cv::blur
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@ -766,7 +766,7 @@ void polarToCart( InputArray src1, InputArray src2,
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CV_Assert(ippFunc != 0);
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IppStatus status = ippFunc(Mag.data, Angle.data, X.data, Y.data, static_cast<int>(cn * X.total()));
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if (status == ippStsNoErr)
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if (status >= 0)
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return;
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}
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#endif
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@ -2240,7 +2240,7 @@ void pow( InputArray _src, double power, OutputArray _dst )
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ippsPowx_32f_A21((const Ipp32f *)src.data, (Ipp32f)power, (Ipp32f*)dst.data, (Ipp32s)(src.total() * cn)) :
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ippsPowx_64f_A50((const Ipp64f *)src.data, power, (Ipp64f*)dst.data, (Ipp32s)(src.total() * cn));
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if (status == ippStsNoErr)
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if (status >= 0)
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return;
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}
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#endif
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@ -2212,7 +2212,7 @@ void cv::scaleAdd( InputArray _src1, double alpha, InputArray _src2, OutputArray
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Mat src1 = _src1.getMat(), src2 = _src2.getMat();
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CV_Assert(src1.size == src2.size);
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_dst.create(src1.dims, src1.size, src1.type());
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_dst.create(src1.dims, src1.size, type);
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Mat dst = _dst.getMat();
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float falpha = (float)alpha;
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@ -2223,6 +2223,16 @@ void cv::scaleAdd( InputArray _src1, double alpha, InputArray _src2, OutputArray
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if( src1.isContinuous() && src2.isContinuous() && dst.isContinuous() )
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{
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size_t len = src1.total()*cn;
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//#ifdef HAVE_IPP
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// if (depth == CV_32F)
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// {
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// IppStatus status = ippmSaxpy_vava_32f((const Ipp32f *)src1.data, 1, 0, falpha,
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// (const Ipp32f *)src2.data, 1, 0, (Ipp32f *)dst.data, 1, 0, (int)len, 1);
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// printf("%s\n", ippGetStatusString(status));
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// if (status >= 0)
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// return;
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// }
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//#endif
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func(src1.data, src2.data, dst.data, (int)len, palpha);
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return;
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}
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@ -2987,7 +2987,7 @@ void cv::transpose( InputArray _src, OutputArray _dst )
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type == CV_32FC4 ? (ippiTranspose)ippiTranspose_32f_C4R : 0;
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IppiSize roiSize = { src.cols, src.rows };
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if (ippFunc != 0 && ippFunc(src.data, (int)src.step, dst.data, (int)dst.step, roiSize) == ippStsNoErr)
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if (ippFunc != 0 && ippFunc(src.data, (int)src.step, dst.data, (int)dst.step, roiSize) >= 0)
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return;
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#endif
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@ -501,7 +501,7 @@ void cv::accumulateSquare( InputArray _src, InputOutputArray _dst, InputArray _m
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status = ippFuncMask(src.data, srcstep, (Ipp8u *)mask.data, maskstep,
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(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
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if (status == ippStsNoErr)
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if (status >= 0)
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return;
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}
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}
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@ -582,7 +582,7 @@ void cv::accumulateProduct( InputArray _src1, InputArray _src2,
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status = ippFuncMask(src1.data, src1step, src2.data, src2step, (Ipp8u *)mask.data, maskstep,
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(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height));
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if (status == ippStsNoErr)
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if (status >= 0)
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return;
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}
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}
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@ -661,7 +661,7 @@ void cv::accumulateWeighted( InputArray _src, InputOutputArray _dst,
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status = ippFuncMask(src.data, srcstep, (Ipp8u *)mask.data, maskstep,
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(Ipp32f *)dst.data, dststep, ippiSize(size.width, size.height), (Ipp32f)alpha);
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if (status == ippStsNoErr)
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if (status >= 0)
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return;
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}
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}
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@ -4048,8 +4048,12 @@ public:
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////Aug 2013: problem in IPP 7.1, 8.0 : sometimes function return ippStsCoeffErr
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IppStatus status = func( src.data, srcsize, (int)src.step[0], srcroi, dst.data,
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(int)dst.step[0], dstroi, coeffs, mode );
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<<<<<<< HEAD
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printf("%d\n", status);
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if( status != ippStsNoErr)
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=======
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if( status < 0)
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>>>>>>> cv::blur
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*ok = false;
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}
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private:
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@ -858,11 +858,17 @@ void cv::boxFilter( InputArray _src, OutputArray _dst, int ddepth,
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return;
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#endif
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/*
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#ifdef HAVE_IPP
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bool isolated = (borderType & BORDER_ISOLATED) != 0;
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if (!normalize && !isolated && (borderType & ~BORDER_ISOLATED) == BORDER_REPLICATE && ddepth == sdepth &&
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(anchor == Point(-1, -1) || anchor == Point(ksize.width >> 1, ksize.height >> 1)) && ksize.width == ksize.width)
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int ippBorderType = borderType & ~BORDER_ISOLATED;
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Point ocvAnchor, ippAnchor;
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ocvAnchor.x = anchor.x < 0 ? ksize.width / 2 : anchor.x;
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ocvAnchor.y = anchor.y < 0 ? ksize.height / 2 : anchor.y;
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ippAnchor.x = ksize.width / 2 - (ksize.width % 2 == 0 ? 1 : 0);
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ippAnchor.y = ksize.height / 2 - (ksize.height % 2 == 0 ? 1 : 0);
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if (normalize && !src.isSubmatrix() && ddepth == sdepth &&
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(ippBorderType == BORDER_REPLICATE || ippBorderType == BORDER_CONSTANT) &&
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ocvAnchor == ippAnchor )
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{
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Ipp32s bufSize;
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IppiSize roiSize = ippiSize(dst.cols, dst.rows), maskSize = ippiSize(ksize.width, ksize.height);
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@ -874,11 +880,11 @@ void cv::boxFilter( InputArray _src, OutputArray _dst, int ddepth,
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{ \
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Ipp8u * buffer = ippsMalloc_8u(bufSize); \
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ippType borderValue[4] = { 0, 0, 0, 0 }; \
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ippBorderType = ippBorderType == BORDER_CONSTANT ? ippBorderConst : ippBorderType == BORDER_REPLICATE ? ippBorderRepl : -1; \
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CV_Assert(ippBorderType >= 0); \
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IppStatus status = ippiFilterBoxBorder_##flavor((ippType *)src.data, (int)src.step, (ippType *)dst.data, (int)dst.step, roiSize, maskSize, \
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ippBorderRepl, borderValue, buffer); \
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ippFree(buffer); \
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printf("%d\n", status); \
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IPPI_CALL(status); \
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(IppiBorderType)ippBorderType, borderValue, buffer); \
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ippsFree(buffer); \
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if (status >= 0) \
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return; \
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} \
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@ -914,7 +920,6 @@ void cv::boxFilter( InputArray _src, OutputArray _dst, int ddepth,
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}
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#undef IPP_FILTER_BOX_BORDER
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#endif
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*/
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Ptr<FilterEngine> f = createBoxFilter( src.type(), dst.type(),
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ksize, anchor, normalize, borderType );
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@ -2024,7 +2029,7 @@ void cv::medianBlur( InputArray _src0, OutputArray _dst, int ksize )
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IppStatus status = ippiFilterMedianBorder_##flavor((const ippType *)src0.data, (int)src0.step, \
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(ippType *)dst.data, (int)dst.step, dstRoiSize, maskSize, \
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ippBorderRepl, (ippType)0, buffer); \
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ippiFree(buffer); \
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ippsFree(buffer); \
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if (status >= 0) \
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return; \
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} \
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@ -102,7 +102,7 @@ typedef BoxFilterBase BoxFilter;
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OCL_TEST_P(BoxFilter, Mat)
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{
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for (int j = 0; j < 100; j++)
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for (int j = 0; j < test_loop_times; j++)
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{
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random_roi();
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