/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #pragma once #ifndef __OPENCV_CUDEV_GRID_PYR_UP_DETAIL_HPP__ #define __OPENCV_CUDEV_GRID_PYR_UP_DETAIL_HPP__ #include "../../common.hpp" #include "../../util/vec_traits.hpp" #include "../../util/saturate_cast.hpp" #include "../../util/type_traits.hpp" #include "../../ptr2d/glob.hpp" #include "../../ptr2d/traits.hpp" namespace cv { namespace cudev { namespace pyramids_detail { template __global__ void pyrUp(const SrcPtr src, GlobPtr dst, const int src_rows, const int src_cols, const int dst_rows, const int dst_cols) { typedef typename PtrTraits::value_type src_type; typedef typename VecTraits::elem_type src_elem_type; typedef typename LargerType::type work_elem_type; typedef typename MakeVec::cn>::type work_type; const int x = blockIdx.x * blockDim.x + threadIdx.x; const int y = blockIdx.y * blockDim.y + threadIdx.y; __shared__ work_type s_srcPatch[10][10]; __shared__ work_type s_dstPatch[20][16]; if (threadIdx.x < 10 && threadIdx.y < 10) { int srcx = static_cast((blockIdx.x * blockDim.x) / 2 + threadIdx.x) - 1; int srcy = static_cast((blockIdx.y * blockDim.y) / 2 + threadIdx.y) - 1; srcx = ::abs(srcx); srcx = ::min(src_cols - 1, srcx); srcy = ::abs(srcy); srcy = ::min(src_rows - 1, srcy); s_srcPatch[threadIdx.y][threadIdx.x] = saturate_cast(src(srcy, srcx)); } __syncthreads(); work_type sum = VecTraits::all(0); const int evenFlag = static_cast((threadIdx.x & 1) == 0); const int oddFlag = static_cast((threadIdx.x & 1) != 0); const bool eveny = ((threadIdx.y & 1) == 0); const int tidx = threadIdx.x; if (eveny) { sum = sum + (evenFlag * 0.0625f) * s_srcPatch[1 + (threadIdx.y >> 1)][1 + ((tidx - 2) >> 1)]; sum = sum + ( oddFlag * 0.25f ) * s_srcPatch[1 + (threadIdx.y >> 1)][1 + ((tidx - 1) >> 1)]; sum = sum + (evenFlag * 0.375f ) * s_srcPatch[1 + (threadIdx.y >> 1)][1 + ((tidx ) >> 1)]; sum = sum + ( oddFlag * 0.25f ) * s_srcPatch[1 + (threadIdx.y >> 1)][1 + ((tidx + 1) >> 1)]; sum = sum + (evenFlag * 0.0625f) * s_srcPatch[1 + (threadIdx.y >> 1)][1 + ((tidx + 2) >> 1)]; } s_dstPatch[2 + threadIdx.y][threadIdx.x] = sum; if (threadIdx.y < 2) { sum = VecTraits::all(0); if (eveny) { sum = sum + (evenFlag * 0.0625f) * s_srcPatch[0][1 + ((tidx - 2) >> 1)]; sum = sum + ( oddFlag * 0.25f ) * s_srcPatch[0][1 + ((tidx - 1) >> 1)]; sum = sum + (evenFlag * 0.375f ) * s_srcPatch[0][1 + ((tidx ) >> 1)]; sum = sum + ( oddFlag * 0.25f ) * s_srcPatch[0][1 + ((tidx + 1) >> 1)]; sum = sum + (evenFlag * 0.0625f) * s_srcPatch[0][1 + ((tidx + 2) >> 1)]; } s_dstPatch[threadIdx.y][threadIdx.x] = sum; } if (threadIdx.y > 13) { sum = VecTraits::all(0); if (eveny) { sum = sum + (evenFlag * 0.0625f) * s_srcPatch[9][1 + ((tidx - 2) >> 1)]; sum = sum + ( oddFlag * 0.25f ) * s_srcPatch[9][1 + ((tidx - 1) >> 1)]; sum = sum + (evenFlag * 0.375f ) * s_srcPatch[9][1 + ((tidx ) >> 1)]; sum = sum + ( oddFlag * 0.25f ) * s_srcPatch[9][1 + ((tidx + 1) >> 1)]; sum = sum + (evenFlag * 0.0625f) * s_srcPatch[9][1 + ((tidx + 2) >> 1)]; } s_dstPatch[4 + threadIdx.y][threadIdx.x] = sum; } __syncthreads(); sum = VecTraits::all(0); const int tidy = threadIdx.y; sum = sum + 0.0625f * s_dstPatch[2 + tidy - 2][threadIdx.x]; sum = sum + 0.25f * s_dstPatch[2 + tidy - 1][threadIdx.x]; sum = sum + 0.375f * s_dstPatch[2 + tidy ][threadIdx.x]; sum = sum + 0.25f * s_dstPatch[2 + tidy + 1][threadIdx.x]; sum = sum + 0.0625f * s_dstPatch[2 + tidy + 2][threadIdx.x]; if (x < dst_cols && y < dst_rows) dst(y, x) = saturate_cast(4.0f * sum); } template __host__ void pyrUp(const SrcPtr& src, const GlobPtr& dst, int src_rows, int src_cols, int dst_rows, int dst_cols, cudaStream_t stream) { const dim3 block(16, 16); const dim3 grid(divUp(dst_cols, block.x), divUp(dst_rows, block.y)); pyrUp<<>>(src, dst, src_rows, src_cols, dst_rows, dst_cols); CV_CUDEV_SAFE_CALL( cudaGetLastError() ); if (stream == 0) CV_CUDEV_SAFE_CALL( cudaDeviceSynchronize() ); } } }} #endif