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https://github.com/opencv/opencv.git
synced 2026-07-31 00:03:03 +04:00
Some IPP functions were encapsulated;
Minor changes to IPP implementations;
This commit is contained in:
+93
-88
@@ -1368,100 +1368,106 @@ int cv::countNonZero( InputArray _src )
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return nz;
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}
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#if defined HAVE_IPP
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namespace cv
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{
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static bool ipp_mean( Mat &src, Mat &mask, Scalar &ret )
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{
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#if IPP_VERSION_X100 >= 700
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size_t total_size = src.total();
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int rows = src.size[0], cols = rows ? (int)(total_size/rows) : 0;
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if( src.dims == 2 || (src.isContinuous() && mask.isContinuous() && cols > 0 && (size_t)rows*cols == total_size) )
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{
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IppiSize sz = { cols, rows };
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int type = src.type();
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if( !mask.empty() )
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{
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typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *);
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ippiMaskMeanFuncC1 ippFuncC1 =
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type == CV_8UC1 ? (ippiMaskMeanFuncC1)ippiMean_8u_C1MR :
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type == CV_16UC1 ? (ippiMaskMeanFuncC1)ippiMean_16u_C1MR :
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type == CV_32FC1 ? (ippiMaskMeanFuncC1)ippiMean_32f_C1MR :
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0;
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if( ippFuncC1 )
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{
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Ipp64f res;
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if( ippFuncC1(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, &res) >= 0 )
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{
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ret = Scalar(res);
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return true;
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}
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}
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typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *);
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ippiMaskMeanFuncC3 ippFuncC3 =
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type == CV_8UC3 ? (ippiMaskMeanFuncC3)ippiMean_8u_C3CMR :
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type == CV_16UC3 ? (ippiMaskMeanFuncC3)ippiMean_16u_C3CMR :
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type == CV_32FC3 ? (ippiMaskMeanFuncC3)ippiMean_32f_C3CMR :
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0;
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if( ippFuncC3 )
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{
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Ipp64f res1, res2, res3;
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if( ippFuncC3(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, 1, &res1) >= 0 &&
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ippFuncC3(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, 2, &res2) >= 0 &&
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ippFuncC3(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, 3, &res3) >= 0 )
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{
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ret = Scalar(res1, res2, res3);
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return true;
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}
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}
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}
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else
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{
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typedef IppStatus (CV_STDCALL* ippiMeanFuncHint)(const void*, int, IppiSize, double *, IppHintAlgorithm);
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typedef IppStatus (CV_STDCALL* ippiMeanFuncNoHint)(const void*, int, IppiSize, double *);
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ippiMeanFuncHint ippFuncHint =
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type == CV_32FC1 ? (ippiMeanFuncHint)ippiMean_32f_C1R :
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type == CV_32FC3 ? (ippiMeanFuncHint)ippiMean_32f_C3R :
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type == CV_32FC4 ? (ippiMeanFuncHint)ippiMean_32f_C4R :
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0;
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ippiMeanFuncNoHint ippFuncNoHint =
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type == CV_8UC1 ? (ippiMeanFuncNoHint)ippiMean_8u_C1R :
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type == CV_8UC3 ? (ippiMeanFuncNoHint)ippiMean_8u_C3R :
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type == CV_8UC4 ? (ippiMeanFuncNoHint)ippiMean_8u_C4R :
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type == CV_16UC1 ? (ippiMeanFuncNoHint)ippiMean_16u_C1R :
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type == CV_16UC3 ? (ippiMeanFuncNoHint)ippiMean_16u_C3R :
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type == CV_16UC4 ? (ippiMeanFuncNoHint)ippiMean_16u_C4R :
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type == CV_16SC1 ? (ippiMeanFuncNoHint)ippiMean_16s_C1R :
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type == CV_16SC3 ? (ippiMeanFuncNoHint)ippiMean_16s_C3R :
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type == CV_16SC4 ? (ippiMeanFuncNoHint)ippiMean_16s_C4R :
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0;
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// Make sure only zero or one version of the function pointer is valid
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CV_Assert(!ippFuncHint || !ippFuncNoHint);
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if( ippFuncHint || ippFuncNoHint )
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{
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Ipp64f res[4];
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IppStatus status = ippFuncHint ? ippFuncHint(src.ptr(), (int)src.step[0], sz, res, ippAlgHintAccurate) :
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ippFuncNoHint(src.ptr(), (int)src.step[0], sz, res);
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if( status >= 0 )
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{
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for( int i = 0; i < src.channels(); i++ )
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ret[i] = res[i];
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return true;
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}
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}
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}
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}
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return false;
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#else
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return false;
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#endif
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}
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}
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#endif
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cv::Scalar cv::mean( InputArray _src, InputArray _mask )
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{
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Mat src = _src.getMat(), mask = _mask.getMat();
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CV_Assert( mask.empty() || mask.type() == CV_8U );
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int k, cn = src.channels(), depth = src.depth();
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Scalar s;
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#if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
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CV_IPP_CHECK()
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{
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size_t total_size = src.total();
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int rows = src.size[0], cols = rows ? (int)(total_size/rows) : 0;
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if( src.dims == 2 || (src.isContinuous() && mask.isContinuous() && cols > 0 && (size_t)rows*cols == total_size) )
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{
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IppiSize sz = { cols, rows };
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int type = src.type();
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if( !mask.empty() )
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{
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typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *);
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ippiMaskMeanFuncC1 ippFuncC1 =
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type == CV_8UC1 ? (ippiMaskMeanFuncC1)ippiMean_8u_C1MR :
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type == CV_16UC1 ? (ippiMaskMeanFuncC1)ippiMean_16u_C1MR :
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type == CV_32FC1 ? (ippiMaskMeanFuncC1)ippiMean_32f_C1MR :
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0;
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if( ippFuncC1 )
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{
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Ipp64f res;
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if( ippFuncC1(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, &res) >= 0 )
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{
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CV_IMPL_ADD(CV_IMPL_IPP);
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return Scalar(res);
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}
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setIppErrorStatus();
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}
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typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *);
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ippiMaskMeanFuncC3 ippFuncC3 =
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type == CV_8UC3 ? (ippiMaskMeanFuncC3)ippiMean_8u_C3CMR :
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type == CV_16UC3 ? (ippiMaskMeanFuncC3)ippiMean_16u_C3CMR :
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type == CV_32FC3 ? (ippiMaskMeanFuncC3)ippiMean_32f_C3CMR :
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0;
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if( ippFuncC3 )
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{
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Ipp64f res1, res2, res3;
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if( ippFuncC3(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, 1, &res1) >= 0 &&
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ippFuncC3(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, 2, &res2) >= 0 &&
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ippFuncC3(src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, 3, &res3) >= 0 )
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{
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CV_IMPL_ADD(CV_IMPL_IPP);
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return Scalar(res1, res2, res3);
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}
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setIppErrorStatus();
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}
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}
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else
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{
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typedef IppStatus (CV_STDCALL* ippiMeanFuncHint)(const void*, int, IppiSize, double *, IppHintAlgorithm);
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typedef IppStatus (CV_STDCALL* ippiMeanFuncNoHint)(const void*, int, IppiSize, double *);
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ippiMeanFuncHint ippFuncHint =
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type == CV_32FC1 ? (ippiMeanFuncHint)ippiMean_32f_C1R :
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type == CV_32FC3 ? (ippiMeanFuncHint)ippiMean_32f_C3R :
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type == CV_32FC4 ? (ippiMeanFuncHint)ippiMean_32f_C4R :
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0;
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ippiMeanFuncNoHint ippFuncNoHint =
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type == CV_8UC1 ? (ippiMeanFuncNoHint)ippiMean_8u_C1R :
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type == CV_8UC3 ? (ippiMeanFuncNoHint)ippiMean_8u_C3R :
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type == CV_8UC4 ? (ippiMeanFuncNoHint)ippiMean_8u_C4R :
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type == CV_16UC1 ? (ippiMeanFuncNoHint)ippiMean_16u_C1R :
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type == CV_16UC3 ? (ippiMeanFuncNoHint)ippiMean_16u_C3R :
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type == CV_16UC4 ? (ippiMeanFuncNoHint)ippiMean_16u_C4R :
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type == CV_16SC1 ? (ippiMeanFuncNoHint)ippiMean_16s_C1R :
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type == CV_16SC3 ? (ippiMeanFuncNoHint)ippiMean_16s_C3R :
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type == CV_16SC4 ? (ippiMeanFuncNoHint)ippiMean_16s_C4R :
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0;
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// Make sure only zero or one version of the function pointer is valid
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CV_Assert(!ippFuncHint || !ippFuncNoHint);
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if( ippFuncHint || ippFuncNoHint )
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{
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Ipp64f res[4];
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IppStatus ret = ippFuncHint ? ippFuncHint(src.ptr(), (int)src.step[0], sz, res, ippAlgHintAccurate) :
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ippFuncNoHint(src.ptr(), (int)src.step[0], sz, res);
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if( ret >= 0 )
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{
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Scalar sc;
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for( int i = 0; i < cn; i++ )
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sc[i] = res[i];
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CV_IMPL_ADD(CV_IMPL_IPP);
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return sc;
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}
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setIppErrorStatus();
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}
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}
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}
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}
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#endif
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CV_IPP_RUN(IPP_VERSION_X100 >= 700, ipp_mean(src, mask, s), s)
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SumFunc func = getSumFunc(depth);
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@@ -1470,7 +1476,6 @@ cv::Scalar cv::mean( InputArray _src, InputArray _mask )
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const Mat* arrays[] = {&src, &mask, 0};
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uchar* ptrs[2];
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NAryMatIterator it(arrays, ptrs);
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Scalar s;
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int total = (int)it.size, blockSize = total, intSumBlockSize = 0;
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int j, count = 0;
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AutoBuffer<int> _buf;
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