cv::gapi::core Namespace Reference

Namespaces
	cpu
	fluid
	gpu
	ocl
	plaidml

Typedefs
using	GMat2 = std::tuple< GMat, GMat >
using	GMat3 = std::tuple< GMat, GMat, GMat >
using	GMat4 = std::tuple< GMat, GMat, GMat, GMat >
using	GMatScalar = std::tuple< GMat, GScalar >

Functions
	G_TYPED_KERNEL (GAdd,< GMat(GMat, GMat, int)>, "org.opencv.core.math.add")
	G_TYPED_KERNEL (GAddC,< GMat(GMat, GScalar, int)>, "org.opencv.core.math.addC")
	G_TYPED_KERNEL (GSub,< GMat(GMat, GMat, int)>, "org.opencv.core.math.sub")
	G_TYPED_KERNEL (GSubC,< GMat(GMat, GScalar, int)>, "org.opencv.core.math.subC")
	G_TYPED_KERNEL (GSubRC,< GMat(GScalar, GMat, int)>, "org.opencv.core.math.subRC")
	G_TYPED_KERNEL (GMul,< GMat(GMat, GMat, double, int)>, "org.opencv.core.math.mul")
	G_TYPED_KERNEL (GMulCOld,< GMat(GMat, double, int)>, "org.opencv.core.math.mulCOld")
	G_TYPED_KERNEL (GMulC,< GMat(GMat, GScalar, int)>, "org.opencv.core.math.mulC")
	G_TYPED_KERNEL (GMulS,< GMat(GMat, GScalar)>, "org.opencv.core.math.muls")
	G_TYPED_KERNEL (GDiv,< GMat(GMat, GMat, double, int)>, "org.opencv.core.math.div")
	G_TYPED_KERNEL (GDivC,< GMat(GMat, GScalar, double, int)>, "org.opencv.core.math.divC")
	G_TYPED_KERNEL (GDivRC,< GMat(GScalar, GMat, double, int)>, "org.opencv.core.math.divRC")
	G_TYPED_KERNEL (GMean,< GScalar(GMat)>, "org.opencv.core.math.mean")
	G_TYPED_KERNEL (GPhase,< GMat(GMat, GMat, bool)>, "org.opencv.core.math.phase")
	G_TYPED_KERNEL (GMask,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.mask")
	G_TYPED_KERNEL (GCmpGT,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.compare.cmpGT")
	G_TYPED_KERNEL (GCmpGE,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.compare.cmpGE")
	G_TYPED_KERNEL (GCmpLE,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.compare.cmpLE")
	G_TYPED_KERNEL (GCmpLT,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.compare.cmpLT")
	G_TYPED_KERNEL (GCmpEQ,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.compare.cmpEQ")
	G_TYPED_KERNEL (GCmpNE,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.compare.cmpNE")
	G_TYPED_KERNEL (GCmpGTScalar,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.compare.cmpGTScalar")
	G_TYPED_KERNEL (GCmpGEScalar,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.compare.cmpGEScalar")
	G_TYPED_KERNEL (GCmpLEScalar,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.compare.cmpLEScalar")
	G_TYPED_KERNEL (GCmpLTScalar,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.compare.cmpLTScalar")
	G_TYPED_KERNEL (GCmpEQScalar,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.compare.cmpEQScalar")
	G_TYPED_KERNEL (GCmpNEScalar,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.compare.cmpNEScalar")
	G_TYPED_KERNEL (GAnd,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.bitwise_and")
	G_TYPED_KERNEL (GAndS,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.bitwise_andS")
	G_TYPED_KERNEL (GOr,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.bitwise_or")
	G_TYPED_KERNEL (GOrS,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.bitwise_orS")
	G_TYPED_KERNEL (GXor,< GMat(GMat, GMat)>, "org.opencv.core.pixelwise.bitwise_xor")
	G_TYPED_KERNEL (GXorS,< GMat(GMat, GScalar)>, "org.opencv.core.pixelwise.bitwise_xorS")
	G_TYPED_KERNEL (GNot,< GMat(GMat)>, "org.opencv.core.pixelwise.bitwise_not")
	G_TYPED_KERNEL (GSelect,< GMat(GMat, GMat, GMat)>, "org.opencv.core.pixelwise.select")
	G_TYPED_KERNEL (GMin,< GMat(GMat, GMat)>, "org.opencv.core.matrixop.min")
	G_TYPED_KERNEL (GMax,< GMat(GMat, GMat)>, "org.opencv.core.matrixop.max")
	G_TYPED_KERNEL (GAbsDiff,< GMat(GMat, GMat)>, "org.opencv.core.matrixop.absdiff")
	G_TYPED_KERNEL (GAbsDiffC,< GMat(GMat, GScalar)>, "org.opencv.core.matrixop.absdiffC")
	G_TYPED_KERNEL (GSum,< GScalar(GMat)>, "org.opencv.core.matrixop.sum")
	G_TYPED_KERNEL (GCountNonZero,< GOpaque< int >(GMat)>, "org.opencv.core.matrixop.countNonZero")
	G_TYPED_KERNEL (GAddW,< GMat(GMat, double, GMat, double, double, int)>, "org.opencv.core.matrixop.addweighted")
	G_TYPED_KERNEL (GNormL1,< GScalar(GMat)>, "org.opencv.core.matrixop.norml1")
	G_TYPED_KERNEL (GNormL2,< GScalar(GMat)>, "org.opencv.core.matrixop.norml2")
	G_TYPED_KERNEL (GNormInf,< GScalar(GMat)>, "org.opencv.core.matrixop.norminf")
	G_TYPED_KERNEL (GThreshold,< GMat(GMat, GScalar, GScalar, int)>, "org.opencv.core.matrixop.threshold")
	G_TYPED_KERNEL (GInRange,< GMat(GMat, GScalar, GScalar)>, "org.opencv.core.matrixop.inrange")
	G_TYPED_KERNEL (GResize,< GMat(GMat, Size, double, double, int)>, "org.opencv.core.transform.resize")
	G_TYPED_KERNEL (GResizeP,< GMatP(GMatP, Size, int)>, "org.opencv.core.transform.resizeP")
	G_TYPED_KERNEL (GMerge3,< GMat(GMat, GMat, GMat)>, "org.opencv.core.transform.merge3")
	G_TYPED_KERNEL (GMerge4,< GMat(GMat, GMat, GMat, GMat)>, "org.opencv.core.transform.merge4")
	G_TYPED_KERNEL (GRemap,< GMat(GMat, Mat, Mat, int, int, Scalar)>, "org.opencv.core.transform.remap")
	G_TYPED_KERNEL (GFlip,< GMat(GMat, int)>, "org.opencv.core.transform.flip")
	G_TYPED_KERNEL (GCrop,< GMat(GMat, Rect)>, "org.opencv.core.transform.crop")
	G_TYPED_KERNEL (GConcatHor,< GMat(GMat, GMat)>, "org.opencv.imgproc.transform.concatHor")
	G_TYPED_KERNEL (GConcatVert,< GMat(GMat, GMat)>, "org.opencv.imgproc.transform.concatVert")
	G_TYPED_KERNEL (GLUT,< GMat(GMat, Mat)>, "org.opencv.core.transform.LUT")
	G_TYPED_KERNEL (GConvertTo,< GMat(GMat, int, double, double)>, "org.opencv.core.transform.convertTo")
	G_TYPED_KERNEL (GSqrt,< GMat(GMat)>, "org.opencv.core.math.sqrt")
	G_TYPED_KERNEL (GNormalize,< GMat(GMat, double, double, int, int)>, "org.opencv.core.normalize")
	G_TYPED_KERNEL (GWarpPerspective,< GMat(GMat, const Mat &, Size, int, int, const cv::Scalar &)>, "org.opencv.core.warpPerspective")
	G_TYPED_KERNEL (GWarpAffine,< GMat(GMat, const Mat &, Size, int, int, const cv::Scalar &)>, "org.opencv.core.warpAffine")
	G_TYPED_KERNEL (GKMeansND,< std::tuple< GOpaque< double >, GMat, GMat >(GMat, int, GMat, TermCriteria, int, KmeansFlags)>, "org.opencv.core.kmeansND")
	G_TYPED_KERNEL (GKMeansNDNoInit,< std::tuple< GOpaque< double >, GMat, GMat >(GMat, int, TermCriteria, int, KmeansFlags)>, "org.opencv.core.kmeansNDNoInit")
	G_TYPED_KERNEL (GKMeans2D,< std::tuple< GOpaque< double >, GArray< int >, GArray< Point2f >>(GArray< Point2f >, int, GArray< int >, TermCriteria, int, KmeansFlags)>, "org.opencv.core.kmeans2D")
	G_TYPED_KERNEL (GKMeans3D,< std::tuple< GOpaque< double >, GArray< int >, GArray< Point3f >>(GArray< Point3f >, int, GArray< int >, TermCriteria, int, KmeansFlags)>, "org.opencv.core.kmeans3D")
	G_TYPED_KERNEL_M (GPolarToCart,< GMat2(GMat, GMat, bool)>, "org.opencv.core.math.polarToCart")
	G_TYPED_KERNEL_M (GCartToPolar,< GMat2(GMat, GMat, bool)>, "org.opencv.core.math.cartToPolar")
	G_TYPED_KERNEL_M (GIntegral,< GMat2(GMat, int, int)>, "org.opencv.core.matrixop.integral")
	G_TYPED_KERNEL_M (GThresholdOT,< GMatScalar(GMat, GScalar, int)>, "org.opencv.core.matrixop.thresholdOT")
	G_TYPED_KERNEL_M (GSplit3,< GMat3(GMat)>, "org.opencv.core.transform.split3")
	G_TYPED_KERNEL_M (GSplit4,< GMat4(GMat)>,"org.opencv.core.transform.split4")

Typedef Documentation

GMat2

using cv::gapi::core::GMat2 = typedef std::tuple<GMat,GMat>

GMat3

using cv::gapi::core::GMat3 = typedef std::tuple<GMat,GMat,GMat>

GMat4

using cv::gapi::core::GMat4 = typedef std::tuple<GMat,GMat,GMat,GMat>

GMatScalar

using cv::gapi::core::GMatScalar = typedef std::tuple<GMat, GScalar>

Function Documentation

G_TYPED_KERNEL() [1/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAdd	,
		< GMat(GMat, GMat, int)>	,
		"org.opencv.core.math.add"
	)

G_TYPED_KERNEL() [2/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAddC	,
		< GMat(GMat, GScalar, int)>	,
		"org.opencv.core.math.addC"
	)

G_TYPED_KERNEL() [3/66]

cv::gapi::core::G_TYPED_KERNEL	(	GSub	,
		< GMat(GMat, GMat, int)>	,
		"org.opencv.core.math.sub"
	)

G_TYPED_KERNEL() [4/66]

cv::gapi::core::G_TYPED_KERNEL	(	GSubC	,
		< GMat(GMat, GScalar, int)>	,
		"org.opencv.core.math.subC"
	)

G_TYPED_KERNEL() [5/66]

cv::gapi::core::G_TYPED_KERNEL	(	GSubRC	,
		< GMat(GScalar, GMat, int)>	,
		"org.opencv.core.math.subRC"
	)

G_TYPED_KERNEL() [6/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMul	,
		< GMat(GMat, GMat, double, int)>	,
		"org.opencv.core.math.mul"
	)

G_TYPED_KERNEL() [7/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMulCOld	,
		< GMat(GMat, double, int)>	,
		"org.opencv.core.math.mulCOld"
	)

G_TYPED_KERNEL() [8/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMulC	,
		< GMat(GMat, GScalar, int)>	,
		"org.opencv.core.math.mulC"
	)

G_TYPED_KERNEL() [9/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMulS	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.math.muls"
	)

G_TYPED_KERNEL() [10/66]

cv::gapi::core::G_TYPED_KERNEL	(	GDiv	,
		< GMat(GMat, GMat, double, int)>	,
		"org.opencv.core.math.div"
	)

G_TYPED_KERNEL() [11/66]

cv::gapi::core::G_TYPED_KERNEL	(	GDivC	,
		< GMat(GMat, GScalar, double, int)>	,
		"org.opencv.core.math.divC"
	)

G_TYPED_KERNEL() [12/66]

cv::gapi::core::G_TYPED_KERNEL	(	GDivRC	,
		< GMat(GScalar, GMat, double, int)>	,
		"org.opencv.core.math.divRC"
	)

G_TYPED_KERNEL() [13/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMean	,
		< GScalar(GMat)>	,
		"org.opencv.core.math.mean"
	)

G_TYPED_KERNEL() [14/66]

cv::gapi::core::G_TYPED_KERNEL	(	GPhase	,
		< GMat(GMat, GMat, bool)>	,
		"org.opencv.core.math.phase"
	)

G_TYPED_KERNEL() [15/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMask	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.mask"
	)

G_TYPED_KERNEL() [16/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpGT	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.compare.cmpGT"
	)

G_TYPED_KERNEL() [17/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpGE	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.compare.cmpGE"
	)

G_TYPED_KERNEL() [18/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpLE	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.compare.cmpLE"
	)

G_TYPED_KERNEL() [19/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpLT	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.compare.cmpLT"
	)

G_TYPED_KERNEL() [20/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpEQ	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.compare.cmpEQ"
	)

G_TYPED_KERNEL() [21/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpNE	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.compare.cmpNE"
	)

G_TYPED_KERNEL() [22/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpGTScalar	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.compare.cmpGTScalar"
	)

G_TYPED_KERNEL() [23/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpGEScalar	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.compare.cmpGEScalar"
	)

G_TYPED_KERNEL() [24/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpLEScalar	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.compare.cmpLEScalar"
	)

G_TYPED_KERNEL() [25/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpLTScalar	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.compare.cmpLTScalar"
	)

G_TYPED_KERNEL() [26/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpEQScalar	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.compare.cmpEQScalar"
	)

G_TYPED_KERNEL() [27/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCmpNEScalar	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.compare.cmpNEScalar"
	)

G_TYPED_KERNEL() [28/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAnd	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.bitwise_and"
	)

G_TYPED_KERNEL() [29/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAndS	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.bitwise_andS"
	)

G_TYPED_KERNEL() [30/66]

cv::gapi::core::G_TYPED_KERNEL	(	GOr	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.bitwise_or"
	)

G_TYPED_KERNEL() [31/66]

cv::gapi::core::G_TYPED_KERNEL	(	GOrS	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.bitwise_orS"
	)

G_TYPED_KERNEL() [32/66]

cv::gapi::core::G_TYPED_KERNEL	(	GXor	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.pixelwise.bitwise_xor"
	)

G_TYPED_KERNEL() [33/66]

cv::gapi::core::G_TYPED_KERNEL	(	GXorS	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.pixelwise.bitwise_xorS"
	)

G_TYPED_KERNEL() [34/66]

cv::gapi::core::G_TYPED_KERNEL	(	GNot	,
		< GMat(GMat)>	,
		"org.opencv.core.pixelwise.bitwise_not"
	)

G_TYPED_KERNEL() [35/66]

cv::gapi::core::G_TYPED_KERNEL	(	GSelect	,
		< GMat(GMat, GMat, GMat)>	,
		"org.opencv.core.pixelwise.select"
	)

G_TYPED_KERNEL() [36/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMin	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.matrixop.min"
	)

G_TYPED_KERNEL() [37/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMax	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.matrixop.max"
	)

G_TYPED_KERNEL() [38/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAbsDiff	,
		< GMat(GMat, GMat)>	,
		"org.opencv.core.matrixop.absdiff"
	)

G_TYPED_KERNEL() [39/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAbsDiffC	,
		< GMat(GMat, GScalar)>	,
		"org.opencv.core.matrixop.absdiffC"
	)

G_TYPED_KERNEL() [40/66]

cv::gapi::core::G_TYPED_KERNEL	(	GSum	,
		< GScalar(GMat)>	,
		"org.opencv.core.matrixop.sum"
	)

G_TYPED_KERNEL() [41/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCountNonZero	,
		< GOpaque< int >(GMat)>	,
		"org.opencv.core.matrixop.countNonZero"
	)

G_TYPED_KERNEL() [42/66]

cv::gapi::core::G_TYPED_KERNEL	(	GAddW	,
		< GMat(GMat, double, GMat, double, double, int)>	,
		"org.opencv.core.matrixop.addweighted"
	)

G_TYPED_KERNEL() [43/66]

cv::gapi::core::G_TYPED_KERNEL	(	GNormL1	,
		< GScalar(GMat)>	,
		"org.opencv.core.matrixop.norml1"
	)

G_TYPED_KERNEL() [44/66]

cv::gapi::core::G_TYPED_KERNEL	(	GNormL2	,
		< GScalar(GMat)>	,
		"org.opencv.core.matrixop.norml2"
	)

G_TYPED_KERNEL() [45/66]

cv::gapi::core::G_TYPED_KERNEL	(	GNormInf	,
		< GScalar(GMat)>	,
		"org.opencv.core.matrixop.norminf"
	)

G_TYPED_KERNEL() [46/66]

cv::gapi::core::G_TYPED_KERNEL	(	GThreshold	,
		< GMat(GMat, GScalar, GScalar, int)>	,
		"org.opencv.core.matrixop.threshold"
	)

G_TYPED_KERNEL() [47/66]

cv::gapi::core::G_TYPED_KERNEL	(	GInRange	,
		< GMat(GMat, GScalar, GScalar)>	,
		"org.opencv.core.matrixop.inrange"
	)

G_TYPED_KERNEL() [48/66]

cv::gapi::core::G_TYPED_KERNEL	(	GResize	,
		< GMat(GMat, Size, double, double, int)>	,
		"org.opencv.core.transform.resize"
	)

G_TYPED_KERNEL() [49/66]

cv::gapi::core::G_TYPED_KERNEL	(	GResizeP	,
		< GMatP(GMatP, Size, int)>	,
		"org.opencv.core.transform.resizeP"
	)

G_TYPED_KERNEL() [50/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMerge3	,
		< GMat(GMat, GMat, GMat)>	,
		"org.opencv.core.transform.merge3"
	)

G_TYPED_KERNEL() [51/66]

cv::gapi::core::G_TYPED_KERNEL	(	GMerge4	,
		< GMat(GMat, GMat, GMat, GMat)>	,
		"org.opencv.core.transform.merge4"
	)

G_TYPED_KERNEL() [52/66]

cv::gapi::core::G_TYPED_KERNEL	(	GRemap	,
		< GMat(GMat, Mat, Mat, int, int, Scalar)>	,
		"org.opencv.core.transform.remap"
	)

G_TYPED_KERNEL() [53/66]

cv::gapi::core::G_TYPED_KERNEL	(	GFlip	,
		< GMat(GMat, int)>	,
		"org.opencv.core.transform.flip"
	)

G_TYPED_KERNEL() [54/66]

cv::gapi::core::G_TYPED_KERNEL	(	GCrop	,
		< GMat(GMat, Rect)>	,
		"org.opencv.core.transform.crop"
	)

G_TYPED_KERNEL() [55/66]

cv::gapi::core::G_TYPED_KERNEL	(	GConcatHor	,
		< GMat(GMat, GMat)>	,
		"org.opencv.imgproc.transform.concatHor"
	)

G_TYPED_KERNEL() [56/66]

cv::gapi::core::G_TYPED_KERNEL	(	GConcatVert	,
		< GMat(GMat, GMat)>	,
		"org.opencv.imgproc.transform.concatVert"
	)

G_TYPED_KERNEL() [57/66]

cv::gapi::core::G_TYPED_KERNEL	(	GLUT	,
		< GMat(GMat, Mat)>	,
		"org.opencv.core.transform.LUT"
	)

G_TYPED_KERNEL() [58/66]

cv::gapi::core::G_TYPED_KERNEL	(	GConvertTo	,
		< GMat(GMat, int, double, double)>	,
		"org.opencv.core.transform.convertTo"
	)

G_TYPED_KERNEL() [59/66]

cv::gapi::core::G_TYPED_KERNEL	(	GSqrt	,
		< GMat(GMat)>	,
		"org.opencv.core.math.sqrt"
	)

G_TYPED_KERNEL() [60/66]

cv::gapi::core::G_TYPED_KERNEL	(	GNormalize	,
		< GMat(GMat, double, double, int, int)>	,
		"org.opencv.core.normalize"
	)

G_TYPED_KERNEL() [61/66]

cv::gapi::core::G_TYPED_KERNEL	(	GWarpPerspective	,
		< GMat(GMat, const Mat &, Size, int, int, const cv::Scalar &)>	,
		"org.opencv.core.warpPerspective"
	)

G_TYPED_KERNEL() [62/66]

cv::gapi::core::G_TYPED_KERNEL	(	GWarpAffine	,
		< GMat(GMat, const Mat &, Size, int, int, const cv::Scalar &)>	,
		"org.opencv.core.warpAffine"
	)

G_TYPED_KERNEL() [63/66]

cv::gapi::core::G_TYPED_KERNEL	(	GKMeansND	,
		< std::tuple< GOpaque< double >, GMat, GMat >(GMat, int, GMat, TermCriteria, int, KmeansFlags)>	,
		"org.opencv.core.kmeansND"
	)

G_TYPED_KERNEL() [64/66]

cv::gapi::core::G_TYPED_KERNEL	(	GKMeansNDNoInit	,
		< std::tuple< GOpaque< double >, GMat, GMat >(GMat, int, TermCriteria, int, KmeansFlags)>	,
		"org.opencv.core.kmeansNDNoInit"
	)

G_TYPED_KERNEL() [65/66]

cv::gapi::core::G_TYPED_KERNEL	(	GKMeans2D	,
		< std::tuple< GOpaque< double >, GArray< int >, GArray< Point2f >>(GArray< Point2f >, int, GArray< int >, TermCriteria, int, KmeansFlags)>	,
		"org.opencv.core.kmeans2D"
	)

G_TYPED_KERNEL() [66/66]

cv::gapi::core::G_TYPED_KERNEL	(	GKMeans3D	,
		< std::tuple< GOpaque< double >, GArray< int >, GArray< Point3f >>(GArray< Point3f >, int, GArray< int >, TermCriteria, int, KmeansFlags)>	,
		"org.opencv.core.kmeans3D"
	)

G_TYPED_KERNEL_M() [1/6]

cv::gapi::core::G_TYPED_KERNEL_M	(	GPolarToCart	,
		< GMat2(GMat, GMat, bool)>	,
		"org.opencv.core.math.polarToCart"
	)

G_TYPED_KERNEL_M() [2/6]

cv::gapi::core::G_TYPED_KERNEL_M	(	GCartToPolar	,
		< GMat2(GMat, GMat, bool)>	,
		"org.opencv.core.math.cartToPolar"
	)

G_TYPED_KERNEL_M() [3/6]

cv::gapi::core::G_TYPED_KERNEL_M	(	GIntegral	,
		< GMat2(GMat, int, int)>	,
		"org.opencv.core.matrixop.integral"
	)

G_TYPED_KERNEL_M() [4/6]

cv::gapi::core::G_TYPED_KERNEL_M	(	GThresholdOT	,
		< GMatScalar(GMat, GScalar, int)>	,
		"org.opencv.core.matrixop.thresholdOT"
	)

G_TYPED_KERNEL_M() [5/6]

cv::gapi::core::G_TYPED_KERNEL_M	(	GSplit3	,
		< GMat3(GMat)>	,
		"org.opencv.core.transform.split3"
	)

G_TYPED_KERNEL_M() [6/6]

cv::gapi::core::G_TYPED_KERNEL_M	(	GSplit4	,
		< GMat4(GMat)>	,
		"org.opencv.core.transform.split4"
	)