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Commit 21c4753f authored by Vladislav Vinogradov's avatar Vladislav Vinogradov
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used global memory access for up-scaling

parent d1f6a23a
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modules/gpu/src/cuda/resize.cu
View file @ 21c4753f
......@@ -52,368 +52,431 @@
namespace cv { namespace gpu { namespace device
{
namespace imgproc
// kernels
template <typename T> __global__ void resize_nearest(const PtrStep<T> src, PtrStepSz<T> dst, const float fy, const float fx)
{
template <typename T> __global__ void resize_nearest(const PtrStep<T> src, const float fx, const float fy, PtrStepSz<T> dst)
{
const int dst_x = blockDim.x * blockIdx.x + threadIdx.x;
const int dst_y = blockDim.y * blockIdx.y + threadIdx.y;
const int dst_x = blockDim.x * blockIdx.x + threadIdx.x;
const int dst_y = blockDim.y * blockIdx.y + threadIdx.y;
if (dst_x < dst.cols && dst_y < dst.rows)
{
const float src_x = dst_x * fx;
const float src_y = dst_y * fy;
if (dst_x < dst.cols && dst_y < dst.rows)
{
const float src_x = dst_x * fx;
const float src_y = dst_y * fy;
dst(dst_y, dst_x) = src(__float2int_rz(src_y), __float2int_rz(src_x));
}
dst(dst_y, dst_x) = src(__float2int_rz(src_y), __float2int_rz(src_x));
}
}
template <typename T> __global__ void resize_linear(const PtrStepSz<T> src, const float fx, const float fy, PtrStepSz<T> dst)
{
typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type work_type;
template <typename T> __global__ void resize_linear(const PtrStepSz<T> src, PtrStepSz<T> dst, const float fy, const float fx)
{
typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type work_type;
const int dst_x = blockDim.x * blockIdx.x + threadIdx.x;
const int dst_y = blockDim.y * blockIdx.y + threadIdx.y;
const int dst_x = blockDim.x * blockIdx.x + threadIdx.x;
const int dst_y = blockDim.y * blockIdx.y + threadIdx.y;
if (dst_x < dst.cols && dst_y < dst.rows)
{
const float src_x = dst_x * fx;
const float src_y = dst_y * fy;
if (dst_x < dst.cols && dst_y < dst.rows)
{
const float src_x = dst_x * fx;
const float src_y = dst_y * fy;
work_type out = VecTraits<work_type>::all(0);
work_type out = VecTraits<work_type>::all(0);
const int x1 = __float2int_rd(src_x);
const int y1 = __float2int_rd(src_y);
const int x2 = x1 + 1;
const int y2 = y1 + 1;
const int x2_read = ::min(x2, src.cols - 1);
const int y2_read = ::min(y2, src.rows - 1);
const int x1 = __float2int_rd(src_x);
const int y1 = __float2int_rd(src_y);
const int x2 = x1 + 1;
const int y2 = y1 + 1;
const int x2_read = ::min(x2, src.cols - 1);
const int y2_read = ::min(y2, src.rows - 1);
T src_reg = src(y1, x1);
out = out + src_reg * ((x2 - src_x) * (y2 - src_y));
T src_reg = src(y1, x1);
out = out + src_reg * ((x2 - src_x) * (y2 - src_y));
src_reg = src(y1, x2_read);
out = out + src_reg * ((src_x - x1) * (y2 - src_y));
src_reg = src(y1, x2_read);
out = out + src_reg * ((src_x - x1) * (y2 - src_y));
src_reg = src(y2_read, x1);
out = out + src_reg * ((x2 - src_x) * (src_y - y1));
src_reg = src(y2_read, x1);
out = out + src_reg * ((x2 - src_x) * (src_y - y1));
src_reg = src(y2_read, x2_read);
out = out + src_reg * ((src_x - x1) * (src_y - y1));
src_reg = src(y2_read, x2_read);
out = out + src_reg * ((src_x - x1) * (src_y - y1));
dst(dst_y, dst_x) = saturate_cast<T>(out);
}
dst(dst_y, dst_x) = saturate_cast<T>(out);
}
}
template <class Ptr2D, typename T> __global__ void resize(const Ptr2D src, const float fx, const float fy, PtrStepSz<T> dst)
{
const int dst_x = blockDim.x * blockIdx.x + threadIdx.x;
const int dst_y = blockDim.y * blockIdx.y + threadIdx.y;
template <class Ptr2D, typename T> __global__ void resize(const Ptr2D src, PtrStepSz<T> dst, const float fy, const float fx)
{
const int dst_x = blockDim.x * blockIdx.x + threadIdx.x;
const int dst_y = blockDim.y * blockIdx.y + threadIdx.y;
if (dst_x < dst.cols && dst_y < dst.rows)
{
const float src_x = dst_x * fx;
const float src_y = dst_y * fy;
if (dst_x < dst.cols && dst_y < dst.rows)
{
const float src_x = dst_x * fx;
const float src_y = dst_y * fy;
dst(dst_y, dst_x) = src(src_y, src_x);
}
dst(dst_y, dst_x) = src(src_y, src_x);
}
}
template <template <typename> class Filter, typename T> struct ResizeDispatcherStream
template <typename Ptr2D, typename T> __global__ void resize_area(const Ptr2D src, PtrStepSz<T> dst)
{
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (x < dst.cols && y < dst.rows)
{
static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
dst(y, x) = src(y, x);
}
}
BrdReplicate<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
// textures
resize<<<grid, block, 0, stream>>>(filteredSrc, fx, fy, dst);
cudaSafeCall( cudaGetLastError() );
}
template <typename T> struct TextureAccessor;
#define OPENCV_GPU_IMPLEMENT_RESIZE_TEX(type) \
texture<type, cudaTextureType2D, cudaReadModeElementType> tex_resize_##type (0, cudaFilterModePoint, cudaAddressModeClamp); \
template <> struct TextureAccessor<type> \
{ \
typedef type elem_type; \
typedef int index_type; \
int xoff; \
int yoff; \
__device__ __forceinline__ elem_type operator ()(index_type y, index_type x) const \
{ \
return tex2D(tex_resize_##type, x + xoff, y + yoff); \
} \
__host__ static void bind(const PtrStepSz<type>& mat) \
{ \
bindTexture(&tex_resize_##type, mat); \
} \
};
template <typename T> struct ResizeDispatcherStream<PointFilter, T>
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar4)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort4)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short4)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float4)
#undef OPENCV_GPU_IMPLEMENT_RESIZE_TEX
template <typename T>
TextureAccessor<T> texAccessor(const PtrStepSz<T>& mat, int yoff, int xoff)
{
TextureAccessor<T>::bind(mat);
TextureAccessor<T> t;
t.xoff = xoff;
t.yoff = yoff;
return t;
}
// callers for nearest interpolation
template <typename T>
void call_resize_nearest_glob(const PtrStepSz<T>& src, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
resize_nearest<<<grid, block, 0, stream>>>(src, dst, fy, fx);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
template <typename T>
void call_resize_nearest_tex(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
resize<<<grid, block>>>(texAccessor(srcWhole, yoff, xoff), dst, fy, fx);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
// callers for linear interpolation
template <typename T>
void call_resize_linear_glob(const PtrStepSz<T>& src, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
resize_linear<<<grid, block>>>(src, dst, fy, fx);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
template <typename T>
void call_resize_linear_tex(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
if (srcWhole.data == src.data)
{
static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
TextureAccessor<T> texSrc = texAccessor(src, 0, 0);
LinearFilter< TextureAccessor<T> > filteredSrc(texSrc);
resize_nearest<<<grid, block, 0, stream>>>(src, fx, fy, dst);
cudaSafeCall( cudaGetLastError() );
}
};
template <typename T> struct ResizeDispatcherStream<LinearFilter, T>
resize<<<grid, block>>>(filteredSrc, dst, fy, fx);
}
else
{
static void call(PtrStepSz<T> src, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
TextureAccessor<T> texSrc = texAccessor(srcWhole, yoff, xoff);
resize_linear<<<grid, block, 0, stream>>>(src, fx, fy, dst);
cudaSafeCall( cudaGetLastError() );
}
};
BrdReplicate<T> brd(src.rows, src.cols);
BorderReader<TextureAccessor<T>, BrdReplicate<T> > brdSrc(texSrc, brd);
LinearFilter< BorderReader<TextureAccessor<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
template <template <typename> class Filter, typename T> struct ResizeDispatcherNonStream
{
static void call(PtrStepSz<T> src, PtrStepSz<T>, int, int, float fx, float fy, PtrStepSz<T> dst)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
resize<<<grid, block>>>(filteredSrc, dst, fy, fx);
}
BrdReplicate<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
cudaSafeCall( cudaGetLastError() );
resize<<<grid, block>>>(filteredSrc, fx, fy, dst);
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
cudaSafeCall( cudaDeviceSynchronize() );
}
};
template <typename T> struct ResizeDispatcherNonStream<PointFilter, T>
{
static void call(PtrStepSz<T> src, PtrStepSz<T>, int, int, float fx, float fy, PtrStepSz<T> dst)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
// callers for cubic interpolation
resize_nearest<<<grid, block>>>(src, fx, fy, dst);
cudaSafeCall( cudaGetLastError() );
template <typename T>
void call_resize_cubic_glob(const PtrStepSz<T>& src, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
cudaSafeCall( cudaDeviceSynchronize() );
}
};
template <typename T> struct ResizeDispatcherNonStream<LinearFilter, T>
BrdReplicate<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
CubicFilter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
resize<<<grid, block, 0, stream>>>(filteredSrc, dst, fy, fx);
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
template <typename T>
void call_resize_cubic_tex(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
if (srcWhole.data == src.data)
{
static void call(PtrStepSz<T> src, PtrStepSz<T>, int, int, float fx, float fy, PtrStepSz<T> dst)
{
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
TextureAccessor<T> texSrc = texAccessor(src, 0, 0);
CubicFilter< TextureAccessor<T> > filteredSrc(texSrc);
resize_linear<<<grid, block>>>(src, fx, fy, dst);
cudaSafeCall( cudaGetLastError() );
resize<<<grid, block>>>(filteredSrc, dst, fy, fx);
}
else
{
TextureAccessor<T> texSrc = texAccessor(srcWhole, yoff, xoff);
cudaSafeCall( cudaDeviceSynchronize() );
}
};
BrdReplicate<T> brd(src.rows, src.cols);
BorderReader<TextureAccessor<T>, BrdReplicate<T> > brdSrc(texSrc, brd);
CubicFilter< BorderReader<TextureAccessor<T>, BrdReplicate<T> > > filteredSrc(brdSrc);
#define OPENCV_GPU_IMPLEMENT_RESIZE_TEX(type) \
texture< type , cudaTextureType2D> tex_resize_ ## type (0, cudaFilterModePoint, cudaAddressModeClamp); \
struct tex_resize_ ## type ## _reader \
{ \
typedef type elem_type; \
typedef int index_type; \
int xoff; \
int yoff; \
__device__ __forceinline__ elem_type operator ()(index_type y, index_type x) const \
{ \
return tex2D(tex_resize_ ## type, x + xoff, y + yoff); \
} \
}; \
template <template <typename> class Filter> struct ResizeDispatcherNonStream<Filter, type > \
{ \
static void call(PtrStepSz< type > src, PtrStepSz< type > srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz< type > dst) \
{ \
const dim3 block(32, 8); \
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
if (srcWhole.data == src.data) \
{ \
bindTexture(&tex_resize_ ## type, src); \
tex_resize_ ## type ## _reader texSrc; \
texSrc.xoff = 0; \
texSrc.yoff = 0; \
Filter<tex_resize_ ## type ## _reader> filteredSrc(texSrc); \
resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
} \
else \
{ \
bindTexture(&tex_resize_ ## type, srcWhole); \
tex_resize_ ## type ## _reader texSrc; \
texSrc.xoff = xoff; \
texSrc.yoff = yoff; \
BrdReplicate< type > brd(src.rows, src.cols); \
BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > brdSrc(texSrc, brd); \
Filter< BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > > filteredSrc(brdSrc); \
resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
} \
cudaSafeCall( cudaGetLastError() ); \
cudaSafeCall( cudaDeviceSynchronize() ); \
} \
}; \
template <> struct ResizeDispatcherNonStream<PointFilter, type > \
{ \
static void call(PtrStepSz< type > src, PtrStepSz< type > srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz< type > dst) \
{ \
const dim3 block(32, 8); \
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
bindTexture(&tex_resize_ ## type, srcWhole); \
tex_resize_ ## type ## _reader texSrc; \
texSrc.xoff = xoff; \
texSrc.yoff = yoff; \
resize<<<grid, block>>>(texSrc, fx, fy, dst); \
cudaSafeCall( cudaGetLastError() ); \
cudaSafeCall( cudaDeviceSynchronize() ); \
} \
}; \
template <> struct ResizeDispatcherNonStream<LinearFilter, type > \
{ \
static void call(PtrStepSz< type > src, PtrStepSz< type > srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz< type > dst) \
{ \
const dim3 block(32, 8); \
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
if (srcWhole.data == src.data) \
{ \
bindTexture(&tex_resize_ ## type, src); \
tex_resize_ ## type ## _reader texSrc; \
texSrc.xoff = 0; \
texSrc.yoff = 0; \
LinearFilter<tex_resize_ ## type ## _reader> filteredSrc(texSrc); \
resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
} \
else \
{ \
bindTexture(&tex_resize_ ## type, srcWhole); \
tex_resize_ ## type ## _reader texSrc; \
texSrc.xoff = xoff; \
texSrc.yoff = yoff; \
BrdReplicate< type > brd(src.rows, src.cols); \
BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > brdSrc(texSrc, brd); \
LinearFilter< BorderReader<tex_resize_ ## type ## _reader, BrdReplicate< type > > > filteredSrc(brdSrc); \
resize<<<grid, block>>>(filteredSrc, fx, fy, dst); \
} \
cudaSafeCall( cudaGetLastError() ); \
cudaSafeCall( cudaDeviceSynchronize() ); \
} \
};
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar4)
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(schar)
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(char4)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort4)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short4)
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int)
//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int4)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float)
OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float4)
#undef OPENCV_GPU_IMPLEMENT_RESIZE_TEX
template <template <typename> class Filter, typename T> struct ResizeDispatcher
resize<<<grid, block>>>(filteredSrc, dst, fy, fx);
}
cudaSafeCall( cudaGetLastError() );
cudaSafeCall( cudaDeviceSynchronize() );
}
// ResizeNearestDispatcher
template <typename T> struct ResizeNearestDispatcher
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
call_resize_nearest_glob(src, dst, fy, fx, stream);
}
};
template <typename T> struct SelectImplForNearest
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
static void call(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
if (stream)
call_resize_nearest_glob(src, dst, fy, fx, stream);
else
{
if (stream == 0)
ResizeDispatcherNonStream<Filter, T>::call(src, srcWhole, xoff, yoff, fx, fy, dst);
if (fx > 1 || fy > 1)
call_resize_nearest_glob(src, dst, fy, fx, 0);
else
ResizeDispatcherStream<Filter, T>::call(src, fx, fy, dst, stream);
call_resize_nearest_tex(src, srcWhole, yoff, xoff, dst, fy, fx);
}
};
}
};
template <typename Ptr2D, typename T> __global__ void resize_area(const Ptr2D src, PtrStepSz<T> dst)
{
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
template <> struct ResizeNearestDispatcher<uchar> : SelectImplForNearest<uchar> {};
template <> struct ResizeNearestDispatcher<uchar4> : SelectImplForNearest<uchar4> {};
if (x < dst.cols && y < dst.rows)
{
dst(y, x) = src(y, x);
}
template <> struct ResizeNearestDispatcher<ushort> : SelectImplForNearest<ushort> {};
template <> struct ResizeNearestDispatcher<ushort4> : SelectImplForNearest<ushort4> {};
template <> struct ResizeNearestDispatcher<short> : SelectImplForNearest<short> {};
template <> struct ResizeNearestDispatcher<short4> : SelectImplForNearest<short4> {};
template <> struct ResizeNearestDispatcher<float> : SelectImplForNearest<float> {};
template <> struct ResizeNearestDispatcher<float4> : SelectImplForNearest<float4> {};
// ResizeLinearDispatcher
template <typename T> struct ResizeLinearDispatcher
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
call_resize_linear_glob(src, dst, fy, fx, stream);
}
};
template <typename T> struct ResizeAreaDispatcher
template <typename T> struct SelectImplForLinear
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
static void call(PtrStepSz<T> src, PtrStepSz<T>, int, int, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream)
if (stream)
call_resize_linear_glob(src, dst, fy, fx, stream);
else
{
const int iscale_x = (int) round(fx);
const int iscale_y = (int) round(fy);
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
if (std::abs(fx - iscale_x) < FLT_MIN && std::abs(fy - iscale_y) < FLT_MIN)
{
BrdConstant<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
IntegerAreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
resize_area<<<grid, block, 0, stream>>>(filteredSrc, dst);
}
if (fx > 1 || fy > 1)
call_resize_linear_glob(src, dst, fy, fx, 0);
else
{
BrdConstant<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
AreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
resize_area<<<grid, block, 0, stream>>>(filteredSrc, dst);
}
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
call_resize_linear_tex(src, srcWhole, yoff, xoff, dst, fy, fx);
}
};
}
};
template <> struct ResizeLinearDispatcher<uchar> : SelectImplForLinear<uchar> {};
template <> struct ResizeLinearDispatcher<uchar4> : SelectImplForLinear<uchar4> {};
template <> struct ResizeLinearDispatcher<ushort> : SelectImplForLinear<ushort> {};
template <> struct ResizeLinearDispatcher<ushort4> : SelectImplForLinear<ushort4> {};
template <typename T> void resize_gpu(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy,
PtrStepSzb dst, int interpolation, cudaStream_t stream)
template <> struct ResizeLinearDispatcher<short> : SelectImplForLinear<short> {};
template <> struct ResizeLinearDispatcher<short4> : SelectImplForLinear<short4> {};
template <> struct ResizeLinearDispatcher<float> : SelectImplForLinear<float> {};
template <> struct ResizeLinearDispatcher<float4> : SelectImplForLinear<float4> {};
// ResizeCubicDispatcher
template <typename T> struct ResizeCubicDispatcher
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
call_resize_cubic_glob(src, dst, fy, fx, stream);
}
};
template <typename T> struct SelectImplForCubic
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
if (stream)
call_resize_cubic_glob(src, dst, fy, fx, stream);
else
call_resize_cubic_tex(src, srcWhole, yoff, xoff, dst, fy, fx);
}
};
template <> struct ResizeCubicDispatcher<uchar> : SelectImplForCubic<uchar> {};
template <> struct ResizeCubicDispatcher<uchar4> : SelectImplForCubic<uchar4> {};
template <> struct ResizeCubicDispatcher<ushort> : SelectImplForCubic<ushort> {};
template <> struct ResizeCubicDispatcher<ushort4> : SelectImplForCubic<ushort4> {};
template <> struct ResizeCubicDispatcher<short> : SelectImplForCubic<short> {};
template <> struct ResizeCubicDispatcher<short4> : SelectImplForCubic<short4> {};
template <> struct ResizeCubicDispatcher<float> : SelectImplForCubic<float> {};
template <> struct ResizeCubicDispatcher<float4> : SelectImplForCubic<float4> {};
// ResizeAreaDispatcher
template <typename T> struct ResizeAreaDispatcher
{
static void call(const PtrStepSz<T>& src, const PtrStepSz<T>&, int, int, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream)
{
typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<T> srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSz<T> dst, cudaStream_t stream);
const int iscale_x = (int) round(fx);
const int iscale_y = (int) round(fy);
const dim3 block(32, 8);
const dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
static const caller_t callers[4] =
if (std::abs(fx - iscale_x) < FLT_MIN && std::abs(fy - iscale_y) < FLT_MIN)
{
ResizeDispatcher<PointFilter, T>::call,
ResizeDispatcher<LinearFilter, T>::call,
ResizeDispatcher<CubicFilter, T>::call,
ResizeAreaDispatcher<T>::call
};
// change to linear if area interpolation upscaling
if (interpolation == 3 && (fx <= 1.f || fy <= 1.f))
interpolation = 1;
callers[interpolation](static_cast< PtrStepSz<T> >(src), static_cast< PtrStepSz<T> >(srcWhole), xoff, yoff, fx, fy,
static_cast< PtrStepSz<T> >(dst), stream);
BrdConstant<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
IntegerAreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
resize_area<<<grid, block, 0, stream>>>(filteredSrc, dst);
}
else
{
BrdConstant<T> brd(src.rows, src.cols);
BorderReader< PtrStep<T>, BrdConstant<T> > brdSrc(src, brd);
AreaFilter< BorderReader< PtrStep<T>, BrdConstant<T> > > filteredSrc(brdSrc, fx, fy);
resize_area<<<grid, block, 0, stream>>>(filteredSrc, dst);
}
cudaSafeCall( cudaGetLastError() );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
};
// resize
template <typename T> void resize(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream)
{
typedef void (*func_t)(const PtrStepSz<T>& src, const PtrStepSz<T>& srcWhole, int yoff, int xoff, const PtrStepSz<T>& dst, float fy, float fx, cudaStream_t stream);
static const func_t funcs[4] =
{
ResizeNearestDispatcher<T>::call,
ResizeLinearDispatcher<T>::call,
ResizeCubicDispatcher<T>::call,
ResizeAreaDispatcher<T>::call
};
// change to linear if area interpolation upscaling
if (interpolation == 3 && (fx <= 1.f || fy <= 1.f))
interpolation = 1;
funcs[interpolation](static_cast< PtrStepSz<T> >(src), static_cast< PtrStepSz<T> >(srcWhole), yoff, xoff, static_cast< PtrStepSz<T> >(dst), fy, fx, stream);
}
template void resize<uchar >(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<uchar3>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<uchar4>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<ushort >(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<ushort3>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<ushort4>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<short >(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<short3>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<short4>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize_gpu<uchar >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<uchar2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<uchar3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<uchar4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<schar>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<char2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<char3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<char4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<ushort >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<ushort2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<ushort3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<ushort4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<short >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<short2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<short3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<short4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<int >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<int2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<int3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<int4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<float >(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
//template void resize_gpu<float2>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<float3>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
template void resize_gpu<float4>(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
} // namespace imgproc
}}} // namespace cv { namespace gpu { namespace device
template void resize<float >(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<float3>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
template void resize<float4>(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
}}}
#endif /* CUDA_DISABLER */
modules/gpu/src/resize.cpp
View file @ 21c4753f
......@@ -50,27 +50,21 @@ void cv::gpu::resize(const GpuMat&, GpuMat&, Size, double, double, int, Stream&)
namespace cv { namespace gpu { namespace device
{
namespace imgproc
{
template <typename T>
void resize_gpu(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy,
PtrStepSzb dst, int interpolation, cudaStream_t stream);
}
template <typename T>
void resize(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
}}}
void cv::gpu::resize(const GpuMat& src, GpuMat& dst, Size dsize, double fx, double fy, int interpolation, Stream& stream)
{
using namespace ::cv::gpu::device::imgproc;
typedef void (*func_t)(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, float fx, float fy, PtrStepSzb dst, int interpolation, cudaStream_t stream);
typedef void (*func_t)(const PtrStepSzb& src, const PtrStepSzb& srcWhole, int yoff, int xoff, const PtrStepSzb& dst, float fy, float fx, int interpolation, cudaStream_t stream);
static const func_t funcs[6][4] =
{
{resize_gpu<uchar> , 0 /*resize_gpu<uchar2>*/ , resize_gpu<uchar3> , resize_gpu<uchar4> },
{0 /*resize_gpu<schar>*/, 0 /*resize_gpu<char2>*/ , 0 /*resize_gpu<char3>*/, 0 /*resize_gpu<char4>*/},
{resize_gpu<ushort> , 0 /*resize_gpu<ushort2>*/, resize_gpu<ushort3> , resize_gpu<ushort4> },
{resize_gpu<short> , 0 /*resize_gpu<short2>*/ , resize_gpu<short3> , resize_gpu<short4> },
{0 /*resize_gpu<int>*/ , 0 /*resize_gpu<int2>*/ , 0 /*resize_gpu<int3>*/ , 0 /*resize_gpu<int4>*/ },
{resize_gpu<float> , 0 /*resize_gpu<float2>*/ , resize_gpu<float3> , resize_gpu<float4> }
{device::resize<uchar> , 0 /*device::resize<uchar2>*/ , device::resize<uchar3> , device::resize<uchar4> },
{0 /*device::resize<schar>*/, 0 /*device::resize<char2>*/ , 0 /*device::resize<char3>*/, 0 /*device::resize<char4>*/},
{device::resize<ushort> , 0 /*device::resize<ushort2>*/, device::resize<ushort3> , device::resize<ushort4> },
{device::resize<short> , 0 /*device::resize<short2>*/ , device::resize<short3> , device::resize<short4> },
{0 /*device::resize<int>*/ , 0 /*device::resize<int2>*/ , 0 /*device::resize<int3>*/ , 0 /*device::resize<int4>*/ },
{device::resize<float> , 0 /*device::resize<float2>*/ , device::resize<float3> , device::resize<float4> }
};
CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
......@@ -108,7 +102,7 @@ void cv::gpu::resize(const GpuMat& src, GpuMat& dst, Size dsize, double fx, doub
src.locateROI(wholeSize, ofs);
PtrStepSzb wholeSrc(wholeSize.height, wholeSize.width, src.datastart, src.step);
func(src, wholeSrc, ofs.x, ofs.y, static_cast<float>(1.0 / fx), static_cast<float>(1.0 / fy), dst, interpolation, StreamAccessor::getStream(stream));
func(src, wholeSrc, ofs.y, ofs.x, dst, static_cast<float>(1.0 / fy), static_cast<float>(1.0 / fx), interpolation, StreamAccessor::getStream(stream));
}
#endif // HAVE_CUDA
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