fixed docs
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@ -54,7 +54,7 @@ template<typename T> struct PtrStep_
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\end{lstlisting}
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\end{lstlisting}
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\cvclass{gpu::PtrElemStrp\_}\
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\cvclass{gpu::PtrElemStrp\_}
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This is structure is similar to DevMem2D\_ but contains only pointer and row step in elements. Width and height fields are excluded due to performance reasons. This class is can only be constructed if sizeof(T) is a multiple of 256. The structure is for internal use or for users who write own device code.
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This is structure is similar to DevMem2D\_ but contains only pointer and row step in elements. Width and height fields are excluded due to performance reasons. This class is can only be constructed if sizeof(T) is a multiple of 256. The structure is for internal use or for users who write own device code.
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\begin{lstlisting}
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\begin{lstlisting}
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@ -272,4 +272,4 @@ Ensures that size of matrix is big enough and matrix has proper type. The functi
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\end{description}
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\end{description}
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Also the following wrapper is available:
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Also the following wrapper is available:
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\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}
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\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}
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@ -1,4 +1,4 @@
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\section {GPU module introduction}
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\section{GPU module introduction}
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\subsection{General information}
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\subsection{General information}
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@ -56,4 +56,4 @@ Each pair of stripes (from the left and the right images) has been processed on
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The results are merged into the single disparity map.
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The results are merged into the single disparity map.
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\end{itemize}
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\end{itemize}
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With this scheme dual GPU gave 180\% performance increase comparing to the single Fermi GPU. The source code of the example is available at
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With this scheme dual GPU gave 180\% performance increase comparing to the single Fermi GPU. The source code of the example is available at
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\url{https://code.ros.org/svn/opencv/trunk/opencv/examples/gpu/}
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\url{https://code.ros.org/svn/opencv/trunk/opencv/examples/gpu/}
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