133 lines
5.3 KiB
C++
133 lines
5.3 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_COPY_DETAIL_HPP
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#define OPENCV_CUDEV_GRID_COPY_DETAIL_HPP
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#include "../../common.hpp"
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#include "../../util/tuple.hpp"
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#include "../../util/saturate_cast.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 grid_copy_detail
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{
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template <class SrcPtr, typename DstType, class MaskPtr>
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__global__ void copy(const SrcPtr src, GlobPtr<DstType> dst, const MaskPtr mask, const int rows, const int cols)
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{
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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dst(y, x) = saturate_cast<DstType>(src(y, x));
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}
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template <class Policy, class SrcPtr, typename DstType, class MaskPtr>
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__host__ void copy(const SrcPtr& src, const GlobPtr<DstType>& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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copy<<<grid, block, 0, stream>>>(src, dst, mask, rows, 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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template <int count> struct Unroll
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{
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template <class SrcPtrTuple, class DstPtrTuple>
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__device__ static void copy(const SrcPtrTuple& src, DstPtrTuple& dst, const int y, const int x)
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{
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typedef typename tuple_element<count - 1, DstPtrTuple>::type dst_ptr_type;
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typedef typename PtrTraits<dst_ptr_type>::value_type dst_type;
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get<count - 1>(dst)(y, x) = saturate_cast<dst_type>(get<count - 1>(src)(y, x));
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Unroll<count - 1>::copy(src, dst, y, x);
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}
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};
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template <> struct Unroll<0>
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{
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template <class SrcPtrTuple, class DstPtrTuple>
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__device__ __forceinline__ static void copy(const SrcPtrTuple&, DstPtrTuple&, const int, const int)
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{
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}
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};
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template <class SrcPtrTuple, class DstPtrTuple, class MaskPtr>
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__global__ void copy_tuple(const SrcPtrTuple src, DstPtrTuple dst, const MaskPtr mask, const int rows, const int cols)
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{
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const int x = blockIdx.x * blockDim.x + threadIdx.x;
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const int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (x >= cols || y >= rows || !mask(y, x))
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return;
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Unroll<tuple_size<SrcPtrTuple>::value>::copy(src, dst, y, x);
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}
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template <class Policy, class SrcPtrTuple, class DstPtrTuple, class MaskPtr>
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__host__ void copy_tuple(const SrcPtrTuple& src, const DstPtrTuple& dst, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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const dim3 block(Policy::block_size_x, Policy::block_size_y);
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const dim3 grid(divUp(cols, block.x), divUp(rows, block.y));
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copy_tuple<<<grid, block, 0, stream>>>(src, dst, mask, rows, 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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