move allocMatFromBuf function to farneback.cpp:
* it is the only place, where it is used * no need to make this function public
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@ -314,8 +314,6 @@ The function does not reallocate memory if the matrix has proper attributes alre
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*/
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CV_EXPORTS void ensureSizeIsEnough(int rows, int cols, int type, OutputArray arr);
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CV_EXPORTS GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat& mat);
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//! BufferPool management (must be called before Stream creation)
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CV_EXPORTS void setBufferPoolUsage(bool on);
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CV_EXPORTS void setBufferPoolConfig(int deviceId, size_t stackSize, int stackCount);
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@ -342,14 +342,6 @@ void cv::cuda::ensureSizeIsEnough(int rows, int cols, int type, OutputArray arr)
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}
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}
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GpuMat cv::cuda::allocMatFromBuf(int rows, int cols, int type, GpuMat& mat)
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{
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if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
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return mat(Rect(0, 0, cols, rows));
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return mat = GpuMat(rows, cols, type);
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}
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#ifndef HAVE_CUDA
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GpuMat::Allocator* cv::cuda::GpuMat::defaultAllocator()
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@ -95,6 +95,16 @@ namespace cv { namespace cuda { namespace device { namespace optflow_farneback
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}}}} // namespace cv { namespace cuda { namespace cudev { namespace optflow_farneback
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namespace
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{
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GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat& mat)
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{
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if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
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return mat(Rect(0, 0, cols, rows));
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return mat = GpuMat(rows, cols, type);
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}
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}
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void cv::cuda::FarnebackOpticalFlow::prepareGaussian(
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int n, double sigma, float *g, float *xg, float *xxg,
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