/*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 "arithm_func_traits.hpp" using namespace cv::gpu; using namespace cv::gpu::cudev; namespace arithm { struct Div_8uc4_32f : binary_function { __device__ __forceinline__ uint operator ()(uint a, float b) const { uint res = 0; if (b != 0) { b = 1.0f / b; res |= (saturate_cast((0xffu & (a )) * b) ); res |= (saturate_cast((0xffu & (a >> 8)) * b) << 8); res |= (saturate_cast((0xffu & (a >> 16)) * b) << 16); res |= (saturate_cast((0xffu & (a >> 24)) * b) << 24); } return res; } }; struct Div_16sc4_32f : binary_function { __device__ __forceinline__ short4 operator ()(short4 a, float b) const { return b != 0 ? make_short4(saturate_cast(a.x / b), saturate_cast(a.y / b), saturate_cast(a.z / b), saturate_cast(a.w / b)) : make_short4(0,0,0,0); } }; template struct Div : binary_function { __device__ __forceinline__ D operator ()(T a, T b) const { return b != 0 ? saturate_cast(a / b) : 0; } __host__ __device__ __forceinline__ Div() {} __host__ __device__ __forceinline__ Div(const Div&) {} }; template struct Div : binary_function { __device__ __forceinline__ float operator ()(T a, T b) const { return b != 0 ? static_cast(a) / b : 0; } __host__ __device__ __forceinline__ Div() {} __host__ __device__ __forceinline__ Div(const Div&) {} }; template struct Div : binary_function { __device__ __forceinline__ double operator ()(T a, T b) const { return b != 0 ? static_cast(a) / b : 0; } __host__ __device__ __forceinline__ Div() {} __host__ __device__ __forceinline__ Div(const Div&) {} }; template struct DivScale : binary_function { S scale; __host__ explicit DivScale(S scale_) : scale(scale_) {} __device__ __forceinline__ D operator ()(T a, T b) const { return b != 0 ? saturate_cast(scale * a / b) : 0; } }; } namespace cv { namespace gpu { namespace cudev { template <> struct TransformFunctorTraits : arithm::ArithmFuncTraits { }; template struct TransformFunctorTraits< arithm::Div > : arithm::ArithmFuncTraits { }; template struct TransformFunctorTraits< arithm::DivScale > : arithm::ArithmFuncTraits { }; }}} namespace arithm { void divMat_8uc4_32f(PtrStepSz src1, PtrStepSzf src2, PtrStepSz dst, cudaStream_t stream) { cudev::transform(src1, src2, dst, Div_8uc4_32f(), WithOutMask(), stream); } void divMat_16sc4_32f(PtrStepSz src1, PtrStepSzf src2, PtrStepSz dst, cudaStream_t stream) { cudev::transform(src1, src2, dst, Div_16sc4_32f(), WithOutMask(), stream); } template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream) { if (scale == 1) { Div op; cudev::transform((PtrStepSz) src1, (PtrStepSz) src2, (PtrStepSz) dst, op, WithOutMask(), stream); } else { DivScale op(static_cast(scale)); cudev::transform((PtrStepSz) src1, (PtrStepSz) src2, (PtrStepSz) dst, op, WithOutMask(), stream); } } template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); //template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); template void divMat(PtrStepSzb src1, PtrStepSzb src2, PtrStepSzb dst, double scale, cudaStream_t stream); } #endif // CUDA_DISABLER