switched to Input/Output Array in transpose/flip operations
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@@ -170,17 +170,17 @@ CV_EXPORTS void merge(const std::vector<GpuMat>& src, OutputArray dst, Stream& s
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CV_EXPORTS void split(InputArray src, GpuMat* dst, Stream& stream = Stream::Null());
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CV_EXPORTS void split(InputArray src, std::vector<GpuMat>& dst, Stream& stream = Stream::Null());
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//! implements generalized matrix product algorithm GEMM from BLAS
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CV_EXPORTS void gemm(const GpuMat& src1, const GpuMat& src2, double alpha,
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const GpuMat& src3, double beta, GpuMat& dst, int flags = 0, Stream& stream = Stream::Null());
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//! transposes the matrix
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//! supports matrix with element size = 1, 4 and 8 bytes (CV_8UC1, CV_8UC4, CV_16UC2, CV_32FC1, etc)
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CV_EXPORTS void transpose(const GpuMat& src1, GpuMat& dst, Stream& stream = Stream::Null());
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CV_EXPORTS void transpose(InputArray src1, OutputArray dst, Stream& stream = Stream::Null());
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//! reverses the order of the rows, columns or both in a matrix
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//! supports 1, 3 and 4 channels images with CV_8U, CV_16U, CV_32S or CV_32F depth
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CV_EXPORTS void flip(const GpuMat& a, GpuMat& b, int flipCode, Stream& stream = Stream::Null());
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CV_EXPORTS void flip(InputArray src, OutputArray dst, int flipCode, Stream& stream = Stream::Null());
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//! implements generalized matrix product algorithm GEMM from BLAS
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CV_EXPORTS void gemm(const GpuMat& src1, const GpuMat& src2, double alpha,
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const GpuMat& src3, double beta, GpuMat& dst, int flags = 0, Stream& stream = Stream::Null());
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//! transforms 8-bit unsigned integers using lookup table: dst(i)=lut(src(i))
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//! destination array will have the depth type as lut and the same channels number as source
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