Core Operations on Matrices

cuda::merge

Makes a multi-channel matrix out of several single-channel matrices.

C++: void cuda::merge(const GpuMat* src, size_t n, OutputArray dst, Stream& stream=Stream::Null())

C++: void cuda::merge(const std::vector<GpuMat>& src, OutputArray dst, Stream& stream=Stream::Null())

Parameters:

• src – Array/vector of source matrices.
• n – Number of source matrices.
• dst – Destination matrix.
• stream – Stream for the asynchronous version.

See also

merge()

cuda::split

Copies each plane of a multi-channel matrix into an array.

C++: void cuda::split(InputArray src, GpuMat* dst, Stream& stream=Stream::Null())

C++: void cuda::split(InputArray src, vector<GpuMat>& dst, Stream& stream=Stream::Null())

Parameters:

• src – Source matrix.
• dst – Destination array/vector of single-channel matrices.
• stream – Stream for the asynchronous version.

See also

split()

cuda::transpose

Transposes a matrix.

C++: void cuda::transpose(InputArray src1, OutputArray dst, Stream& stream=Stream::Null())

Parameters:

• src1 – Source matrix. 1-, 4-, 8-byte element sizes are supported for now.
• dst – Destination matrix.
• stream – Stream for the asynchronous version.

See also

transpose()

cuda::flip

Flips a 2D matrix around vertical, horizontal, or both axes.

C++: void cuda::flip(InputArray src, OutputArray dst, int flipCode, Stream& stream=Stream::Null())

Parameters:

• src – Source matrix. Supports 1, 3 and 4 channels images with CV_8U, CV_16U, CV_32S or CV_32F depth.
• dst – Destination matrix.
• flipCode –

  Flip mode for the source:

  • 0 Flips around x-axis.
  • > 0 Flips around y-axis.
  • < 0 Flips around both axes.
• stream – Stream for the asynchronous version.

See also

flip()

cuda::LookUpTable

class cuda::LookUpTable : public Algorithm

Base class for transform using lookup table.

class CV_EXPORTS LookUpTable : public Algorithm
{
public:
    virtual void transform(InputArray src, OutputArray dst, Stream& stream = Stream::Null()) = 0;
};

See also

LUT()

cuda::LookUpTable::transform

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

C++: void cuda::LookUpTable::transform(InputArray src, OutputArray dst, Stream& stream=Stream::Null())

Parameters:

• src – Source matrix. CV_8UC1 and CV_8UC3 matrices are supported for now.
• dst – Destination matrix.
• stream – Stream for the asynchronous version.

cuda::createLookUpTable

Creates implementation for cuda::LookUpTable .

C++: Ptr<LookUpTable> createLookUpTable(InputArray lut)

Parameters:

• lut – Look-up table of 256 elements. It is a continuous CV_8U matrix.

cuda::copyMakeBorder

Forms a border around an image.

C++: void cuda::copyMakeBorder(InputArray src, OutputArray dst, int top, int bottom, int left, int right, int borderType, Scalar value=Scalar(), Stream& stream=Stream::Null())

Parameters:

• src – Source image. CV_8UC1 , CV_8UC4 , CV_32SC1 , and CV_32FC1 types are supported.
• dst – Destination image with the same type as src. The size is Size(src.cols+left+right, src.rows+top+bottom) .
• top –
• bottom –
• left –
• right – Number of pixels in each direction from the source image rectangle to extrapolate. For example: top=1, bottom=1, left=1, right=1 mean that 1 pixel-wide border needs to be built.
• borderType – Border type. See borderInterpolate() for details. BORDER_REFLECT101 , BORDER_REPLICATE , BORDER_CONSTANT , BORDER_REFLECT and BORDER_WRAP are supported for now.
• value – Border value.
• stream – Stream for the asynchronous version.

See also

copyMakeBorder()