added gridMinMaxLoc function
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Vladislav Vinogradov
parent
3fb9c52272
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e1aa2fd06c
177
modules/cudev/include/opencv2/cudev/grid/detail/minmaxloc.hpp
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177
modules/cudev/include/opencv2/cudev/grid/detail/minmaxloc.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//M*/
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#pragma once
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#ifndef __OPENCV_CUDEV_GRID_MINMAXLOC_DETAIL_HPP__
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#define __OPENCV_CUDEV_GRID_MINMAXLOC_DETAIL_HPP__
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#include "../../common.hpp"
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#include "../../util/vec_traits.hpp"
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#include "../../util/type_traits.hpp"
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#include "../../util/limits.hpp"
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#include "../../block/reduce.hpp"
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namespace cv { namespace cudev {
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namespace grid_minmaxloc_detail
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{
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template <int BLOCK_SIZE, class SrcPtr, typename ResType, class MaskPtr>
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__global__ void minMaxLoc_pass_1(const SrcPtr src, ResType* minVal, ResType* maxVal, int* minLoc, int* maxLoc, const MaskPtr mask, const int rows, const int cols, const int patch_y, const int patch_x)
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{
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__shared__ ResType sMinVal[BLOCK_SIZE];
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__shared__ ResType sMaxVal[BLOCK_SIZE];
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__shared__ uint sMinLoc[BLOCK_SIZE];
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__shared__ uint sMaxLoc[BLOCK_SIZE];
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const int x0 = blockIdx.x * blockDim.x * patch_x + threadIdx.x;
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const int y0 = blockIdx.y * blockDim.y * patch_y + threadIdx.y;
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ResType myMin = numeric_limits<ResType>::max();
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ResType myMax = -numeric_limits<ResType>::max();
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int myMinLoc = -1;
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int myMaxLoc = -1;
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for (int i = 0, y = y0; i < patch_y && y < rows; ++i, y += blockDim.y)
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{
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for (int j = 0, x = x0; j < patch_x && x < cols; ++j, x += blockDim.x)
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{
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if (mask(y, x))
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{
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const ResType srcVal = src(y, x);
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if (srcVal < myMin)
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{
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myMin = srcVal;
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myMinLoc = y * cols + x;
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}
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if (srcVal > myMax)
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{
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myMax = srcVal;
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myMaxLoc = y * cols + x;
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}
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}
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}
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}
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const int tid = threadIdx.y * blockDim.x + threadIdx.x;
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blockReduceKeyVal<BLOCK_SIZE>(smem_tuple(sMinVal, sMaxVal), tie(myMin, myMax),
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smem_tuple(sMinLoc, sMaxLoc), tie(myMinLoc, myMaxLoc),
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tid,
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make_tuple(less<ResType>(), greater<ResType>()));
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const int bid = blockIdx.y * gridDim.x + blockIdx.x;
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if (tid == 0)
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{
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minVal[bid] = myMin;
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maxVal[bid] = myMax;
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minLoc[bid] = myMinLoc;
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maxLoc[bid] = myMaxLoc;
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}
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}
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template <int BLOCK_SIZE, typename T>
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__global__ void minMaxLoc_pass_2(T* minMal, T* maxVal, int* minLoc, int* maxLoc, int count)
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{
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__shared__ T sMinVal[BLOCK_SIZE];
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__shared__ T sMaxVal[BLOCK_SIZE];
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__shared__ int sMinLoc[BLOCK_SIZE];
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__shared__ int sMaxLoc[BLOCK_SIZE];
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const int idx = ::min(threadIdx.x, count - 1);
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T myMin = minMal[idx];
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T myMax = maxVal[idx];
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int myMinLoc = minLoc[idx];
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int myMaxLoc = maxLoc[idx];
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blockReduceKeyVal<BLOCK_SIZE>(smem_tuple(sMinVal, sMaxVal), tie(myMin, myMax),
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smem_tuple(sMinLoc, sMaxLoc), tie(myMinLoc, myMaxLoc),
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threadIdx.x,
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make_tuple(less<T>(), greater<T>()));
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if (threadIdx.x == 0)
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{
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minMal[0] = myMin;
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maxVal[0] = myMax;
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minLoc[0] = myMinLoc;
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maxLoc[0] = myMaxLoc;
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}
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}
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template <class Policy>
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void getLaunchCfg(int rows, int cols, dim3& block, dim3& grid)
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{
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block = dim3(Policy::block_size_x, Policy::block_size_y);
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grid = dim3(divUp(cols, block.x * Policy::patch_size_x), divUp(rows, block.y * Policy::patch_size_y));
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grid.x = ::min(grid.x, block.x);
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grid.y = ::min(grid.y, block.y);
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}
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template <class Policy, class SrcPtr, typename ResType, class MaskPtr>
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__host__ void minMaxLoc(const SrcPtr& src, ResType* minVal, ResType* maxVal, int* minLoc, int* maxLoc, const MaskPtr& mask, int rows, int cols, cudaStream_t stream)
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{
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dim3 block, grid;
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getLaunchCfg<Policy>(cols, rows, block, grid);
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const int patch_x = divUp(divUp(cols, grid.x), block.x);
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const int patch_y = divUp(divUp(rows, grid.y), block.y);
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minMaxLoc_pass_1<Policy::block_size_x * Policy::block_size_y><<<grid, block, 0, stream>>>(src, minVal, maxVal, minLoc, maxLoc, mask, rows, cols, patch_y, patch_x);
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CV_CUDEV_SAFE_CALL( cudaGetLastError() );
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minMaxLoc_pass_2<Policy::block_size_x * Policy::block_size_y><<<1, Policy::block_size_x * Policy::block_size_y, 0, stream>>>(minVal, maxVal, minLoc, maxLoc, grid.x * grid.y);
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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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@ -53,6 +53,7 @@
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#include "../ptr2d/mask.hpp"
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#include "../ptr2d/transform.hpp"
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#include "detail/reduce.hpp"
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#include "detail/minmaxloc.hpp"
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namespace cv { namespace cudev {
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@ -202,6 +203,46 @@ __host__ void gridFindMinMaxVal_(const SrcPtr& src, GpuMat_<ResType>& dst, Strea
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StreamAccessor::getStream(stream));
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}
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template <class Policy, class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridMinMaxLoc_(const SrcPtr& src, GpuMat_<ResType>& valBuf, GpuMat_<int>& locBuf, const MaskPtr& mask, Stream& stream = Stream::Null())
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{
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const int rows = getRows(src);
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const int cols = getCols(src);
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CV_Assert( getRows(mask) == rows && getCols(mask) == cols );
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dim3 grid, block;
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grid_minmaxloc_detail::getLaunchCfg<Policy>(rows, cols, block, grid);
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valBuf.create(2, grid.x * grid.y);
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locBuf.create(2, grid.x * grid.y);
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grid_minmaxloc_detail::minMaxLoc<Policy>(shrinkPtr(src),
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valBuf[0], valBuf[1], locBuf[0], locBuf[1],
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shrinkPtr(mask),
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rows, cols,
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StreamAccessor::getStream(stream));
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}
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template <class Policy, class SrcPtr, typename ResType>
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__host__ void gridMinMaxLoc_(const SrcPtr& src, GpuMat_<ResType>& valBuf, GpuMat_<int>& locBuf, Stream& stream = Stream::Null())
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{
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const int rows = getRows(src);
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const int cols = getCols(src);
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dim3 grid, block;
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grid_minmaxloc_detail::getLaunchCfg<Policy>(rows, cols, block, grid);
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valBuf.create(2, grid.x * grid.y);
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locBuf.create(2, grid.x * grid.y);
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grid_minmaxloc_detail::minMaxLoc<Policy>(shrinkPtr(src),
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valBuf[0], valBuf[1], locBuf[0], locBuf[1],
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WithOutMask(),
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rows, cols,
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StreamAccessor::getStream(stream));
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}
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template <class Policy, class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridCountNonZero_(const SrcPtr& src, GpuMat_<ResType>& dst, const MaskPtr& mask, Stream& stream = Stream::Null())
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{
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@ -305,6 +346,18 @@ __host__ void gridFindMinMaxVal(const SrcPtr& src, GpuMat_<ResType>& dst, Stream
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gridFindMinMaxVal_<DefaultGlobReducePolicy>(src, dst, stream);
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}
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template <class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridMinMaxLoc(const SrcPtr& src, GpuMat_<ResType>& valBuf, GpuMat_<int>& locBuf, const MaskPtr& mask, Stream& stream = Stream::Null())
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{
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gridMinMaxLoc_<DefaultGlobReducePolicy>(src, valBuf, locBuf, mask, stream);
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}
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template <class SrcPtr, typename ResType>
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__host__ void gridMinMaxLoc(const SrcPtr& src, GpuMat_<ResType>& valBuf, GpuMat_<int>& locBuf, Stream& stream = Stream::Null())
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{
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gridMinMaxLoc_<DefaultGlobReducePolicy>(src, valBuf, locBuf, stream);
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}
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template <class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridCountNonZero(const SrcPtr& src, GpuMat_<ResType>& dst, const MaskPtr& mask, Stream& stream = Stream::Null())
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{
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