core: fix coverity issues

pull/16751/head
Alexander Alekhin 5 years ago
parent 094a5b0cba
commit 34530da66e
  1. 1
      modules/core/src/minmax.cpp
  2. 136
      modules/core/src/norm.cpp

@ -1089,6 +1089,7 @@ bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int* minLoc
getMinMaxRes<double>
};
CV_Assert(ddepth <= CV_64F);
getMinMaxResFunc func = functab[ddepth];
int locTemp[2];

@ -710,51 +710,58 @@ double cv::norm( InputArray _src, int normType, InputArray _mask )
result;
result.d = 0;
NAryMatIterator it(arrays, ptrs);
int j, total = (int)it.size, blockSize = total, intSumBlockSize = 0, count = 0;
bool blockSum = (normType == NORM_L1 && depth <= CV_16S) ||
((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S);
int isum = 0;
int *ibuf = &result.i;
size_t esz = 0;
if( blockSum )
{
intSumBlockSize = (normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15))/cn;
blockSize = std::min(blockSize, intSumBlockSize);
ibuf = &isum;
esz = src.elemSize();
}
CV_CheckLT((size_t)it.size, (size_t)INT_MAX, "");
for( size_t i = 0; i < it.nplanes; i++, ++it )
if ((normType == NORM_L1 && depth <= CV_16S) ||
((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S))
{
for( j = 0; j < total; j += blockSize )
// special case to handle "integer" overflow in accumulator
const size_t esz = src.elemSize();
const int total = (int)it.size;
const int intSumBlockSize = (normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15))/cn;
const int blockSize = std::min(total, intSumBlockSize);
int isum = 0;
int count = 0;
for (size_t i = 0; i < it.nplanes; i++, ++it)
{
int bsz = std::min(total - j, blockSize);
func( ptrs[0], ptrs[1], (uchar*)ibuf, bsz, cn );
count += bsz;
if( blockSum && (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total)) )
for (int j = 0; j < total; j += blockSize)
{
result.d += isum;
isum = 0;
count = 0;
int bsz = std::min(total - j, blockSize);
func(ptrs[0], ptrs[1], (uchar*)&isum, bsz, cn);
count += bsz;
if (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total))
{
result.d += isum;
isum = 0;
count = 0;
}
ptrs[0] += bsz*esz;
if (ptrs[1])
ptrs[1] += bsz;
}
ptrs[0] += bsz*esz;
if( ptrs[1] )
ptrs[1] += bsz;
}
}
else
{
// generic implementation
for (size_t i = 0; i < it.nplanes; i++, ++it)
{
func(ptrs[0], ptrs[1], (uchar*)&result, (int)it.size, cn);
}
}
if( normType == NORM_INF )
{
if( depth == CV_64F )
;
return result.d;
else if( depth == CV_32F )
result.d = result.f;
return result.f;
else
result.d = result.i;
return result.i;
}
else if( normType == NORM_L2 )
result.d = std::sqrt(result.d);
return std::sqrt(result.d);
return result.d;
}
@ -1170,52 +1177,59 @@ double cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _m
result;
result.d = 0;
NAryMatIterator it(arrays, ptrs);
int j, total = (int)it.size, blockSize = total, intSumBlockSize = 0, count = 0;
bool blockSum = (normType == NORM_L1 && depth <= CV_16S) ||
((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S);
unsigned isum = 0;
unsigned *ibuf = &result.u;
size_t esz = 0;
if( blockSum )
{
intSumBlockSize = normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15);
blockSize = std::min(blockSize, intSumBlockSize);
ibuf = &isum;
esz = src1.elemSize();
}
CV_CheckLT((size_t)it.size, (size_t)INT_MAX, "");
for( size_t i = 0; i < it.nplanes; i++, ++it )
if ((normType == NORM_L1 && depth <= CV_16S) ||
((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S))
{
for( j = 0; j < total; j += blockSize )
// special case to handle "integer" overflow in accumulator
const size_t esz = src1.elemSize();
const int total = (int)it.size;
const int intSumBlockSize = normType == NORM_L1 && depth <= CV_8S ? (1 << 23) : (1 << 15);
const int blockSize = std::min(total, intSumBlockSize);
int isum = 0;
int count = 0;
for (size_t i = 0; i < it.nplanes; i++, ++it)
{
int bsz = std::min(total - j, blockSize);
func( ptrs[0], ptrs[1], ptrs[2], (uchar*)ibuf, bsz, cn );
count += bsz;
if( blockSum && (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total)) )
for (int j = 0; j < total; j += blockSize)
{
result.d += isum;
isum = 0;
count = 0;
int bsz = std::min(total - j, blockSize);
func(ptrs[0], ptrs[1], ptrs[2], (uchar*)&isum, bsz, cn);
count += bsz;
if (count + blockSize >= intSumBlockSize || (i+1 >= it.nplanes && j+bsz >= total))
{
result.d += isum;
isum = 0;
count = 0;
}
ptrs[0] += bsz*esz;
ptrs[1] += bsz*esz;
if (ptrs[2])
ptrs[2] += bsz;
}
ptrs[0] += bsz*esz;
ptrs[1] += bsz*esz;
if( ptrs[2] )
ptrs[2] += bsz;
}
}
else
{
// generic implementation
for (size_t i = 0; i < it.nplanes; i++, ++it)
{
func(ptrs[0], ptrs[1], ptrs[2], (uchar*)&result, (int)it.size, cn);
}
}
if( normType == NORM_INF )
{
if( depth == CV_64F )
;
return result.d;
else if( depth == CV_32F )
result.d = result.f;
return result.f;
else
result.d = result.u;
return result.u;
}
else if( normType == NORM_L2 )
result.d = std::sqrt(result.d);
return std::sqrt(result.d);
return result.d;
}

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