Operations on Matrices
gpu::gemm
Performs generalized matrix multiplication.
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C++: void gpu::gemm(const GpuMat& src1, const GpuMat& src2, double alpha, const GpuMat& src3, double beta, GpuMat& dst, int flags=0, Stream& stream=Stream::Null())
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| Parameters: | 
src1 – First multiplied input matrix that should have  CV_32FC1 , CV_64FC1 , CV_32FC2 , or  CV_64FC2  type.src2 – Second multiplied input matrix of the same type as  src1 .alpha – Weight of the matrix product.src3 – Third optional delta matrix added to the matrix product. It should have the same type as  src1  and  src2 .beta – Weight of  src3 .dst – Destination matrix. It has the proper size and the same type as input matrices.flags – Operation flags: 
GEMM_1_T transpose  src1GEMM_2_T transpose  src2GEMM_3_T transpose  src3stream – Stream for the asynchronous version. | 
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The function performs generalized matrix multiplication similar to the gemm functions in BLAS level 3. For example, gemm(src1, src2, alpha, src3, beta, dst, GEMM_1_T + GEMM_3_T) corresponds to
Note
Transposition operation doesn’t support  CV_64FC2  input type.
 
 
gpu::transpose
Transposes a matrix.
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C++: void gpu::transpose(const GpuMat& src1, GpuMat& dst, Stream& stream=Stream::Null() )
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| Parameters: | 
src1 – Source matrix. 1-, 4-, 8-byte element sizes are supported for now (CV_8UC1, CV_8UC4, CV_16UC2, CV_32FC1, etc).dst – Destination matrix.stream – Stream for the asynchronous version. | 
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gpu::flip
Flips a 2D matrix around vertical, horizontal, or both axes.
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C++: void gpu::flip(const GpuMat& a, GpuMat& b, int flipCode, Stream& stream=Stream::Null() )
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gpu::LUT
Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I))
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C++: void gpu::LUT(const GpuMat& src, const Mat& lut, GpuMat& dst, Stream& stream=Stream::Null())
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| Parameters: | 
src – Source matrix.  CV_8UC1  and  CV_8UC3  matrices are supported for now.lut – Look-up table of 256 elements. It is a continuous CV_8U matrix.dst – Destination matrix with the same depth as  lut  and the same number of channels as  src .stream – Stream for the asynchronous version. | 
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gpu::merge
Makes a multi-channel matrix out of several single-channel matrices.
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C++: void gpu::merge(const GpuMat* src, size_t n, GpuMat& dst, Stream& stream=Stream::Null())
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C++: void gpu::merge(const vector<GpuMat>& src, GpuMat& dst, Stream& stream=Stream::Null())
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| Parameters: | 
src – Array/vector of source matrices.n – Number of source matrices.dst – Destination matrix.stream – Stream for the asynchronous version. | 
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gpu::split
Copies each plane of a multi-channel matrix into an array.
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C++: void gpu::split(const GpuMat& src, GpuMat* dst, Stream& stream=Stream::Null())
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C++: void gpu::split(const GpuMat& src, vector<GpuMat>& dst, Stream& stream=Stream::Null())
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| Parameters: | 
src – Source matrix.dst – Destination array/vector of single-channel matrices.stream – Stream for the asynchronous version. | 
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gpu::magnitude
Computes magnitudes of complex matrix elements.
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C++: void gpu::magnitude(const GpuMat& xy, GpuMat& magnitude, Stream& stream=Stream::Null() )
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C++: void gpu::magnitude(const GpuMat& x, const GpuMat& y, GpuMat& magnitude, Stream& stream=Stream::Null())
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| Parameters: | 
xy – Source complex matrix in the interleaved format ( CV_32FC2 ).x – Source matrix containing real components ( CV_32FC1 ).y – Source matrix containing imaginary components ( CV_32FC1 ).magnitude – Destination matrix of float magnitudes ( CV_32FC1 ).stream – Stream for the asynchronous version. | 
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gpu::magnitudeSqr
Computes squared magnitudes of complex matrix elements.
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C++: void gpu::magnitudeSqr(const GpuMat& xy, GpuMat& magnitude, Stream& stream=Stream::Null() )
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C++: void gpu::magnitudeSqr(const GpuMat& x, const GpuMat& y, GpuMat& magnitude, Stream& stream=Stream::Null())
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| Parameters: | 
xy – Source complex matrix in the interleaved format ( CV_32FC2 ).x – Source matrix containing real components ( CV_32FC1 ).y – Source matrix containing imaginary components ( CV_32FC1 ).magnitude – Destination matrix of float magnitude squares ( CV_32FC1 ).stream – Stream for the asynchronous version. | 
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gpu::phase
Computes polar angles of complex matrix elements.
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C++: void gpu::phase(const GpuMat& x, const GpuMat& y, GpuMat& angle, bool angleInDegrees=false, Stream& stream=Stream::Null())
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| Parameters: | 
x – Source matrix containing real components ( CV_32FC1 ).y – Source matrix containing imaginary components ( CV_32FC1 ).angle – Destination matrix of angles ( CV_32FC1 ).angleInDegrees – Flag for angles that must be evaluated in degrees.stream – Stream for the asynchronous version. | 
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gpu::cartToPolar
Converts Cartesian coordinates into polar.
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C++: void gpu::cartToPolar(const GpuMat& x, const GpuMat& y, GpuMat& magnitude, GpuMat& angle, bool angleInDegrees=false, Stream& stream=Stream::Null())
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| Parameters: | 
x – Source matrix containing real components ( CV_32FC1 ).y – Source matrix containing imaginary components ( CV_32FC1 ).magnitude – Destination matrix of float magnitudes ( CV_32FC1 ).angle – Destination matrix of angles ( CV_32FC1 ).angleInDegrees – Flag for angles that must be evaluated in degrees.stream – Stream for the asynchronous version. | 
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gpu::polarToCart
Converts polar coordinates into Cartesian.
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C++: void gpu::polarToCart(const GpuMat& magnitude, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees=false, Stream& stream=Stream::Null())
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| Parameters: | 
magnitude – Source matrix containing magnitudes ( CV_32FC1 ).angle – Source matrix containing angles ( CV_32FC1 ).x – Destination matrix of real components ( CV_32FC1 ).y – Destination matrix of imaginary components ( CV_32FC1 ).angleInDegrees – Flag that indicates angles in degrees.stream – Stream for the asynchronous version. | 
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gpu::normalize
Normalizes the norm or value range of an array.
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C++: void gpu::normalize(const GpuMat& src, GpuMat& dst, double alpha=1, double beta=0, int norm_type=NORM_L2, int dtype=-1, const GpuMat& mask=GpuMat())
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C++: void gpu::normalize(const GpuMat& src, GpuMat& dst, double a, double b, int norm_type, int dtype, const GpuMat& mask, GpuMat& norm_buf, GpuMat& cvt_buf)
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| Parameters: | 
src – input array.dst – output array of the same size as  src .alpha – norm value to normalize to or the lower range boundary in case of the range normalization.beta – upper range boundary in case of the range normalization; it is not used for the norm normalization.normType – normalization type (see the details below).dtype – when negative, the output array has the same type as src; otherwise, it has the same number of channels as  src and the depth =CV_MAT_DEPTH(dtype).mask – optional operation mask.norm_buf – Optional buffer to avoid extra memory allocations. It is resized automatically.cvt_buf – Optional buffer to avoid extra memory allocations. It is resized automatically. | 
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