Normalize line endings and whitespace
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committed by
Andrey Kamaev
Andrey Kamaev
parent
69020da607
commit
04384a71e4
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-910
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+1025
-1025
File diff suppressed because it is too large
Load Diff
@@ -1,154 +1,154 @@
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/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
#ifndef _ncv_alg_hpp_
|
||||
#define _ncv_alg_hpp_
|
||||
|
||||
#include "NCV.hpp"
|
||||
|
||||
|
||||
template <class T>
|
||||
static void swap(T &p1, T &p2)
|
||||
{
|
||||
T tmp = p1;
|
||||
p1 = p2;
|
||||
p2 = tmp;
|
||||
}
|
||||
|
||||
|
||||
template<typename T>
|
||||
static T divUp(T a, T b)
|
||||
{
|
||||
return (a + b - 1) / b;
|
||||
}
|
||||
|
||||
|
||||
template<typename T>
|
||||
struct functorAddValues
|
||||
{
|
||||
static __device__ __inline__ void assign(volatile T *dst, volatile T *src)
|
||||
{
|
||||
//Works only for integral types. If you see compiler error here, then you have to specify how to copy your object as a set of integral fields.
|
||||
*dst = *src;
|
||||
}
|
||||
static __device__ __inline__ void reduce(volatile T &in1out, const volatile T &in2)
|
||||
{
|
||||
in1out += in2;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<typename T>
|
||||
struct functorMinValues
|
||||
{
|
||||
static __device__ __inline__ void assign(volatile T *dst, volatile T *src)
|
||||
{
|
||||
//Works only for integral types. If you see compiler error here, then you have to specify how to copy your object as a set of integral fields.
|
||||
*dst = *src;
|
||||
}
|
||||
static __device__ __inline__ void reduce(volatile T &in1out, const volatile T &in2)
|
||||
{
|
||||
in1out = in1out > in2 ? in2 : in1out;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<typename T>
|
||||
struct functorMaxValues
|
||||
{
|
||||
static __device__ __inline__ void assign(volatile T *dst, volatile T *src)
|
||||
{
|
||||
//Works only for integral types. If you see compiler error here, then you have to specify how to copy your object as a set of integral fields.
|
||||
*dst = *src;
|
||||
}
|
||||
static __device__ __inline__ void reduce(volatile T &in1out, const volatile T &in2)
|
||||
{
|
||||
in1out = in1out > in2 ? in1out : in2;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<typename Tdata, class Tfunc, Ncv32u nThreads>
|
||||
static __device__ Tdata subReduce(Tdata threadElem)
|
||||
{
|
||||
Tfunc functor;
|
||||
|
||||
__shared__ Tdata _reduceArr[nThreads];
|
||||
volatile Tdata *reduceArr = _reduceArr;
|
||||
functor.assign(reduceArr + threadIdx.x, &threadElem);
|
||||
__syncthreads();
|
||||
|
||||
if (nThreads >= 256 && threadIdx.x < 128)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 128]);
|
||||
}
|
||||
__syncthreads();
|
||||
|
||||
if (nThreads >= 128 && threadIdx.x < 64)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 64]);
|
||||
}
|
||||
__syncthreads();
|
||||
|
||||
if (threadIdx.x < 32)
|
||||
{
|
||||
if (nThreads >= 64)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 32]);
|
||||
}
|
||||
if (nThreads >= 32 && threadIdx.x < 16)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 16]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 8]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 4]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 2]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 1]);
|
||||
}
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
Tdata reduceRes;
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functor.assign(&reduceRes, reduceArr);
|
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return reduceRes;
|
||||
}
|
||||
|
||||
|
||||
#endif //_ncv_alg_hpp_
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
#ifndef _ncv_alg_hpp_
|
||||
#define _ncv_alg_hpp_
|
||||
|
||||
#include "NCV.hpp"
|
||||
|
||||
|
||||
template <class T>
|
||||
static void swap(T &p1, T &p2)
|
||||
{
|
||||
T tmp = p1;
|
||||
p1 = p2;
|
||||
p2 = tmp;
|
||||
}
|
||||
|
||||
|
||||
template<typename T>
|
||||
static T divUp(T a, T b)
|
||||
{
|
||||
return (a + b - 1) / b;
|
||||
}
|
||||
|
||||
|
||||
template<typename T>
|
||||
struct functorAddValues
|
||||
{
|
||||
static __device__ __inline__ void assign(volatile T *dst, volatile T *src)
|
||||
{
|
||||
//Works only for integral types. If you see compiler error here, then you have to specify how to copy your object as a set of integral fields.
|
||||
*dst = *src;
|
||||
}
|
||||
static __device__ __inline__ void reduce(volatile T &in1out, const volatile T &in2)
|
||||
{
|
||||
in1out += in2;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<typename T>
|
||||
struct functorMinValues
|
||||
{
|
||||
static __device__ __inline__ void assign(volatile T *dst, volatile T *src)
|
||||
{
|
||||
//Works only for integral types. If you see compiler error here, then you have to specify how to copy your object as a set of integral fields.
|
||||
*dst = *src;
|
||||
}
|
||||
static __device__ __inline__ void reduce(volatile T &in1out, const volatile T &in2)
|
||||
{
|
||||
in1out = in1out > in2 ? in2 : in1out;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<typename T>
|
||||
struct functorMaxValues
|
||||
{
|
||||
static __device__ __inline__ void assign(volatile T *dst, volatile T *src)
|
||||
{
|
||||
//Works only for integral types. If you see compiler error here, then you have to specify how to copy your object as a set of integral fields.
|
||||
*dst = *src;
|
||||
}
|
||||
static __device__ __inline__ void reduce(volatile T &in1out, const volatile T &in2)
|
||||
{
|
||||
in1out = in1out > in2 ? in1out : in2;
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
template<typename Tdata, class Tfunc, Ncv32u nThreads>
|
||||
static __device__ Tdata subReduce(Tdata threadElem)
|
||||
{
|
||||
Tfunc functor;
|
||||
|
||||
__shared__ Tdata _reduceArr[nThreads];
|
||||
volatile Tdata *reduceArr = _reduceArr;
|
||||
functor.assign(reduceArr + threadIdx.x, &threadElem);
|
||||
__syncthreads();
|
||||
|
||||
if (nThreads >= 256 && threadIdx.x < 128)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 128]);
|
||||
}
|
||||
__syncthreads();
|
||||
|
||||
if (nThreads >= 128 && threadIdx.x < 64)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 64]);
|
||||
}
|
||||
__syncthreads();
|
||||
|
||||
if (threadIdx.x < 32)
|
||||
{
|
||||
if (nThreads >= 64)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 32]);
|
||||
}
|
||||
if (nThreads >= 32 && threadIdx.x < 16)
|
||||
{
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 16]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 8]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 4]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 2]);
|
||||
functor.reduce(reduceArr[threadIdx.x], reduceArr[threadIdx.x + 1]);
|
||||
}
|
||||
}
|
||||
|
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__syncthreads();
|
||||
Tdata reduceRes;
|
||||
functor.assign(&reduceRes, reduceArr);
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return reduceRes;
|
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}
|
||||
|
||||
|
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#endif //_ncv_alg_hpp_
|
||||
|
||||
@@ -1,99 +1,99 @@
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
// this file does not contain any used code.
|
||||
|
||||
#ifndef _ncv_color_conversion_hpp_
|
||||
#define _ncv_color_conversion_hpp_
|
||||
|
||||
#include "NCVPixelOperations.hpp"
|
||||
|
||||
#if 0
|
||||
enum NCVColorSpace
|
||||
{
|
||||
NCVColorSpaceGray,
|
||||
NCVColorSpaceRGBA,
|
||||
};
|
||||
|
||||
template<NCVColorSpace CSin, NCVColorSpace CSout, typename Tin, typename Tout> struct __pixColorConv {
|
||||
static void _pixColorConv(const Tin &pixIn, Tout &pixOut);
|
||||
};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixColorConv<NCVColorSpaceRGBA, NCVColorSpaceGray, Tin, Tout> {
|
||||
static void _pixColorConv(const Tin &pixIn, Tout &pixOut)
|
||||
{
|
||||
Ncv32f luma = 0.299f * pixIn.x + 0.587f * pixIn.y + 0.114f * pixIn.z;
|
||||
_TDemoteClampNN(luma, pixOut.x);
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixColorConv<NCVColorSpaceGray, NCVColorSpaceRGBA, Tin, Tout> {
|
||||
static void _pixColorConv(const Tin &pixIn, Tout &pixOut)
|
||||
{
|
||||
_TDemoteClampNN(pixIn.x, pixOut.x);
|
||||
_TDemoteClampNN(pixIn.x, pixOut.y);
|
||||
_TDemoteClampNN(pixIn.x, pixOut.z);
|
||||
pixOut.w = 0;
|
||||
}};
|
||||
|
||||
template<NCVColorSpace CSin, NCVColorSpace CSout, typename Tin, typename Tout>
|
||||
static NCVStatus _ncvColorConv_host(const NCVMatrix<Tin> &h_imgIn,
|
||||
const NCVMatrix<Tout> &h_imgOut)
|
||||
{
|
||||
ncvAssertReturn(h_imgIn.size() == h_imgOut.size(), NCV_DIMENSIONS_INVALID);
|
||||
ncvAssertReturn(h_imgIn.memType() == h_imgOut.memType() &&
|
||||
(h_imgIn.memType() == NCVMemoryTypeHostPinned || h_imgIn.memType() == NCVMemoryTypeNone), NCV_MEM_RESIDENCE_ERROR);
|
||||
NCV_SET_SKIP_COND(h_imgIn.memType() == NCVMemoryTypeNone);
|
||||
NCV_SKIP_COND_BEGIN
|
||||
|
||||
for (Ncv32u i=0; i<h_imgIn.height(); i++)
|
||||
{
|
||||
for (Ncv32u j=0; j<h_imgIn.width(); j++)
|
||||
{
|
||||
__pixColorConv<CSin, CSout, Tin, Tout>::_pixColorConv(h_imgIn.at(j,i), h_imgOut.at(j,i));
|
||||
}
|
||||
}
|
||||
|
||||
NCV_SKIP_COND_END
|
||||
return NCV_SUCCESS;
|
||||
}
|
||||
#endif
|
||||
|
||||
#endif //_ncv_color_conversion_hpp_
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
// this file does not contain any used code.
|
||||
|
||||
#ifndef _ncv_color_conversion_hpp_
|
||||
#define _ncv_color_conversion_hpp_
|
||||
|
||||
#include "NCVPixelOperations.hpp"
|
||||
|
||||
#if 0
|
||||
enum NCVColorSpace
|
||||
{
|
||||
NCVColorSpaceGray,
|
||||
NCVColorSpaceRGBA,
|
||||
};
|
||||
|
||||
template<NCVColorSpace CSin, NCVColorSpace CSout, typename Tin, typename Tout> struct __pixColorConv {
|
||||
static void _pixColorConv(const Tin &pixIn, Tout &pixOut);
|
||||
};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixColorConv<NCVColorSpaceRGBA, NCVColorSpaceGray, Tin, Tout> {
|
||||
static void _pixColorConv(const Tin &pixIn, Tout &pixOut)
|
||||
{
|
||||
Ncv32f luma = 0.299f * pixIn.x + 0.587f * pixIn.y + 0.114f * pixIn.z;
|
||||
_TDemoteClampNN(luma, pixOut.x);
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixColorConv<NCVColorSpaceGray, NCVColorSpaceRGBA, Tin, Tout> {
|
||||
static void _pixColorConv(const Tin &pixIn, Tout &pixOut)
|
||||
{
|
||||
_TDemoteClampNN(pixIn.x, pixOut.x);
|
||||
_TDemoteClampNN(pixIn.x, pixOut.y);
|
||||
_TDemoteClampNN(pixIn.x, pixOut.z);
|
||||
pixOut.w = 0;
|
||||
}};
|
||||
|
||||
template<NCVColorSpace CSin, NCVColorSpace CSout, typename Tin, typename Tout>
|
||||
static NCVStatus _ncvColorConv_host(const NCVMatrix<Tin> &h_imgIn,
|
||||
const NCVMatrix<Tout> &h_imgOut)
|
||||
{
|
||||
ncvAssertReturn(h_imgIn.size() == h_imgOut.size(), NCV_DIMENSIONS_INVALID);
|
||||
ncvAssertReturn(h_imgIn.memType() == h_imgOut.memType() &&
|
||||
(h_imgIn.memType() == NCVMemoryTypeHostPinned || h_imgIn.memType() == NCVMemoryTypeNone), NCV_MEM_RESIDENCE_ERROR);
|
||||
NCV_SET_SKIP_COND(h_imgIn.memType() == NCVMemoryTypeNone);
|
||||
NCV_SKIP_COND_BEGIN
|
||||
|
||||
for (Ncv32u i=0; i<h_imgIn.height(); i++)
|
||||
{
|
||||
for (Ncv32u j=0; j<h_imgIn.width(); j++)
|
||||
{
|
||||
__pixColorConv<CSin, CSout, Tin, Tout>::_pixColorConv(h_imgIn.at(j,i), h_imgOut.at(j,i));
|
||||
}
|
||||
}
|
||||
|
||||
NCV_SKIP_COND_END
|
||||
return NCV_SUCCESS;
|
||||
}
|
||||
#endif
|
||||
|
||||
#endif //_ncv_color_conversion_hpp_
|
||||
|
||||
@@ -1,350 +1,350 @@
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
#ifndef _ncv_pixel_operations_hpp_
|
||||
#define _ncv_pixel_operations_hpp_
|
||||
|
||||
#include <limits.h>
|
||||
#include <float.h>
|
||||
#include "NCV.hpp"
|
||||
|
||||
template<typename TBase> inline __host__ __device__ TBase _pixMaxVal();
|
||||
template<> static inline __host__ __device__ Ncv8u _pixMaxVal<Ncv8u>() {return UCHAR_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv16u _pixMaxVal<Ncv16u>() {return USHRT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv32u _pixMaxVal<Ncv32u>() {return UINT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv8s _pixMaxVal<Ncv8s>() {return CHAR_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv16s _pixMaxVal<Ncv16s>() {return SHRT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv32s _pixMaxVal<Ncv32s>() {return INT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv32f _pixMaxVal<Ncv32f>() {return FLT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv64f _pixMaxVal<Ncv64f>() {return DBL_MAX;}
|
||||
|
||||
template<typename TBase> inline __host__ __device__ TBase _pixMinVal();
|
||||
template<> static inline __host__ __device__ Ncv8u _pixMinVal<Ncv8u>() {return 0;}
|
||||
template<> static inline __host__ __device__ Ncv16u _pixMinVal<Ncv16u>() {return 0;}
|
||||
template<> static inline __host__ __device__ Ncv32u _pixMinVal<Ncv32u>() {return 0;}
|
||||
template<> static inline __host__ __device__ Ncv8s _pixMinVal<Ncv8s>() {return CHAR_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv16s _pixMinVal<Ncv16s>() {return SHRT_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv32s _pixMinVal<Ncv32s>() {return INT_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv32f _pixMinVal<Ncv32f>() {return FLT_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv64f _pixMinVal<Ncv64f>() {return DBL_MIN;}
|
||||
|
||||
template<typename Tvec> struct TConvVec2Base;
|
||||
template<> struct TConvVec2Base<uchar1> {typedef Ncv8u TBase;};
|
||||
template<> struct TConvVec2Base<uchar3> {typedef Ncv8u TBase;};
|
||||
template<> struct TConvVec2Base<uchar4> {typedef Ncv8u TBase;};
|
||||
template<> struct TConvVec2Base<ushort1> {typedef Ncv16u TBase;};
|
||||
template<> struct TConvVec2Base<ushort3> {typedef Ncv16u TBase;};
|
||||
template<> struct TConvVec2Base<ushort4> {typedef Ncv16u TBase;};
|
||||
template<> struct TConvVec2Base<uint1> {typedef Ncv32u TBase;};
|
||||
template<> struct TConvVec2Base<uint3> {typedef Ncv32u TBase;};
|
||||
template<> struct TConvVec2Base<uint4> {typedef Ncv32u TBase;};
|
||||
template<> struct TConvVec2Base<float1> {typedef Ncv32f TBase;};
|
||||
template<> struct TConvVec2Base<float3> {typedef Ncv32f TBase;};
|
||||
template<> struct TConvVec2Base<float4> {typedef Ncv32f TBase;};
|
||||
template<> struct TConvVec2Base<double1> {typedef Ncv64f TBase;};
|
||||
template<> struct TConvVec2Base<double3> {typedef Ncv64f TBase;};
|
||||
template<> struct TConvVec2Base<double4> {typedef Ncv64f TBase;};
|
||||
|
||||
#define NC(T) (sizeof(T) / sizeof(TConvVec2Base<T>::TBase))
|
||||
|
||||
template<typename TBase, Ncv32u NC> struct TConvBase2Vec;
|
||||
template<> struct TConvBase2Vec<Ncv8u, 1> {typedef uchar1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv8u, 3> {typedef uchar3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv8u, 4> {typedef uchar4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv16u, 1> {typedef ushort1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv16u, 3> {typedef ushort3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv16u, 4> {typedef ushort4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32u, 1> {typedef uint1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32u, 3> {typedef uint3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32u, 4> {typedef uint4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32f, 1> {typedef float1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32f, 3> {typedef float3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32f, 4> {typedef float4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv64f, 1> {typedef double1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv64f, 3> {typedef double3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv64f, 4> {typedef double4 TVec;};
|
||||
|
||||
//TODO: consider using CUDA intrinsics to avoid branching
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv8u &out) {out = (Ncv8u)CLAMP_0_255(a);};
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv16u &out) {out = (Ncv16u)CLAMP(a, 0, USHRT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv32u &out) {out = (Ncv32u)CLAMP(a, 0, UINT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv32f &out) {out = (Ncv32f)a;}
|
||||
|
||||
//TODO: consider using CUDA intrinsics to avoid branching
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv8u &out) {out = (Ncv8u)CLAMP_0_255(a+0.5f);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv16u &out) {out = (Ncv16u)CLAMP(a+0.5f, 0, USHRT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv32u &out) {out = (Ncv32u)CLAMP(a+0.5f, 0, UINT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv32f &out) {out = (Ncv32f)a;}
|
||||
|
||||
template<typename Tout> inline Tout _pixMakeZero();
|
||||
template<> static inline __host__ __device__ uchar1 _pixMakeZero<uchar1>() {return make_uchar1(0);}
|
||||
template<> static inline __host__ __device__ uchar3 _pixMakeZero<uchar3>() {return make_uchar3(0,0,0);}
|
||||
template<> static inline __host__ __device__ uchar4 _pixMakeZero<uchar4>() {return make_uchar4(0,0,0,0);}
|
||||
template<> static inline __host__ __device__ ushort1 _pixMakeZero<ushort1>() {return make_ushort1(0);}
|
||||
template<> static inline __host__ __device__ ushort3 _pixMakeZero<ushort3>() {return make_ushort3(0,0,0);}
|
||||
template<> static inline __host__ __device__ ushort4 _pixMakeZero<ushort4>() {return make_ushort4(0,0,0,0);}
|
||||
template<> static inline __host__ __device__ uint1 _pixMakeZero<uint1>() {return make_uint1(0);}
|
||||
template<> static inline __host__ __device__ uint3 _pixMakeZero<uint3>() {return make_uint3(0,0,0);}
|
||||
template<> static inline __host__ __device__ uint4 _pixMakeZero<uint4>() {return make_uint4(0,0,0,0);}
|
||||
template<> static inline __host__ __device__ float1 _pixMakeZero<float1>() {return make_float1(0.f);}
|
||||
template<> static inline __host__ __device__ float3 _pixMakeZero<float3>() {return make_float3(0.f,0.f,0.f);}
|
||||
template<> static inline __host__ __device__ float4 _pixMakeZero<float4>() {return make_float4(0.f,0.f,0.f,0.f);}
|
||||
template<> static inline __host__ __device__ double1 _pixMakeZero<double1>() {return make_double1(0.);}
|
||||
template<> static inline __host__ __device__ double3 _pixMakeZero<double3>() {return make_double3(0.,0.,0.);}
|
||||
template<> static inline __host__ __device__ double4 _pixMakeZero<double4>() {return make_double4(0.,0.,0.,0.);}
|
||||
|
||||
static inline __host__ __device__ uchar1 _pixMake(Ncv8u x) {return make_uchar1(x);}
|
||||
static inline __host__ __device__ uchar3 _pixMake(Ncv8u x, Ncv8u y, Ncv8u z) {return make_uchar3(x,y,z);}
|
||||
static inline __host__ __device__ uchar4 _pixMake(Ncv8u x, Ncv8u y, Ncv8u z, Ncv8u w) {return make_uchar4(x,y,z,w);}
|
||||
static inline __host__ __device__ ushort1 _pixMake(Ncv16u x) {return make_ushort1(x);}
|
||||
static inline __host__ __device__ ushort3 _pixMake(Ncv16u x, Ncv16u y, Ncv16u z) {return make_ushort3(x,y,z);}
|
||||
static inline __host__ __device__ ushort4 _pixMake(Ncv16u x, Ncv16u y, Ncv16u z, Ncv16u w) {return make_ushort4(x,y,z,w);}
|
||||
static inline __host__ __device__ uint1 _pixMake(Ncv32u x) {return make_uint1(x);}
|
||||
static inline __host__ __device__ uint3 _pixMake(Ncv32u x, Ncv32u y, Ncv32u z) {return make_uint3(x,y,z);}
|
||||
static inline __host__ __device__ uint4 _pixMake(Ncv32u x, Ncv32u y, Ncv32u z, Ncv32u w) {return make_uint4(x,y,z,w);}
|
||||
static inline __host__ __device__ float1 _pixMake(Ncv32f x) {return make_float1(x);}
|
||||
static inline __host__ __device__ float3 _pixMake(Ncv32f x, Ncv32f y, Ncv32f z) {return make_float3(x,y,z);}
|
||||
static inline __host__ __device__ float4 _pixMake(Ncv32f x, Ncv32f y, Ncv32f z, Ncv32f w) {return make_float4(x,y,z,w);}
|
||||
static inline __host__ __device__ double1 _pixMake(Ncv64f x) {return make_double1(x);}
|
||||
static inline __host__ __device__ double3 _pixMake(Ncv64f x, Ncv64f y, Ncv64f z) {return make_double3(x,y,z);}
|
||||
static inline __host__ __device__ double4 _pixMake(Ncv64f x, Ncv64f y, Ncv64f z, Ncv64f w) {return make_double4(x,y,z,w);}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixDemoteClampZ_CN {static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampZ_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampZ(pix.x, out.x);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampZ_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampZ(pix.x, out.x);
|
||||
_TDemoteClampZ(pix.y, out.y);
|
||||
_TDemoteClampZ(pix.z, out.z);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampZ_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampZ(pix.x, out.x);
|
||||
_TDemoteClampZ(pix.y, out.y);
|
||||
_TDemoteClampZ(pix.z, out.z);
|
||||
_TDemoteClampZ(pix.w, out.w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static inline __host__ __device__ Tout _pixDemoteClampZ(Tin &pix)
|
||||
{
|
||||
return __pixDemoteClampZ_CN<Tin, Tout, NC(Tin)>::_pixDemoteClampZ_CN(pix);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixDemoteClampNN_CN {static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampNN_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampNN(pix.x, out.x);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampNN_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampNN(pix.x, out.x);
|
||||
_TDemoteClampNN(pix.y, out.y);
|
||||
_TDemoteClampNN(pix.z, out.z);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampNN_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampNN(pix.x, out.x);
|
||||
_TDemoteClampNN(pix.y, out.y);
|
||||
_TDemoteClampNN(pix.z, out.z);
|
||||
_TDemoteClampNN(pix.w, out.w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static inline __host__ __device__ Tout _pixDemoteClampNN(Tin &pix)
|
||||
{
|
||||
return __pixDemoteClampNN_CN<Tin, Tout, NC(Tin)>::_pixDemoteClampNN_CN(pix);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw, Ncv32u CN> struct __pixScale_CN {static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w);};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> struct __pixScale_CN<Tin, Tout, Tw, 1> {
|
||||
static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w)
|
||||
{
|
||||
Tout out;
|
||||
typedef typename TConvVec2Base<Tout>::TBase TBout;
|
||||
out.x = (TBout)(pix.x * w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> struct __pixScale_CN<Tin, Tout, Tw, 3> {
|
||||
static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w)
|
||||
{
|
||||
Tout out;
|
||||
typedef typename TConvVec2Base<Tout>::TBase TBout;
|
||||
out.x = (TBout)(pix.x * w);
|
||||
out.y = (TBout)(pix.y * w);
|
||||
out.z = (TBout)(pix.z * w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> struct __pixScale_CN<Tin, Tout, Tw, 4> {
|
||||
static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w)
|
||||
{
|
||||
Tout out;
|
||||
typedef typename TConvVec2Base<Tout>::TBase TBout;
|
||||
out.x = (TBout)(pix.x * w);
|
||||
out.y = (TBout)(pix.y * w);
|
||||
out.z = (TBout)(pix.z * w);
|
||||
out.w = (TBout)(pix.w * w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> static __host__ __device__ Tout _pixScale(Tin &pix, Tw w)
|
||||
{
|
||||
return __pixScale_CN<Tin, Tout, Tw, NC(Tin)>::_pixScale_CN(pix, w);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixAdd_CN {static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixAdd_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
Tout out;
|
||||
out.x = pix1.x + pix2.x;
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixAdd_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
Tout out;
|
||||
out.x = pix1.x + pix2.x;
|
||||
out.y = pix1.y + pix2.y;
|
||||
out.z = pix1.z + pix2.z;
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixAdd_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
Tout out;
|
||||
out.x = pix1.x + pix2.x;
|
||||
out.y = pix1.y + pix2.y;
|
||||
out.z = pix1.z + pix2.z;
|
||||
out.w = pix1.w + pix2.w;
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static __host__ __device__ Tout _pixAdd(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
return __pixAdd_CN<Tin, Tout, NC(Tin)>::_pixAdd_CN(pix1, pix2);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixDist_CN {static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDist_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return Tout(SQR(pix1.x - pix2.x));
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDist_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return Tout(SQR(pix1.x - pix2.x) + SQR(pix1.y - pix2.y) + SQR(pix1.z - pix2.z));
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDist_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return Tout(SQR(pix1.x - pix2.x) + SQR(pix1.y - pix2.y) + SQR(pix1.z - pix2.z) + SQR(pix1.w - pix2.w));
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static __host__ __device__ Tout _pixDist(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return __pixDist_CN<Tin, Tout, NC(Tin)>::_pixDist_CN(pix1, pix2);
|
||||
}
|
||||
|
||||
|
||||
template <typename T> struct TAccPixWeighted;
|
||||
template<> struct TAccPixWeighted<uchar1> {typedef double1 type;};
|
||||
template<> struct TAccPixWeighted<uchar3> {typedef double3 type;};
|
||||
template<> struct TAccPixWeighted<uchar4> {typedef double4 type;};
|
||||
template<> struct TAccPixWeighted<ushort1> {typedef double1 type;};
|
||||
template<> struct TAccPixWeighted<ushort3> {typedef double3 type;};
|
||||
template<> struct TAccPixWeighted<ushort4> {typedef double4 type;};
|
||||
template<> struct TAccPixWeighted<float1> {typedef double1 type;};
|
||||
template<> struct TAccPixWeighted<float3> {typedef double3 type;};
|
||||
template<> struct TAccPixWeighted<float4> {typedef double4 type;};
|
||||
|
||||
template<typename Tfrom> struct TAccPixDist {};
|
||||
template<> struct TAccPixDist<uchar1> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<uchar3> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<uchar4> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<ushort1> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<ushort3> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<ushort4> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<float1> {typedef Ncv32f type;};
|
||||
template<> struct TAccPixDist<float3> {typedef Ncv32f type;};
|
||||
template<> struct TAccPixDist<float4> {typedef Ncv32f type;};
|
||||
|
||||
#endif //_ncv_pixel_operations_hpp_
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
#ifndef _ncv_pixel_operations_hpp_
|
||||
#define _ncv_pixel_operations_hpp_
|
||||
|
||||
#include <limits.h>
|
||||
#include <float.h>
|
||||
#include "NCV.hpp"
|
||||
|
||||
template<typename TBase> inline __host__ __device__ TBase _pixMaxVal();
|
||||
template<> static inline __host__ __device__ Ncv8u _pixMaxVal<Ncv8u>() {return UCHAR_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv16u _pixMaxVal<Ncv16u>() {return USHRT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv32u _pixMaxVal<Ncv32u>() {return UINT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv8s _pixMaxVal<Ncv8s>() {return CHAR_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv16s _pixMaxVal<Ncv16s>() {return SHRT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv32s _pixMaxVal<Ncv32s>() {return INT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv32f _pixMaxVal<Ncv32f>() {return FLT_MAX;}
|
||||
template<> static inline __host__ __device__ Ncv64f _pixMaxVal<Ncv64f>() {return DBL_MAX;}
|
||||
|
||||
template<typename TBase> inline __host__ __device__ TBase _pixMinVal();
|
||||
template<> static inline __host__ __device__ Ncv8u _pixMinVal<Ncv8u>() {return 0;}
|
||||
template<> static inline __host__ __device__ Ncv16u _pixMinVal<Ncv16u>() {return 0;}
|
||||
template<> static inline __host__ __device__ Ncv32u _pixMinVal<Ncv32u>() {return 0;}
|
||||
template<> static inline __host__ __device__ Ncv8s _pixMinVal<Ncv8s>() {return CHAR_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv16s _pixMinVal<Ncv16s>() {return SHRT_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv32s _pixMinVal<Ncv32s>() {return INT_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv32f _pixMinVal<Ncv32f>() {return FLT_MIN;}
|
||||
template<> static inline __host__ __device__ Ncv64f _pixMinVal<Ncv64f>() {return DBL_MIN;}
|
||||
|
||||
template<typename Tvec> struct TConvVec2Base;
|
||||
template<> struct TConvVec2Base<uchar1> {typedef Ncv8u TBase;};
|
||||
template<> struct TConvVec2Base<uchar3> {typedef Ncv8u TBase;};
|
||||
template<> struct TConvVec2Base<uchar4> {typedef Ncv8u TBase;};
|
||||
template<> struct TConvVec2Base<ushort1> {typedef Ncv16u TBase;};
|
||||
template<> struct TConvVec2Base<ushort3> {typedef Ncv16u TBase;};
|
||||
template<> struct TConvVec2Base<ushort4> {typedef Ncv16u TBase;};
|
||||
template<> struct TConvVec2Base<uint1> {typedef Ncv32u TBase;};
|
||||
template<> struct TConvVec2Base<uint3> {typedef Ncv32u TBase;};
|
||||
template<> struct TConvVec2Base<uint4> {typedef Ncv32u TBase;};
|
||||
template<> struct TConvVec2Base<float1> {typedef Ncv32f TBase;};
|
||||
template<> struct TConvVec2Base<float3> {typedef Ncv32f TBase;};
|
||||
template<> struct TConvVec2Base<float4> {typedef Ncv32f TBase;};
|
||||
template<> struct TConvVec2Base<double1> {typedef Ncv64f TBase;};
|
||||
template<> struct TConvVec2Base<double3> {typedef Ncv64f TBase;};
|
||||
template<> struct TConvVec2Base<double4> {typedef Ncv64f TBase;};
|
||||
|
||||
#define NC(T) (sizeof(T) / sizeof(TConvVec2Base<T>::TBase))
|
||||
|
||||
template<typename TBase, Ncv32u NC> struct TConvBase2Vec;
|
||||
template<> struct TConvBase2Vec<Ncv8u, 1> {typedef uchar1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv8u, 3> {typedef uchar3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv8u, 4> {typedef uchar4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv16u, 1> {typedef ushort1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv16u, 3> {typedef ushort3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv16u, 4> {typedef ushort4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32u, 1> {typedef uint1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32u, 3> {typedef uint3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32u, 4> {typedef uint4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32f, 1> {typedef float1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32f, 3> {typedef float3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv32f, 4> {typedef float4 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv64f, 1> {typedef double1 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv64f, 3> {typedef double3 TVec;};
|
||||
template<> struct TConvBase2Vec<Ncv64f, 4> {typedef double4 TVec;};
|
||||
|
||||
//TODO: consider using CUDA intrinsics to avoid branching
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv8u &out) {out = (Ncv8u)CLAMP_0_255(a);};
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv16u &out) {out = (Ncv16u)CLAMP(a, 0, USHRT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv32u &out) {out = (Ncv32u)CLAMP(a, 0, UINT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampZ(Tin &a, Ncv32f &out) {out = (Ncv32f)a;}
|
||||
|
||||
//TODO: consider using CUDA intrinsics to avoid branching
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv8u &out) {out = (Ncv8u)CLAMP_0_255(a+0.5f);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv16u &out) {out = (Ncv16u)CLAMP(a+0.5f, 0, USHRT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv32u &out) {out = (Ncv32u)CLAMP(a+0.5f, 0, UINT_MAX);}
|
||||
template<typename Tin> static inline __host__ __device__ void _TDemoteClampNN(Tin &a, Ncv32f &out) {out = (Ncv32f)a;}
|
||||
|
||||
template<typename Tout> inline Tout _pixMakeZero();
|
||||
template<> static inline __host__ __device__ uchar1 _pixMakeZero<uchar1>() {return make_uchar1(0);}
|
||||
template<> static inline __host__ __device__ uchar3 _pixMakeZero<uchar3>() {return make_uchar3(0,0,0);}
|
||||
template<> static inline __host__ __device__ uchar4 _pixMakeZero<uchar4>() {return make_uchar4(0,0,0,0);}
|
||||
template<> static inline __host__ __device__ ushort1 _pixMakeZero<ushort1>() {return make_ushort1(0);}
|
||||
template<> static inline __host__ __device__ ushort3 _pixMakeZero<ushort3>() {return make_ushort3(0,0,0);}
|
||||
template<> static inline __host__ __device__ ushort4 _pixMakeZero<ushort4>() {return make_ushort4(0,0,0,0);}
|
||||
template<> static inline __host__ __device__ uint1 _pixMakeZero<uint1>() {return make_uint1(0);}
|
||||
template<> static inline __host__ __device__ uint3 _pixMakeZero<uint3>() {return make_uint3(0,0,0);}
|
||||
template<> static inline __host__ __device__ uint4 _pixMakeZero<uint4>() {return make_uint4(0,0,0,0);}
|
||||
template<> static inline __host__ __device__ float1 _pixMakeZero<float1>() {return make_float1(0.f);}
|
||||
template<> static inline __host__ __device__ float3 _pixMakeZero<float3>() {return make_float3(0.f,0.f,0.f);}
|
||||
template<> static inline __host__ __device__ float4 _pixMakeZero<float4>() {return make_float4(0.f,0.f,0.f,0.f);}
|
||||
template<> static inline __host__ __device__ double1 _pixMakeZero<double1>() {return make_double1(0.);}
|
||||
template<> static inline __host__ __device__ double3 _pixMakeZero<double3>() {return make_double3(0.,0.,0.);}
|
||||
template<> static inline __host__ __device__ double4 _pixMakeZero<double4>() {return make_double4(0.,0.,0.,0.);}
|
||||
|
||||
static inline __host__ __device__ uchar1 _pixMake(Ncv8u x) {return make_uchar1(x);}
|
||||
static inline __host__ __device__ uchar3 _pixMake(Ncv8u x, Ncv8u y, Ncv8u z) {return make_uchar3(x,y,z);}
|
||||
static inline __host__ __device__ uchar4 _pixMake(Ncv8u x, Ncv8u y, Ncv8u z, Ncv8u w) {return make_uchar4(x,y,z,w);}
|
||||
static inline __host__ __device__ ushort1 _pixMake(Ncv16u x) {return make_ushort1(x);}
|
||||
static inline __host__ __device__ ushort3 _pixMake(Ncv16u x, Ncv16u y, Ncv16u z) {return make_ushort3(x,y,z);}
|
||||
static inline __host__ __device__ ushort4 _pixMake(Ncv16u x, Ncv16u y, Ncv16u z, Ncv16u w) {return make_ushort4(x,y,z,w);}
|
||||
static inline __host__ __device__ uint1 _pixMake(Ncv32u x) {return make_uint1(x);}
|
||||
static inline __host__ __device__ uint3 _pixMake(Ncv32u x, Ncv32u y, Ncv32u z) {return make_uint3(x,y,z);}
|
||||
static inline __host__ __device__ uint4 _pixMake(Ncv32u x, Ncv32u y, Ncv32u z, Ncv32u w) {return make_uint4(x,y,z,w);}
|
||||
static inline __host__ __device__ float1 _pixMake(Ncv32f x) {return make_float1(x);}
|
||||
static inline __host__ __device__ float3 _pixMake(Ncv32f x, Ncv32f y, Ncv32f z) {return make_float3(x,y,z);}
|
||||
static inline __host__ __device__ float4 _pixMake(Ncv32f x, Ncv32f y, Ncv32f z, Ncv32f w) {return make_float4(x,y,z,w);}
|
||||
static inline __host__ __device__ double1 _pixMake(Ncv64f x) {return make_double1(x);}
|
||||
static inline __host__ __device__ double3 _pixMake(Ncv64f x, Ncv64f y, Ncv64f z) {return make_double3(x,y,z);}
|
||||
static inline __host__ __device__ double4 _pixMake(Ncv64f x, Ncv64f y, Ncv64f z, Ncv64f w) {return make_double4(x,y,z,w);}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixDemoteClampZ_CN {static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampZ_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampZ(pix.x, out.x);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampZ_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampZ(pix.x, out.x);
|
||||
_TDemoteClampZ(pix.y, out.y);
|
||||
_TDemoteClampZ(pix.z, out.z);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampZ_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixDemoteClampZ_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampZ(pix.x, out.x);
|
||||
_TDemoteClampZ(pix.y, out.y);
|
||||
_TDemoteClampZ(pix.z, out.z);
|
||||
_TDemoteClampZ(pix.w, out.w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static inline __host__ __device__ Tout _pixDemoteClampZ(Tin &pix)
|
||||
{
|
||||
return __pixDemoteClampZ_CN<Tin, Tout, NC(Tin)>::_pixDemoteClampZ_CN(pix);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixDemoteClampNN_CN {static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampNN_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampNN(pix.x, out.x);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampNN_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampNN(pix.x, out.x);
|
||||
_TDemoteClampNN(pix.y, out.y);
|
||||
_TDemoteClampNN(pix.z, out.z);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDemoteClampNN_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixDemoteClampNN_CN(Tin &pix)
|
||||
{
|
||||
Tout out;
|
||||
_TDemoteClampNN(pix.x, out.x);
|
||||
_TDemoteClampNN(pix.y, out.y);
|
||||
_TDemoteClampNN(pix.z, out.z);
|
||||
_TDemoteClampNN(pix.w, out.w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static inline __host__ __device__ Tout _pixDemoteClampNN(Tin &pix)
|
||||
{
|
||||
return __pixDemoteClampNN_CN<Tin, Tout, NC(Tin)>::_pixDemoteClampNN_CN(pix);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw, Ncv32u CN> struct __pixScale_CN {static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w);};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> struct __pixScale_CN<Tin, Tout, Tw, 1> {
|
||||
static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w)
|
||||
{
|
||||
Tout out;
|
||||
typedef typename TConvVec2Base<Tout>::TBase TBout;
|
||||
out.x = (TBout)(pix.x * w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> struct __pixScale_CN<Tin, Tout, Tw, 3> {
|
||||
static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w)
|
||||
{
|
||||
Tout out;
|
||||
typedef typename TConvVec2Base<Tout>::TBase TBout;
|
||||
out.x = (TBout)(pix.x * w);
|
||||
out.y = (TBout)(pix.y * w);
|
||||
out.z = (TBout)(pix.z * w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> struct __pixScale_CN<Tin, Tout, Tw, 4> {
|
||||
static __host__ __device__ Tout _pixScale_CN(Tin &pix, Tw w)
|
||||
{
|
||||
Tout out;
|
||||
typedef typename TConvVec2Base<Tout>::TBase TBout;
|
||||
out.x = (TBout)(pix.x * w);
|
||||
out.y = (TBout)(pix.y * w);
|
||||
out.z = (TBout)(pix.z * w);
|
||||
out.w = (TBout)(pix.w * w);
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout, typename Tw> static __host__ __device__ Tout _pixScale(Tin &pix, Tw w)
|
||||
{
|
||||
return __pixScale_CN<Tin, Tout, Tw, NC(Tin)>::_pixScale_CN(pix, w);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixAdd_CN {static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixAdd_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
Tout out;
|
||||
out.x = pix1.x + pix2.x;
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixAdd_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
Tout out;
|
||||
out.x = pix1.x + pix2.x;
|
||||
out.y = pix1.y + pix2.y;
|
||||
out.z = pix1.z + pix2.z;
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixAdd_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixAdd_CN(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
Tout out;
|
||||
out.x = pix1.x + pix2.x;
|
||||
out.y = pix1.y + pix2.y;
|
||||
out.z = pix1.z + pix2.z;
|
||||
out.w = pix1.w + pix2.w;
|
||||
return out;
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static __host__ __device__ Tout _pixAdd(Tout &pix1, Tin &pix2)
|
||||
{
|
||||
return __pixAdd_CN<Tin, Tout, NC(Tin)>::_pixAdd_CN(pix1, pix2);
|
||||
}
|
||||
|
||||
|
||||
template<typename Tin, typename Tout, Ncv32u CN> struct __pixDist_CN {static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2);};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDist_CN<Tin, Tout, 1> {
|
||||
static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return Tout(SQR(pix1.x - pix2.x));
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDist_CN<Tin, Tout, 3> {
|
||||
static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return Tout(SQR(pix1.x - pix2.x) + SQR(pix1.y - pix2.y) + SQR(pix1.z - pix2.z));
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> struct __pixDist_CN<Tin, Tout, 4> {
|
||||
static __host__ __device__ Tout _pixDist_CN(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return Tout(SQR(pix1.x - pix2.x) + SQR(pix1.y - pix2.y) + SQR(pix1.z - pix2.z) + SQR(pix1.w - pix2.w));
|
||||
}};
|
||||
|
||||
template<typename Tin, typename Tout> static __host__ __device__ Tout _pixDist(Tin &pix1, Tin &pix2)
|
||||
{
|
||||
return __pixDist_CN<Tin, Tout, NC(Tin)>::_pixDist_CN(pix1, pix2);
|
||||
}
|
||||
|
||||
|
||||
template <typename T> struct TAccPixWeighted;
|
||||
template<> struct TAccPixWeighted<uchar1> {typedef double1 type;};
|
||||
template<> struct TAccPixWeighted<uchar3> {typedef double3 type;};
|
||||
template<> struct TAccPixWeighted<uchar4> {typedef double4 type;};
|
||||
template<> struct TAccPixWeighted<ushort1> {typedef double1 type;};
|
||||
template<> struct TAccPixWeighted<ushort3> {typedef double3 type;};
|
||||
template<> struct TAccPixWeighted<ushort4> {typedef double4 type;};
|
||||
template<> struct TAccPixWeighted<float1> {typedef double1 type;};
|
||||
template<> struct TAccPixWeighted<float3> {typedef double3 type;};
|
||||
template<> struct TAccPixWeighted<float4> {typedef double4 type;};
|
||||
|
||||
template<typename Tfrom> struct TAccPixDist {};
|
||||
template<> struct TAccPixDist<uchar1> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<uchar3> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<uchar4> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<ushort1> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<ushort3> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<ushort4> {typedef Ncv32u type;};
|
||||
template<> struct TAccPixDist<float1> {typedef Ncv32f type;};
|
||||
template<> struct TAccPixDist<float3> {typedef Ncv32f type;};
|
||||
template<> struct TAccPixDist<float4> {typedef Ncv32f type;};
|
||||
|
||||
#endif //_ncv_pixel_operations_hpp_
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,99 +1,99 @@
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
|
||||
#ifndef _ncvpyramid_hpp_
|
||||
#define _ncvpyramid_hpp_
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
#include "NCV.hpp"
|
||||
|
||||
#if 0 //def _WIN32
|
||||
|
||||
template <class T>
|
||||
class NCV_EXPORTS NCVMatrixStack
|
||||
{
|
||||
public:
|
||||
NCVMatrixStack() {this->_arr.clear();}
|
||||
~NCVMatrixStack()
|
||||
{
|
||||
const Ncv32u nElem = this->_arr.size();
|
||||
for (Ncv32u i=0; i<nElem; i++)
|
||||
{
|
||||
pop_back();
|
||||
}
|
||||
}
|
||||
void push_back(NCVMatrix<T> *elem) {this->_arr.push_back(std::tr1::shared_ptr< NCVMatrix<T> >(elem));}
|
||||
void pop_back() {this->_arr.pop_back();}
|
||||
NCVMatrix<T> * operator [] (int i) const {return this->_arr[i].get();}
|
||||
private:
|
||||
std::vector< std::tr1::shared_ptr< NCVMatrix<T> > > _arr;
|
||||
};
|
||||
|
||||
|
||||
template <class T>
|
||||
class NCV_EXPORTS NCVImagePyramid
|
||||
{
|
||||
public:
|
||||
|
||||
NCVImagePyramid(const NCVMatrix<T> &img,
|
||||
Ncv8u nLayers,
|
||||
INCVMemAllocator &alloc,
|
||||
cudaStream_t cuStream);
|
||||
~NCVImagePyramid();
|
||||
NcvBool isInitialized() const;
|
||||
NCVStatus getLayer(NCVMatrix<T> &outImg,
|
||||
NcvSize32u outRoi,
|
||||
NcvBool bTrilinear,
|
||||
cudaStream_t cuStream) const;
|
||||
|
||||
private:
|
||||
|
||||
NcvBool _isInitialized;
|
||||
const NCVMatrix<T> *layer0;
|
||||
NCVMatrixStack<T> pyramid;
|
||||
Ncv32u nLayers;
|
||||
};
|
||||
|
||||
#endif //_WIN32
|
||||
|
||||
#endif //_ncvpyramid_hpp_
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
|
||||
#ifndef _ncvpyramid_hpp_
|
||||
#define _ncvpyramid_hpp_
|
||||
|
||||
#include <memory>
|
||||
#include <vector>
|
||||
#include "NCV.hpp"
|
||||
|
||||
#if 0 //def _WIN32
|
||||
|
||||
template <class T>
|
||||
class NCV_EXPORTS NCVMatrixStack
|
||||
{
|
||||
public:
|
||||
NCVMatrixStack() {this->_arr.clear();}
|
||||
~NCVMatrixStack()
|
||||
{
|
||||
const Ncv32u nElem = this->_arr.size();
|
||||
for (Ncv32u i=0; i<nElem; i++)
|
||||
{
|
||||
pop_back();
|
||||
}
|
||||
}
|
||||
void push_back(NCVMatrix<T> *elem) {this->_arr.push_back(std::tr1::shared_ptr< NCVMatrix<T> >(elem));}
|
||||
void pop_back() {this->_arr.pop_back();}
|
||||
NCVMatrix<T> * operator [] (int i) const {return this->_arr[i].get();}
|
||||
private:
|
||||
std::vector< std::tr1::shared_ptr< NCVMatrix<T> > > _arr;
|
||||
};
|
||||
|
||||
|
||||
template <class T>
|
||||
class NCV_EXPORTS NCVImagePyramid
|
||||
{
|
||||
public:
|
||||
|
||||
NCVImagePyramid(const NCVMatrix<T> &img,
|
||||
Ncv8u nLayers,
|
||||
INCVMemAllocator &alloc,
|
||||
cudaStream_t cuStream);
|
||||
~NCVImagePyramid();
|
||||
NcvBool isInitialized() const;
|
||||
NCVStatus getLayer(NCVMatrix<T> &outImg,
|
||||
NcvSize32u outRoi,
|
||||
NcvBool bTrilinear,
|
||||
cudaStream_t cuStream) const;
|
||||
|
||||
private:
|
||||
|
||||
NcvBool _isInitialized;
|
||||
const NCVMatrix<T> *layer0;
|
||||
NCVMatrixStack<T> pyramid;
|
||||
Ncv32u nLayers;
|
||||
};
|
||||
|
||||
#endif //_WIN32
|
||||
|
||||
#endif //_ncvpyramid_hpp_
|
||||
|
||||
@@ -1,220 +1,220 @@
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
#ifndef _ncvruntimetemplates_hpp_
|
||||
#define _ncvruntimetemplates_hpp_
|
||||
#if defined _MSC_VER &&_MSC_VER >= 1200
|
||||
#pragma warning( disable: 4800 )
|
||||
#endif
|
||||
|
||||
|
||||
#include <stdarg.h>
|
||||
#include <vector>
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// The Loki Library
|
||||
// Copyright (c) 2001 by Andrei Alexandrescu
|
||||
// This code accompanies the book:
|
||||
// Alexandrescu, Andrei. "Modern C++ Design: Generic Programming and Design
|
||||
// Patterns Applied". Copyright (c) 2001. Addison-Wesley.
|
||||
// Permission to use, copy, modify, distribute and sell this software for any
|
||||
// purpose is hereby granted without fee, provided that the above copyright
|
||||
// notice appear in all copies and that both that copyright notice and this
|
||||
// permission notice appear in supporting documentation.
|
||||
// The author or Addison-Welsey Longman make no representations about the
|
||||
// suitability of this software for any purpose. It is provided "as is"
|
||||
// without express or implied warranty.
|
||||
// http://loki-lib.sourceforge.net/index.php?n=Main.License
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
namespace Loki
|
||||
{
|
||||
//==============================================================================
|
||||
// class NullType
|
||||
// Used as a placeholder for "no type here"
|
||||
// Useful as an end marker in typelists
|
||||
//==============================================================================
|
||||
|
||||
class NullType {};
|
||||
|
||||
//==============================================================================
|
||||
// class template Typelist
|
||||
// The building block of typelists of any length
|
||||
// Use it through the LOKI_TYPELIST_NN macros
|
||||
// Defines nested types:
|
||||
// Head (first element, a non-typelist type by convention)
|
||||
// Tail (second element, can be another typelist)
|
||||
//==============================================================================
|
||||
|
||||
template <class T, class U>
|
||||
struct Typelist
|
||||
{
|
||||
typedef T Head;
|
||||
typedef U Tail;
|
||||
};
|
||||
|
||||
//==============================================================================
|
||||
// class template Int2Type
|
||||
// Converts each integral constant into a unique type
|
||||
// Invocation: Int2Type<v> where v is a compile-time constant integral
|
||||
// Defines 'value', an enum that evaluates to v
|
||||
//==============================================================================
|
||||
|
||||
template <int v>
|
||||
struct Int2Type
|
||||
{
|
||||
enum { value = v };
|
||||
};
|
||||
|
||||
namespace TL
|
||||
{
|
||||
//==============================================================================
|
||||
// class template TypeAt
|
||||
// Finds the type at a given index in a typelist
|
||||
// Invocation (TList is a typelist and index is a compile-time integral
|
||||
// constant):
|
||||
// TypeAt<TList, index>::Result
|
||||
// returns the type in position 'index' in TList
|
||||
// If you pass an out-of-bounds index, the result is a compile-time error
|
||||
//==============================================================================
|
||||
|
||||
template <class TList, unsigned int index> struct TypeAt;
|
||||
|
||||
template <class Head, class Tail>
|
||||
struct TypeAt<Typelist<Head, Tail>, 0>
|
||||
{
|
||||
typedef Head Result;
|
||||
};
|
||||
|
||||
template <class Head, class Tail, unsigned int i>
|
||||
struct TypeAt<Typelist<Head, Tail>, i>
|
||||
{
|
||||
typedef typename TypeAt<Tail, i - 1>::Result Result;
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Runtime boolean template instance dispatcher
|
||||
// Cyril Crassin <cyril.crassin@icare3d.org>
|
||||
// NVIDIA, 2010
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
namespace NCVRuntimeTemplateBool
|
||||
{
|
||||
//This struct is used to transform a list of parameters into template arguments
|
||||
//The idea is to build a typelist containing the arguments
|
||||
//and to pass this typelist to a user defined functor
|
||||
template<typename TList, int NumArguments, class Func>
|
||||
struct KernelCaller
|
||||
{
|
||||
//Convenience function used by the user
|
||||
//Takes a variable argument list, transforms it into a list
|
||||
static void call(Func *functor, ...)
|
||||
{
|
||||
//Vector used to collect arguments
|
||||
std::vector<int> templateParamList;
|
||||
|
||||
//Variable argument list manipulation
|
||||
va_list listPointer;
|
||||
va_start(listPointer, functor);
|
||||
//Collect parameters into the list
|
||||
for(int i=0; i<NumArguments; i++)
|
||||
{
|
||||
int val = va_arg(listPointer, int);
|
||||
templateParamList.push_back(val);
|
||||
}
|
||||
va_end(listPointer);
|
||||
|
||||
//Call the actual typelist building function
|
||||
call(*functor, templateParamList);
|
||||
}
|
||||
|
||||
//Actual function called recursively to build a typelist based
|
||||
//on a list of values
|
||||
static void call( Func &functor, std::vector<int> &templateParamList)
|
||||
{
|
||||
//Get current parameter value in the list
|
||||
NcvBool val = templateParamList[templateParamList.size() - 1];
|
||||
templateParamList.pop_back();
|
||||
|
||||
//Select the compile time value to add into the typelist
|
||||
//depending on the runtime variable and make recursive call.
|
||||
//Both versions are really instantiated
|
||||
if (val)
|
||||
{
|
||||
KernelCaller<
|
||||
Loki::Typelist<typename Loki::Int2Type<1>, TList >,
|
||||
NumArguments-1, Func >
|
||||
::call(functor, templateParamList);
|
||||
}
|
||||
else
|
||||
{
|
||||
KernelCaller<
|
||||
Loki::Typelist<typename Loki::Int2Type<0>, TList >,
|
||||
NumArguments-1, Func >
|
||||
::call(functor, templateParamList);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
//Specialization for 0 value left in the list
|
||||
//-> actual kernel functor call
|
||||
template<class TList, class Func>
|
||||
struct KernelCaller<TList, 0, Func>
|
||||
{
|
||||
static void call(Func &functor)
|
||||
{
|
||||
//Call to the functor's kernel call method
|
||||
functor.call(TList()); //TList instantiated to get the method template parameter resolved
|
||||
}
|
||||
|
||||
static void call(Func &functor, std::vector<int> &templateParams)
|
||||
{
|
||||
(void)templateParams;
|
||||
functor.call(TList());
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
#endif //_ncvruntimetemplates_hpp_
|
||||
/*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) 2009-2010, NVIDIA Corporation, 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*/
|
||||
|
||||
#ifndef _ncvruntimetemplates_hpp_
|
||||
#define _ncvruntimetemplates_hpp_
|
||||
#if defined _MSC_VER &&_MSC_VER >= 1200
|
||||
#pragma warning( disable: 4800 )
|
||||
#endif
|
||||
|
||||
|
||||
#include <stdarg.h>
|
||||
#include <vector>
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// The Loki Library
|
||||
// Copyright (c) 2001 by Andrei Alexandrescu
|
||||
// This code accompanies the book:
|
||||
// Alexandrescu, Andrei. "Modern C++ Design: Generic Programming and Design
|
||||
// Patterns Applied". Copyright (c) 2001. Addison-Wesley.
|
||||
// Permission to use, copy, modify, distribute and sell this software for any
|
||||
// purpose is hereby granted without fee, provided that the above copyright
|
||||
// notice appear in all copies and that both that copyright notice and this
|
||||
// permission notice appear in supporting documentation.
|
||||
// The author or Addison-Welsey Longman make no representations about the
|
||||
// suitability of this software for any purpose. It is provided "as is"
|
||||
// without express or implied warranty.
|
||||
// http://loki-lib.sourceforge.net/index.php?n=Main.License
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
namespace Loki
|
||||
{
|
||||
//==============================================================================
|
||||
// class NullType
|
||||
// Used as a placeholder for "no type here"
|
||||
// Useful as an end marker in typelists
|
||||
//==============================================================================
|
||||
|
||||
class NullType {};
|
||||
|
||||
//==============================================================================
|
||||
// class template Typelist
|
||||
// The building block of typelists of any length
|
||||
// Use it through the LOKI_TYPELIST_NN macros
|
||||
// Defines nested types:
|
||||
// Head (first element, a non-typelist type by convention)
|
||||
// Tail (second element, can be another typelist)
|
||||
//==============================================================================
|
||||
|
||||
template <class T, class U>
|
||||
struct Typelist
|
||||
{
|
||||
typedef T Head;
|
||||
typedef U Tail;
|
||||
};
|
||||
|
||||
//==============================================================================
|
||||
// class template Int2Type
|
||||
// Converts each integral constant into a unique type
|
||||
// Invocation: Int2Type<v> where v is a compile-time constant integral
|
||||
// Defines 'value', an enum that evaluates to v
|
||||
//==============================================================================
|
||||
|
||||
template <int v>
|
||||
struct Int2Type
|
||||
{
|
||||
enum { value = v };
|
||||
};
|
||||
|
||||
namespace TL
|
||||
{
|
||||
//==============================================================================
|
||||
// class template TypeAt
|
||||
// Finds the type at a given index in a typelist
|
||||
// Invocation (TList is a typelist and index is a compile-time integral
|
||||
// constant):
|
||||
// TypeAt<TList, index>::Result
|
||||
// returns the type in position 'index' in TList
|
||||
// If you pass an out-of-bounds index, the result is a compile-time error
|
||||
//==============================================================================
|
||||
|
||||
template <class TList, unsigned int index> struct TypeAt;
|
||||
|
||||
template <class Head, class Tail>
|
||||
struct TypeAt<Typelist<Head, Tail>, 0>
|
||||
{
|
||||
typedef Head Result;
|
||||
};
|
||||
|
||||
template <class Head, class Tail, unsigned int i>
|
||||
struct TypeAt<Typelist<Head, Tail>, i>
|
||||
{
|
||||
typedef typename TypeAt<Tail, i - 1>::Result Result;
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Runtime boolean template instance dispatcher
|
||||
// Cyril Crassin <cyril.crassin@icare3d.org>
|
||||
// NVIDIA, 2010
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
namespace NCVRuntimeTemplateBool
|
||||
{
|
||||
//This struct is used to transform a list of parameters into template arguments
|
||||
//The idea is to build a typelist containing the arguments
|
||||
//and to pass this typelist to a user defined functor
|
||||
template<typename TList, int NumArguments, class Func>
|
||||
struct KernelCaller
|
||||
{
|
||||
//Convenience function used by the user
|
||||
//Takes a variable argument list, transforms it into a list
|
||||
static void call(Func *functor, ...)
|
||||
{
|
||||
//Vector used to collect arguments
|
||||
std::vector<int> templateParamList;
|
||||
|
||||
//Variable argument list manipulation
|
||||
va_list listPointer;
|
||||
va_start(listPointer, functor);
|
||||
//Collect parameters into the list
|
||||
for(int i=0; i<NumArguments; i++)
|
||||
{
|
||||
int val = va_arg(listPointer, int);
|
||||
templateParamList.push_back(val);
|
||||
}
|
||||
va_end(listPointer);
|
||||
|
||||
//Call the actual typelist building function
|
||||
call(*functor, templateParamList);
|
||||
}
|
||||
|
||||
//Actual function called recursively to build a typelist based
|
||||
//on a list of values
|
||||
static void call( Func &functor, std::vector<int> &templateParamList)
|
||||
{
|
||||
//Get current parameter value in the list
|
||||
NcvBool val = templateParamList[templateParamList.size() - 1];
|
||||
templateParamList.pop_back();
|
||||
|
||||
//Select the compile time value to add into the typelist
|
||||
//depending on the runtime variable and make recursive call.
|
||||
//Both versions are really instantiated
|
||||
if (val)
|
||||
{
|
||||
KernelCaller<
|
||||
Loki::Typelist<typename Loki::Int2Type<1>, TList >,
|
||||
NumArguments-1, Func >
|
||||
::call(functor, templateParamList);
|
||||
}
|
||||
else
|
||||
{
|
||||
KernelCaller<
|
||||
Loki::Typelist<typename Loki::Int2Type<0>, TList >,
|
||||
NumArguments-1, Func >
|
||||
::call(functor, templateParamList);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
//Specialization for 0 value left in the list
|
||||
//-> actual kernel functor call
|
||||
template<class TList, class Func>
|
||||
struct KernelCaller<TList, 0, Func>
|
||||
{
|
||||
static void call(Func &functor)
|
||||
{
|
||||
//Call to the functor's kernel call method
|
||||
functor.call(TList()); //TList instantiated to get the method template parameter resolved
|
||||
}
|
||||
|
||||
static void call(Func &functor, std::vector<int> &templateParams)
|
||||
{
|
||||
(void)templateParams;
|
||||
functor.call(TList());
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
#endif //_ncvruntimetemplates_hpp_
|
||||
|
||||
Reference in New Issue
Block a user