/*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. // 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*/ #if !defined CUDA_DISABLER #include "opencv2/core/cuda/common.hpp" #include "opencv2/core/cuda/functional.hpp" #include "opencv2/core/cuda/transform.hpp" #include "opencv2/core/cuda/saturate_cast.hpp" #include "opencv2/core/cuda/simd_functions.hpp" #include "opencv2/core/cuda/vec_math.hpp" #include "arithm_func_traits.hpp" using namespace cv::gpu; using namespace cv::gpu::cudev; namespace arithm { template struct Cmp : binary_function { __device__ __forceinline__ uchar operator()(T a, T b) const { Op op; return -op(a, b); } }; #define TYPE_VEC(type, cn) typename TypeVec::vec_type template struct CmpScalar; template struct CmpScalar : unary_function { T val; __host__ explicit CmpScalar(T val_) : val(val_) {} __device__ __forceinline__ uchar operator()(T src) const { Cmp op; return op(src, val); } }; template struct CmpScalar : unary_function { TYPE_VEC(T, 2) val; __host__ explicit CmpScalar(TYPE_VEC(T, 2) val_) : val(val_) {} __device__ __forceinline__ TYPE_VEC(uchar, 2) operator()(const TYPE_VEC(T, 2) & src) const { Cmp op; return VecTraits::make(op(src.x, val.x), op(src.y, val.y)); } }; template struct CmpScalar : unary_function { TYPE_VEC(T, 3) val; __host__ explicit CmpScalar(TYPE_VEC(T, 3) val_) : val(val_) {} __device__ __forceinline__ TYPE_VEC(uchar, 3) operator()(const TYPE_VEC(T, 3) & src) const { Cmp op; return VecTraits::make(op(src.x, val.x), op(src.y, val.y), op(src.z, val.z)); } }; template struct CmpScalar : unary_function { TYPE_VEC(T, 4) val; __host__ explicit CmpScalar(TYPE_VEC(T, 4) val_) : val(val_) {} __device__ __forceinline__ TYPE_VEC(uchar, 4) operator()(const TYPE_VEC(T, 4) & src) const { Cmp op; return VecTraits::make(op(src.x, val.x), op(src.y, val.y), op(src.z, val.z), op(src.w, val.w)); } }; #undef TYPE_VEC } namespace cv { namespace gpu { namespace cudev { template struct TransformFunctorTraits< arithm::CmpScalar > : arithm::ArithmFuncTraits { }; }}} namespace arithm { template