188 lines
8.8 KiB
Plaintext
188 lines
8.8 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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BEGIN_OPENCV_DEVICE_NAMESPACE
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namespace pyr_down {
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template <typename T, typename B> __global__ void pyrDown(const PtrStep<T> src, PtrStep<T> dst, const B b, int dst_cols)
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{
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typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type value_type;
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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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__shared__ value_type smem[256 + 4];
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value_type sum;
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const int src_y = 2*y;
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sum = VecTraits<value_type>::all(0);
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sum = sum + 0.0625f * b.at(src_y - 2, x, src.data, src.step);
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sum = sum + 0.25f * b.at(src_y - 1, x, src.data, src.step);
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sum = sum + 0.375f * b.at(src_y , x, src.data, src.step);
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sum = sum + 0.25f * b.at(src_y + 1, x, src.data, src.step);
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sum = sum + 0.0625f * b.at(src_y + 2, x, src.data, src.step);
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smem[2 + threadIdx.x] = sum;
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if (threadIdx.x < 2)
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{
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const int left_x = x - 2 + threadIdx.x;
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sum = VecTraits<value_type>::all(0);
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sum = sum + 0.0625f * b.at(src_y - 2, left_x, src.data, src.step);
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sum = sum + 0.25f * b.at(src_y - 1, left_x, src.data, src.step);
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sum = sum + 0.375f * b.at(src_y , left_x, src.data, src.step);
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sum = sum + 0.25f * b.at(src_y + 1, left_x, src.data, src.step);
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sum = sum + 0.0625f * b.at(src_y + 2, left_x, src.data, src.step);
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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 + threadIdx.x + 2;
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sum = VecTraits<value_type>::all(0);
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sum = sum + 0.0625f * b.at(src_y - 2, right_x, src.data, src.step);
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sum = sum + 0.25f * b.at(src_y - 1, right_x, src.data, src.step);
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sum = sum + 0.375f * b.at(src_y , right_x, src.data, src.step);
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sum = sum + 0.25f * b.at(src_y + 1, right_x, src.data, src.step);
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sum = sum + 0.0625f * b.at(src_y + 2, right_x, src.data, src.step);
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smem[4 + threadIdx.x] = sum;
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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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sum = VecTraits<value_type>::all(0);
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sum = 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.ptr(y)[dst_x] = saturate_cast<T>(sum);
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}
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}
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template <typename T, template <typename> class B> void pyrDown_caller(const DevMem2D_<T>& src, const DevMem2D_<T>& dst, 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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B<T> b(src.rows, src.cols);
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pyrDown<T><<<grid, block, 0, stream>>>(src, dst, b, dst.cols);
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cudaSafeCall( cudaGetLastError() );
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if (stream == 0)
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cudaSafeCall( cudaDeviceSynchronize() );
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}
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template <typename T, int cn> void pyrDown_gpu(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream)
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{
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typedef typename TypeVec<T, cn>::vec_type type;
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typedef void (*caller_t)(const DevMem2D_<type>& src, const DevMem2D_<type>& dst, cudaStream_t stream);
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static const caller_t callers[] =
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{
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pyrDown_caller<type, BrdReflect101>, pyrDown_caller<type, BrdReplicate>, pyrDown_caller<type, BrdConstant>, pyrDown_caller<type, BrdReflect>, pyrDown_caller<type, BrdWrap>
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};
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callers[borderType](static_cast< DevMem2D_<type> >(src), static_cast< DevMem2D_<type> >(dst), stream);
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}
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template void pyrDown_gpu<uchar, 1>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<uchar, 2>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<uchar, 3>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<uchar, 4>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<schar, 1>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<schar, 2>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<schar, 3>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<schar, 4>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<ushort, 1>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<ushort, 2>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<ushort, 3>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<ushort, 4>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<short, 1>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<short, 2>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<short, 3>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<short, 4>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<int, 1>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<int, 2>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<int, 3>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<int, 4>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<float, 1>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<float, 2>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<float, 3>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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template void pyrDown_gpu<float, 4>(const DevMem2Db& src, const DevMem2Db& dst, int borderType, cudaStream_t stream);
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} // namespace pyr_down
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END_OPENCV_DEVICE_NAMESPACE
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