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Merge pull request #16751 from alalek:core_coverity_issues
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6d113bd03f
@ -1089,6 +1089,7 @@ bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc
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getMinMaxRes<double>
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};
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CV_Assert(ddepth <= CV_64F);
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getMinMaxResFunc func = functab[ddepth];
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int locTemp[2];
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@ -710,29 +710,27 @@ double cv::norm( InputArray _src, int normType, InputArray _mask )
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result;
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result.d = 0;
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NAryMatIterator it(arrays, ptrs);
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int j, total = (int)it.size, blockSize = total, intSumBlockSize = 0, count = 0;
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bool blockSum = (normType == NORM_L1 && depth <= CV_16S) ||
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((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S);
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int isum = 0;
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int *ibuf = &result.i;
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size_t esz = 0;
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CV_CheckLT((size_t)it.size, (size_t)INT_MAX, "");
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if( blockSum )
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if ((normType == NORM_L1 && depth <= CV_16S) ||
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((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S))
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{
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intSumBlockSize = (normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15))/cn;
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blockSize = std::min(blockSize, intSumBlockSize);
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ibuf = &isum;
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esz = src.elemSize();
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}
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// special case to handle "integer" overflow in accumulator
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const size_t esz = src.elemSize();
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const int total = (int)it.size;
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const int intSumBlockSize = (normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15))/cn;
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const int blockSize = std::min(total, intSumBlockSize);
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int isum = 0;
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int count = 0;
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for (size_t i = 0; i < it.nplanes; i++, ++it)
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{
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for( j = 0; j < total; j += blockSize )
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for (int j = 0; j < total; j += blockSize)
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{
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int bsz = std::min(total - j, blockSize);
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func( ptrs[0], ptrs[1], (uchar*)ibuf, bsz, cn );
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func(ptrs[0], ptrs[1], (uchar*)&isum, bsz, cn);
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count += bsz;
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if( blockSum && (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total)) )
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if (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total))
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{
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result.d += isum;
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isum = 0;
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@ -743,18 +741,27 @@ double cv::norm( InputArray _src, int normType, InputArray _mask )
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ptrs[1] += bsz;
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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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// generic implementation
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for (size_t i = 0; i < it.nplanes; i++, ++it)
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{
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func(ptrs[0], ptrs[1], (uchar*)&result, (int)it.size, cn);
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}
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}
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if( normType == NORM_INF )
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{
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if( depth == CV_64F )
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;
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return result.d;
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else if( depth == CV_32F )
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result.d = result.f;
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return result.f;
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else
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result.d = result.i;
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return result.i;
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}
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else if( normType == NORM_L2 )
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result.d = std::sqrt(result.d);
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return std::sqrt(result.d);
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return result.d;
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}
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@ -1170,29 +1177,27 @@ double cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _m
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result;
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result.d = 0;
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NAryMatIterator it(arrays, ptrs);
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int j, total = (int)it.size, blockSize = total, intSumBlockSize = 0, count = 0;
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bool blockSum = (normType == NORM_L1 && depth <= CV_16S) ||
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((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S);
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unsigned isum = 0;
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unsigned *ibuf = &result.u;
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size_t esz = 0;
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CV_CheckLT((size_t)it.size, (size_t)INT_MAX, "");
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if( blockSum )
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if ((normType == NORM_L1 && depth <= CV_16S) ||
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((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S))
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{
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intSumBlockSize = normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15);
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blockSize = std::min(blockSize, intSumBlockSize);
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ibuf = &isum;
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esz = src1.elemSize();
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}
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// special case to handle "integer" overflow in accumulator
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const size_t esz = src1.elemSize();
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const int total = (int)it.size;
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const int intSumBlockSize = normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15);
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const int blockSize = std::min(total, intSumBlockSize);
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int isum = 0;
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int count = 0;
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for (size_t i = 0; i < it.nplanes; i++, ++it)
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{
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for( j = 0; j < total; j += blockSize )
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for (int j = 0; j < total; j += blockSize)
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{
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int bsz = std::min(total - j, blockSize);
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func( ptrs[0], ptrs[1], ptrs[2], (uchar*)ibuf, bsz, cn );
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func(ptrs[0], ptrs[1], ptrs[2], (uchar*)&isum, bsz, cn);
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count += bsz;
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if( blockSum && (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total)) )
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if (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total))
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{
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result.d += isum;
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isum = 0;
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@ -1204,18 +1209,27 @@ double cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _m
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ptrs[2] += bsz;
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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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// generic implementation
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for (size_t i = 0; i < it.nplanes; i++, ++it)
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{
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func(ptrs[0], ptrs[1], ptrs[2], (uchar*)&result, (int)it.size, cn);
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}
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}
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if( normType == NORM_INF )
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{
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if( depth == CV_64F )
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;
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return result.d;
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else if( depth == CV_32F )
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result.d = result.f;
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return result.f;
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else
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result.d = result.u;
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return result.u;
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}
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else if( normType == NORM_L2 )
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result.d = std::sqrt(result.d);
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return std::sqrt(result.d);
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return result.d;
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}
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