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Commit d9316181 authored by Andrey Pavlenko's avatar Andrey Pavlenko Committed by OpenCV Buildbot
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Merge pull request #2620 from ilya-lavrenov:ipp_integration

parents 9badfa1f 51e2a8ec
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Showing with 309 additions and 36 deletions
modules/calib3d/src/stereosgbm.cpp
View file @ d9316181
......@@ -1078,13 +1078,39 @@ void cv::filterSpeckles( InputOutputArray _img, double _newval, int maxSpeckleSi
double _maxDiff, InputOutputArray __buf )
{
Mat img = _img.getMat();
int type = img.type();
Mat temp, &_buf = __buf.needed() ? __buf.getMatRef() : temp;
CV_Assert( img.type() == CV_8UC1 || img.type() == CV_16SC1 );
CV_Assert( type == CV_8UC1 || type == CV_16SC1 );
int newVal = cvRound(_newval);
int maxDiff = cvRound(_maxDiff);
int newVal = cvRound(_newval), maxDiff = cvRound(_maxDiff);
if (img.type() == CV_8UC1)
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
Ipp32s bufsize = 0;
IppiSize roisize = { img.cols, img.rows };
IppDataType datatype = type == CV_8UC1 ? ipp8u : ipp16s;
if (!__buf.needed() && (type == CV_8UC1 || type == CV_16SC1))
{
IppStatus status = ippiMarkSpecklesGetBufferSize(roisize, datatype, CV_MAT_CN(type), &bufsize);
Ipp8u * buffer = ippsMalloc_8u(bufsize);
if ((int)status >= 0)
{
if (type == CV_8UC1)
status = ippiMarkSpeckles_8u_C1IR((Ipp8u *)img.data, (int)img.step, roisize,
(Ipp8u)newVal, maxSpeckleSize, (Ipp8u)maxDiff, ippiNormL1, buffer);
else
status = ippiMarkSpeckles_16s_C1IR((Ipp16s *)img.data, (int)img.step, roisize,
(Ipp16s)newVal, maxSpeckleSize, (Ipp16s)maxDiff, ippiNormL1, buffer);
}
if (status >= 0)
return;
setIppErrorStatus();
}
#endif
if (type == CV_8UC1)
filterSpecklesImpl<uchar>(img, newVal, maxSpeckleSize, maxDiff, _buf);
else
filterSpecklesImpl<short>(img, newVal, maxSpeckleSize, maxDiff, _buf);
......
modules/core/perf/opencl/perf_matop.cpp
View file @ d9316181
......@@ -35,6 +35,28 @@ OCL_PERF_TEST_P(SetToFixture, SetTo,
SANITY_CHECK(src);
}
///////////// SetTo with mask ////////////////////////
typedef Size_MatType SetToFixture;
OCL_PERF_TEST_P(SetToFixture, SetToWithMask,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
const Scalar s = Scalar::all(17);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type), mask(srcSize, CV_8UC1);
declare.in(src, mask, WARMUP_RNG).out(src);
OCL_TEST_CYCLE() src.setTo(s, mask);
SANITY_CHECK(src);
}
///////////// ConvertTo ////////////////////////
typedef Size_MatType ConvertToFixture;
......@@ -79,6 +101,27 @@ OCL_PERF_TEST_P(CopyToFixture, CopyTo,
SANITY_CHECK(dst);
}
///////////// CopyTo with mask ////////////////////////
typedef Size_MatType CopyToFixture;
OCL_PERF_TEST_P(CopyToFixture, CopyToWithMask,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type), dst(srcSize, type), mask(srcSize, CV_8UC1);
declare.in(src, mask, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() src.copyTo(dst, mask);
SANITY_CHECK(dst);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL
modules/core/src/arithm.cpp
View file @ d9316181
......@@ -705,6 +705,24 @@ static void max64f( const double* src1, size_t step1,
const double* src2, size_t step2,
double* dst, size_t step, Size sz, void* )
{
#if ARITHM_USE_IPP == 1 && !defined HAVE_IPP_ICV_ONLY
double* s1 = (double*)src1;
double* s2 = (double*)src2;
double* d = dst;
fixSteps(sz, sizeof(dst[0]), step1, step2, step);
int i = 0;
for(; i < sz.height; i++)
{
if (0 > ippsMaxEvery_64f(s1, s2, d, sz.width))
break;
s1 = (double*)((uchar*)s1 + step1);
s2 = (double*)((uchar*)s2 + step2);
d = (double*)((uchar*)d + step);
}
if (i == sz.height)
return;
setIppErrorStatus();
#endif
vBinOp64<double, OpMax<double>, IF_SIMD(VMax<double>)>(src1, step1, src2, step2, dst, step, sz);
}
......@@ -808,6 +826,24 @@ static void min64f( const double* src1, size_t step1,
const double* src2, size_t step2,
double* dst, size_t step, Size sz, void* )
{
#if ARITHM_USE_IPP == 1 && !defined HAVE_IPP_ICV_ONLY
double* s1 = (double*)src1;
double* s2 = (double*)src2;
double* d = dst;
fixSteps(sz, sizeof(dst[0]), step1, step2, step);
int i = 0;
for(; i < sz.height; i++)
{
if (0 > ippsMinEvery_64f(s1, s2, d, sz.width))
break;
s1 = (double*)((uchar*)s1 + step1);
s2 = (double*)((uchar*)s2 + step2);
d = (double*)((uchar*)d + step);
}
if (i == sz.height)
return;
setIppErrorStatus();
#endif
vBinOp64<double, OpMin<double>, IF_SIMD(VMin<double>)>(src1, step1, src2, step2, dst, step, sz);
}
......@@ -1977,7 +2013,16 @@ recip_( const T*, size_t, const T* src2, size_t step2,
static void mul8u( const uchar* src1, size_t step1, const uchar* src2, size_t step2,
uchar* dst, size_t step, Size sz, void* scale)
{
mul_(src1, step1, src2, step2, dst, step, sz, (float)*(const double*)scale);
float fscale = (float)*(const double*)scale;
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
if (std::fabs(fscale - 1) <= FLT_EPSILON)
{
if (ippiMul_8u_C1RSfs(src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(sz), 0) >= 0)
return;
setIppErrorStatus();
}
#endif
mul_(src1, step1, src2, step2, dst, step, sz, fscale);
}
static void mul8s( const schar* src1, size_t step1, const schar* src2, size_t step2,
......@@ -1989,13 +2034,31 @@ static void mul8s( const schar* src1, size_t step1, const schar* src2, size_t st
static void mul16u( const ushort* src1, size_t step1, const ushort* src2, size_t step2,
ushort* dst, size_t step, Size sz, void* scale)
{
mul_(src1, step1, src2, step2, dst, step, sz, (float)*(const double*)scale);
float fscale = (float)*(const double*)scale;
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
if (std::fabs(fscale - 1) <= FLT_EPSILON)
{
if (ippiMul_16u_C1RSfs(src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(sz), 0) >= 0)
return;
setIppErrorStatus();
}
#endif
mul_(src1, step1, src2, step2, dst, step, sz, fscale);
}
static void mul16s( const short* src1, size_t step1, const short* src2, size_t step2,
short* dst, size_t step, Size sz, void* scale)
{
mul_(src1, step1, src2, step2, dst, step, sz, (float)*(const double*)scale);
float fscale = (float)*(const double*)scale;
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
if (std::fabs(fscale - 1) <= FLT_EPSILON)
{
if (ippiMul_16s_C1RSfs(src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(sz), 0) >= 0)
return;
setIppErrorStatus();
}
#endif
mul_(src1, step1, src2, step2, dst, step, sz, fscale);
}
static void mul32s( const int* src1, size_t step1, const int* src2, size_t step2,
......@@ -2007,7 +2070,16 @@ static void mul32s( const int* src1, size_t step1, const int* src2, size_t step2
static void mul32f( const float* src1, size_t step1, const float* src2, size_t step2,
float* dst, size_t step, Size sz, void* scale)
{
mul_(src1, step1, src2, step2, dst, step, sz, (float)*(const double*)scale);
float fscale = (float)*(const double*)scale;
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
if (std::fabs(fscale - 1) <= FLT_EPSILON)
{
if (ippiMul_32f_C1R(src1, (int)step1, src2, (int)step2, dst, (int)step, ippiSize(sz)) >= 0)
return;
setIppErrorStatus();
}
#endif
mul_(src1, step1, src2, step2, dst, step, sz, fscale);
}
static void mul64f( const double* src1, size_t step1, const double* src2, size_t step2,
......
modules/core/src/copy.cpp
View file @ d9316181
This diff is collapsed.
modules/core/src/matrix.cpp
View file @ d9316181
......@@ -3019,24 +3019,52 @@ void cv::transpose( InputArray _src, OutputArray _dst )
return;
}
#if defined(HAVE_IPP) && !defined(HAVE_IPP_ICV_ONLY)
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
typedef IppStatus (CV_STDCALL * ippiTranspose)(const void * pSrc, int srcStep, void * pDst, int dstStep, IppiSize roiSize);
ippiTranspose ippFunc =
type == CV_8UC1 ? (ippiTranspose)ippiTranspose_8u_C1R :
type == CV_8UC3 ? (ippiTranspose)ippiTranspose_8u_C3R :
type == CV_8UC4 ? (ippiTranspose)ippiTranspose_8u_C4R :
type == CV_16UC1 ? (ippiTranspose)ippiTranspose_16u_C1R :
type == CV_16UC3 ? (ippiTranspose)ippiTranspose_16u_C3R :
type == CV_16UC4 ? (ippiTranspose)ippiTranspose_16u_C4R :
type == CV_16SC1 ? (ippiTranspose)ippiTranspose_16s_C1R :
type == CV_16SC3 ? (ippiTranspose)ippiTranspose_16s_C3R :
type == CV_16SC4 ? (ippiTranspose)ippiTranspose_16s_C4R :
type == CV_32SC1 ? (ippiTranspose)ippiTranspose_32s_C1R :
type == CV_32SC3 ? (ippiTranspose)ippiTranspose_32s_C3R :
type == CV_32SC4 ? (ippiTranspose)ippiTranspose_32s_C4R :
type == CV_32FC1 ? (ippiTranspose)ippiTranspose_32f_C1R :
type == CV_32FC3 ? (ippiTranspose)ippiTranspose_32f_C3R :
type == CV_32FC4 ? (ippiTranspose)ippiTranspose_32f_C4R : 0;
typedef IppStatus (CV_STDCALL * ippiTransposeI)(const void * pSrcDst, int srcDstStep, IppiSize roiSize);
ippiTranspose ippFunc = 0;
ippiTransposeI ippFuncI = 0;
if (dst.data == src.data && dst.cols == dst.rows)
{
CV_SUPPRESS_DEPRECATED_START
ippFuncI =
type == CV_8UC1 ? (ippiTransposeI)ippiTranspose_8u_C1IR :
type == CV_8UC3 ? (ippiTransposeI)ippiTranspose_8u_C3IR :
type == CV_8UC4 ? (ippiTransposeI)ippiTranspose_8u_C4IR :
type == CV_16UC1 ? (ippiTransposeI)ippiTranspose_16u_C1IR :
type == CV_16UC3 ? (ippiTransposeI)ippiTranspose_16u_C3IR :
type == CV_16UC4 ? (ippiTransposeI)ippiTranspose_16u_C4IR :
type == CV_16SC1 ? (ippiTransposeI)ippiTranspose_16s_C1IR :
type == CV_16SC3 ? (ippiTransposeI)ippiTranspose_16s_C3IR :
type == CV_16SC4 ? (ippiTransposeI)ippiTranspose_16s_C4IR :
type == CV_32SC1 ? (ippiTransposeI)ippiTranspose_32s_C1IR :
type == CV_32SC3 ? (ippiTransposeI)ippiTranspose_32s_C3IR :
type == CV_32SC4 ? (ippiTransposeI)ippiTranspose_32s_C4IR :
type == CV_32FC1 ? (ippiTransposeI)ippiTranspose_32f_C1IR :
type == CV_32FC3 ? (ippiTransposeI)ippiTranspose_32f_C3IR :
type == CV_32FC4 ? (ippiTransposeI)ippiTranspose_32f_C4IR : 0;
CV_SUPPRESS_DEPRECATED_END
}
else
{
ippFunc =
type == CV_8UC1 ? (ippiTranspose)ippiTranspose_8u_C1R :
type == CV_8UC3 ? (ippiTranspose)ippiTranspose_8u_C3R :
type == CV_8UC4 ? (ippiTranspose)ippiTranspose_8u_C4R :
type == CV_16UC1 ? (ippiTranspose)ippiTranspose_16u_C1R :
type == CV_16UC3 ? (ippiTranspose)ippiTranspose_16u_C3R :
type == CV_16UC4 ? (ippiTranspose)ippiTranspose_16u_C4R :
type == CV_16SC1 ? (ippiTranspose)ippiTranspose_16s_C1R :
type == CV_16SC3 ? (ippiTranspose)ippiTranspose_16s_C3R :
type == CV_16SC4 ? (ippiTranspose)ippiTranspose_16s_C4R :
type == CV_32SC1 ? (ippiTranspose)ippiTranspose_32s_C1R :
type == CV_32SC3 ? (ippiTranspose)ippiTranspose_32s_C3R :
type == CV_32SC4 ? (ippiTranspose)ippiTranspose_32s_C4R :
type == CV_32FC1 ? (ippiTranspose)ippiTranspose_32f_C1R :
type == CV_32FC3 ? (ippiTranspose)ippiTranspose_32f_C3R :
type == CV_32FC4 ? (ippiTranspose)ippiTranspose_32f_C4R : 0;
}
IppiSize roiSize = { src.cols, src.rows };
if (ippFunc != 0)
......@@ -3045,6 +3073,12 @@ void cv::transpose( InputArray _src, OutputArray _dst )
return;
setIppErrorStatus();
}
else if (ippFuncI != 0)
{
if (ippFuncI(dst.data, (int)dst.step, roiSize) >= 0)
return;
setIppErrorStatus();
}
#endif
if( dst.data == src.data )
......
modules/imgproc/src/accum.cpp
View file @ d9316181
......@@ -431,6 +431,59 @@ void cv::accumulate( InputArray _src, InputOutputArray _dst, InputArray _mask )
Mat src = _src.getMat(), dst = _dst.getMat(), mask = _mask.getMat();
#if defined HAVE_IPP && !defined HAVE_IPP_ICV_ONLY
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 ippFunc = 0;
ippiAddMask ippFuncMask = 0;
if (mask.empty())
{
CV_SUPPRESS_DEPRECATED_START
ippFunc = 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)
{
ippFuncMask = 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 (ippFunc || ippFuncMask)
{
IppStatus status = ippStsNoErr;
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 (mask.empty())
status = ippFunc(src.data, srcstep, (Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
else
status = ippFuncMask(src.data, srcstep, (const Ipp8u *)mask.data, maskstep,
(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
if (status >= 0)
return;
setIppErrorStatus();
}
}
#endif
int fidx = getAccTabIdx(sdepth, ddepth);
AccFunc func = fidx >= 0 ? accTab[fidx] : 0;
CV_Assert( func != 0 );
......@@ -498,7 +551,7 @@ void cv::accumulateSquare( InputArray _src, InputOutputArray _dst, InputArray _m
if (mask.empty())
status = ippFunc(src.data, srcstep, (Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
else
status = ippFuncMask(src.data, srcstep, (Ipp8u *)mask.data, maskstep,
status = ippFuncMask(src.data, srcstep, (const Ipp8u *)mask.data, maskstep,
(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
if (status >= 0)
......@@ -580,7 +633,7 @@ void cv::accumulateProduct( InputArray _src1, InputArray _src2,
status = ippFunc(src1.data, src1step, src2.data, src2step, (Ipp32f *)dst.data,
dststep, ippiSize(size.width, size.height));
else
status = ippFuncMask(src1.data, src1step, src2.data, src2step, (Ipp8u *)mask.data, maskstep,
status = ippFuncMask(src1.data, src1step, src2.data, src2step, (const Ipp8u *)mask.data, maskstep,
(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
if (status >= 0)
......@@ -660,7 +713,7 @@ void cv::accumulateWeighted( InputArray _src, InputOutputArray _dst,
if (mask.empty())
status = ippFunc(src.data, srcstep, (Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height), (Ipp32f)alpha);
else
status = ippFuncMask(src.data, srcstep, (Ipp8u *)mask.data, maskstep,
status = ippFuncMask(src.data, srcstep, (const Ipp8u *)mask.data, maskstep,
(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height), (Ipp32f)alpha);
if (status >= 0)
......
modules/imgproc/src/corner.cpp
View file @ d9316181
......@@ -251,10 +251,10 @@ cornerEigenValsVecs( const Mat& src, Mat& eigenv, int block_size,
int depth = src.depth();
double scale = (double)(1 << ((aperture_size > 0 ? aperture_size : 3) - 1)) * block_size;
if( aperture_size < 0 )
scale *= 2.;
scale *= 2.0;
if( depth == CV_8U )
scale *= 255.;
scale = 1./scale;
scale *= 255.0;
scale = 1.0/scale;
CV_Assert( src.type() == CV_8UC1 || src.type() == CV_32FC1 );
......@@ -381,15 +381,15 @@ static bool ocl_cornerMinEigenValVecs(InputArray _src, OutputArray _dst, int blo
const char * const cornerType[] = { "CORNER_MINEIGENVAL", "CORNER_HARRIS", 0 };
float scale = (float)(1 << ((aperture_size > 0 ? aperture_size : 3) - 1)) * block_size;
double scale = (double)(1 << ((aperture_size > 0 ? aperture_size : 3) - 1)) * block_size;
if (aperture_size < 0)
scale *= 2.0f;
scale *= 2.0;
if (depth == CV_8U)
scale *= 255.0f;
scale = 1.0f / scale;
scale *= 255.0;
scale = 1.0 / scale;
UMat Dx, Dy;
if (!extractCovData(_src, Dx, Dy, depth, scale, aperture_size, borderType))
if (!extractCovData(_src, Dx, Dy, depth, (float)scale, aperture_size, borderType))
return false;
ocl::Kernel cornelKernel("corner", ocl::imgproc::corner_oclsrc,
......@@ -472,6 +472,51 @@ void cv::cornerHarris( InputArray _src, OutputArray _dst, int blockSize, int ksi
Mat src = _src.getMat();
_dst.create( src.size(), CV_32FC1 );
Mat dst = _dst.getMat();
#if IPP_VERSION_X100 >= 801 && !defined HAVE_IPP_ICV_ONLY
int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
int borderTypeNI = borderType & ~BORDER_ISOLATED;
bool isolated = (borderType & BORDER_ISOLATED) != 0;
if ( (ksize == 3 || ksize == 5) && (type == CV_8UC1 || type == CV_32FC1) &&
(borderTypeNI == BORDER_CONSTANT || borderTypeNI == BORDER_REPLICATE) && cn == 1 && (!src.isSubmatrix() || isolated) )
{
IppiSize roisize = { src.cols, src.rows };
IppiMaskSize masksize = ksize == 5 ? ippMskSize5x5 : ippMskSize3x3;
IppDataType datatype = type == CV_8UC1 ? ipp8u : ipp32f;
Ipp32s bufsize = 0;
double scale = (double)(1 << ((ksize > 0 ? ksize : 3) - 1)) * blockSize;
if (ksize < 0)
scale *= 2.0;
if (depth == CV_8U)
scale *= 255.0;
scale = std::pow(scale, -4.0f);
if (ippiHarrisCornerGetBufferSize(roisize, masksize, blockSize, datatype, cn, &bufsize) >= 0)
{
Ipp8u * buffer = ippsMalloc_8u(bufsize);
IppiDifferentialKernel filterType = ksize > 0 ? ippFilterSobel : ippFilterScharr;
IppiBorderType borderTypeIpp = borderTypeNI == BORDER_CONSTANT ? ippBorderConst : ippBorderRepl;
IppStatus status = (IppStatus)-1;
if (depth == CV_8U)
status = ippiHarrisCorner_8u32f_C1R((const Ipp8u *)src.data, (int)src.step, (Ipp32f *)dst.data, (int)dst.step, roisize,
filterType, masksize, blockSize, (Ipp32f)k, (Ipp32f)scale, borderTypeIpp, 0, buffer);
else if (depth == CV_32F)
status = ippiHarrisCorner_32f_C1R((const Ipp32f *)src.data, (int)src.step, (Ipp32f *)dst.data, (int)dst.step, roisize,
filterType, masksize, blockSize, (Ipp32f)k, (Ipp32f)scale, borderTypeIpp, 0, buffer);
ippsFree(buffer);
if (status >= 0)
return;
setIppErrorStatus();
}
else
setIppErrorStatus();
}
#endif
cornerEigenValsVecs( src, dst, blockSize, ksize, HARRIS, k, borderType );
}
......
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