Open Source Computer Vision Library
https://opencv.org/
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264 lines
13 KiB
264 lines
13 KiB
/*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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using namespace cv::gpu; |
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using namespace cv::gpu::device; |
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namespace cv { namespace gpu { 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(const DevMem2D_<T>& src, float fx, float fy, const 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(const DevMem2D_<T>& src, float fx, float fy, const 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(const DevMem2D_<T>& src, float fx, float fy, const 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(const DevMem2D_<T>& src, float fx, float fy, const 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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__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, y); \ |
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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(const DevMem2D_< type >& src, float fx, float fy, const 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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TextureBinder texHandler(&tex_resize_ ## type , src); \ |
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tex_resize_ ## type ##_reader texSrc; \ |
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Filter< tex_resize_ ## type ##_reader > filter_src(texSrc); \ |
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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(const DevMem2D_< type >& src, float fx, float fy, const 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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TextureBinder texHandler(&tex_resize_ ## type , src); \ |
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tex_resize_ ## type ##_reader texSrc; \ |
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resizeNN<<<grid, block>>>(texSrc, 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(const DevMem2D_<T>& src, float fx, float fy, const 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, 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(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream) |
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{ |
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typedef void (*caller_t)(const DevMem2D_<T>& src, float fx, float fy, const 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), fx, fy, static_cast< DevMem2D_<T> >(dst), stream); |
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} |
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template void resize_gpu<uchar >(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<uchar2>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<uchar3>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<uchar4>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<schar>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<char2>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<char3>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<char4>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<ushort >(const DevMem2D& src,float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<ushort2>(const DevMem2D& src,float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<ushort3>(const DevMem2D& src,float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<ushort4>(const DevMem2D& src,float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<short >(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<short2>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<short3>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<short4>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<int >(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<int2>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<int3>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<int4>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<float >(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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//template void resize_gpu<float2>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<float3>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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template void resize_gpu<float4>(const DevMem2D& src, float fx, float fy, const DevMem2D& dst, int interpolation, cudaStream_t stream); |
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}}}
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