pull/13383/head
Alexey Spizhevoy 14 years ago
parent ea94b43541
commit 97b0335ef6
  1. 4
      doc/gpu_data_structures.tex
  2. 4
      doc/gpu_introduction.tex

@ -54,7 +54,7 @@ template<typename T> struct PtrStep_
\end{lstlisting}
\cvclass{gpu::PtrElemStrp\_}\
\cvclass{gpu::PtrElemStrp\_}
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.
\begin{lstlisting}
@ -272,4 +272,4 @@ Ensures that size of matrix is big enough and matrix has proper type. The functi
\end{description}
Also the following wrapper is available:
\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}
\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}

@ -1,4 +1,4 @@
\section {GPU module introduction}
\section{GPU module introduction}
\subsection{General information}
@ -56,4 +56,4 @@ Each pair of stripes (from the left and the right images) has been processed on
The results are merged into the single disparity map.
\end{itemize}
With this scheme dual GPU gave 180\% performance increase comparing to the single Fermi GPU. The source code of the example is available at
\url{https://code.ros.org/svn/opencv/trunk/opencv/examples/gpu/}
\url{https://code.ros.org/svn/opencv/trunk/opencv/examples/gpu/}

Loading…
Cancel
Save