opencv/modules/cudaarithm/src/cuda/absdiff_scalar.cu

99 lines
4.1 KiB
Plaintext
Raw Normal View History

2012-10-17 15:12:04 +08:00
/*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.
2012-10-17 15:12:04 +08:00
//
// * 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
2012-10-17 15:12:04 +08:00
// 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"
2012-10-17 15:12:04 +08:00
2013-08-28 19:45:13 +08:00
using namespace cv::cuda;
using namespace cv::cuda::device;
2012-10-17 15:12:04 +08:00
namespace arithm
{
template <typename T, typename S> struct AbsDiffScalar : unary_function<T, T>
{
S val;
2012-10-17 15:12:04 +08:00
__host__ explicit AbsDiffScalar(S val_) : val(val_) {}
2012-10-17 15:12:04 +08:00
__device__ __forceinline__ T operator ()(T a) const
{
abs_func<S> f;
return saturate_cast<T>(f(a - val));
}
};
}
2012-10-17 15:12:04 +08:00
namespace cv { namespace cuda { namespace device
2012-10-17 15:12:04 +08:00
{
template <typename T, typename S> struct TransformFunctorTraits< arithm::AbsDiffScalar<T, S> > : arithm::ArithmFuncTraits<sizeof(T), sizeof(T)>
2012-10-17 15:12:04 +08:00
{
};
2012-10-17 15:12:04 +08:00
}}}
namespace arithm
2012-10-17 15:12:04 +08:00
{
template <typename T, typename S>
void absDiffScalar(PtrStepSzb src1, double val, PtrStepSzb dst, cudaStream_t stream)
2012-10-17 15:12:04 +08:00
{
AbsDiffScalar<T, S> op(static_cast<S>(val));
device::transform((PtrStepSz<T>) src1, (PtrStepSz<T>) dst, op, WithOutMask(), stream);
2012-10-17 15:12:04 +08:00
}
template void absDiffScalar<uchar, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
template void absDiffScalar<schar, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
template void absDiffScalar<ushort, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
template void absDiffScalar<short, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
template void absDiffScalar<int, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
template void absDiffScalar<float, float>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
template void absDiffScalar<double, double>(PtrStepSzb src1, double src2, PtrStepSzb dst, cudaStream_t stream);
2012-10-17 15:12:04 +08:00
}
#endif // CUDA_DISABLER