opencv/doc/gpu_data_structures.tex

\section{Data Structures}


\cvCppFunc{gpu::createContinuous}
Creates continuous matrix in GPU memory.

\cvdefCpp{void createContinuous(int rows, int cols, int type, GpuMat\& m);}
\begin{description}
\cvarg{rows}{Row count.}
\cvarg{cols}{Column count.}
\cvarg{type}{Type of the matrix.}
\cvarg{m}{Destination matrix. Will be only reshaped if it has proper type and area (\texttt{rows} $\times$ \texttt{cols}).}
\end{description}

Also the following wrappers are available:
\cvdefCpp{GpuMat createContinuous(int rows, int cols, int type);\newline
void createContinuous(Size size, int type, GpuMat\& m);\newline
GpuMat createContinuous(Size size, int type);}

Matrix is called continuous if its elements are stored continuously, i.e. wuthout gaps in the end of each row.


\cvCppFunc{gpu::ensureSizeIsEnough}
Ensures that size of matrix is big enough and matrix has proper type. The function doesn't reallocate memory if the  matrix has proper attributes already.

\cvdefCpp{void ensureSizeIsEnough(int rows, int cols, int type, GpuMat\& m);}
\begin{description}
\cvarg{rows}{Minimum desired number of rows.}
\cvarg{cols}{Minimum desired number of cols.}
\cvarg{type}{Desired matrix type.}
\cvarg{m}{Destination matrix.}
\end{description}

Also the following wrapper is available:
\cvdefCpp{void ensureSizeIsEnough(Size size, int type, GpuMat\& m);}