This source file includes following definitions.
- pyrDown
- pyrDown
#pragma once
#ifndef __OPENCV_CUDEV_GRID_PYR_DOWN_DETAIL_HPP__
#define __OPENCV_CUDEV_GRID_PYR_DOWN_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 <class Brd, class SrcPtr, typename DstType>
__global__ void pyrDown(const SrcPtr src, GlobPtr<DstType> dst, const int src_rows, const int src_cols, const int dst_cols)
{
typedef typename PtrTraits<SrcPtr>::value_type src_type;
typedef typename VecTraits<src_type>::elem_type src_elem_type;
typedef typename LargerType<float, src_elem_type>::type work_elem_type;
typedef typename MakeVec<work_elem_type, VecTraits<src_type>::cn>::type work_type;
__shared__ work_type smem[256 + 4];
const int x = blockIdx.x * blockDim.x + threadIdx.x;
const int y = blockIdx.y;
const int src_y = 2 * y;
if (src_y >= 2 && src_y < src_rows - 2 && x >= 2 && x < src_cols - 2)
{
{
work_type sum;
sum = 0.0625f * src(src_y - 2, x);
sum = sum + 0.25f * src(src_y - 1, x);
sum = sum + 0.375f * src(src_y , x);
sum = sum + 0.25f * src(src_y + 1, x);
sum = sum + 0.0625f * src(src_y + 2, x);
smem[2 + threadIdx.x] = sum;
}
if (threadIdx.x < 2)
{
const int left_x = x - 2;
work_type sum;
sum = 0.0625f * src(src_y - 2, left_x);
sum = sum + 0.25f * src(src_y - 1, left_x);
sum = sum + 0.375f * src(src_y , left_x);
sum = sum + 0.25f * src(src_y + 1, left_x);
sum = sum + 0.0625f * src(src_y + 2, left_x);
smem[threadIdx.x] = sum;
}
if (threadIdx.x > 253)
{
const int right_x = x + 2;
work_type sum;
sum = 0.0625f * src(src_y - 2, right_x);
sum = sum + 0.25f * src(src_y - 1, right_x);
sum = sum + 0.375f * src(src_y , right_x);
sum = sum + 0.25f * src(src_y + 1, right_x);
sum = sum + 0.0625f * src(src_y + 2, right_x);
smem[4 + threadIdx.x] = sum;
}
}
else
{
{
work_type sum;
sum = 0.0625f * src(Brd::idx_low(src_y - 2, src_rows) , Brd::idx_high(x, src_cols));
sum = sum + 0.25f * src(Brd::idx_low(src_y - 1, src_rows) , Brd::idx_high(x, src_cols));
sum = sum + 0.375f * src(src_y , Brd::idx_high(x, src_cols));
sum = sum + 0.25f * src(Brd::idx_high(src_y + 1, src_rows), Brd::idx_high(x, src_cols));
sum = sum + 0.0625f * src(Brd::idx_high(src_y + 2, src_rows), Brd::idx_high(x, src_cols));
smem[2 + threadIdx.x] = sum;
}
if (threadIdx.x < 2)
{
const int left_x = x - 2;
work_type sum;
sum = 0.0625f * src(Brd::idx_low(src_y - 2, src_rows) , Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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));
sum = sum + 0.375f * src(src_y , Brd::idx_low(Brd::idx_high(left_x, src_cols), src_cols));
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));
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));
smem[threadIdx.x] = sum;
}
if (threadIdx.x > 253)
{
const int right_x = x + 2;
work_type sum;
sum = 0.0625f * src(Brd::idx_low(src_y - 2, src_rows) , Brd::idx_high(right_x, src_cols));
sum = sum + 0.25f * src(Brd::idx_low(src_y - 1, src_rows) , Brd::idx_high(right_x, src_cols));
sum = sum + 0.375f * src(src_y , Brd::idx_high(right_x, src_cols));
sum = sum + 0.25f * src(Brd::idx_high(src_y + 1, src_rows), Brd::idx_high(right_x, src_cols));
sum = sum + 0.0625f * src(Brd::idx_high(src_y + 2, src_rows), Brd::idx_high(right_x, src_cols));
smem[4 + threadIdx.x] = sum;
}
}
__syncthreads();
if (threadIdx.x < 128)
{
const int tid2 = threadIdx.x * 2;
work_type sum;
sum = 0.0625f * smem[2 + tid2 - 2];
sum = sum + 0.25f * smem[2 + tid2 - 1];
sum = sum + 0.375f * smem[2 + tid2 ];
sum = sum + 0.25f * smem[2 + tid2 + 1];
sum = sum + 0.0625f * smem[2 + tid2 + 2];
const int dst_x = (blockIdx.x * blockDim.x + tid2) / 2;
if (dst_x < dst_cols)
dst(y, dst_x) = saturate_cast<DstType>(sum);
}
}
template <class Brd, class SrcPtr, typename DstType>
__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)
{
const dim3 block(256);
const dim3 grid(divUp(src_cols, block.x), dst_rows);
pyrDown<Brd><<<grid, block, 0, stream>>>(src, dst, src_rows, src_cols, dst_cols);
CV_CUDEV_SAFE_CALL( cudaGetLastError() );
if (stream == 0)
CV_CUDEV_SAFE_CALL( cudaDeviceSynchronize() );
}
}
}}
#endif