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272 lines
16 KiB
Plaintext
272 lines
16 KiB
Plaintext
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "internal_shared.hpp"
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#include "opencv2/gpu/device/border_interpolate.hpp"
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#include "opencv2/gpu/device/vec_traits.hpp"
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#include "opencv2/gpu/device/vec_math.hpp"
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#include "opencv2/gpu/device/saturate_cast.hpp"
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#include "opencv2/gpu/device/filters.hpp"
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namespace cv { namespace gpu { namespace device
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{
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namespace imgproc
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{
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template <typename Ptr2D, typename T> __global__ void resize(const Ptr2D src, float fx, float fy, DevMem2D_<T> dst)
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{
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const int x = blockDim.x * blockIdx.x + threadIdx.x;
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const int y = blockDim.y * blockIdx.y + threadIdx.y;
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if (x < dst.cols && y < dst.rows)
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{
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const float xcoo = x / fx;
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const float ycoo = y / fy;
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dst.ptr(y)[x] = saturate_cast<T>(src(ycoo, xcoo));
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}
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}
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template <typename Ptr2D, typename T> __global__ void resizeNN(const Ptr2D src, float fx, float fy, DevMem2D_<T> dst)
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{
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const int x = blockDim.x * blockIdx.x + threadIdx.x;
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const int y = blockDim.y * blockIdx.y + threadIdx.y;
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if (x < dst.cols && y < dst.rows)
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{
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const float xcoo = x / fx;
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const float ycoo = y / fy;
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dst.ptr(y)[x] = src(__float2int_rd(ycoo), __float2int_rd(xcoo));
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}
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}
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template <template <typename> class Filter, typename T> struct ResizeDispatcherStream
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{
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static void call(DevMem2D_<T> src, float fx, float fy, DevMem2D_<T> dst, cudaStream_t stream)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdReplicate<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
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Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filter_src(brdSrc);
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resize<<<grid, block, 0, stream>>>(filter_src, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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}
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};
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template <typename T> struct ResizeDispatcherStream<PointFilter, T>
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{
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static void call(DevMem2D_<T> src, float fx, float fy, DevMem2D_<T> dst, cudaStream_t stream)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdReplicate<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
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resizeNN<<<grid, block, 0, stream>>>(brdSrc, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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}
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};
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template <template <typename> class Filter, typename T> struct ResizeDispatcherNonStream
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{
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static void call(DevMem2D_<T> src, DevMem2D_<T> srcWhole, int xoff, int yoff, float fx, float fy, DevMem2D_<T> dst)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdReplicate<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
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Filter< BorderReader< PtrStep<T>, BrdReplicate<T> > > filter_src(brdSrc);
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resize<<<grid, block>>>(filter_src, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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};
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template <typename T> struct ResizeDispatcherNonStream<PointFilter, T>
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{
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static void call(DevMem2D_<T> src, DevMem2D_<T> srcWhole, int xoff, int yoff, float fx, float fy, DevMem2D_<T> dst)
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{
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dim3 block(32, 8);
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y));
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BrdReplicate<T> brd(src.rows, src.cols);
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BorderReader< PtrStep<T>, BrdReplicate<T> > brdSrc(src, brd);
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resizeNN<<<grid, block>>>(brdSrc, fx, fy, dst);
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cudaSafeCall( cudaGetLastError() );
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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};
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#define OPENCV_GPU_IMPLEMENT_RESIZE_TEX(type) \
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texture< type , cudaTextureType2D> tex_resize_ ## type (0, cudaFilterModePoint, cudaAddressModeClamp); \
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struct tex_resize_ ## type ## _reader \
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{ \
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typedef type elem_type; \
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typedef int index_type; \
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int xoff, yoff; \
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tex_resize_ ## type ## _reader (int xoff_, int yoff_) : xoff(xoff_), yoff(yoff_) {} \
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__device__ __forceinline__ elem_type operator ()(index_type y, index_type x) const \
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{ \
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return tex2D(tex_resize_ ## type , x + xoff, y + yoff); \
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} \
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}; \
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template <template <typename> class Filter> struct ResizeDispatcherNonStream<Filter, type> \
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{ \
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static void call(DevMem2D_< type > src, DevMem2D_< type > srcWhole, int xoff, int yoff, float fx, float fy, DevMem2D_< type > dst) \
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{ \
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dim3 block(32, 8); \
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
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bindTexture(&tex_resize_ ## type , srcWhole); \
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tex_resize_ ## type ##_reader texSrc(xoff, yoff); \
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BrdReplicate< type > brd(src.rows, src.cols); \
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BorderReader< tex_resize_ ## type ##_reader , BrdReplicate< type > > brdSrc(texSrc, brd); \
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Filter< BorderReader< tex_resize_ ## type ##_reader , BrdReplicate< type > > > filter_src(brdSrc); \
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resize<<<grid, block>>>(filter_src, fx, fy, dst); \
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cudaSafeCall( cudaGetLastError() ); \
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cudaSafeCall( cudaDeviceSynchronize() ); \
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} \
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}; \
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template <> struct ResizeDispatcherNonStream<PointFilter, type> \
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{ \
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static void call(DevMem2D_< type > src, DevMem2D_< type > srcWhole, int xoff, int yoff, float fx, float fy, DevMem2D_< type > dst) \
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{ \
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dim3 block(32, 8); \
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dim3 grid(divUp(dst.cols, block.x), divUp(dst.rows, block.y)); \
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bindTexture(&tex_resize_ ## type , srcWhole); \
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tex_resize_ ## type ##_reader texSrc(xoff, yoff); \
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BrdReplicate< type > brd(src.rows, src.cols); \
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BorderReader< tex_resize_ ## type ##_reader , BrdReplicate< type > > brdSrc(texSrc, brd); \
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resizeNN<<<grid, block>>>(brdSrc, fx, fy, dst); \
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cudaSafeCall( cudaGetLastError() ); \
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cudaSafeCall( cudaDeviceSynchronize() ); \
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} \
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};
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar2)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(uchar4)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(schar)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(char2)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(char4)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort2)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(ushort4)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short2)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(short4)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int2)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(int4)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float)
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//OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float2)
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OPENCV_GPU_IMPLEMENT_RESIZE_TEX(float4)
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#undef OPENCV_GPU_IMPLEMENT_RESIZE_TEX
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template <template <typename> class Filter, typename T> struct ResizeDispatcher
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{
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static void call(DevMem2D_<T> src, DevMem2D_<T> srcWhole, int xoff, int yoff, float fx, float fy, DevMem2D_<T> dst, cudaStream_t stream)
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{
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if (stream == 0)
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ResizeDispatcherNonStream<Filter, T>::call(src, srcWhole, xoff, yoff, fx, fy, dst);
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else
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ResizeDispatcherStream<Filter, T>::call(src, fx, fy, dst, stream);
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}
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};
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template <typename T> void resize_gpu(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy,
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DevMem2Db dst, int interpolation, cudaStream_t stream)
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{
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typedef void (*caller_t)(DevMem2D_<T> src, DevMem2D_<T> srcWhole, int xoff, int yoff, float fx, float fy, DevMem2D_<T> dst, cudaStream_t stream);
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static const caller_t callers[3] =
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{
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ResizeDispatcher<PointFilter, T>::call, ResizeDispatcher<LinearFilter, T>::call, ResizeDispatcher<CubicFilter, T>::call
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};
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callers[interpolation](static_cast< DevMem2D_<T> >(src), static_cast< DevMem2D_<T> >(srcWhole), xoff, yoff, fx, fy,
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static_cast< DevMem2D_<T> >(dst), stream);
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}
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template void resize_gpu<uchar >(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<uchar2>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<uchar3>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<uchar4>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<schar>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<char2>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<char3>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<char4>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<ushort >(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<ushort2>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<ushort3>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<ushort4>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<short >(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<short2>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<short3>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<short4>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int >(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int2>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int3>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<int4>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<float >(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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//template void resize_gpu<float2>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<float3>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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template void resize_gpu<float4>(DevMem2Db src, DevMem2Db srcWhole, int xoff, int yoff, float fx, float fy, DevMem2Db dst, int interpolation, cudaStream_t stream);
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} // namespace imgproc
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}}} // namespace cv { namespace gpu { namespace device
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