generic-library/opencv
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added TransformFunctorTraits, optimized some functions that use transform

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This commit is contained in:
Vladislav Vinogradov
2011-08-17 11:32:24 +00:00
parent 6ce2277cc7
commit 5e9ae6b19f
11 changed files with 591 additions and 312 deletions
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29
modules/gpu/src/cudastream.cpp
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@@ -71,23 +71,16 @@ cv::gpu::Stream::operator bool() const { throw_nogpu(); return false; }
#include "opencv2/gpu/stream_accessor.hpp"
namespace cv
{
namespace gpu
{
namespace matrix_operations
{
void copy_to_with_mask(const DevMem2D& src, DevMem2D dst, int depth, const DevMem2D& mask, int channels, const cudaStream_t & stream = 0);
namespace cv { namespace gpu { namespace device {
void copy_to_with_mask(const DevMem2D& src, DevMem2D dst, int depth, const DevMem2D& mask, int channels, const cudaStream_t & stream = 0);
template <typename T>
void set_to_gpu(const DevMem2D& mat, const T* scalar, int channels, cudaStream_t stream);
template <typename T>
void set_to_gpu(const DevMem2D& mat, const T* scalar, const DevMem2D& mask, int channels, cudaStream_t stream);
template <typename T>
void set_to_gpu(const DevMem2D& mat, const T* scalar, int channels, cudaStream_t stream);
template <typename T>
void set_to_gpu(const DevMem2D& mat, const T* scalar, const DevMem2D& mask, int channels, cudaStream_t stream);
void convert_gpu(const DevMem2D& src, int sdepth, const DevMem2D& dst, int ddepth, double alpha, double beta, cudaStream_t stream = 0);
}
}
}
void convert_gpu(const DevMem2D& src, int sdepth, const DevMem2D& dst, int ddepth, double alpha, double beta, cudaStream_t stream = 0);
}}}
struct Stream::Impl
{
@@ -108,14 +101,14 @@ namespace
void kernelSet(GpuMat& src, const Scalar& s, cudaStream_t stream)
{
Scalar_<T> sf = s;
matrix_operations::set_to_gpu(src, sf.val, src.channels(), stream);
device::set_to_gpu(src, sf.val, src.channels(), stream);
}
template <typename T>
void kernelSetMask(GpuMat& src, const Scalar& s, const GpuMat& mask, cudaStream_t stream)
{
Scalar_<T> sf = s;
matrix_operations::set_to_gpu(src, sf.val, mask, src.channels(), stream);
device::set_to_gpu(src, sf.val, mask, src.channels(), stream);
}
}
@@ -262,7 +255,7 @@ void cv::gpu::Stream::enqueueConvert(const GpuMat& src, GpuMat& dst, int rtype,
psrc = &(temp = src);
dst.create( src.size(), rtype );
matrix_operations::convert_gpu(psrc->reshape(1), sdepth, dst.reshape(1), ddepth, alpha, beta, impl->stream);
device::convert_gpu(psrc->reshape(1), sdepth, dst.reshape(1), ddepth, alpha, beta, impl->stream);
}
cv::gpu::Stream::operator bool() const