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add auxiliary functions to work with Input/Output arrays:

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they allow to perform asynchronous upload/download into temporary buffer
to get valid GpuMat object
This commit is contained in:
Vladislav Vinogradov 2014-12-24 13:33:17 +03:00
parent 61991a3330
commit 00e7816c1b
2 changed files with 57 additions and 0 deletions
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10
modules/core/include/opencv2/core/private.cuda.hpp
View File

@ -106,6 +106,16 @@ namespace cv { namespace cuda
GpuMat::Allocator* allocator_;
};
CV_EXPORTS GpuMat getInputMat(InputArray _src, Stream& stream);
CV_EXPORTS GpuMat getOutputMat(OutputArray _dst, int rows, int cols, int type, Stream& stream);
static inline GpuMat getOutputMat(OutputArray _dst, Size size, int type, Stream& stream)
{
return getOutputMat(_dst, size.height, size.width, type, stream);
}
CV_EXPORTS void syncOutput(const GpuMat& dst, OutputArray _dst, Stream& stream);
static inline void checkNppError(int code, const char* file, const int line, const char* func)
{
if (code < 0)

47
modules/core/src/cuda_gpu_mat.cpp
View File

@ -342,6 +342,53 @@ void cv::cuda::ensureSizeIsEnough(int rows, int cols, int type, OutputArray arr)
}
}
GpuMat cv::cuda::getInputMat(InputArray _src, Stream& stream)
{
GpuMat src;
if (_src.kind() == _InputArray::CUDA_GPU_MAT)
{
src = _src.getGpuMat();
}
else if (!_src.empty())
{
BufferPool pool(stream);
src = pool.getBuffer(_src.size(), _src.type());
src.upload(_src, stream);
}
return src;
}
GpuMat cv::cuda::getOutputMat(OutputArray _dst, int rows, int cols, int type, Stream& stream)
{
GpuMat dst;
if (_dst.kind() == _InputArray::CUDA_GPU_MAT)
{
_dst.create(rows, cols, type);
dst = _dst.getGpuMat();
}
else
{
BufferPool pool(stream);
dst = pool.getBuffer(rows, cols, type);
}
return dst;
}
void cv::cuda::syncOutput(const GpuMat& dst, OutputArray _dst, Stream& stream)
{
if (_dst.kind() != _InputArray::CUDA_GPU_MAT)
{
if (stream)
dst.download(_dst, stream);
else
dst.download(_dst);
}
}
#ifndef HAVE_CUDA
GpuMat::Allocator* cv::cuda::GpuMat::defaultAllocator()