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opencv/modules/imgproc/src/accum.cpp

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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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2014, Itseez 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
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// 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,
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//M*/
#include "precomp.hpp"
#include "opencl_kernels_imgproc.hpp"
#include "opencv2/core/hal/intrin.hpp"
#define CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
#include "accum.simd.hpp"
#include "accum.simd_declarations.hpp"
#include "opencv2/core/openvx/ovx_defs.hpp"
namespace cv
{
typedef void(*AccFunc)(const uchar*, uchar*, const uchar*, int, int);
typedef void(*AccProdFunc)(const uchar*, const uchar*, uchar*, const uchar*, int, int);
typedef void(*AccWFunc)(const uchar*, uchar*, const uchar*, int, int, double);
static AccFunc accTab[] =
{
(AccFunc)acc_8u32f, (AccFunc)acc_8u64f,
(AccFunc)acc_16u32f, (AccFunc)acc_16u64f,
(AccFunc)acc_32f, (AccFunc)acc_32f64f,
(AccFunc)acc_64f
};
static AccFunc accSqrTab[] =
{
(AccFunc)accSqr_8u32f, (AccFunc)accSqr_8u64f,
(AccFunc)accSqr_16u32f, (AccFunc)accSqr_16u64f,
(AccFunc)accSqr_32f, (AccFunc)accSqr_32f64f,
(AccFunc)accSqr_64f
};
static AccProdFunc accProdTab[] =
{
(AccProdFunc)accProd_8u32f, (AccProdFunc)accProd_8u64f,
(AccProdFunc)accProd_16u32f, (AccProdFunc)accProd_16u64f,
(AccProdFunc)accProd_32f, (AccProdFunc)accProd_32f64f,
(AccProdFunc)accProd_64f
};
static AccWFunc accWTab[] =
{
(AccWFunc)accW_8u32f, (AccWFunc)accW_8u64f,
(AccWFunc)accW_16u32f, (AccWFunc)accW_16u64f,
(AccWFunc)accW_32f, (AccWFunc)accW_32f64f,
(AccWFunc)accW_64f
};
inline int getAccTabIdx(int sdepth, int ddepth)
{
return sdepth == CV_8U && ddepth == CV_32F ? 0 :
sdepth == CV_8U && ddepth == CV_64F ? 1 :
sdepth == CV_16U && ddepth == CV_32F ? 2 :
sdepth == CV_16U && ddepth == CV_64F ? 3 :
sdepth == CV_32F && ddepth == CV_32F ? 4 :
sdepth == CV_32F && ddepth == CV_64F ? 5 :
sdepth == CV_64F && ddepth == CV_64F ? 6 : -1;
}
#ifdef HAVE_OPENCL
enum
{
ACCUMULATE = 0,
ACCUMULATE_SQUARE = 1,
ACCUMULATE_PRODUCT = 2,
ACCUMULATE_WEIGHTED = 3
};
static bool ocl_accumulate( InputArray _src, InputArray _src2, InputOutputArray _dst, double alpha,
InputArray _mask, int op_type )
{
CV_Assert(op_type == ACCUMULATE || op_type == ACCUMULATE_SQUARE ||
op_type == ACCUMULATE_PRODUCT || op_type == ACCUMULATE_WEIGHTED);
const ocl::Device & dev = ocl::Device::getDefault();
bool haveMask = !_mask.empty(), doubleSupport = dev.doubleFPConfig() > 0;
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), cn = CV_MAT_CN(stype), ddepth = _dst.depth();
int kercn = haveMask ? cn : ocl::predictOptimalVectorWidthMax(_src, _src2, _dst), rowsPerWI = dev.isIntel() ? 4 : 1;
if (!doubleSupport && (sdepth == CV_64F || ddepth == CV_64F))
return false;
const char * const opMap[4] = { "ACCUMULATE", "ACCUMULATE_SQUARE", "ACCUMULATE_PRODUCT",
"ACCUMULATE_WEIGHTED" };
char cvt[40];
ocl::Kernel k("accumulate", ocl::imgproc::accumulate_oclsrc,
format("-D %s%s -D srcT1=%s -D cn=%d -D dstT1=%s%s -D rowsPerWI=%d -D convertToDT=%s",
opMap[op_type], haveMask ? " -D HAVE_MASK" : "",
ocl::typeToStr(sdepth), kercn, ocl::typeToStr(ddepth),
doubleSupport ? " -D DOUBLE_SUPPORT" : "", rowsPerWI,
ocl::convertTypeStr(sdepth, ddepth, 1, cvt)));
if (k.empty())
return false;
UMat src = _src.getUMat(), src2 = _src2.getUMat(), dst = _dst.getUMat(), mask = _mask.getUMat();
ocl::KernelArg srcarg = ocl::KernelArg::ReadOnlyNoSize(src),
src2arg = ocl::KernelArg::ReadOnlyNoSize(src2),
dstarg = ocl::KernelArg::ReadWrite(dst, cn, kercn),
maskarg = ocl::KernelArg::ReadOnlyNoSize(mask);
int argidx = k.set(0, srcarg);
if (op_type == ACCUMULATE_PRODUCT)
argidx = k.set(argidx, src2arg);
argidx = k.set(argidx, dstarg);
if (op_type == ACCUMULATE_WEIGHTED)
{
if (ddepth == CV_32F)
argidx = k.set(argidx, (float)alpha);
else
argidx = k.set(argidx, alpha);
}
if (haveMask)
k.set(argidx, maskarg);
size_t globalsize[2] = { (size_t)src.cols * cn / kercn, ((size_t)src.rows + rowsPerWI - 1) / rowsPerWI };
return k.run(2, globalsize, NULL, false);
}
#endif
}
#if defined(HAVE_IPP)
namespace cv
{
static bool ipp_accumulate(InputArray _src, InputOutputArray _dst, InputArray _mask)
{
CV_INSTRUMENT_REGION_IPP();
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype);
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
if (src.dims <= 2 || (src.isContinuous() && dst.isContinuous() && (mask.empty() || mask.isContinuous())))
{
typedef IppStatus (CV_STDCALL * IppiAdd)(const void * pSrc, int srcStep, Ipp32f * pSrcDst, int srcdstStep, IppiSize roiSize);
typedef IppStatus (CV_STDCALL * IppiAddMask)(const void * pSrc, int srcStep, const Ipp8u * pMask, int maskStep, Ipp32f * pSrcDst,
int srcDstStep, IppiSize roiSize);
IppiAdd ippiAdd_I = 0;
IppiAddMask ippiAdd_IM = 0;
if (mask.empty())
{
CV_SUPPRESS_DEPRECATED_START
ippiAdd_I = sdepth == CV_8U && ddepth == CV_32F ? (IppiAdd)ippiAdd_8u32f_C1IR :
sdepth == CV_16U && ddepth == CV_32F ? (IppiAdd)ippiAdd_16u32f_C1IR :
sdepth == CV_32F && ddepth == CV_32F ? (IppiAdd)ippiAdd_32f_C1IR : 0;
CV_SUPPRESS_DEPRECATED_END
}
else if (scn == 1)
{
ippiAdd_IM = sdepth == CV_8U && ddepth == CV_32F ? (IppiAddMask)ippiAdd_8u32f_C1IMR :
sdepth == CV_16U && ddepth == CV_32F ? (IppiAddMask)ippiAdd_16u32f_C1IMR :
sdepth == CV_32F && ddepth == CV_32F ? (IppiAddMask)ippiAdd_32f_C1IMR : 0;
}
if (ippiAdd_I || ippiAdd_IM)
{
IppStatus status = ippStsErr;
Size size = src.size();
int srcstep = (int)src.step, dststep = (int)dst.step, maskstep = (int)mask.step;
if (src.isContinuous() && dst.isContinuous() && mask.isContinuous())
{
srcstep = static_cast<int>(src.total() * src.elemSize());
dststep = static_cast<int>(dst.total() * dst.elemSize());
maskstep = static_cast<int>(mask.total() * mask.elemSize());
size.width = static_cast<int>(src.total());
size.height = 1;
}
size.width *= scn;
if (ippiAdd_I)
status = CV_INSTRUMENT_FUN_IPP(ippiAdd_I, src.ptr(), srcstep, dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height));
else if (ippiAdd_IM)
status = CV_INSTRUMENT_FUN_IPP(ippiAdd_IM, src.ptr(), srcstep, mask.ptr<Ipp8u>(), maskstep,
dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height));
if (status >= 0)
return true;
}
}
return false;
}
}
#endif
#ifdef HAVE_OPENVX
namespace cv
{
enum
{
VX_ACCUMULATE_OP = 0,
VX_ACCUMULATE_SQUARE_OP = 1,
VX_ACCUMULATE_WEIGHTED_OP = 2
};
namespace ovx {
template <> inline bool skipSmallImages<VX_KERNEL_ACCUMULATE>(int w, int h) { return w*h < 120 * 60; }
}
static bool openvx_accumulate(InputArray _src, InputOutputArray _dst, InputArray _mask, double _weight, int opType)
{
Mat srcMat = _src.getMat(), dstMat = _dst.getMat();
if (ovx::skipSmallImages<VX_KERNEL_ACCUMULATE>(srcMat.cols, srcMat.rows))
return false;
if(!_mask.empty() ||
(opType == VX_ACCUMULATE_WEIGHTED_OP && dstMat.type() != CV_8UC1 ) ||
(opType != VX_ACCUMULATE_WEIGHTED_OP && dstMat.type() != CV_16SC1 ) ||
srcMat.type() != CV_8UC1)
{
return false;
}
//TODO: handle different number of channels (channel extract && channel combine)
//TODO: handle mask (threshold mask to 0xff && bitwise AND with src)
//(both things can be done by creating a graph)
try
{
ivx::Context context = ovx::getOpenVXContext();
ivx::Image srcImage = ivx::Image::createFromHandle(context, ivx::Image::matTypeToFormat(srcMat.type()),
ivx::Image::createAddressing(srcMat), srcMat.data);
ivx::Image dstImage = ivx::Image::createFromHandle(context, ivx::Image::matTypeToFormat(dstMat.type()),
ivx::Image::createAddressing(dstMat), dstMat.data);
ivx::Scalar shift = ivx::Scalar::create<VX_TYPE_UINT32>(context, 0);
ivx::Scalar alpha = ivx::Scalar::create<VX_TYPE_FLOAT32>(context, _weight);
switch (opType)
{
case VX_ACCUMULATE_OP:
ivx::IVX_CHECK_STATUS(vxuAccumulateImage(context, srcImage, dstImage));
break;
case VX_ACCUMULATE_SQUARE_OP:
ivx::IVX_CHECK_STATUS(vxuAccumulateSquareImage(context, srcImage, shift, dstImage));
break;
case VX_ACCUMULATE_WEIGHTED_OP:
ivx::IVX_CHECK_STATUS(vxuAccumulateWeightedImage(context, srcImage, alpha, dstImage));
break;
default:
break;
}
#ifdef VX_VERSION_1_1
//we should take user memory back before release
//(it's not done automatically according to standard)
srcImage.swapHandle(); dstImage.swapHandle();
#endif
}
catch (const ivx::RuntimeError & e)
{
VX_DbgThrow(e.what());
}
catch (const ivx::WrapperError & e)
{
VX_DbgThrow(e.what());
}
return true;
}
}
#endif
void cv::accumulate( InputArray _src, InputOutputArray _dst, InputArray _mask )
{
CV_INSTRUMENT_REGION();
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype), dcn = CV_MAT_CN(dtype);
CV_Assert( _src.sameSize(_dst) && dcn == scn );
CV_Assert( _mask.empty() || (_src.sameSize(_mask) && _mask.type() == CV_8U) );
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
ocl_accumulate(_src, noArray(), _dst, 0.0, _mask, ACCUMULATE))
CV_IPP_RUN((_src.dims() <= 2 || (_src.isContinuous() && _dst.isContinuous() && (_mask.empty() || _mask.isContinuous()))),
ipp_accumulate(_src, _dst, _mask));
CV_OVX_RUN(_src.dims() <= 2,
openvx_accumulate(_src, _dst, _mask, 0.0, VX_ACCUMULATE_OP))
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
int fidx = getAccTabIdx(sdepth, ddepth);
AccFunc func = fidx >= 0 ? accTab[fidx] : 0;
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &dst, &mask, 0};
uchar* ptrs[3] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)it.size;
for( size_t i = 0; i < it.nplanes; i++, ++it )
func(ptrs[0], ptrs[1], ptrs[2], len, scn);
}
#if defined(HAVE_IPP)
namespace cv
{
static bool ipp_accumulate_square(InputArray _src, InputOutputArray _dst, InputArray _mask)
{
CV_INSTRUMENT_REGION_IPP();
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype);
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
if (src.dims <= 2 || (src.isContinuous() && dst.isContinuous() && (mask.empty() || mask.isContinuous())))
{
typedef IppStatus (CV_STDCALL * ippiAddSquare)(const void * pSrc, int srcStep, Ipp32f * pSrcDst, int srcdstStep, IppiSize roiSize);
typedef IppStatus (CV_STDCALL * ippiAddSquareMask)(const void * pSrc, int srcStep, const Ipp8u * pMask, int maskStep, Ipp32f * pSrcDst,
int srcDstStep, IppiSize roiSize);
ippiAddSquare ippiAddSquare_I = 0;
ippiAddSquareMask ippiAddSquare_IM = 0;
if (mask.empty())
{
ippiAddSquare_I = sdepth == CV_8U && ddepth == CV_32F ? (ippiAddSquare)ippiAddSquare_8u32f_C1IR :
sdepth == CV_16U && ddepth == CV_32F ? (ippiAddSquare)ippiAddSquare_16u32f_C1IR :
sdepth == CV_32F && ddepth == CV_32F ? (ippiAddSquare)ippiAddSquare_32f_C1IR : 0;
}
else if (scn == 1)
{
ippiAddSquare_IM = sdepth == CV_8U && ddepth == CV_32F ? (ippiAddSquareMask)ippiAddSquare_8u32f_C1IMR :
sdepth == CV_16U && ddepth == CV_32F ? (ippiAddSquareMask)ippiAddSquare_16u32f_C1IMR :
sdepth == CV_32F && ddepth == CV_32F ? (ippiAddSquareMask)ippiAddSquare_32f_C1IMR : 0;
}
if (ippiAddSquare_I || ippiAddSquare_IM)
{
IppStatus status = ippStsErr;
Size size = src.size();
int srcstep = (int)src.step, dststep = (int)dst.step, maskstep = (int)mask.step;
if (src.isContinuous() && dst.isContinuous() && mask.isContinuous())
{
srcstep = static_cast<int>(src.total() * src.elemSize());
dststep = static_cast<int>(dst.total() * dst.elemSize());
maskstep = static_cast<int>(mask.total() * mask.elemSize());
size.width = static_cast<int>(src.total());
size.height = 1;
}
size.width *= scn;
if (ippiAddSquare_I)
status = CV_INSTRUMENT_FUN_IPP(ippiAddSquare_I, src.ptr(), srcstep, dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height));
else if (ippiAddSquare_IM)
status = CV_INSTRUMENT_FUN_IPP(ippiAddSquare_IM, src.ptr(), srcstep, mask.ptr<Ipp8u>(), maskstep,
dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height));
if (status >= 0)
return true;
}
}
return false;
}
}
#endif
void cv::accumulateSquare( InputArray _src, InputOutputArray _dst, InputArray _mask )
{
CV_INSTRUMENT_REGION();
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype), dcn = CV_MAT_CN(dtype);
CV_Assert( _src.sameSize(_dst) && dcn == scn );
CV_Assert( _mask.empty() || (_src.sameSize(_mask) && _mask.type() == CV_8U) );
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
ocl_accumulate(_src, noArray(), _dst, 0.0, _mask, ACCUMULATE_SQUARE))
CV_IPP_RUN((_src.dims() <= 2 || (_src.isContinuous() && _dst.isContinuous() && (_mask.empty() || _mask.isContinuous()))),
ipp_accumulate_square(_src, _dst, _mask));
CV_OVX_RUN(_src.dims() <= 2,
openvx_accumulate(_src, _dst, _mask, 0.0, VX_ACCUMULATE_SQUARE_OP))
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
int fidx = getAccTabIdx(sdepth, ddepth);
AccFunc func = fidx >= 0 ? accSqrTab[fidx] : 0;
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &dst, &mask, 0};
uchar* ptrs[3] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)it.size;
for( size_t i = 0; i < it.nplanes; i++, ++it )
func(ptrs[0], ptrs[1], ptrs[2], len, scn);
}
#if defined(HAVE_IPP)
namespace cv
{
static bool ipp_accumulate_product(InputArray _src1, InputArray _src2,
InputOutputArray _dst, InputArray _mask)
{
CV_INSTRUMENT_REGION_IPP();
int stype = _src1.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype);
Mat src1 = _src1.getMat(), src2 = _src2.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
if (src1.dims <= 2 || (src1.isContinuous() && src2.isContinuous() && dst.isContinuous()))
{
typedef IppStatus (CV_STDCALL * ippiAddProduct)(const void * pSrc1, int src1Step, const void * pSrc2,
int src2Step, Ipp32f * pSrcDst, int srcDstStep, IppiSize roiSize);
typedef IppStatus (CV_STDCALL * ippiAddProductMask)(const void * pSrc1, int src1Step, const void * pSrc2, int src2Step,
const Ipp8u * pMask, int maskStep, Ipp32f * pSrcDst, int srcDstStep, IppiSize roiSize);
ippiAddProduct ippiAddProduct_I = 0;
ippiAddProductMask ippiAddProduct_IM = 0;
if (mask.empty())
{
ippiAddProduct_I = sdepth == CV_8U && ddepth == CV_32F ? (ippiAddProduct)ippiAddProduct_8u32f_C1IR :
sdepth == CV_16U && ddepth == CV_32F ? (ippiAddProduct)ippiAddProduct_16u32f_C1IR :
sdepth == CV_32F && ddepth == CV_32F ? (ippiAddProduct)ippiAddProduct_32f_C1IR : 0;
}
else if (scn == 1)
{
ippiAddProduct_IM = sdepth == CV_8U && ddepth == CV_32F ? (ippiAddProductMask)ippiAddProduct_8u32f_C1IMR :
sdepth == CV_16U && ddepth == CV_32F ? (ippiAddProductMask)ippiAddProduct_16u32f_C1IMR :
sdepth == CV_32F && ddepth == CV_32F ? (ippiAddProductMask)ippiAddProduct_32f_C1IMR : 0;
}
if (ippiAddProduct_I || ippiAddProduct_IM)
{
IppStatus status = ippStsErr;
Size size = src1.size();
int src1step = (int)src1.step, src2step = (int)src2.step, dststep = (int)dst.step, maskstep = (int)mask.step;
if (src1.isContinuous() && src2.isContinuous() && dst.isContinuous() && mask.isContinuous())
{
src1step = static_cast<int>(src1.total() * src1.elemSize());
src2step = static_cast<int>(src2.total() * src2.elemSize());
dststep = static_cast<int>(dst.total() * dst.elemSize());
maskstep = static_cast<int>(mask.total() * mask.elemSize());
size.width = static_cast<int>(src1.total());
size.height = 1;
}
size.width *= scn;
if (ippiAddProduct_I)
status = CV_INSTRUMENT_FUN_IPP(ippiAddProduct_I, src1.ptr(), src1step, src2.ptr(), src2step, dst.ptr<Ipp32f>(),
dststep, ippiSize(size.width, size.height));
else if (ippiAddProduct_IM)
status = CV_INSTRUMENT_FUN_IPP(ippiAddProduct_IM, src1.ptr(), src1step, src2.ptr(), src2step, mask.ptr<Ipp8u>(), maskstep,
dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height));
if (status >= 0)
return true;
}
}
return false;
}
}
#endif
void cv::accumulateProduct( InputArray _src1, InputArray _src2,
InputOutputArray _dst, InputArray _mask )
{
CV_INSTRUMENT_REGION();
int stype = _src1.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype), dcn = CV_MAT_CN(dtype);
CV_Assert( _src1.sameSize(_src2) && stype == _src2.type() );
CV_Assert( _src1.sameSize(_dst) && dcn == scn );
CV_Assert( _mask.empty() || (_src1.sameSize(_mask) && _mask.type() == CV_8U) );
CV_OCL_RUN(_src1.dims() <= 2 && _dst.isUMat(),
ocl_accumulate(_src1, _src2, _dst, 0.0, _mask, ACCUMULATE_PRODUCT))
CV_IPP_RUN( (_src1.dims() <= 2 || (_src1.isContinuous() && _src2.isContinuous() && _dst.isContinuous())),
ipp_accumulate_product(_src1, _src2, _dst, _mask));
Mat src1 = _src1.getMat(), src2 = _src2.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
int fidx = getAccTabIdx(sdepth, ddepth);
AccProdFunc func = fidx >= 0 ? accProdTab[fidx] : 0;
CV_Assert( func != 0 );
const Mat* arrays[] = {&src1, &src2, &dst, &mask, 0};
uchar* ptrs[4] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)it.size;
for( size_t i = 0; i < it.nplanes; i++, ++it )
func(ptrs[0], ptrs[1], ptrs[2], ptrs[3], len, scn);
}
#if defined(HAVE_IPP)
namespace cv
{
static bool ipp_accumulate_weighted( InputArray _src, InputOutputArray _dst,
double alpha, InputArray _mask )
{
CV_INSTRUMENT_REGION_IPP();
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype);
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
if (src.dims <= 2 || (src.isContinuous() && dst.isContinuous() && mask.isContinuous()))
{
typedef IppStatus (CV_STDCALL * ippiAddWeighted)(const void * pSrc, int srcStep, Ipp32f * pSrcDst, int srcdstStep,
IppiSize roiSize, Ipp32f alpha);
typedef IppStatus (CV_STDCALL * ippiAddWeightedMask)(const void * pSrc, int srcStep, const Ipp8u * pMask,
int maskStep, Ipp32f * pSrcDst,
int srcDstStep, IppiSize roiSize, Ipp32f alpha);
ippiAddWeighted ippiAddWeighted_I = 0;
ippiAddWeightedMask ippiAddWeighted_IM = 0;
if (mask.empty())
{
ippiAddWeighted_I = sdepth == CV_8U && ddepth == CV_32F ? (ippiAddWeighted)ippiAddWeighted_8u32f_C1IR :
sdepth == CV_16U && ddepth == CV_32F ? (ippiAddWeighted)ippiAddWeighted_16u32f_C1IR :
sdepth == CV_32F && ddepth == CV_32F ? (ippiAddWeighted)ippiAddWeighted_32f_C1IR : 0;
}
else if (scn == 1)
{
ippiAddWeighted_IM = sdepth == CV_8U && ddepth == CV_32F ? (ippiAddWeightedMask)ippiAddWeighted_8u32f_C1IMR :
sdepth == CV_16U && ddepth == CV_32F ? (ippiAddWeightedMask)ippiAddWeighted_16u32f_C1IMR :
sdepth == CV_32F && ddepth == CV_32F ? (ippiAddWeightedMask)ippiAddWeighted_32f_C1IMR : 0;
}
if (ippiAddWeighted_I || ippiAddWeighted_IM)
{
IppStatus status = ippStsErr;
Size size = src.size();
int srcstep = (int)src.step, dststep = (int)dst.step, maskstep = (int)mask.step;
if (src.isContinuous() && dst.isContinuous() && mask.isContinuous())
{
srcstep = static_cast<int>(src.total() * src.elemSize());
dststep = static_cast<int>(dst.total() * dst.elemSize());
maskstep = static_cast<int>(mask.total() * mask.elemSize());
size.width = static_cast<int>((int)src.total());
size.height = 1;
}
size.width *= scn;
if (ippiAddWeighted_I)
status = CV_INSTRUMENT_FUN_IPP(ippiAddWeighted_I, src.ptr(), srcstep, dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height), (Ipp32f)alpha);
else if (ippiAddWeighted_IM)
status = CV_INSTRUMENT_FUN_IPP(ippiAddWeighted_IM, src.ptr(), srcstep, mask.ptr<Ipp8u>(), maskstep,
dst.ptr<Ipp32f>(), dststep, ippiSize(size.width, size.height), (Ipp32f)alpha);
if (status >= 0)
return true;
}
}
return false;
}
}
#endif
void cv::accumulateWeighted( InputArray _src, InputOutputArray _dst,
double alpha, InputArray _mask )
{
CV_INSTRUMENT_REGION();
int stype = _src.type(), sdepth = CV_MAT_DEPTH(stype), scn = CV_MAT_CN(stype);
int dtype = _dst.type(), ddepth = CV_MAT_DEPTH(dtype), dcn = CV_MAT_CN(dtype);
CV_Assert( _src.sameSize(_dst) && dcn == scn );
CV_Assert( _mask.empty() || (_src.sameSize(_mask) && _mask.type() == CV_8U) );
CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
ocl_accumulate(_src, noArray(), _dst, alpha, _mask, ACCUMULATE_WEIGHTED))
CV_IPP_RUN((_src.dims() <= 2 || (_src.isContinuous() && _dst.isContinuous() && _mask.isContinuous())), ipp_accumulate_weighted(_src, _dst, alpha, _mask));
CV_OVX_RUN(_src.dims() <= 2,
openvx_accumulate(_src, _dst, _mask, alpha, VX_ACCUMULATE_WEIGHTED_OP))
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
int fidx = getAccTabIdx(sdepth, ddepth);
AccWFunc func = fidx >= 0 ? accWTab[fidx] : 0;
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &dst, &mask, 0};
uchar* ptrs[3] = {};
NAryMatIterator it(arrays, ptrs);
int len = (int)it.size;
for( size_t i = 0; i < it.nplanes; i++, ++it )
func(ptrs[0], ptrs[1], ptrs[2], len, scn, alpha);
}
CV_IMPL void
cvAcc( const void* arr, void* sumarr, const void* maskarr )
{
cv::Mat src = cv::cvarrToMat(arr), dst = cv::cvarrToMat(sumarr), mask;
if( maskarr )
mask = cv::cvarrToMat(maskarr);
cv::accumulate( src, dst, mask );
}
CV_IMPL void
cvSquareAcc( const void* arr, void* sumarr, const void* maskarr )
{
cv::Mat src = cv::cvarrToMat(arr), dst = cv::cvarrToMat(sumarr), mask;
if( maskarr )
mask = cv::cvarrToMat(maskarr);
cv::accumulateSquare( src, dst, mask );
}
CV_IMPL void
cvMultiplyAcc( const void* arr1, const void* arr2,
void* sumarr, const void* maskarr )
{
cv::Mat src1 = cv::cvarrToMat(arr1), src2 = cv::cvarrToMat(arr2);
cv::Mat dst = cv::cvarrToMat(sumarr), mask;
if( maskarr )
mask = cv::cvarrToMat(maskarr);
cv::accumulateProduct( src1, src2, dst, mask );
}
CV_IMPL void
cvRunningAvg( const void* arr, void* sumarr, double alpha, const void* maskarr )
{
cv::Mat src = cv::cvarrToMat(arr), dst = cv::cvarrToMat(sumarr), mask;
if( maskarr )
mask = cv::cvarrToMat(maskarr);
cv::accumulateWeighted( src, dst, alpha, mask );
}
/* End of file. */
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