231 lines
7.6 KiB
C++
231 lines
7.6 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_REDUCE_TO_VEC_HPP__
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#define __OPENCV_CUDEV_GRID_REDUCE_TO_VEC_HPP__
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#include "../common.hpp"
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#include "../util/vec_traits.hpp"
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#include "../util/limits.hpp"
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#include "../util/saturate_cast.hpp"
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#include "../ptr2d/traits.hpp"
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#include "../ptr2d/gpumat.hpp"
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#include "../ptr2d/mask.hpp"
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#include "../functional/functional.hpp"
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#include "detail/reduce_to_column.hpp"
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#include "detail/reduce_to_row.hpp"
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namespace cv { namespace cudev {
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template <typename T> struct Sum : plus<T>
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{
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typedef T work_type;
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template <typename U> struct rebind
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{
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typedef Sum<U> other;
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};
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__device__ __forceinline__ static T initialValue()
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{
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return VecTraits<T>::all(0);
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}
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__device__ __forceinline__ static T result(T r, int)
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{
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return r;
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}
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};
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template <typename T> struct Avg : plus<T>
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{
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typedef T work_type;
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template <typename U> struct rebind
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{
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typedef Avg<U> other;
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};
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__device__ __forceinline__ static T initialValue()
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{
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return VecTraits<T>::all(0);
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}
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__device__ __forceinline__ static T result(T r, float sz)
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{
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return saturate_cast<T>(r / sz);
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}
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};
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template <typename T> struct Min : minimum<T>
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{
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typedef T work_type;
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template <typename U> struct rebind
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{
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typedef Min<U> other;
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};
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__device__ __forceinline__ static T initialValue()
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{
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return VecTraits<T>::all(numeric_limits<typename VecTraits<T>::elem_type>::max());
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}
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__device__ __forceinline__ static T result(T r, int)
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{
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return r;
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}
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};
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template <typename T> struct Max : maximum<T>
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{
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typedef T work_type;
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template <typename U> struct rebind
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{
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typedef Max<U> other;
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};
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__device__ __forceinline__ static T initialValue()
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{
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return VecTraits<T>::all(-numeric_limits<typename VecTraits<T>::elem_type>::max());
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}
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__device__ __forceinline__ static T result(T r, int)
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{
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return r;
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}
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};
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template <class Reductor, class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridReduceToRow(const SrcPtr& src, GpuMat_<ResType>& dst, 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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dst.create(1, cols);
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grid_reduce_to_vec_detail::reduceToRow<Reductor>(shrinkPtr(src),
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dst[0],
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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 Reductor, class SrcPtr, typename ResType>
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__host__ void gridReduceToRow(const SrcPtr& src, GpuMat_<ResType>& dst, 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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dst.create(1, cols);
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grid_reduce_to_vec_detail::reduceToRow<Reductor>(shrinkPtr(src),
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dst[0],
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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 Reductor, class Policy, class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridReduceToColumn_(const SrcPtr& src, GpuMat_<ResType>& dst, 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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dst.create(1, rows);
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grid_reduce_to_vec_detail::reduceToColumn<Reductor, Policy>(shrinkPtr(src),
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dst[0],
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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 Reductor, class Policy, class SrcPtr, typename ResType>
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__host__ void gridReduceToColumn_(const SrcPtr& src, GpuMat_<ResType>& dst, 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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dst.create(1, rows);
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grid_reduce_to_vec_detail::reduceToColumn<Reductor, Policy>(shrinkPtr(src),
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dst[0],
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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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// default policy
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struct DefaultReduceToVecPolicy
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{
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enum {
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block_size_x = 32,
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block_size_y = 8
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};
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};
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template <class Reductor, class SrcPtr, typename ResType, class MaskPtr>
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__host__ void gridReduceToColumn(const SrcPtr& src, GpuMat_<ResType>& dst, const MaskPtr& mask, Stream& stream = Stream::Null())
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{
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gridReduceToColumn_<Reductor, DefaultReduceToVecPolicy>(src, dst, mask, stream);
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}
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template <class Reductor, class SrcPtr, typename ResType>
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__host__ void gridReduceToColumn(const SrcPtr& src, GpuMat_<ResType>& dst, Stream& stream = Stream::Null())
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{
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gridReduceToColumn_<Reductor, DefaultReduceToVecPolicy>(src, dst, stream);
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}
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}}
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#endif
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