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https://github.com/opencv/opencv.git
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optimized cv::norm with NORM_INF
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1a7a262f74
@ -36,6 +36,7 @@
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#define MAX_VAL DBL_MAX
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#endif
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#define noconvert
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#define INDEX_MAX UINT_MAX
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#ifdef NEED_MINLOC
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@ -93,20 +94,20 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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#endif
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#ifdef NEED_MINVAL
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__local srcT1 localmem_min[WGS2_ALIGNED];
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__local dstT1 localmem_min[WGS2_ALIGNED];
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#ifdef NEED_MINLOC
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__local uint localmem_minloc[WGS2_ALIGNED];
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#endif
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#endif
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#ifdef NEED_MAXVAL
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__local srcT1 localmem_max[WGS2_ALIGNED];
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__local dstT1 localmem_max[WGS2_ALIGNED];
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#ifdef NEED_MAXLOC
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__local uint localmem_maxloc[WGS2_ALIGNED];
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#endif
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#endif
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srcT1 minval = MAX_VAL, maxval = MIN_VAL;
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srcT temp;
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dstT1 minval = MAX_VAL, maxval = MIN_VAL;
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dstT temp;
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uint minloc = INDEX_MAX, maxloc = INDEX_MAX;
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int src_index;
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#ifdef HAVE_MASK
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@ -130,7 +131,7 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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if (mask[mask_index])
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#endif
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{
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temp = *(__global const srcT *)(srcptr + src_index);
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temp = convertToDT(*(__global const srcT *)(srcptr + src_index));
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#if kercn == 1
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#ifdef NEED_MINVAL
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if (minval > temp)
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@ -262,12 +263,12 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
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{
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int pos = 0;
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#ifdef NEED_MINVAL
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*(__global srcT1 *)(dstptr + mad24(gid, (int)sizeof(srcT1), pos)) = localmem_min[0];
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pos = mad24(groupnum, (int)sizeof(srcT1), pos);
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*(__global dstT1 *)(dstptr + mad24(gid, (int)sizeof(dstT1), pos)) = localmem_min[0];
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pos = mad24(groupnum, (int)sizeof(dstT1), pos);
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#endif
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#ifdef NEED_MAXVAL
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*(__global srcT1 *)(dstptr + mad24(gid, (int)sizeof(srcT1), pos)) = localmem_max[0];
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pos = mad24(groupnum, (int)sizeof(srcT1), pos);
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*(__global dstT1 *)(dstptr + mad24(gid, (int)sizeof(dstT1), pos)) = localmem_max[0];
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pos = mad24(groupnum, (int)sizeof(dstT1), pos);
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#endif
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#ifdef NEED_MINLOC
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*(__global uint *)(dstptr + mad24(gid, (int)sizeof(uint), pos)) = localmem_minloc[0];
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@ -50,7 +50,7 @@
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#endif
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#endif
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#if defined OP_NORM_INF_MASK || defined OP_MIN_MAX_LOC || defined OP_MIN_MAX_LOC_MASK
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#if defined OP_NORM_INF_MASK
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#ifdef DEPTH_0
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#define MIN_VAL 0
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@ -75,8 +75,6 @@
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#define MAX_VAL DBL_MAX
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#endif
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#define INDEX_MAX UINT_MAX
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#define dstT srcT
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#define dstT1 srcT1
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@ -1313,7 +1313,7 @@ static void ofs2idx(const Mat& a, size_t ofs, int* idx)
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template <typename T>
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void getMinMaxRes(const Mat & db, double* minVal, double* maxVal,
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int* minLoc, int* maxLoc,
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int groupnum, int cn, int cols)
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int groupnum, int cols)
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{
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uint index_max = std::numeric_limits<uint>::max();
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T minval = std::numeric_limits<T>::max();
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@ -1393,10 +1393,10 @@ void getMinMaxRes(const Mat & db, double* minVal, double* maxVal,
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}
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typedef void (*getMinMaxResFunc)(const Mat & db, double *minVal, double *maxVal,
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int *minLoc, int *maxLoc,
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int gropunum, int cn, int cols);
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int *minLoc, int *maxLoc, int gropunum, int cols);
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static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc, int* maxLoc, InputArray _mask)
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static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc, int* maxLoc, InputArray _mask,
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int ddepth = -1, bool absValues = false)
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{
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CV_Assert( (_src.channels() == 1 && (_mask.empty() || _mask.type() == CV_8U)) ||
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(_src.channels() >= 1 && _mask.empty() && !minLoc && !maxLoc) );
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@ -1405,8 +1405,10 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
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bool doubleSupport = dev.doubleFPConfig() > 0, haveMask = !_mask.empty();
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int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type),
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kercn = haveMask ? 1 : std::min(4, ocl::predictOptimalVectorWidth(_src));
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if (ddepth < 0)
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ddepth = depth;
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if (depth == CV_64F && !doubleSupport)
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if ((depth == CV_64F || ddepth == CV_64F) && !doubleSupport)
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return false;
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int groupnum = dev.maxComputeUnits();
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@ -1423,26 +1425,32 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
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// in case of mask we must know whether mask is filled with zeros or not
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// so let's calculate min or max location, if it's undefined, so mask is zeros
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if (!(needMaxLoc || needMinLoc) && haveMask)
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{
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if (needMinVal)
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needMinLoc = true;
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else
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needMaxVal = true;
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}
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char cvt[40];
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String opts = format("-D DEPTH_%d -D srcT1=%s%s -D WGS=%d -D srcT=%s"
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" -D WGS2_ALIGNED=%d%s%s%s -D kercn=%d%s%s%s%s",
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" -D WGS2_ALIGNED=%d%s%s%s -D kercn=%d%s%s%s%s"
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" -D dstT1=%s -D dstT=%s -D convertToDT=%s%s",
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depth, ocl::typeToStr(depth), haveMask ? " -D HAVE_MASK" : "", (int)wgs,
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ocl::typeToStr(CV_MAKE_TYPE(depth, kercn)), wgs2_aligned,
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doubleSupport ? " -D DOUBLE_SUPPORT" : "",
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_src.isContinuous() ? " -D HAVE_SRC_CONT" : "",
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_mask.isContinuous() ? " -D HAVE_MASK_CONT" : "", kercn,
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needMinVal ? " -D NEED_MINVAL" : "", needMaxVal ? " -D NEED_MAXVAL" : "",
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needMinLoc ? " -D NEED_MINLOC" : "", needMaxLoc ? " -D NEED_MAXLOC" : "");
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needMinLoc ? " -D NEED_MINLOC" : "", needMaxLoc ? " -D NEED_MAXLOC" : "",
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ocl::typeToStr(ddepth), ocl::typeToStr(CV_MAKE_TYPE(ddepth, kercn)),
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ocl::convertTypeStr(depth, ddepth, kercn, cvt), absValues ? " -D OP_ABS" : "");
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ocl::Kernel k("minmaxloc", ocl::core::minmaxloc_oclsrc, opts);
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if (k.empty())
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return false;
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int esz = CV_ELEM_SIZE(depth), esz32s = CV_ELEM_SIZE1(CV_32S),
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int esz = CV_ELEM_SIZE(ddepth), esz32s = CV_ELEM_SIZE1(CV_32S),
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dbsize = groupnum * ((needMinVal ? esz : 0) + (needMaxVal ? esz : 0) +
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(needMinLoc ? esz32s : 0) + (needMaxLoc ? esz32s : 0));
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UMat src = _src.getUMat(), db(1, dbsize, CV_8UC1), mask = _mask.getUMat();
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@ -1477,7 +1485,7 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
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int locTemp[2];
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func(db.getMat(ACCESS_READ), minVal, maxVal,
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needMinLoc ? minLoc ? minLoc : locTemp : minLoc,
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needMaxLoc ? maxLoc ? maxLoc : locTemp : maxLoc, groupnum, cn, src.cols);
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needMaxLoc ? maxLoc ? maxLoc : locTemp : maxLoc, groupnum, src.cols);
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return true;
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}
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@ -2116,35 +2124,8 @@ static bool ocl_norm( InputArray _src, int normType, InputArray _mask, double &
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if (normType == NORM_INF)
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{
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if (cn == 1 || !haveMask)
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{
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UMat abssrc;
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if (depth != CV_8U && depth != CV_16U)
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{
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int wdepth = std::max(CV_32S, depth), rowsPerWI = d.isIntel() ? 4 : 1;
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char cvt[50];
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ocl::Kernel kabs("KF", ocl::core::arithm_oclsrc,
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format("-D UNARY_OP -D OP_ABS_NOSAT -D dstT=%s -D srcT1=%s"
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" -D convertToDT=%s -D rowsPerWI=%d%s",
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ocl::typeToStr(wdepth), ocl::typeToStr(depth),
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ocl::convertTypeStr(depth, wdepth, 1, cvt), rowsPerWI,
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doubleSupport ? " -D DOUBLE_SUPPORT" : ""));
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if (kabs.empty())
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return false;
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abssrc.create(src.size(), CV_MAKE_TYPE(wdepth, cn));
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kabs.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::WriteOnly(abssrc, cn));
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size_t globalsize[2] = { src.cols * cn, (src.rows + rowsPerWI - 1) / rowsPerWI };
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if (!kabs.run(2, globalsize, NULL, false))
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return false;
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}
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else
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abssrc = src;
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cv::minMaxIdx(haveMask ? abssrc : abssrc.reshape(1), NULL, &result, NULL, NULL, _mask);
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}
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ocl_minMaxIdx(_src, NULL, &result, NULL, NULL, _mask,
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std::max(depth, CV_32S), depth != CV_8U && depth != CV_16U);
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else
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{
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int dbsize = d.maxComputeUnits();
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