394 lines
11 KiB
C++
394 lines
11 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_PTR2D_DERIV_HPP__
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#define __OPENCV_CUDEV_PTR2D_DERIV_HPP__
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#include "../common.hpp"
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#include "../grid/copy.hpp"
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#include "traits.hpp"
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#include "gpumat.hpp"
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namespace cv { namespace cudev {
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// derivX
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template <class SrcPtr> struct DerivXPtr
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ __forceinline__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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return src(y, x + 1) - src(y, x - 1);
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}
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};
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template <class SrcPtr> struct DerivXPtrSz : DerivXPtr<SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <class SrcPtr>
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__host__ DerivXPtrSz<typename PtrTraits<SrcPtr>::ptr_type> derivXPtr(const SrcPtr& src)
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{
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DerivXPtrSz<typename PtrTraits<SrcPtr>::ptr_type> s;
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s.src = shrinkPtr(src);
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s.rows = getRows(src);
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s.cols = getCols(src);
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return s;
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}
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template <class SrcPtr> struct PtrTraits< DerivXPtrSz<SrcPtr> > : PtrTraitsBase<DerivXPtrSz<SrcPtr>, DerivXPtr<SrcPtr> >
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{
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};
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// derivY
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template <class SrcPtr> struct DerivYPtr
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ __forceinline__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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return src(y + 1, x) - src(y - 1, x);
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}
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};
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template <class SrcPtr> struct DerivYPtrSz : DerivYPtr<SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <class SrcPtr>
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__host__ DerivYPtrSz<typename PtrTraits<SrcPtr>::ptr_type> derivYPtr(const SrcPtr& src)
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{
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DerivYPtrSz<typename PtrTraits<SrcPtr>::ptr_type> s;
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s.src = shrinkPtr(src);
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s.rows = getRows(src);
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s.cols = getCols(src);
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return s;
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}
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template <class SrcPtr> struct PtrTraits< DerivYPtrSz<SrcPtr> > : PtrTraitsBase<DerivYPtrSz<SrcPtr>, DerivYPtr<SrcPtr> >
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{
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};
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// sobelX
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template <class SrcPtr> struct SobelXPtr
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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typename PtrTraits<SrcPtr>::value_type vals[6] =
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{
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src(y - 1, x - 1), src(y - 1, x + 1),
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src(y , x - 1), src(y , x + 1),
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src(y + 1, x - 1), src(y + 1, x + 1),
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};
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return (vals[1] - vals[0]) + 2 * (vals[3] - vals[2]) + (vals[5] - vals[4]);
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}
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};
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template <class SrcPtr> struct SobelXPtrSz : SobelXPtr<SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <class SrcPtr>
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__host__ SobelXPtrSz<typename PtrTraits<SrcPtr>::ptr_type> sobelXPtr(const SrcPtr& src)
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{
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SobelXPtrSz<typename PtrTraits<SrcPtr>::ptr_type> s;
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s.src = shrinkPtr(src);
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s.rows = getRows(src);
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s.cols = getCols(src);
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return s;
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}
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template <class SrcPtr> struct PtrTraits< SobelXPtrSz<SrcPtr> > : PtrTraitsBase<SobelXPtrSz<SrcPtr>, SobelXPtr<SrcPtr> >
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{
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};
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// sobelY
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template <class SrcPtr> struct SobelYPtr
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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typename PtrTraits<SrcPtr>::value_type vals[6] =
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{
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src(y - 1, x - 1), src(y - 1, x), src(y - 1, x + 1),
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src(y + 1, x - 1), src(y + 1, x), src(y + 1, x + 1)
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};
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return (vals[3] - vals[0]) + 2 * (vals[4] - vals[1]) + (vals[5] - vals[2]);
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}
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};
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template <class SrcPtr> struct SobelYPtrSz : SobelYPtr<SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <class SrcPtr>
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__host__ SobelYPtrSz<typename PtrTraits<SrcPtr>::ptr_type> sobelYPtr(const SrcPtr& src)
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{
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SobelYPtrSz<typename PtrTraits<SrcPtr>::ptr_type> s;
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s.src = shrinkPtr(src);
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s.rows = getRows(src);
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s.cols = getCols(src);
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return s;
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}
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template <class SrcPtr> struct PtrTraits< SobelYPtrSz<SrcPtr> > : PtrTraitsBase<SobelYPtrSz<SrcPtr>, SobelYPtr<SrcPtr> >
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{
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};
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// scharrX
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template <class SrcPtr> struct ScharrXPtr
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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typename PtrTraits<SrcPtr>::value_type vals[6] =
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{
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src(y - 1, x - 1), src(y - 1, x + 1),
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src(y , x - 1), src(y , x + 1),
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src(y + 1, x - 1), src(y + 1, x + 1),
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};
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return 3 * (vals[1] - vals[0]) + 10 * (vals[3] - vals[2]) + 3 * (vals[5] - vals[4]);
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}
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};
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template <class SrcPtr> struct ScharrXPtrSz : ScharrXPtr<SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <class SrcPtr>
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__host__ ScharrXPtrSz<typename PtrTraits<SrcPtr>::ptr_type> scharrXPtr(const SrcPtr& src)
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{
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ScharrXPtrSz<typename PtrTraits<SrcPtr>::ptr_type> s;
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s.src = shrinkPtr(src);
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s.rows = getRows(src);
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s.cols = getCols(src);
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return s;
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}
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template <class SrcPtr> struct PtrTraits< ScharrXPtrSz<SrcPtr> > : PtrTraitsBase<ScharrXPtrSz<SrcPtr>, ScharrXPtr<SrcPtr> >
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{
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};
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// scharrY
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template <class SrcPtr> struct ScharrYPtr
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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typename PtrTraits<SrcPtr>::value_type vals[6] =
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{
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src(y - 1, x - 1), src(y - 1, x), src(y - 1, x + 1),
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src(y + 1, x - 1), src(y + 1, x), src(y + 1, x + 1)
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};
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return 3 * (vals[3] - vals[0]) + 10 * (vals[4] - vals[1]) + 3 * (vals[5] - vals[2]);
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}
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};
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template <class SrcPtr> struct ScharrYPtrSz : ScharrYPtr<SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <class SrcPtr>
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__host__ ScharrYPtrSz<typename PtrTraits<SrcPtr>::ptr_type> scharrYPtr(const SrcPtr& src)
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{
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ScharrYPtrSz<typename PtrTraits<SrcPtr>::ptr_type> s;
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s.src = shrinkPtr(src);
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s.rows = getRows(src);
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s.cols = getCols(src);
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return s;
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}
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template <class SrcPtr> struct PtrTraits< ScharrYPtrSz<SrcPtr> > : PtrTraitsBase<ScharrYPtrSz<SrcPtr>, ScharrYPtr<SrcPtr> >
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{
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};
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// laplacian
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template <int ksize, class SrcPtr> struct LaplacianPtr;
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template <class SrcPtr> struct LaplacianPtr<1, SrcPtr>
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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typename PtrTraits<SrcPtr>::value_type vals[5] =
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{
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src(y - 1, x),
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src(y, x - 1), src(y , x), src(y, x + 1),
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src(y + 1, x)
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};
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return (vals[0] + vals[1] + vals[3] + vals[4]) - 4 * vals[2];
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}
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};
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template <class SrcPtr> struct LaplacianPtr<3, SrcPtr>
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{
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typedef typename PtrTraits<SrcPtr>::value_type value_type;
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typedef int index_type;
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SrcPtr src;
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__device__ typename PtrTraits<SrcPtr>::value_type operator ()(int y, int x) const
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{
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typename PtrTraits<SrcPtr>::value_type vals[5] =
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{
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src(y - 1, x - 1), src(y - 1, x + 1),
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src(y, x),
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src(y + 1, x - 1), src(y + 1, x + 1)
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};
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return 2 * (vals[0] + vals[1] + vals[3] + vals[4]) - 8 * vals[2];
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}
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};
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template <int ksize, class SrcPtr> struct LaplacianPtrSz : LaplacianPtr<ksize, SrcPtr>
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{
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int rows, cols;
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template <typename T>
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__host__ void assignTo(GpuMat_<T>& dst, Stream& stream = Stream::Null()) const
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{
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gridCopy(*this, dst, stream);
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}
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};
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template <int ksize, class SrcPtr>
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__host__ LaplacianPtrSz<ksize, typename PtrTraits<SrcPtr>::ptr_type> laplacianPtr(const SrcPtr& src)
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{
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LaplacianPtrSz<ksize, typename PtrTraits<SrcPtr>::ptr_type> ptr;
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ptr.src = shrinkPtr(src);
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ptr.rows = getRows(src);
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ptr.cols = getCols(src);
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return ptr;
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}
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template <int ksize, class SrcPtr> struct PtrTraits< LaplacianPtrSz<ksize, SrcPtr> > : PtrTraitsBase<LaplacianPtrSz<ksize, SrcPtr>, LaplacianPtr<ksize, SrcPtr> >
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{
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};
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}}
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#endif
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