CudaInvokeCalcNormDiff Method |
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Returns the difference of two matrices.
Namespace:
Emgu.CV.Cuda
Assembly:
Emgu.CV.Platform.NetStandard (in Emgu.CV.Platform.NetStandard.dll) Version: 4.3.0.3890
Syntaxpublic static void CalcNormDiff(
IInputArray src1,
IInputArray src2,
IOutputArray dst,
NormType normType = NormType.L2,
Stream stream = null
)
Public Shared Sub CalcNormDiff (
src1 As IInputArray,
src2 As IInputArray,
dst As IOutputArray,
Optional normType As NormType = NormType.L2,
Optional stream As Stream = Nothing
)
public:
static void CalcNormDiff(
IInputArray^ src1,
IInputArray^ src2,
IOutputArray^ dst,
NormType normType = NormType::L2,
Stream^ stream = nullptr
)
static member CalcNormDiff :
src1 : IInputArray *
src2 : IInputArray *
dst : IOutputArray *
?normType : NormType *
?stream : Stream
(* Defaults:
let _normType = defaultArg normType NormType.L2
let _stream = defaultArg stream null
*)
-> unit
Parameters
- src1
- Type: Emgu.CVIInputArray
Source matrix. Any matrices except 64F are supported. - src2
- Type: Emgu.CVIInputArray
Second source matrix (if any) with the same size and type as src1. - dst
- Type: Emgu.CVIOutputArray
The GpuMat where the result will be stored in - normType (Optional)
- Type: Emgu.CV.CvEnumNormType
Norm type. NORM_L1 , NORM_L2 , and NORM_INF are supported for now. - stream (Optional)
- Type: Emgu.CV.CudaStream
Use a Stream to call the function asynchronously (non-blocking) or null to call the function synchronously (blocking).
See Also