generic-library/opencv
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All optimized function tables wrapped to getters to change its

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initialization time.
This commit is contained in:
Alexander Smorkalov
2013-08-15 00:01:40 -07:00
parent 7b95bb20f7
commit a3dd13450c
4 changed files with 387 additions and 270 deletions
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155
modules/core/src/stat.cpp
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@@ -199,14 +199,19 @@ static int sum64f( const double* src, const uchar* mask, double* dst, int len, i
typedef int (*SumFunc)(const uchar*, const uchar* mask, uchar*, int, int);
static SumFunc sumTab[] =
static SumFunc getSumFunc(int depth)
{
(SumFunc)GET_OPTIMIZED(sum8u), (SumFunc)sum8s,
(SumFunc)sum16u, (SumFunc)sum16s,
(SumFunc)sum32s,
(SumFunc)GET_OPTIMIZED(sum32f), (SumFunc)sum64f,
0
};
static SumFunc sumTab[] =
{
(SumFunc)GET_OPTIMIZED(sum8u), (SumFunc)sum8s,
(SumFunc)sum16u, (SumFunc)sum16s,
(SumFunc)sum32s,
(SumFunc)GET_OPTIMIZED(sum32f), (SumFunc)sum64f,
0
};
return sumTab[depth];
}
template<typename T>
static int countNonZero_(const T* src, int len )
@@ -271,14 +276,18 @@ static int countNonZero64f( const double* src, int len )
typedef int (*CountNonZeroFunc)(const uchar*, int);
static CountNonZeroFunc countNonZeroTab[] =
static CountNonZeroFunc getCountNonZeroTab(int depth)
{
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero8u), (CountNonZeroFunc)GET_OPTIMIZED(countNonZero8u),
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero16u), (CountNonZeroFunc)GET_OPTIMIZED(countNonZero16u),
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero32s), (CountNonZeroFunc)GET_OPTIMIZED(countNonZero32f),
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero64f), 0
};
static CountNonZeroFunc countNonZeroTab[] =
{
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero8u), (CountNonZeroFunc)GET_OPTIMIZED(countNonZero8u),
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero16u), (CountNonZeroFunc)GET_OPTIMIZED(countNonZero16u),
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero32s), (CountNonZeroFunc)GET_OPTIMIZED(countNonZero32f),
(CountNonZeroFunc)GET_OPTIMIZED(countNonZero64f), 0
};
return countNonZeroTab[depth];
}
template<typename T, typename ST, typename SQT>
static int sumsqr_(const T* src0, const uchar* mask, ST* sum, SQT* sqsum, int len, int cn )
@@ -427,11 +436,16 @@ static int sqsum64f( const double* src, const uchar* mask, double* sum, double*
typedef int (*SumSqrFunc)(const uchar*, const uchar* mask, uchar*, uchar*, int, int);
static SumSqrFunc sumSqrTab[] =
static SumSqrFunc getSumSqrTab(int depth)
{
(SumSqrFunc)GET_OPTIMIZED(sqsum8u), (SumSqrFunc)sqsum8s, (SumSqrFunc)sqsum16u, (SumSqrFunc)sqsum16s,
(SumSqrFunc)sqsum32s, (SumSqrFunc)GET_OPTIMIZED(sqsum32f), (SumSqrFunc)sqsum64f, 0
};
static SumSqrFunc sumSqrTab[] =
{
(SumSqrFunc)GET_OPTIMIZED(sqsum8u), (SumSqrFunc)sqsum8s, (SumSqrFunc)sqsum16u, (SumSqrFunc)sqsum16s,
(SumSqrFunc)sqsum32s, (SumSqrFunc)GET_OPTIMIZED(sqsum32f), (SumSqrFunc)sqsum64f, 0
};
return sumSqrTab[depth];
}
}
@@ -478,7 +492,7 @@ cv::Scalar cv::sum( InputArray _src )
}
#endif
SumFunc func = sumTab[depth];
SumFunc func = getSumFunc(depth);
CV_Assert( cn <= 4 && func != 0 );
@@ -530,7 +544,7 @@ cv::Scalar cv::sum( InputArray _src )
int cv::countNonZero( InputArray _src )
{
Mat src = _src.getMat();
CountNonZeroFunc func = countNonZeroTab[src.depth()];
CountNonZeroFunc func = getCountNonZeroTab(src.depth());
CV_Assert( src.channels() == 1 && func != 0 );
@@ -626,7 +640,7 @@ cv::Scalar cv::mean( InputArray _src, InputArray _mask )
}
#endif
SumFunc func = sumTab[depth];
SumFunc func = getSumFunc(depth);
CV_Assert( cn <= 4 && func != 0 );
@@ -685,7 +699,7 @@ void cv::meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv, Input
CV_Assert( mask.empty() || mask.type() == CV_8U );
int k, cn = src.channels(), depth = src.depth();
SumSqrFunc func = sumSqrTab[depth];
SumSqrFunc func = getSumSqrTab(depth);
CV_Assert( func != 0 );
@@ -859,14 +873,19 @@ static void minMaxIdx_64f(const double* src, const uchar* mask, double* minval,
typedef void (*MinMaxIdxFunc)(const uchar*, const uchar*, int*, int*, size_t*, size_t*, int, size_t);
static MinMaxIdxFunc minmaxTab[] =
static MinMaxIdxFunc getMinmaxTab(int depth)
{
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_8u), (MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_8s),
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_16u), (MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_16s),
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_32s),
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_32f), (MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_64f),
0
};
static MinMaxIdxFunc minmaxTab[] =
{
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_8u), (MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_8s),
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_16u), (MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_16s),
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_32s),
(MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_32f), (MinMaxIdxFunc)GET_OPTIMIZED(minMaxIdx_64f),
0
};
return minmaxTab[depth];
}
static void ofs2idx(const Mat& a, size_t ofs, int* idx)
{
@@ -899,7 +918,7 @@ void cv::minMaxIdx(InputArray _src, double* minVal,
CV_Assert( (cn == 1 && (mask.empty() || mask.type() == CV_8U)) ||
(cn >= 1 && mask.empty() && !minIdx && !maxIdx) );
MinMaxIdxFunc func = minmaxTab[depth];
MinMaxIdxFunc func = getMinmaxTab(depth);
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &mask, 0};
@@ -1362,43 +1381,53 @@ CV_DEF_NORM_ALL(64f, double, double, double, double)
typedef int (*NormFunc)(const uchar*, const uchar*, uchar*, int, int);
typedef int (*NormDiffFunc)(const uchar*, const uchar*, const uchar*, uchar*, int, int);
static NormFunc normTab[3][8] =
static NormFunc getNormFunc(int normType, int depth)
{
static NormFunc normTab[3][8] =
{
(NormFunc)GET_OPTIMIZED(normInf_8u), (NormFunc)GET_OPTIMIZED(normInf_8s), (NormFunc)GET_OPTIMIZED(normInf_16u), (NormFunc)GET_OPTIMIZED(normInf_16s),
(NormFunc)GET_OPTIMIZED(normInf_32s), (NormFunc)GET_OPTIMIZED(normInf_32f), (NormFunc)normInf_64f, 0
},
{
(NormFunc)GET_OPTIMIZED(normL1_8u), (NormFunc)GET_OPTIMIZED(normL1_8s), (NormFunc)GET_OPTIMIZED(normL1_16u), (NormFunc)GET_OPTIMIZED(normL1_16s),
(NormFunc)GET_OPTIMIZED(normL1_32s), (NormFunc)GET_OPTIMIZED(normL1_32f), (NormFunc)normL1_64f, 0
},
{
(NormFunc)GET_OPTIMIZED(normL2_8u), (NormFunc)GET_OPTIMIZED(normL2_8s), (NormFunc)GET_OPTIMIZED(normL2_16u), (NormFunc)GET_OPTIMIZED(normL2_16s),
(NormFunc)GET_OPTIMIZED(normL2_32s), (NormFunc)GET_OPTIMIZED(normL2_32f), (NormFunc)normL2_64f, 0
}
};
{
(NormFunc)GET_OPTIMIZED(normInf_8u), (NormFunc)GET_OPTIMIZED(normInf_8s), (NormFunc)GET_OPTIMIZED(normInf_16u), (NormFunc)GET_OPTIMIZED(normInf_16s),
(NormFunc)GET_OPTIMIZED(normInf_32s), (NormFunc)GET_OPTIMIZED(normInf_32f), (NormFunc)normInf_64f, 0
},
{
(NormFunc)GET_OPTIMIZED(normL1_8u), (NormFunc)GET_OPTIMIZED(normL1_8s), (NormFunc)GET_OPTIMIZED(normL1_16u), (NormFunc)GET_OPTIMIZED(normL1_16s),
(NormFunc)GET_OPTIMIZED(normL1_32s), (NormFunc)GET_OPTIMIZED(normL1_32f), (NormFunc)normL1_64f, 0
},
{
(NormFunc)GET_OPTIMIZED(normL2_8u), (NormFunc)GET_OPTIMIZED(normL2_8s), (NormFunc)GET_OPTIMIZED(normL2_16u), (NormFunc)GET_OPTIMIZED(normL2_16s),
(NormFunc)GET_OPTIMIZED(normL2_32s), (NormFunc)GET_OPTIMIZED(normL2_32f), (NormFunc)normL2_64f, 0
}
};
static NormDiffFunc normDiffTab[3][8] =
return normTab[normType][depth];
}
static NormDiffFunc getNormDiffFunc(int normType, int depth)
{
static NormDiffFunc normDiffTab[3][8] =
{
(NormDiffFunc)GET_OPTIMIZED(normDiffInf_8u), (NormDiffFunc)normDiffInf_8s,
(NormDiffFunc)normDiffInf_16u, (NormDiffFunc)normDiffInf_16s,
(NormDiffFunc)normDiffInf_32s, (NormDiffFunc)GET_OPTIMIZED(normDiffInf_32f),
(NormDiffFunc)normDiffInf_64f, 0
},
{
(NormDiffFunc)GET_OPTIMIZED(normDiffL1_8u), (NormDiffFunc)normDiffL1_8s,
(NormDiffFunc)normDiffL1_16u, (NormDiffFunc)normDiffL1_16s,
(NormDiffFunc)normDiffL1_32s, (NormDiffFunc)GET_OPTIMIZED(normDiffL1_32f),
(NormDiffFunc)normDiffL1_64f, 0
},
{
(NormDiffFunc)GET_OPTIMIZED(normDiffL2_8u), (NormDiffFunc)normDiffL2_8s,
(NormDiffFunc)normDiffL2_16u, (NormDiffFunc)normDiffL2_16s,
(NormDiffFunc)normDiffL2_32s, (NormDiffFunc)GET_OPTIMIZED(normDiffL2_32f),
(NormDiffFunc)normDiffL2_64f, 0
}
};
{
(NormDiffFunc)GET_OPTIMIZED(normDiffInf_8u), (NormDiffFunc)normDiffInf_8s,
(NormDiffFunc)normDiffInf_16u, (NormDiffFunc)normDiffInf_16s,
(NormDiffFunc)normDiffInf_32s, (NormDiffFunc)GET_OPTIMIZED(normDiffInf_32f),
(NormDiffFunc)normDiffInf_64f, 0
},
{
(NormDiffFunc)GET_OPTIMIZED(normDiffL1_8u), (NormDiffFunc)normDiffL1_8s,
(NormDiffFunc)normDiffL1_16u, (NormDiffFunc)normDiffL1_16s,
(NormDiffFunc)normDiffL1_32s, (NormDiffFunc)GET_OPTIMIZED(normDiffL1_32f),
(NormDiffFunc)normDiffL1_64f, 0
},
{
(NormDiffFunc)GET_OPTIMIZED(normDiffL2_8u), (NormDiffFunc)normDiffL2_8s,
(NormDiffFunc)normDiffL2_16u, (NormDiffFunc)normDiffL2_16s,
(NormDiffFunc)normDiffL2_32s, (NormDiffFunc)GET_OPTIMIZED(normDiffL2_32f),
(NormDiffFunc)normDiffL2_64f, 0
}
};
return normDiffTab[normType][depth];
}
}
@@ -1482,7 +1511,7 @@ double cv::norm( InputArray _src, int normType, InputArray _mask )
return result;
}
NormFunc func = normTab[normType >> 1][depth];
NormFunc func = getNormFunc(normType >> 1, depth);
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &mask, 0};
@@ -1623,7 +1652,7 @@ double cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _m
return result;
}
NormDiffFunc func = normDiffTab[normType >> 1][depth];
NormDiffFunc func = getNormDiffFunc(normType >> 1, depth);
CV_Assert( func != 0 );
const Mat* arrays[] = {&src1, &src2, &mask, 0};