202 lines
8.0 KiB
C++
202 lines
8.0 KiB
C++
/*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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// Copyright (C) 2013, OpenCV Foundation, 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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#pragma once
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#ifndef OPENCV_CUDEV_GRID_PYR_DOWN_DETAIL_HPP
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#define OPENCV_CUDEV_GRID_PYR_DOWN_DETAIL_HPP
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#include "../../common.hpp"
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#include "../../util/vec_traits.hpp"
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#include "../../util/saturate_cast.hpp"
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#include "../../util/type_traits.hpp"
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#include "../../ptr2d/glob.hpp"
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#include "../../ptr2d/traits.hpp"
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namespace cv { namespace cudev {
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namespace pyramids_detail
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{
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template <class Brd, class SrcPtr, typename DstType>
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__global__ void pyrDown(const SrcPtr src, GlobPtr<DstType> dst, const int src_rows, const int src_cols, const int dst_cols)
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{
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typedef typename PtrTraits<SrcPtr>::value_type src_type;
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typedef typename VecTraits<src_type>::elem_type src_elem_type;
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typedef typename LargerType<float, src_elem_type>::type work_elem_type;
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typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type;
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__shared__ work_type smem[256 + 4];
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y;
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const int src_y = 2 * y;
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if (src_y >= 2 && src_y < src_rows - 2 && x >= 2 && x < src_cols - 2)
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{
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{
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work_type sum;
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sum = 0.0625f * src(src_y - 2, x);
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sum = sum + 0.25f * src(src_y - 1, x);
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sum = sum + 0.375f * src(src_y , x);
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sum = sum + 0.25f * src(src_y + 1, x);
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sum = sum + 0.0625f * src(src_y + 2, x);
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smem[2 + threadIdx.x] = sum;
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}
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if (threadIdx.x < 2)
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{
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const int left_x = x - 2;
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work_type sum;
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sum = 0.0625f * src(src_y - 2, left_x);
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sum = sum + 0.25f * src(src_y - 1, left_x);
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sum = sum + 0.375f * src(src_y , left_x);
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sum = sum + 0.25f * src(src_y + 1, left_x);
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sum = sum + 0.0625f * src(src_y + 2, left_x);
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smem[threadIdx.x] = sum;
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}
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if (threadIdx.x > 253)
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{
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const int right_x = x + 2;
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work_type sum;
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sum = 0.0625f * src(src_y - 2, right_x);
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sum = sum + 0.25f * src(src_y - 1, right_x);
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sum = sum + 0.375f * src(src_y , right_x);
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sum = sum + 0.25f * src(src_y + 1, right_x);
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sum = sum + 0.0625f * src(src_y + 2, right_x);
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smem[4 + threadIdx.x] = sum;
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}
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}
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else
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{
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{
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work_type sum;
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sum = 0.0625f * src(Brd::idx_low(src_y - 2, src_rows) , Brd::idx_high(x, src_cols));
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sum = sum + 0.25f * src(Brd::idx_low(src_y - 1, src_rows) , Brd::idx_high(x, src_cols));
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sum = sum + 0.375f * src(src_y , Brd::idx_high(x, src_cols));
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sum = sum + 0.25f * src(Brd::idx_high(src_y + 1, src_rows), Brd::idx_high(x, src_cols));
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sum = sum + 0.0625f * src(Brd::idx_high(src_y + 2, src_rows), Brd::idx_high(x, src_cols));
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smem[2 + threadIdx.x] = sum;
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}
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if (threadIdx.x < 2)
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{
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const int left_x = x - 2;
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work_type sum;
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sum = 0.0625f * src(Brd::idx_low(src_y - 2, src_rows) , Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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sum = sum + 0.25f * src(Brd::idx_low(src_y - 1, src_rows) , Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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sum = sum + 0.375f * src(src_y , Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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sum = sum + 0.25f * src(Brd::idx_high(src_y + 1, src_rows), Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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sum = sum + 0.0625f * src(Brd::idx_high(src_y + 2, src_rows), Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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smem[threadIdx.x] = sum;
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}
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if (threadIdx.x > 253)
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{
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const int right_x = x + 2;
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work_type sum;
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sum = 0.0625f * src(Brd::idx_low(src_y - 2, src_rows) , Brd::idx_high(right_x, src_cols));
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sum = sum + 0.25f * src(Brd::idx_low(src_y - 1, src_rows) , Brd::idx_high(right_x, src_cols));
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sum = sum + 0.375f * src(src_y , Brd::idx_high(right_x, src_cols));
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sum = sum + 0.25f * src(Brd::idx_high(src_y + 1, src_rows), Brd::idx_high(right_x, src_cols));
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sum = sum + 0.0625f * src(Brd::idx_high(src_y + 2, src_rows), Brd::idx_high(right_x, src_cols));
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smem[4 + threadIdx.x] = sum;
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}
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}
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__syncthreads();
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if (threadIdx.x < 128)
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{
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const int tid2 = threadIdx.x * 2;
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work_type sum;
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sum = 0.0625f * smem[2 + tid2 - 2];
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sum = sum + 0.25f * smem[2 + tid2 - 1];
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sum = sum + 0.375f * smem[2 + tid2 ];
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sum = sum + 0.25f * smem[2 + tid2 + 1];
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sum = sum + 0.0625f * smem[2 + tid2 + 2];
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const int dst_x = (blockIdx.x * blockDim.x + tid2) / 2;
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if (dst_x < dst_cols)
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dst(y, dst_x) = saturate_cast<DstType>(sum);
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}
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}
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template <class Brd, class SrcPtr, typename DstType>
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__host__ void pyrDown(const SrcPtr& src, const GlobPtr<DstType>& dst, int src_rows, int src_cols, int dst_rows, int dst_cols, cudaStream_t stream)
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{
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const dim3 block(256);
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const dim3 grid(divUp(src_cols, block.x), dst_rows);
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pyrDown<Brd><<<grid, block, 0, stream>>>(src, dst, src_rows, src_cols, dst_cols);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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if (stream == 0)
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CV_CUDEV_SAFE_CALL( cudaDeviceSynchronize() );
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}
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}
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}}
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#endif
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