EXPORTS int | getNumThreads () |
CV_EXPORTS int | getThreadNum () |
CV_EXPORTS int64 | getTickCount () |
| Returns the number of ticks.
|
CV_EXPORTS_W double | getTickFrequency () |
| Returns the number of ticks per seconds.
|
CV_EXPORTS int64 | getCPUTickCount () |
| Returns the number of CPU ticks.
|
CV_EXPORTS_W bool | checkHardwareSupport (int feature) |
| Returns SSE etc.
|
CV_EXPORTS void * | fastMalloc (size_t bufSize) |
| Allocates memory buffer.
|
CV_EXPORTS void | fastFree (void *ptr) |
| Frees the memory allocated with cv::fastMalloc.
|
CV_EXPORTS_W void | setUseOptimized (bool onoff) |
| Turns on/off available optimization.
|
CV_EXPORTS_W bool | useOptimized () |
| Returns the current optimization status.
|
CV_EXPORTS void | scalarToRawData (const Scalar &s, void *buf, int type, int unroll_to=0) |
CV_EXPORTS OutputArray | noArray () |
CV_EXPORTS void | swap (Mat &a, Mat &b) |
| swaps two matrices
|
CV_EXPORTS Mat | cvarrToMat (const CvArr *arr, bool copyData=false, bool allowND=true, int coiMode=0) |
| converts array (CvMat or IplImage) to cv::Mat
|
CV_EXPORTS void | extractImageCOI (const CvArr *arr, OutputArray coiimg, int coi=-1) |
| extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it.
|
CV_EXPORTS void | insertImageCOI (InputArray coiimg, CvArr *arr, int coi=-1) |
| inserts single-channel cv::Mat into a multi-channel CvMat or IplImage
|
CV_EXPORTS_W void | add (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1) |
| adds one matrix to another (dst = src1 + src2)
|
CV_EXPORTS_W void | subtract (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1) |
| subtracts one matrix from another (dst = src1 - src2)
|
CV_EXPORTS_W void | multiply (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1) |
| computes element-wise weighted product of the two arrays (dst = scale*src1*src2)
|
CV_EXPORTS_W void | divide (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1) |
| computes element-wise weighted quotient of the two arrays (dst = scale*src1/src2)
|
CV_EXPORTS_W void | divide (double scale, InputArray src2, OutputArray dst, int dtype=-1) |
| computes element-wise weighted reciprocal of an array (dst = scale/src2)
|
CV_EXPORTS_W void | scaleAdd (InputArray src1, double alpha, InputArray src2, OutputArray dst) |
| adds scaled array to another one (dst = alpha*src1 + src2)
|
CV_EXPORTS_W void | addWeighted (InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1) |
| computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma)
|
CV_EXPORTS_W void | convertScaleAbs (InputArray src, OutputArray dst, double alpha=1, double beta=0) |
| scales array elements, computes absolute values and converts the results to 8-bit unsigned integers: dst(i)=saturate_cast<uchar>abs(src(i)*alpha+beta)
|
CV_EXPORTS_W void | LUT (InputArray src, InputArray lut, OutputArray dst, int interpolation=0) |
| transforms array of numbers using a lookup table: dst(i)=lut(src(i))
|
| CV_EXPORTS_AS (sumElems) Scalar sum(InputArray src) |
| computes sum of array elements
|
CV_EXPORTS_W int | countNonZero (InputArray src) |
| computes the number of nonzero array elements
|
CV_EXPORTS_W Scalar | mean (InputArray src, InputArray mask=noArray()) |
| computes mean value of selected array elements
|
CV_EXPORTS_W void | meanStdDev (InputArray src, OutputArray mean, OutputArray stddev, InputArray mask=noArray()) |
| computes mean value and standard deviation of all or selected array elements
|
CV_EXPORTS_W double | norm (InputArray src1, int normType=NORM_L2, InputArray mask=noArray()) |
| computes norm of the selected array part
|
CV_EXPORTS_W double | norm (InputArray src1, InputArray src2, int normType=NORM_L2, InputArray mask=noArray()) |
| computes norm of selected part of the difference between two arrays
|
CV_EXPORTS_W void | normalize (InputArray src, OutputArray dst, double alpha=1, double beta=0, int norm_type=NORM_L2, int dtype=-1, InputArray mask=noArray()) |
| scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values
|
CV_EXPORTS_W void | minMaxLoc (InputArray src, CV_OUT double *minVal, CV_OUT double *maxVal=0, CV_OUT Point *minLoc=0, CV_OUT Point *maxLoc=0, InputArray mask=noArray()) |
| finds global minimum and maximum array elements and returns their values and their locations
|
CV_EXPORTS void | minMaxIdx (InputArray src, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0, InputArray mask=noArray()) |
CV_EXPORTS_W void | reduce (InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1) |
| transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows
|
CV_EXPORTS void | merge (const Mat *mv, size_t count, OutputArray dst) |
| makes multi-channel array out of several single-channel arrays
|
CV_EXPORTS_W void | merge (const vector< Mat > &mv, OutputArray dst) |
| makes multi-channel array out of several single-channel arrays
|
CV_EXPORTS void | split (const Mat &src, Mat *mvbegin) |
| copies each plane of a multi-channel array to a dedicated array
|
CV_EXPORTS_W void | split (const Mat &m, vector< Mat > &mv) |
| copies each plane of a multi-channel array to a dedicated array
|
CV_EXPORTS void | mixChannels (const Mat *src, size_t nsrcs, Mat *dst, size_t ndsts, const int *fromTo, size_t npairs) |
| copies selected channels from the input arrays to the selected channels of the output arrays
|
CV_EXPORTS void | mixChannels (const vector< Mat > &src, vector< Mat > &dst, const int *fromTo, size_t npairs) |
CV_EXPORTS_W void | extractChannel (InputArray src, OutputArray dst, int coi) |
| extracts a single channel from src (coi is 0-based index)
|
CV_EXPORTS_W void | insertChannel (InputArray src, InputOutputArray dst, int coi) |
| inserts a single channel to dst (coi is 0-based index)
|
CV_EXPORTS_W void | flip (InputArray src, OutputArray dst, int flipCode) |
| reverses the order of the rows, columns or both in a matrix
|
CV_EXPORTS_W void | repeat (InputArray src, int ny, int nx, OutputArray dst) |
| replicates the input matrix the specified number of times in the horizontal and/or vertical direction
|
CV_EXPORTS Mat | repeat (const Mat &src, int ny, int nx) |
CV_EXPORTS void | hconcat (const Mat *src, size_t nsrc, OutputArray dst) |
CV_EXPORTS void | hconcat (InputArray src1, InputArray src2, OutputArray dst) |
CV_EXPORTS_W void | hconcat (InputArray src, OutputArray dst) |
CV_EXPORTS void | vconcat (const Mat *src, size_t nsrc, OutputArray dst) |
CV_EXPORTS void | vconcat (InputArray src1, InputArray src2, OutputArray dst) |
CV_EXPORTS_W void | vconcat (InputArray src, OutputArray dst) |
CV_EXPORTS_W void | bitwise_and (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray()) |
| computes bitwise conjunction of the two arrays (dst = src1 & src2)
|
CV_EXPORTS_W void | bitwise_or (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray()) |
| computes bitwise disjunction of the two arrays (dst = src1 | src2)
|
CV_EXPORTS_W void | bitwise_xor (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray()) |
| computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2)
|
CV_EXPORTS_W void | bitwise_not (InputArray src, OutputArray dst, InputArray mask=noArray()) |
| inverts each bit of array (dst = ~src)
|
CV_EXPORTS_W void | absdiff (InputArray src1, InputArray src2, OutputArray dst) |
| computes element-wise absolute difference of two arrays (dst = abs(src1 - src2))
|
CV_EXPORTS_W void | inRange (InputArray src, InputArray lowerb, InputArray upperb, OutputArray dst) |
| set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb)
|
CV_EXPORTS_W void | compare (InputArray src1, InputArray src2, OutputArray dst, int cmpop) |
| compares elements of two arrays (dst = src1 <cmpop> src2)
|
CV_EXPORTS_W void | min (InputArray src1, InputArray src2, OutputArray dst) |
| computes per-element minimum of two arrays (dst = min(src1, src2))
|
CV_EXPORTS_W void | max (InputArray src1, InputArray src2, OutputArray dst) |
| computes per-element maximum of two arrays (dst = max(src1, src2))
|
CV_EXPORTS void | min (const Mat &src1, const Mat &src2, Mat &dst) |
| computes per-element minimum of two arrays (dst = min(src1, src2))
|
CV_EXPORTS void | min (const Mat &src1, double src2, Mat &dst) |
| computes per-element minimum of array and scalar (dst = min(src1, src2))
|
CV_EXPORTS void | max (const Mat &src1, const Mat &src2, Mat &dst) |
| computes per-element maximum of two arrays (dst = max(src1, src2))
|
CV_EXPORTS void | max (const Mat &src1, double src2, Mat &dst) |
| computes per-element maximum of array and scalar (dst = max(src1, src2))
|
CV_EXPORTS_W void | sqrt (InputArray src, OutputArray dst) |
| computes square root of each matrix element (dst = src**0.5)
|
CV_EXPORTS_W void | pow (InputArray src, double power, OutputArray dst) |
| raises the input matrix elements to the specified power (b = a**power)
|
CV_EXPORTS_W void | exp (InputArray src, OutputArray dst) |
| computes exponent of each matrix element (dst = e**src)
|
CV_EXPORTS_W void | log (InputArray src, OutputArray dst) |
| computes natural logarithm of absolute value of each matrix element: dst = log(abs(src))
|
CV_EXPORTS_W float | cubeRoot (float val) |
| computes cube root of the argument
|
CV_EXPORTS_W float | fastAtan2 (float y, float x) |
| computes the angle in degrees (0..360) of the vector (x,y)
|
CV_EXPORTS_W void | polarToCart (InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees=false) |
| converts polar coordinates to Cartesian
|
CV_EXPORTS_W void | cartToPolar (InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false) |
| converts Cartesian coordinates to polar
|
CV_EXPORTS_W void | phase (InputArray x, InputArray y, OutputArray angle, bool angleInDegrees=false) |
| computes angle (angle(i)) of each (x(i), y(i)) vector
|
CV_EXPORTS_W void | magnitude (InputArray x, InputArray y, OutputArray magnitude) |
| computes magnitude (magnitude(i)) of each (x(i), y(i)) vector
|
CV_EXPORTS_W bool | checkRange (InputArray a, bool quiet=true, CV_OUT Point *pt=0, double minVal=-DBL_MAX, double maxVal=DBL_MAX) |
| checks that each matrix element is within the specified range.
|
CV_EXPORTS_W void | gemm (InputArray src1, InputArray src2, double alpha, InputArray src3, double gamma, OutputArray dst, int flags=0) |
| implements generalized matrix product algorithm GEMM from BLAS
|
CV_EXPORTS_W void | mulTransposed (InputArray src, OutputArray dst, bool aTa, InputArray delta=noArray(), double scale=1, int dtype=-1) |
| multiplies matrix by its transposition from the left or from the right
|
CV_EXPORTS_W void | transpose (InputArray src, OutputArray dst) |
| transposes the matrix
|
CV_EXPORTS_W void | transform (InputArray src, OutputArray dst, InputArray m) |
| performs affine transformation of each element of multi-channel input matrix
|
CV_EXPORTS_W void | perspectiveTransform (InputArray src, OutputArray dst, InputArray m) |
| performs perspective transformation of each element of multi-channel input matrix
|
CV_EXPORTS_W void | completeSymm (InputOutputArray mtx, bool lowerToUpper=false) |
| extends the symmetrical matrix from the lower half or from the upper half
|
CV_EXPORTS_W void | setIdentity (InputOutputArray mtx, const Scalar &s=Scalar(1)) |
| initializes scaled identity matrix
|
CV_EXPORTS_W double | determinant (InputArray mtx) |
| computes determinant of a square matrix
|
CV_EXPORTS_W Scalar | trace (InputArray mtx) |
| computes trace of a matrix
|
CV_EXPORTS_W double | invert (InputArray src, OutputArray dst, int flags=DECOMP_LU) |
| computes inverse or pseudo-inverse matrix
|
CV_EXPORTS_W bool | solve (InputArray src1, InputArray src2, OutputArray dst, int flags=DECOMP_LU) |
| solves linear system or a least-square problem
|
CV_EXPORTS_W void | sort (InputArray src, OutputArray dst, int flags) |
| sorts independently each matrix row or each matrix column
|
CV_EXPORTS_W void | sortIdx (InputArray src, OutputArray dst, int flags) |
| sorts independently each matrix row or each matrix column
|
CV_EXPORTS_W int | solveCubic (InputArray coeffs, OutputArray roots) |
| finds real roots of a cubic polynomial
|
CV_EXPORTS_W double | solvePoly (InputArray coeffs, OutputArray roots, int maxIters=300) |
| finds real and complex roots of a polynomial
|
CV_EXPORTS bool | eigen (InputArray src, OutputArray eigenvalues, int lowindex=-1, int highindex=-1) |
| finds eigenvalues of a symmetric matrix
|
CV_EXPORTS bool | eigen (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors, int lowindex=-1, int highindex=-1) |
| finds eigenvalues and eigenvectors of a symmetric matrix
|
CV_EXPORTS void | calcCovarMatrix (const Mat *samples, int nsamples, Mat &covar, Mat &mean, int flags, int ctype=CV_64F) |
| computes covariation matrix of a set of samples
|
CV_EXPORTS_W void | calcCovarMatrix (InputArray samples, OutputArray covar, OutputArray mean, int flags, int ctype=CV_64F) |
| computes covariation matrix of a set of samples
|
CV_EXPORTS_W double | Mahalanobis (InputArray v1, InputArray v2, InputArray icovar) |
| computes Mahalanobis distance between two vectors: sqrt((v1-v2)'icovar(v1-v2)), where icovar is the inverse covariation matrix
|
CV_EXPORTS double | Mahalonobis (InputArray v1, InputArray v2, InputArray icovar) |
| a synonym for Mahalanobis
|
CV_EXPORTS_W void | dft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0) |
| performs forward or inverse 1D or 2D Discrete Fourier Transformation
|
CV_EXPORTS_W void | idft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0) |
| performs inverse 1D or 2D Discrete Fourier Transformation
|
CV_EXPORTS_W void | dct (InputArray src, OutputArray dst, int flags=0) |
| performs forward or inverse 1D or 2D Discrete Cosine Transformation
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CV_EXPORTS_W void | idct (InputArray src, OutputArray dst, int flags=0) |
| performs inverse 1D or 2D Discrete Cosine Transformation
|
CV_EXPORTS_W void | mulSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false) |
| computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication
|
CV_EXPORTS_W int | getOptimalDFTSize (int vecsize) |
| computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently
|
CV_EXPORTS_W double | kmeans (InputArray data, int K, CV_OUT InputOutputArray bestLabels, TermCriteria criteria, int attempts, int flags, OutputArray centers=noArray()) |
| clusters the input data using k-Means algorithm
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CV_EXPORTS RNG & | theRNG () |
| returns the thread-local Random number generator
|
CV_EXPORTS_W void | randu (InputOutputArray dst, InputArray low, InputArray high) |
| fills array with uniformly-distributed random numbers from the range [low, high)
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CV_EXPORTS_W void | randn (InputOutputArray dst, InputArray mean, InputArray stddev) |
| fills array with normally-distributed random numbers with the specified mean and the standard deviation
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CV_EXPORTS void | randShuffle (InputOutputArray dst, double iterFactor=1., RNG *rng=0) |
| shuffles the input array elements
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CV_EXPORTS_W void | line (Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0) |
| draws the line segment (pt1, pt2) in the image
|
CV_EXPORTS_W void | rectangle (Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0) |
| draws the rectangle outline or a solid rectangle with the opposite corners pt1 and pt2 in the image
|
CV_EXPORTS void | rectangle (Mat &img, Rect rec, const Scalar &color, int thickness=1, int lineType=8, int shift=0) |
| draws the rectangle outline or a solid rectangle covering rec in the image
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CV_EXPORTS_W void | circle (Mat &img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=8, int shift=0) |
| draws the circle outline or a solid circle in the image
|
CV_EXPORTS_W void | ellipse (Mat &img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=8, int shift=0) |
| draws an elliptic arc, ellipse sector or a rotated ellipse in the image
|
CV_EXPORTS_W void | ellipse (Mat &img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=8) |
| draws a rotated ellipse in the image
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CV_EXPORTS void | fillConvexPoly (Mat &img, const Point *pts, int npts, const Scalar &color, int lineType=8, int shift=0) |
| draws a filled convex polygon in the image
|
CV_EXPORTS void | fillPoly (Mat &img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=8, int shift=0, Point offset=Point()) |
| fills an area bounded by one or more polygons
|
CV_EXPORTS void | polylines (Mat &img, const Point **pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=8, int shift=0) |
| draws one or more polygonal curves
|
CV_EXPORTS bool | clipLine (Size imgSize, CV_IN_OUT Point &pt1, CV_IN_OUT Point &pt2) |
| clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height)
|
CV_EXPORTS_W bool | clipLine (Rect imgRect, CV_IN_OUT Point &pt1, CV_IN_OUT Point &pt2) |
| clips the line segment by the rectangle imgRect
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CV_EXPORTS_W void | ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, CV_OUT vector< Point > &pts) |
| converts elliptic arc to a polygonal curve
|
CV_EXPORTS_W void | putText (Mat &img, const string &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int linetype=8, bool bottomLeftOrigin=false) |
| renders text string in the image
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CV_EXPORTS_W Size | getTextSize (const string &text, int fontFace, double fontScale, int thickness, CV_OUT int *baseLine) |
| returns bounding box of the text string
|
CV_EXPORTS ConvertData | getConvertElem (int fromType, int toType) |
| returns the function for converting pixels from one data type to another
|
CV_EXPORTS ConvertScaleData | getConvertScaleElem (int fromType, int toType) |
| returns the function for converting pixels from one data type to another with the optional scaling
|
CV_EXPORTS void | minMaxLoc (const SparseMat &a, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0) |
| finds global minimum and maximum sparse array elements and returns their values and their locations
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CV_EXPORTS double | norm (const SparseMat &src, int normType) |
| computes norm of a sparse matrix
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CV_EXPORTS void | normalize (const SparseMat &src, SparseMat &dst, double alpha, int normType) |
| scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values
|
template<> |
CV_EXPORTS std::string | CommandLineParser::analyzeValue< std::string > (const std::string &str) |
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols> |
void | eigen2cv (const Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &src, Mat &dst) |
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols> |
void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &dst) |
template<typename _Tp > |
void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst) |
template<typename _Tp > |
void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst) |
template<typename _Tp > |
void | cv2eigen (const Mat &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst) |
template<typename T1 , typename T2 , typename Op > |
void | process (const Mat_< T1 > &m1, Mat_< T2 > &m2, Op op) |
template<typename T1 , typename T2 , typename T3 , typename Op > |
void | process (const Mat_< T1 > &m1, const Mat_< T2 > &m2, Mat_< T3 > &m3, Op op) |
CV_EXPORTS MatExpr | operator+ (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator+ (const Mat &a, const Scalar &s) |
CV_EXPORTS MatExpr | operator+ (const Scalar &s, const Mat &a) |
CV_EXPORTS MatExpr | operator+ (const MatExpr &e, const Mat &m) |
CV_EXPORTS MatExpr | operator+ (const Mat &m, const MatExpr &e) |
CV_EXPORTS MatExpr | operator+ (const MatExpr &e, const Scalar &s) |
CV_EXPORTS MatExpr | operator+ (const Scalar &s, const MatExpr &e) |
CV_EXPORTS MatExpr | operator+ (const MatExpr &e1, const MatExpr &e2) |
CV_EXPORTS MatExpr | operator- (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator- (const Mat &a, const Scalar &s) |
CV_EXPORTS MatExpr | operator- (const Scalar &s, const Mat &a) |
CV_EXPORTS MatExpr | operator- (const MatExpr &e, const Mat &m) |
CV_EXPORTS MatExpr | operator- (const Mat &m, const MatExpr &e) |
CV_EXPORTS MatExpr | operator- (const MatExpr &e, const Scalar &s) |
CV_EXPORTS MatExpr | operator- (const Scalar &s, const MatExpr &e) |
CV_EXPORTS MatExpr | operator- (const MatExpr &e1, const MatExpr &e2) |
CV_EXPORTS MatExpr | operator- (const Mat &m) |
CV_EXPORTS MatExpr | operator- (const MatExpr &e) |
CV_EXPORTS MatExpr | operator* (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator* (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator* (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator* (const MatExpr &e, const Mat &m) |
CV_EXPORTS MatExpr | operator* (const Mat &m, const MatExpr &e) |
CV_EXPORTS MatExpr | operator* (const MatExpr &e, double s) |
CV_EXPORTS MatExpr | operator* (double s, const MatExpr &e) |
CV_EXPORTS MatExpr | operator* (const MatExpr &e1, const MatExpr &e2) |
CV_EXPORTS MatExpr | operator/ (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator/ (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator/ (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator/ (const MatExpr &e, const Mat &m) |
CV_EXPORTS MatExpr | operator/ (const Mat &m, const MatExpr &e) |
CV_EXPORTS MatExpr | operator/ (const MatExpr &e, double s) |
CV_EXPORTS MatExpr | operator/ (double s, const MatExpr &e) |
CV_EXPORTS MatExpr | operator/ (const MatExpr &e1, const MatExpr &e2) |
CV_EXPORTS MatExpr | operator< (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator< (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator< (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator<= (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator<= (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator<= (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator== (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator== (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator== (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator!= (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator!= (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator!= (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator>= (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator>= (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator>= (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator> (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator> (const Mat &a, double s) |
CV_EXPORTS MatExpr | operator> (double s, const Mat &a) |
CV_EXPORTS MatExpr | min (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | min (const Mat &a, double s) |
CV_EXPORTS MatExpr | min (double s, const Mat &a) |
CV_EXPORTS MatExpr | max (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | max (const Mat &a, double s) |
CV_EXPORTS MatExpr | max (double s, const Mat &a) |
CV_EXPORTS MatExpr | operator& (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator& (const Mat &a, const Scalar &s) |
CV_EXPORTS MatExpr | operator& (const Scalar &s, const Mat &a) |
CV_EXPORTS MatExpr | operator| (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator| (const Mat &a, const Scalar &s) |
CV_EXPORTS MatExpr | operator| (const Scalar &s, const Mat &a) |
CV_EXPORTS MatExpr | operator^ (const Mat &a, const Mat &b) |
CV_EXPORTS MatExpr | operator^ (const Mat &a, const Scalar &s) |
CV_EXPORTS MatExpr | operator^ (const Scalar &s, const Mat &a) |
CV_EXPORTS MatExpr | operator~ (const Mat &m) |
CV_EXPORTS MatExpr | abs (const Mat &m) |
CV_EXPORTS MatExpr | abs (const MatExpr &e) |
template<typename _Tp > |
void | split (const Mat &src, vector< Mat_< _Tp > > &mv) |
CV_EXPORTS ptrdiff_t | operator- (const MatConstIterator &b, const MatConstIterator &a) |
template<> |
uchar | saturate_cast< uchar > (schar v) |
template<> |
uchar | saturate_cast< uchar > (ushort v) |
template<> |
uchar | saturate_cast< uchar > (int v) |
template<> |
uchar | saturate_cast< uchar > (short v) |
template<> |
uchar | saturate_cast< uchar > (unsigned v) |
template<> |
uchar | saturate_cast< uchar > (float v) |
template<> |
uchar | saturate_cast< uchar > (double v) |
template<> |
schar | saturate_cast< schar > (uchar v) |
template<> |
schar | saturate_cast< schar > (ushort v) |
template<> |
schar | saturate_cast< schar > (int v) |
template<> |
schar | saturate_cast< schar > (short v) |
template<> |
schar | saturate_cast< schar > (unsigned v) |
template<> |
schar | saturate_cast< schar > (float v) |
template<> |
schar | saturate_cast< schar > (double v) |
template<> |
ushort | saturate_cast< ushort > (schar v) |
template<> |
ushort | saturate_cast< ushort > (short v) |
template<> |
ushort | saturate_cast< ushort > (int v) |
template<> |
ushort | saturate_cast< ushort > (unsigned v) |
template<> |
ushort | saturate_cast< ushort > (float v) |
template<> |
ushort | saturate_cast< ushort > (double v) |
template<> |
short | saturate_cast< short > (ushort v) |
template<> |
short | saturate_cast< short > (int v) |
template<> |
short | saturate_cast< short > (unsigned v) |
template<> |
short | saturate_cast< short > (float v) |
template<> |
short | saturate_cast< short > (double v) |
template<> |
int | saturate_cast< int > (float v) |
template<> |
int | saturate_cast< int > (double v) |
template<> |
unsigned | saturate_cast< unsigned > (float v) |
template<> |
unsigned | saturate_cast< unsigned > (double v) |
CV_EXPORTS int | LU (float *A, size_t astep, int m, float *b, size_t bstep, int n) |
CV_EXPORTS int | LU (double *A, size_t astep, int m, double *b, size_t bstep, int n) |
CV_EXPORTS bool | Cholesky (float *A, size_t astep, int m, float *b, size_t bstep, int n) |
CV_EXPORTS bool | Cholesky (double *A, size_t astep, int m, double *b, size_t bstep, int n) |
template<typename _Tp > |
DataType< _Tp >::work_type | dot (const Vector< _Tp > &v1, const Vector< _Tp > &v2) |
CV_EXPORTS_W void | write (FileStorage &fs, const string &name, int value) |
CV_EXPORTS_W void | write (FileStorage &fs, const string &name, float value) |
CV_EXPORTS_W void | write (FileStorage &fs, const string &name, double value) |
CV_EXPORTS_W void | write (FileStorage &fs, const string &name, const string &value) |
template<typename _Tp > |
void | write (FileStorage &fs, const _Tp &value) |
CV_EXPORTS void | writeScalar (FileStorage &fs, int value) |
CV_EXPORTS void | writeScalar (FileStorage &fs, float value) |
CV_EXPORTS void | writeScalar (FileStorage &fs, double value) |
CV_EXPORTS void | writeScalar (FileStorage &fs, const string &value) |
template<> |
void | write (FileStorage &fs, const int &value) |
template<> |
void | write (FileStorage &fs, const float &value) |
template<> |
void | write (FileStorage &fs, const double &value) |
template<> |
void | write (FileStorage &fs, const string &value) |
template<typename _Tp > |
void | write (FileStorage &fs, const Point_< _Tp > &pt) |
template<typename _Tp > |
void | write (FileStorage &fs, const Point3_< _Tp > &pt) |
template<typename _Tp > |
void | write (FileStorage &fs, const Size_< _Tp > &sz) |
template<typename _Tp > |
void | write (FileStorage &fs, const Complex< _Tp > &c) |
template<typename _Tp > |
void | write (FileStorage &fs, const Rect_< _Tp > &r) |
template<typename _Tp , int cn> |
void | write (FileStorage &fs, const Vec< _Tp, cn > &v) |
template<typename _Tp > |
void | write (FileStorage &fs, const Scalar_< _Tp > &s) |
void | write (FileStorage &fs, const Range &r) |
template<typename _Tp > |
void | write (FileStorage &fs, const string &name, const Point_< _Tp > &pt) |
template<typename _Tp > |
void | write (FileStorage &fs, const string &name, const Point3_< _Tp > &pt) |
template<typename _Tp > |
void | write (FileStorage &fs, const string &name, const Size_< _Tp > &sz) |
template<typename _Tp > |
void | write (FileStorage &fs, const string &name, const Complex< _Tp > &c) |
template<typename _Tp > |
void | write (FileStorage &fs, const string &name, const Rect_< _Tp > &r) |
template<typename _Tp , int cn> |
void | write (FileStorage &fs, const string &name, const Vec< _Tp, cn > &v) |
template<typename _Tp > |
void | write (FileStorage &fs, const string &name, const Scalar_< _Tp > &s) |
void | write (FileStorage &fs, const string &name, const Range &r) |
CV_EXPORTS_W void | write (FileStorage &fs, const string &name, const Mat &value) |
CV_EXPORTS void | write (FileStorage &fs, const string &name, const SparseMat &value) |
CV_EXPORTS FileStorage & | operator<< (FileStorage &fs, const string &str) |
CV_EXPORTS_W void | read (const FileNode &node, Mat &mat, const Mat &default_mat=Mat()) |
CV_EXPORTS void | read (const FileNode &node, SparseMat &mat, const SparseMat &default_mat=SparseMat()) |
template<typename _Tp , class _LT > |
void | sort (vector< _Tp > &vec, _LT LT=_LT()) |
template<typename _Tp , class _EqPredicate > |
int | partition (const vector< _Tp > &_vec, vector< int > &labels, _EqPredicate predicate=_EqPredicate()) |
CV_EXPORTS schar * | seqPush (CvSeq *seq, const void *element=0) |
CV_EXPORTS schar * | seqPushFront (CvSeq *seq, const void *element=0) |
CV_EXPORTS void | seqPop (CvSeq *seq, void *element=0) |
CV_EXPORTS void | seqPopFront (CvSeq *seq, void *element=0) |
CV_EXPORTS void | seqPopMulti (CvSeq *seq, void *elements, int count, int in_front=0) |
CV_EXPORTS void | seqRemove (CvSeq *seq, int index) |
CV_EXPORTS void | clearSeq (CvSeq *seq) |
CV_EXPORTS schar * | getSeqElem (const CvSeq *seq, int index) |
CV_EXPORTS void | seqRemoveSlice (CvSeq *seq, CvSlice slice) |
CV_EXPORTS void | seqInsertSlice (CvSeq *seq, int before_index, const CvArr *from_arr) |
template<typename _Tp > |
ptrdiff_t | operator- (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b) |
template<typename _Tp > |
bool | operator== (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b) |
template<typename _Tp > |
bool | operator!= (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b) |
template<typename _Tp > |
std::ostream & | operator<< (std::ostream &out, const Point_< _Tp > &p) |
template<typename _Tp > |
std::ostream & | operator<< (std::ostream &out, const Point3_< _Tp > &p) |
CV_EXPORTS void | write (FileStorage &fs, const string &name, const vector< KeyPoint > &keypoints) |
| writes vector of keypoints to the file storage
|
CV_EXPORTS void | read (const FileNode &node, CV_OUT vector< KeyPoint > &keypoints) |
| reads vector of keypoints from the specified file storage node
|
CV_EXPORTS void | FAST (const Mat &image, CV_OUT vector< KeyPoint > &keypoints, int threshold, bool nonmaxSupression=true) |
| detects corners using FAST algorithm by E. Rosten
|
uchar * | getData (IplImage *image) |
CV_EXPORTS Mat | windowedMatchingMask (const vector< KeyPoint > &keypoints1, const vector< KeyPoint > &keypoints2, float maxDeltaX, float maxDeltaY) |
CV_EXPORTS void | drawKeypoints (const Mat &image, const vector< KeyPoint > &keypoints, Mat &outImage, const Scalar &color=Scalar::all(-1), int flags=DrawMatchesFlags::DEFAULT) |
CV_EXPORTS void | drawMatches (const Mat &img1, const vector< KeyPoint > &keypoints1, const Mat &img2, const vector< KeyPoint > &keypoints2, const vector< DMatch > &matches1to2, Mat &outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const vector< char > &matchesMask=vector< char >(), int flags=DrawMatchesFlags::DEFAULT) |
CV_EXPORTS void | drawMatches (const Mat &img1, const vector< KeyPoint > &keypoints1, const Mat &img2, const vector< KeyPoint > &keypoints2, const vector< vector< DMatch > > &matches1to2, Mat &outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const vector< vector< char > > &matchesMask=vector< vector< char > >(), int flags=DrawMatchesFlags::DEFAULT) |
CV_EXPORTS void | evaluateFeatureDetector (const Mat &img1, const Mat &img2, const Mat &H1to2, vector< KeyPoint > *keypoints1, vector< KeyPoint > *keypoints2, float &repeatability, int &correspCount, const Ptr< FeatureDetector > &fdetector=Ptr< FeatureDetector >()) |
CV_EXPORTS void | computeRecallPrecisionCurve (const vector< vector< DMatch > > &matches1to2, const vector< vector< uchar > > &correctMatches1to2Mask, vector< Point2f > &recallPrecisionCurve) |
CV_EXPORTS float | getRecall (const vector< Point2f > &recallPrecisionCurve, float l_precision) |
CV_EXPORTS int | getNearestPoint (const vector< Point2f > &recallPrecisionCurve, float l_precision) |
CV_EXPORTS void | evaluateGenericDescriptorMatcher (const Mat &img1, const Mat &img2, const Mat &H1to2, vector< KeyPoint > &keypoints1, vector< KeyPoint > &keypoints2, vector< vector< DMatch > > *matches1to2, vector< vector< uchar > > *correctMatches1to2Mask, vector< Point2f > &recallPrecisionCurve, const Ptr< GenericDescriptorMatcher > &dmatch=Ptr< GenericDescriptorMatcher >()) |
CV_EXPORTS void | filterSpeckles (Mat &img, uchar newVal, int maxSpeckleSize, uchar diffThreshold, Mat &buf) |
CV_EXPORTS_W void | namedWindow (const string &winname, int flags=WINDOW_AUTOSIZE) |
CV_EXPORTS_W void | destroyWindow (const string &winname) |
CV_EXPORTS_W void | destroyAllWindows () |
CV_EXPORTS_W int | startWindowThread () |
CV_EXPORTS_W void | setWindowProperty (const string &winname, int prop_id, double prop_value) |
CV_EXPORTS_W double | getWindowProperty (const string &winname, int prop_id) |
CV_EXPORTS CvFont | fontQt (const string &nameFont, int pointSize=-1, Scalar color=Scalar::all(0), int weight=CV_FONT_NORMAL, int style=CV_STYLE_NORMAL, int spacing=0) |
CV_EXPORTS void | addText (const Mat &img, const string &text, Point org, CvFont font) |
CV_EXPORTS void | displayOverlay (const string &winname, const string &text, int delayms) |
CV_EXPORTS void | displayStatusBar (const string &winname, const string &text, int delayms) |
CV_EXPORTS void | createOpenGLCallback (const string &winname, CvOpenGLCallback callbackOpenGL, void *userdata=0) |
CV_EXPORTS void | saveWindowParameters (const string &windowName) |
CV_EXPORTS void | loadWindowParameters (const string &windowName) |
CV_EXPORTS int | startLoop (int(*pt2Func)(int argc, char *argv[]), int argc, char *argv[]) |
CV_EXPORTS void | stopLoop () |
CV_EXPORTS int | createButton (const string &bar_name, ButtonCallback on_change, void *userdata=NULL, int type=CV_PUSH_BUTTON, bool initial_button_state=0) |
CV_EXPORTS_W void | imshow (const string &winname, InputArray mat) |
CV_EXPORTS int | createTrackbar (const string &trackbarname, const string &winname, int *value, int count, TrackbarCallback onChange=0, void *userdata=0) |
CV_EXPORTS_W int | getTrackbarPos (const string &trackbarname, const string &winname) |
CV_EXPORTS_W void | setTrackbarPos (const string &trackbarname, const string &winname, int pos) |
CV_EXPORTS void | setMouseCallback (const string &windowName, MouseCallback onMouse, void *param=0) |
| assigns callback for mouse events
|
CV_EXPORTS_W Mat | imread (const string &filename, int flags=1) |
CV_EXPORTS_W bool | imwrite (const string &filename, InputArray img, const vector< int > ¶ms=vector< int >()) |
CV_EXPORTS_W Mat | imdecode (InputArray buf, int flags) |
CV_EXPORTS_W bool | imencode (const string &ext, InputArray img, vector< uchar > &buf, const vector< int > ¶ms=vector< int >()) |
CV_EXPORTS_W int | waitKey (int delay=0) |
CV_EXPORTS_W int | borderInterpolate (int p, int len, int borderType) |
| 1D interpolation function: returns coordinate of the "donor" pixel for the specified location p.
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CV_EXPORTS int | getKernelType (InputArray kernel, Point anchor) |
| returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients.
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CV_EXPORTS Ptr< BaseRowFilter > | getLinearRowFilter (int srcType, int bufType, InputArray kernel, int anchor, int symmetryType) |
| returns the primitive row filter with the specified kernel
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CV_EXPORTS Ptr< BaseColumnFilter > | getLinearColumnFilter (int bufType, int dstType, InputArray kernel, int anchor, int symmetryType, double delta=0, int bits=0) |
| returns the primitive column filter with the specified kernel
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CV_EXPORTS Ptr< BaseFilter > | getLinearFilter (int srcType, int dstType, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int bits=0) |
| returns 2D filter with the specified kernel
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CV_EXPORTS Ptr< FilterEngine > | createSeparableLinearFilter (int srcType, int dstType, InputArray rowKernel, InputArray columnKernel, Point _anchor=Point(-1,-1), double delta=0, int _rowBorderType=BORDER_DEFAULT, int _columnBorderType=-1, const Scalar &_borderValue=Scalar()) |
| returns the separable linear filter engine
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CV_EXPORTS Ptr< FilterEngine > | createLinearFilter (int srcType, int dstType, InputArray kernel, Point _anchor=Point(-1,-1), double delta=0, int _rowBorderType=BORDER_DEFAULT, int _columnBorderType=-1, const Scalar &_borderValue=Scalar()) |
| returns the non-separable linear filter engine
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CV_EXPORTS_W Mat | getGaussianKernel (int ksize, double sigma, int ktype=CV_64F) |
| returns the Gaussian kernel with the specified parameters
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CV_EXPORTS Ptr< FilterEngine > | createGaussianFilter (int type, Size ksize, double sigma1, double sigma2=0, int borderType=BORDER_DEFAULT) |
| returns the Gaussian filter engine
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CV_EXPORTS_W void | getDerivKernels (OutputArray kx, OutputArray ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F) |
| initializes kernels of the generalized Sobel operator
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CV_EXPORTS Ptr< FilterEngine > | createDerivFilter (int srcType, int dstType, int dx, int dy, int ksize, int borderType=BORDER_DEFAULT) |
| returns filter engine for the generalized Sobel operator
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CV_EXPORTS Ptr< BaseRowFilter > | getRowSumFilter (int srcType, int sumType, int ksize, int anchor=-1) |
| returns horizontal 1D box filter
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CV_EXPORTS Ptr< BaseColumnFilter > | getColumnSumFilter (int sumType, int dstType, int ksize, int anchor=-1, double scale=1) |
| returns vertical 1D box filter
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CV_EXPORTS Ptr< FilterEngine > | createBoxFilter (int srcType, int dstType, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT) |
| returns box filter engine
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CV_EXPORTS Ptr< BaseRowFilter > | getMorphologyRowFilter (int op, int type, int ksize, int anchor=-1) |
| returns horizontal 1D morphological filter
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CV_EXPORTS Ptr< BaseColumnFilter > | getMorphologyColumnFilter (int op, int type, int ksize, int anchor=-1) |
| returns vertical 1D morphological filter
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CV_EXPORTS Ptr< BaseFilter > | getMorphologyFilter (int op, int type, InputArray kernel, Point anchor=Point(-1,-1)) |
| returns 2D morphological filter
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CV_EXPORTS Ptr< FilterEngine > | createMorphologyFilter (int op, int type, InputArray kernel, Point anchor=Point(-1,-1), int _rowBorderType=BORDER_CONSTANT, int _columnBorderType=-1, const Scalar &_borderValue=morphologyDefaultBorderValue()) |
| returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported.
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CV_EXPORTS_W Mat | getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1)) |
| returns structuring element of the specified shape and size
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CV_EXPORTS_W void | copyMakeBorder (InputArray src, OutputArray dst, int top, int bottom, int left, int right, int borderType, const Scalar &value=Scalar()) |
| copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode
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CV_EXPORTS_W void | medianBlur (InputArray src, OutputArray dst, int ksize) |
| smooths the image using median filter.
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CV_EXPORTS_W void | GaussianBlur (InputArray src, OutputArray dst, Size ksize, double sigma1, double sigma2=0, int borderType=BORDER_DEFAULT) |
| smooths the image using Gaussian filter.
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CV_EXPORTS_W void | bilateralFilter (InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT) |
| smooths the image using bilateral filter
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CV_EXPORTS_W void | boxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT) |
| smooths the image using the box filter. Each pixel is processed in O(1) time
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CV_EXPORTS_W void | blur (InputArray src, OutputArray dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT) |
| a synonym for normalized box filter
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CV_EXPORTS_W void | filter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT) |
| applies non-separable 2D linear filter to the image
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CV_EXPORTS_W void | sepFilter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernelX, InputArray kernelY, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT) |
| applies separable 2D linear filter to the image
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CV_EXPORTS_W void | Sobel (InputArray src, OutputArray dst, int ddepth, int dx, int dy, int ksize=3, double scale=1, double delta=0, int borderType=BORDER_DEFAULT) |
| applies generalized Sobel operator to the image
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CV_EXPORTS_W void | Scharr (InputArray src, OutputArray dst, int ddepth, int dx, int dy, double scale=1, double delta=0, int borderType=BORDER_DEFAULT) |
| applies the vertical or horizontal Scharr operator to the image
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CV_EXPORTS_W void | Laplacian (InputArray src, OutputArray dst, int ddepth, int ksize=1, double scale=1, double delta=0, int borderType=BORDER_DEFAULT) |
| applies Laplacian operator to the image
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CV_EXPORTS_W void | Canny (InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false) |
| applies Canny edge detector and produces the edge map.
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CV_EXPORTS_W void | cornerMinEigenVal (InputArray src, OutputArray dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT) |
| computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria
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CV_EXPORTS_W void | cornerHarris (InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT) |
| computes Harris cornerness criteria at each image pixel
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CV_EXPORTS_W void | cornerEigenValsAndVecs (InputArray src, OutputArray dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT) |
| computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix.
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CV_EXPORTS_W void | preCornerDetect (InputArray src, OutputArray dst, int ksize, int borderType=BORDER_DEFAULT) |
| computes another complex cornerness criteria at each pixel
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CV_EXPORTS void | cornerSubPix (InputArray image, InputOutputArray corners, Size winSize, Size zeroZone, TermCriteria criteria) |
| adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria
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CV_EXPORTS_W 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) |
| finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima
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CV_EXPORTS_W void | HoughLines (InputArray image, OutputArray lines, double rho, double theta, int threshold, double srn=0, double stn=0) |
| finds lines in the black-n-white image using the standard or pyramid Hough transform
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CV_EXPORTS_W void | HoughLinesP (InputArray image, OutputArray lines, double rho, double theta, int threshold, double minLineLength=0, double maxLineGap=0) |
| finds line segments in the black-n-white image using probabalistic Hough transform
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CV_EXPORTS_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 the grayscale image using 2+1 gradient Hough transform
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CV_EXPORTS_W 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 the image (applies the local minimum operator)
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CV_EXPORTS_W 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 the image (applies the local maximum operator)
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CV_EXPORTS_W 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()) |
| applies an advanced morphological operation to the image
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CV_EXPORTS_W void | resize (InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR) |
| resizes the image
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CV_EXPORTS_W void | warpAffine (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) |
| warps the image using affine transformation
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CV_EXPORTS_W void | warpPerspective (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) |
| warps the image using perspective transformation
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CV_EXPORTS_W void | remap (InputArray src, OutputArray dst, InputArray map1, InputArray map2, int interpolation, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) |
| warps the image using the precomputed maps. The maps are stored in either floating-point or integer fixed-point format
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CV_EXPORTS_W void | convertMaps (InputArray map1, InputArray map2, OutputArray dstmap1, OutputArray dstmap2, int dstmap1type, bool nninterpolation=false) |
| converts maps for remap from floating-point to fixed-point format or backwards
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CV_EXPORTS_W Mat | getRotationMatrix2D (Point2f center, double angle, double scale) |
| returns 2x3 affine transformation matrix for the planar rotation.
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CV_EXPORTS Mat | getPerspectiveTransform (const Point2f src[], const Point2f dst[]) |
| returns 3x3 perspective transformation for the corresponding 4 point pairs.
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CV_EXPORTS Mat | getAffineTransform (const Point2f src[], const Point2f dst[]) |
| returns 2x3 affine transformation for the corresponding 3 point pairs.
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CV_EXPORTS_W void | invertAffineTransform (InputArray M, OutputArray iM) |
| computes 2x3 affine transformation matrix that is inverse to the specified 2x3 affine transformation.
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CV_EXPORTS_W void | getRectSubPix (InputArray image, Size patchSize, Point2f center, OutputArray patch, int patchType=-1) |
| extracts rectangle from the image at sub-pixel location
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CV_EXPORTS_W void | integral (InputArray src, OutputArray sum, int sdepth=-1) |
| computes the integral image
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| CV_EXPORTS_AS (integral2) void integral(InputArray src |
| computes the integral image and integral for the squared image
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| CV_EXPORTS_AS (integral3) void integral(InputArray src |
| computes the integral image, integral for the squared image and the tilted integral image
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CV_EXPORTS_W void | accumulate (InputArray src, CV_IN_OUT InputOutputArray dst, InputArray mask=noArray()) |
| adds image to the accumulator (dst += src). Unlike cv::add, dst and src can have different types.
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CV_EXPORTS_W void | accumulateSquare (InputArray src, CV_IN_OUT InputOutputArray dst, InputArray mask=noArray()) |
| adds squared src image to the accumulator (dst += src*src).
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CV_EXPORTS_W void | accumulateProduct (InputArray src1, InputArray src2, CV_IN_OUT InputOutputArray dst, InputArray mask=noArray()) |
| adds product of the 2 images to the accumulator (dst += src1*src2).
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CV_EXPORTS_W void | accumulateWeighted (InputArray src, CV_IN_OUT InputOutputArray dst, double alpha, InputArray mask=noArray()) |
| updates the running average (dst = dst*(1-alpha) + src*alpha)
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CV_EXPORTS_W double | threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type) |
| applies fixed threshold to the image
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CV_EXPORTS_W void | adaptiveThreshold (InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C) |
| applies variable (adaptive) threshold to the image
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CV_EXPORTS_W void | pyrDown (InputArray src, OutputArray dst, const Size &dstsize=Size()) |
| smooths and downsamples the image
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CV_EXPORTS_W void | pyrUp (InputArray src, OutputArray dst, const Size &dstsize=Size()) |
| upsamples and smoothes the image
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CV_EXPORTS void | buildPyramid (InputArray src, OutputArrayOfArrays dst, int maxlevel) |
| builds the gaussian pyramid using pyrDown() as a basic operation
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CV_EXPORTS_W void | undistort (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray newCameraMatrix=noArray()) |
| corrects lens distortion for the given camera matrix and distortion coefficients
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CV_EXPORTS_W void | initUndistortRectifyMap (InputArray cameraMatrix, InputArray distCoeffs, InputArray R, InputArray newCameraMatrix, Size size, int m1type, OutputArray map1, OutputArray map2) |
| initializes maps for cv::remap() to correct lens distortion and optionally rectify the image
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CV_EXPORTS_W float | initWideAngleProjMap (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, int destImageWidth, int m1type, OutputArray map1, OutputArray map2, int projType=PROJ_SPHERICAL_EQRECT, double alpha=0) |
| initializes maps for cv::remap() for wide-angle
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CV_EXPORTS_W Mat | getDefaultNewCameraMatrix (InputArray cameraMatrix, Size imgsize=Size(), bool centerPrincipalPoint=false) |
| returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true)
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CV_EXPORTS void | undistortPoints (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray R=noArray(), InputArray P=noArray()) |
| returns points' coordinates after lens distortion correction
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CV_EXPORTS 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) |
| computes the joint dense histogram for a set of images.
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CV_EXPORTS 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) |
| computes the joint sparse histogram for a set of images.
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CV_EXPORTS void | calcBackProject (const Mat *images, int nimages, const int *channels, InputArray hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true) |
| computes back projection for the set of images
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CV_EXPORTS void | calcBackProject (const Mat *images, int nimages, const int *channels, const SparseMat &hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true) |
| computes back projection for the set of images
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CV_EXPORTS_W double | compareHist (InputArray H1, InputArray H2, int method) |
| compares two histograms stored in dense arrays
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CV_EXPORTS double | compareHist (const SparseMat &H1, const SparseMat &H2, int method) |
| compares two histograms stored in sparse arrays
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CV_EXPORTS_W void | equalizeHist (InputArray src, OutputArray dst) |
| normalizes the grayscale image brightness and contrast by normalizing its histogram
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CV_EXPORTS float | EMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), float *lowerBound=0, OutputArray flow=noArray()) |
CV_EXPORTS_W void | watershed (InputArray image, InputOutputArray markers) |
| segments the image using watershed algorithm
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CV_EXPORTS_W void | pyrMeanShiftFiltering (InputArray src, OutputArray dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1)) |
| filters image using meanshift algorithm
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CV_EXPORTS_W void | grabCut (InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL) |
| segments the image using GrabCut algorithm
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CV_EXPORTS_W void | inpaint (InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRange, int flags) |
| restores the damaged image areas using one of the available intpainting algorithms
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CV_EXPORTS_W void | distanceTransform (InputArray src, OutputArray dst, OutputArray labels, int distanceType, int maskSize) |
| builds the discrete Voronoi diagram
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CV_EXPORTS void | distanceTransform (InputArray src, OutputArray dst, int distanceType, int maskSize) |
| computes the distance transform map
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CV_EXPORTS int | floodFill (InputOutputArray image, Point seedPoint, Scalar newVal, CV_OUT Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4) |
| fills the semi-uniform image region starting from the specified seed point
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CV_EXPORTS_W int | floodFill (InputOutputArray image, InputOutputArray mask, Point seedPoint, Scalar newVal, CV_OUT Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4) |
| fills the semi-uniform image region and/or the mask starting from the specified seed point
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CV_EXPORTS_W void | cvtColor (InputArray src, OutputArray dst, int code, int dstCn=0) |
| converts image from one color space to another
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CV_EXPORTS_W Moments | moments (InputArray array, bool binaryImage=false) |
| computes moments of the rasterized shape or a vector of points
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CV_EXPORTS void | HuMoments (const Moments &moments, double hu[7]) |
| computes 7 Hu invariants from the moments
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CV_EXPORTS_W void | matchTemplate (InputArray image, InputArray templ, OutputArray result, int method) |
| computes the proximity map for the raster template and the image where the template is searched for
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CV_EXPORTS void | findContours (InputOutputArray image, OutputArrayOfArrays contours, OutputArray hierarchy, int mode, int method, Point offset=Point()) |
| retrieves contours and the hierarchical information from black-n-white image.
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CV_EXPORTS void | findContours (InputOutputArray image, OutputArrayOfArrays contours, int mode, int method, Point offset=Point()) |
| retrieves contours from black-n-white image.
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CV_EXPORTS void | drawContours (InputOutputArray image, InputArrayOfArrays contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=8, InputArray hierarchy=noArray(), int maxLevel=INT_MAX, Point offset=Point()) |
| draws contours in the image
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CV_EXPORTS void | approxPolyDP (InputArray curve, OutputArray approxCurve, double epsilon, bool closed) |
| approximates contour or a curve using Douglas-Peucker algorithm
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CV_EXPORTS_W double | arcLength (InputArray curve, bool closed) |
| computes the contour perimeter (closed=true) or a curve length
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CV_EXPORTS_W Rect | boundingRect (InputArray points) |
| computes the bounding rectangle for a contour
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CV_EXPORTS_W double | contourArea (InputArray contour, bool oriented=false) |
| computes the contour area
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CV_EXPORTS_W RotatedRect | minAreaRect (InputArray points) |
| computes the minimal rotated rectangle for a set of points
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CV_EXPORTS_W void | minEnclosingCircle (InputArray points, Point2f ¢er, float &radius) |
| computes the minimal enclosing circle for a set of points
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CV_EXPORTS_W double | matchShapes (InputArray contour1, InputArray contour2, int method, double parameter) |
| matches two contours using one of the available algorithms
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CV_EXPORTS void | convexHull (InputArray points, OutputArray hull, bool clockwise=false, bool returnPoints=true) |
| computes convex hull for a set of 2D points.
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CV_EXPORTS_W bool | isContourConvex (InputArray contour) |
| returns true iff the contour is convex. Does not support contours with self-intersection
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CV_EXPORTS_W RotatedRect | fitEllipse (InputArray points) |
| fits ellipse to the set of 2D points
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CV_EXPORTS void | fitLine (InputArray points, OutputArray line, int distType, double param, double reps, double aeps) |
| fits line to the set of 2D points using M-estimator algorithm
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CV_EXPORTS_W double | pointPolygonTest (InputArray contour, Point2f pt, bool measureDist) |
| checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary
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CV_EXPORTS_W void | groupRectangles (vector< Rect > &rectList, int groupThreshold, double eps=0.2) |
CV_EXPORTS_W void | groupRectangles (vector< Rect > &rectList, CV_OUT vector< int > &weights, int groupThreshold, double eps=0.2) |
CV_EXPORTS void | groupRectangles (vector< Rect > &rectList, vector< int > &rejectLevels, vector< double > &levelWeights, int groupThreshold, double eps=0.2) |
CV_EXPORTS void | groupRectangles_meanshift (vector< Rect > &rectList, vector< double > &foundWeights, vector< double > &foundScales, double detectThreshold=0.0, Size winDetSize=Size(64, 128)) |
void CV_EXPORTS_W | groupRectangles (vector< Rect > &rectList, int groupThreshold, double eps, vector< int > *weights, vector< double > *levelWeights) |
CV_EXPORTS void | findDataMatrix (const Mat &image, std::vector< DataMatrixCode > &codes) |
CV_EXPORTS void | drawDataMatrixCodes (const std::vector< DataMatrixCode > &codes, Mat &drawImage) |
CV_EXPORTS_W void | updateMotionHistory (InputArray silhouette, InputOutputArray mhi, double timestamp, double duration) |
| updates motion history image using the current silhouette
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CV_EXPORTS_W void | calcMotionGradient (InputArray mhi, OutputArray mask, OutputArray orientation, double delta1, double delta2, int apertureSize=3) |
| computes the motion gradient orientation image from the motion history image
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CV_EXPORTS_W double | calcGlobalOrientation (InputArray orientation, InputArray mask, InputArray mhi, double timestamp, double duration) |
| computes the global orientation of the selected motion history image part
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CV_EXPORTS_W void | segmentMotion (InputArray mhi, OutputArray segmask, vector< Rect > &boundingRects, double timestamp, double segThresh) |
CV_EXPORTS_W RotatedRect | CamShift (InputArray probImage, CV_IN_OUT Rect &window, TermCriteria criteria) |
| updates the object tracking window using CAMSHIFT algorithm
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CV_EXPORTS_W int | meanShift (InputArray probImage, CV_IN_OUT Rect &window, TermCriteria criteria) |
| updates the object tracking window using meanshift algorithm
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CV_EXPORTS_W void | calcOpticalFlowPyrLK (InputArray prevImg, InputArray nextImg, InputArray prevPts, CV_OUT InputOutputArray nextPts, OutputArray status, OutputArray err, Size winSize=Size(15, 15), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), double derivLambda=0.5, int flags=0) |
| computes sparse optical flow using multi-scale Lucas-Kanade algorithm
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CV_EXPORTS_W void | calcOpticalFlowFarneback (InputArray prev, InputArray next, CV_OUT InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags) |
| computes dense optical flow using Farneback algorithm
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CV_EXPORTS_W Mat | estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine) |
| estimates the best-fit Euqcidean, similarity, affine or perspective transformation
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Variables |
class CV_EXPORTS | Size_ |
class CV_EXPORTS | Point_ |
class CV_EXPORTS | Rect_ |
class CV_EXPORTS | Vec |
class CV_EXPORTS | Matx |
class CV_EXPORTS | MatExpr |
class CV_EXPORTS | MatOp_Base |
class CV_EXPORTS | MatArg |
class CV_EXPORTS | MatConstIterator |
class CV_EXPORTS | Mat_ |
class CV_EXPORTS | MatIterator_ |
class CV_EXPORTS | MatConstIterator_ |
class CV_EXPORTS | MatCommaInitializer_ |
class CV_EXPORTS | MatOp_Iter_ |
class CV_EXPORTS | FileNode |
class CV_EXPORTS | FileNodeIterator |
class CV_EXPORTS | AlgorithmImpl |
OutputArray | sum |
OutputArray OutputArray | sqsum |
OutputArray OutputArray int | sdepth = -1 ) |
OutputArray OutputArray OutputArray | tilted |