/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #pragma once #ifndef __OPENCV_CUDEV_PTR2D_DERIV_HPP__ #define __OPENCV_CUDEV_PTR2D_DERIV_HPP__ #include "../common.hpp" #include "../grid/copy.hpp" #include "traits.hpp" #include "gpumat.hpp" namespace cv { namespace cudev { //! @addtogroup cudev //! @{ // derivX template struct DerivXPtr { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ __forceinline__ typename PtrTraits::value_type operator ()(int y, int x) const { return src(y, x + 1) - src(y, x - 1); } }; template struct DerivXPtrSz : DerivXPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ DerivXPtrSz::ptr_type> derivXPtr(const SrcPtr& src) { DerivXPtrSz::ptr_type> s; s.src = shrinkPtr(src); s.rows = getRows(src); s.cols = getCols(src); return s; } template struct PtrTraits< DerivXPtrSz > : PtrTraitsBase, DerivXPtr > { }; // derivY template struct DerivYPtr { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ __forceinline__ typename PtrTraits::value_type operator ()(int y, int x) const { return src(y + 1, x) - src(y - 1, x); } }; template struct DerivYPtrSz : DerivYPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ DerivYPtrSz::ptr_type> derivYPtr(const SrcPtr& src) { DerivYPtrSz::ptr_type> s; s.src = shrinkPtr(src); s.rows = getRows(src); s.cols = getCols(src); return s; } template struct PtrTraits< DerivYPtrSz > : PtrTraitsBase, DerivYPtr > { }; // sobelX template struct SobelXPtr { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ typename PtrTraits::value_type operator ()(int y, int x) const { typename PtrTraits::value_type vals[6] = { src(y - 1, x - 1), src(y - 1, x + 1), src(y , x - 1), src(y , x + 1), src(y + 1, x - 1), src(y + 1, x + 1), }; return (vals[1] - vals[0]) + 2 * (vals[3] - vals[2]) + (vals[5] - vals[4]); } }; template struct SobelXPtrSz : SobelXPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ SobelXPtrSz::ptr_type> sobelXPtr(const SrcPtr& src) { SobelXPtrSz::ptr_type> s; s.src = shrinkPtr(src); s.rows = getRows(src); s.cols = getCols(src); return s; } template struct PtrTraits< SobelXPtrSz > : PtrTraitsBase, SobelXPtr > { }; // sobelY template struct SobelYPtr { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ typename PtrTraits::value_type operator ()(int y, int x) const { typename PtrTraits::value_type vals[6] = { src(y - 1, x - 1), src(y - 1, x), src(y - 1, x + 1), src(y + 1, x - 1), src(y + 1, x), src(y + 1, x + 1) }; return (vals[3] - vals[0]) + 2 * (vals[4] - vals[1]) + (vals[5] - vals[2]); } }; template struct SobelYPtrSz : SobelYPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ SobelYPtrSz::ptr_type> sobelYPtr(const SrcPtr& src) { SobelYPtrSz::ptr_type> s; s.src = shrinkPtr(src); s.rows = getRows(src); s.cols = getCols(src); return s; } template struct PtrTraits< SobelYPtrSz > : PtrTraitsBase, SobelYPtr > { }; // scharrX template struct ScharrXPtr { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ typename PtrTraits::value_type operator ()(int y, int x) const { typename PtrTraits::value_type vals[6] = { src(y - 1, x - 1), src(y - 1, x + 1), src(y , x - 1), src(y , x + 1), src(y + 1, x - 1), src(y + 1, x + 1), }; return 3 * (vals[1] - vals[0]) + 10 * (vals[3] - vals[2]) + 3 * (vals[5] - vals[4]); } }; template struct ScharrXPtrSz : ScharrXPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ ScharrXPtrSz::ptr_type> scharrXPtr(const SrcPtr& src) { ScharrXPtrSz::ptr_type> s; s.src = shrinkPtr(src); s.rows = getRows(src); s.cols = getCols(src); return s; } template struct PtrTraits< ScharrXPtrSz > : PtrTraitsBase, ScharrXPtr > { }; // scharrY template struct ScharrYPtr { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ typename PtrTraits::value_type operator ()(int y, int x) const { typename PtrTraits::value_type vals[6] = { src(y - 1, x - 1), src(y - 1, x), src(y - 1, x + 1), src(y + 1, x - 1), src(y + 1, x), src(y + 1, x + 1) }; return 3 * (vals[3] - vals[0]) + 10 * (vals[4] - vals[1]) + 3 * (vals[5] - vals[2]); } }; template struct ScharrYPtrSz : ScharrYPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ ScharrYPtrSz::ptr_type> scharrYPtr(const SrcPtr& src) { ScharrYPtrSz::ptr_type> s; s.src = shrinkPtr(src); s.rows = getRows(src); s.cols = getCols(src); return s; } template struct PtrTraits< ScharrYPtrSz > : PtrTraitsBase, ScharrYPtr > { }; // laplacian template struct LaplacianPtr; template struct LaplacianPtr<1, SrcPtr> { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ typename PtrTraits::value_type operator ()(int y, int x) const { typename PtrTraits::value_type vals[5] = { src(y - 1, x), src(y, x - 1), src(y , x), src(y, x + 1), src(y + 1, x) }; return (vals[0] + vals[1] + vals[3] + vals[4]) - 4 * vals[2]; } }; template struct LaplacianPtr<3, SrcPtr> { typedef typename PtrTraits::value_type value_type; typedef int index_type; SrcPtr src; __device__ typename PtrTraits::value_type operator ()(int y, int x) const { typename PtrTraits::value_type vals[5] = { src(y - 1, x - 1), src(y - 1, x + 1), src(y, x), src(y + 1, x - 1), src(y + 1, x + 1) }; return 2 * (vals[0] + vals[1] + vals[3] + vals[4]) - 8 * vals[2]; } }; template struct LaplacianPtrSz : LaplacianPtr { int rows, cols; template __host__ void assignTo(GpuMat_& dst, Stream& stream = Stream::Null()) const { gridCopy(*this, dst, stream); } }; template __host__ LaplacianPtrSz::ptr_type> laplacianPtr(const SrcPtr& src) { LaplacianPtrSz::ptr_type> ptr; ptr.src = shrinkPtr(src); ptr.rows = getRows(src); ptr.cols = getCols(src); return ptr; } template struct PtrTraits< LaplacianPtrSz > : PtrTraitsBase, LaplacianPtr > { }; //! @} }} #endif