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opencv/modules/core/src/norm.cpp

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include "precomp.hpp"
#include "opencl_kernels_core.hpp"
#include "stat.hpp"
/****************************************************************************************\
* norm *
\****************************************************************************************/
namespace cv { namespace hal {
extern const uchar popCountTable[256] =
{
0, 1, 1, 2, 1, 2, 2, 3, 1, 2, 2, 3, 2, 3, 3, 4, 1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5,
1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, 2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6,
1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, 2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6,
2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7,
1, 2, 2, 3, 2, 3, 3, 4, 2, 3, 3, 4, 3, 4, 4, 5, 2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6,
2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7,
2, 3, 3, 4, 3, 4, 4, 5, 3, 4, 4, 5, 4, 5, 5, 6, 3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7,
3, 4, 4, 5, 4, 5, 5, 6, 4, 5, 5, 6, 5, 6, 6, 7, 4, 5, 5, 6, 5, 6, 6, 7, 5, 6, 6, 7, 6, 7, 7, 8
};
static const uchar popCountTable2[] =
{
0, 1, 1, 1, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3,
1, 2, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 1, 2, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3,
1, 2, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4,
2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4,
1, 2, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4,
2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4,
1, 2, 2, 2, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4,
2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4, 2, 3, 3, 3, 3, 4, 4, 4, 3, 4, 4, 4, 3, 4, 4, 4
};
static const uchar popCountTable4[] =
{
0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2
};
int normHamming(const uchar* a, int n, int cellSize)
{
if( cellSize == 1 )
return normHamming(a, n);
const uchar* tab = 0;
if( cellSize == 2 )
tab = popCountTable2;
else if( cellSize == 4 )
tab = popCountTable4;
else
return -1;
int i = 0;
int result = 0;
#if CV_SIMD
v_uint64 t = vx_setzero_u64();
if ( cellSize == 2)
{
v_uint16 mask = v_reinterpret_as_u16(vx_setall_u8(0x55));
for(; i <= n - v_uint8::nlanes; i += v_uint8::nlanes)
{
v_uint16 a0 = v_reinterpret_as_u16(vx_load(a + i));
t += v_popcount(v_reinterpret_as_u64((a0 | (a0 >> 1)) & mask));
}
}
else // cellSize == 4
{
v_uint16 mask = v_reinterpret_as_u16(vx_setall_u8(0x11));
for(; i <= n - v_uint8::nlanes; i += v_uint8::nlanes)
{
v_uint16 a0 = v_reinterpret_as_u16(vx_load(a + i));
v_uint16 a1 = a0 | (a0 >> 2);
t += v_popcount(v_reinterpret_as_u64((a1 | (a1 >> 1)) & mask));
}
}
result += (int)v_reduce_sum(t);
vx_cleanup();
#elif CV_ENABLE_UNROLLED
for( ; i <= n - 4; i += 4 )
result += tab[a[i]] + tab[a[i+1]] + tab[a[i+2]] + tab[a[i+3]];
#endif
for( ; i < n; i++ )
result += tab[a[i]];
return result;
}
int normHamming(const uchar* a, const uchar* b, int n, int cellSize)
{
if( cellSize == 1 )
return normHamming(a, b, n);
const uchar* tab = 0;
if( cellSize == 2 )
tab = popCountTable2;
else if( cellSize == 4 )
tab = popCountTable4;
else
return -1;
int i = 0;
int result = 0;
#if CV_SIMD
v_uint64 t = vx_setzero_u64();
if ( cellSize == 2)
{
v_uint16 mask = v_reinterpret_as_u16(vx_setall_u8(0x55));
for(; i <= n - v_uint8::nlanes; i += v_uint8::nlanes)
{
v_uint16 ab0 = v_reinterpret_as_u16(vx_load(a + i) ^ vx_load(b + i));
t += v_popcount(v_reinterpret_as_u64((ab0 | (ab0 >> 1)) & mask));
}
}
else // cellSize == 4
{
v_uint16 mask = v_reinterpret_as_u16(vx_setall_u8(0x11));
for(; i <= n - v_uint8::nlanes; i += v_uint8::nlanes)
{
v_uint16 ab0 = v_reinterpret_as_u16(vx_load(a + i) ^ vx_load(b + i));
v_uint16 ab1 = ab0 | (ab0 >> 2);
t += v_popcount(v_reinterpret_as_u64((ab1 | (ab1 >> 1)) & mask));
}
}
result += (int)v_reduce_sum(t);
vx_cleanup();
#elif CV_ENABLE_UNROLLED
for( ; i <= n - 4; i += 4 )
result += tab[a[i] ^ b[i]] + tab[a[i+1] ^ b[i+1]] +
tab[a[i+2] ^ b[i+2]] + tab[a[i+3] ^ b[i+3]];
#endif
for( ; i < n; i++ )
result += tab[a[i] ^ b[i]];
return result;
}
float normL2Sqr_(const float* a, const float* b, int n)
{
int j = 0; float d = 0.f;
#if CV_SIMD
v_float32 v_d0 = vx_setzero_f32(), v_d1 = vx_setzero_f32();
v_float32 v_d2 = vx_setzero_f32(), v_d3 = vx_setzero_f32();
for (; j <= n - 4 * v_float32::nlanes; j += 4 * v_float32::nlanes)
{
v_float32 t0 = vx_load(a + j) - vx_load(b + j);
v_float32 t1 = vx_load(a + j + v_float32::nlanes) - vx_load(b + j + v_float32::nlanes);
v_float32 t2 = vx_load(a + j + 2 * v_float32::nlanes) - vx_load(b + j + 2 * v_float32::nlanes);
v_float32 t3 = vx_load(a + j + 3 * v_float32::nlanes) - vx_load(b + j + 3 * v_float32::nlanes);
v_d0 = v_muladd(t0, t0, v_d0);
v_d1 = v_muladd(t1, t1, v_d1);
v_d2 = v_muladd(t2, t2, v_d2);
v_d3 = v_muladd(t3, t3, v_d3);
}
d = v_reduce_sum(v_d0 + v_d1 + v_d2 + v_d3);
#endif
for( ; j < n; j++ )
{
float t = a[j] - b[j];
d += t*t;
}
return d;
}
float normL1_(const float* a, const float* b, int n)
{
int j = 0; float d = 0.f;
#if CV_SIMD
v_float32 v_d0 = vx_setzero_f32(), v_d1 = vx_setzero_f32();
v_float32 v_d2 = vx_setzero_f32(), v_d3 = vx_setzero_f32();
for (; j <= n - 4 * v_float32::nlanes; j += 4 * v_float32::nlanes)
{
v_d0 += v_absdiff(vx_load(a + j), vx_load(b + j));
v_d1 += v_absdiff(vx_load(a + j + v_float32::nlanes), vx_load(b + j + v_float32::nlanes));
v_d2 += v_absdiff(vx_load(a + j + 2 * v_float32::nlanes), vx_load(b + j + 2 * v_float32::nlanes));
v_d3 += v_absdiff(vx_load(a + j + 3 * v_float32::nlanes), vx_load(b + j + 3 * v_float32::nlanes));
}
d = v_reduce_sum(v_d0 + v_d1 + v_d2 + v_d3);
#endif
for( ; j < n; j++ )
d += std::abs(a[j] - b[j]);
return d;
}
int normL1_(const uchar* a, const uchar* b, int n)
{
int j = 0, d = 0;
#if CV_SIMD
for (; j <= n - 4 * v_uint8::nlanes; j += 4 * v_uint8::nlanes)
d += v_reduce_sad(vx_load(a + j), vx_load(b + j)) +
v_reduce_sad(vx_load(a + j + v_uint8::nlanes), vx_load(b + j + v_uint8::nlanes)) +
v_reduce_sad(vx_load(a + j + 2 * v_uint8::nlanes), vx_load(b + j + 2 * v_uint8::nlanes)) +
v_reduce_sad(vx_load(a + j + 3 * v_uint8::nlanes), vx_load(b + j + 3 * v_uint8::nlanes));
#endif
for( ; j < n; j++ )
d += std::abs(a[j] - b[j]);
return d;
}
}} //cv::hal
//==================================================================================================
namespace cv
{
template<typename T, typename ST> int
normInf_(const T* src, const uchar* mask, ST* _result, int len, int cn)
{
ST result = *_result;
if( !mask )
{
result = std::max(result, normInf<T, ST>(src, len*cn));
}
else
{
for( int i = 0; i < len; i++, src += cn )
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
result = std::max(result, ST(cv_abs(src[k])));
}
}
*_result = result;
return 0;
}
template<typename T, typename ST> int
normL1_(const T* src, const uchar* mask, ST* _result, int len, int cn)
{
ST result = *_result;
if( !mask )
{
result += normL1<T, ST>(src, len*cn);
}
else
{
for( int i = 0; i < len; i++, src += cn )
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
result += cv_abs(src[k]);
}
}
*_result = result;
return 0;
}
template<typename T, typename ST> int
normL2_(const T* src, const uchar* mask, ST* _result, int len, int cn)
{
ST result = *_result;
if( !mask )
{
result += normL2Sqr<T, ST>(src, len*cn);
}
else
{
for( int i = 0; i < len; i++, src += cn )
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
{
T v = src[k];
result += (ST)v*v;
}
}
}
*_result = result;
return 0;
}
template<typename T, typename ST> int
normDiffInf_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn)
{
ST result = *_result;
if( !mask )
{
result = std::max(result, normInf<T, ST>(src1, src2, len*cn));
}
else
{
for( int i = 0; i < len; i++, src1 += cn, src2 += cn )
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
result = std::max(result, (ST)std::abs(src1[k] - src2[k]));
}
}
*_result = result;
return 0;
}
template<typename T, typename ST> int
normDiffL1_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn)
{
ST result = *_result;
if( !mask )
{
result += normL1<T, ST>(src1, src2, len*cn);
}
else
{
for( int i = 0; i < len; i++, src1 += cn, src2 += cn )
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
result += std::abs(src1[k] - src2[k]);
}
}
*_result = result;
return 0;
}
template<typename T, typename ST> int
normDiffL2_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn)
{
ST result = *_result;
if( !mask )
{
result += normL2Sqr<T, ST>(src1, src2, len*cn);
}
else
{
for( int i = 0; i < len; i++, src1 += cn, src2 += cn )
if( mask[i] )
{
for( int k = 0; k < cn; k++ )
{
ST v = src1[k] - src2[k];
result += v*v;
}
}
}
*_result = result;
return 0;
}
#define CV_DEF_NORM_FUNC(L, suffix, type, ntype) \
static int norm##L##_##suffix(const type* src, const uchar* mask, ntype* r, int len, int cn) \
{ return norm##L##_(src, mask, r, len, cn); } \
static int normDiff##L##_##suffix(const type* src1, const type* src2, \
const uchar* mask, ntype* r, int len, int cn) \
{ return normDiff##L##_(src1, src2, mask, r, (int)len, cn); }
#define CV_DEF_NORM_ALL(suffix, type, inftype, l1type, l2type) \
CV_DEF_NORM_FUNC(Inf, suffix, type, inftype) \
CV_DEF_NORM_FUNC(L1, suffix, type, l1type) \
CV_DEF_NORM_FUNC(L2, suffix, type, l2type)
CV_DEF_NORM_ALL(8u, uchar, int, int, int)
CV_DEF_NORM_ALL(8s, schar, int, int, int)
CV_DEF_NORM_ALL(16u, ushort, int, int, double)
CV_DEF_NORM_ALL(16s, short, int, int, double)
CV_DEF_NORM_ALL(32s, int, int, double, double)
CV_DEF_NORM_ALL(32f, float, float, double, double)
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 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
}
};
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
}
};
return normDiffTab[normType][depth];
}
#ifdef HAVE_OPENCL
static bool ocl_norm( InputArray _src, int normType, InputArray _mask, double & result )
{
const ocl::Device & d = ocl::Device::getDefault();
#ifdef __ANDROID__
if (d.isNVidia())
return false;
#endif
const int cn = _src.channels();
if (cn > 4)
return false;
int type = _src.type(), depth = CV_MAT_DEPTH(type);
bool doubleSupport = d.doubleFPConfig() > 0,
haveMask = _mask.kind() != _InputArray::NONE;
if ( !(normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR) ||
(!doubleSupport && depth == CV_64F))
return false;
UMat src = _src.getUMat();
if (normType == NORM_INF)
{
if (!ocl_minMaxIdx(_src, NULL, &result, NULL, NULL, _mask,
std::max(depth, CV_32S), depth != CV_8U && depth != CV_16U))
return false;
}
else if (normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR)
{
Scalar sc;
bool unstype = depth == CV_8U || depth == CV_16U;
if ( !ocl_sum(haveMask ? src : src.reshape(1), sc, normType == NORM_L2 || normType == NORM_L2SQR ?
OCL_OP_SUM_SQR : (unstype ? OCL_OP_SUM : OCL_OP_SUM_ABS), _mask) )
return false;
double s = 0.0;
for (int i = 0; i < (haveMask ? cn : 1); ++i)
s += sc[i];
result = normType == NORM_L1 || normType == NORM_L2SQR ? s : std::sqrt(s);
}
return true;
}
#endif
#ifdef HAVE_IPP
static bool ipp_norm(Mat &src, int normType, Mat &mask, double &result)
{
CV_INSTRUMENT_REGION_IPP();
#if IPP_VERSION_X100 >= 700
size_t total_size = src.total();
int rows = src.size[0], cols = rows ? (int)(total_size/rows) : 0;
if( (src.dims == 2 || (src.isContinuous() && mask.isContinuous()))
&& cols > 0 && (size_t)rows*cols == total_size )
{
if( !mask.empty() )
{
IppiSize sz = { cols, rows };
int type = src.type();
typedef IppStatus (CV_STDCALL* ippiMaskNormFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskNormFuncC1 ippiNorm_C1MR =
normType == NORM_INF ?
(type == CV_8UC1 ? (ippiMaskNormFuncC1)ippiNorm_Inf_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormFuncC1)ippiNorm_Inf_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormFuncC1)ippiNorm_Inf_32f_C1MR :
0) :
normType == NORM_L1 ?
(type == CV_8UC1 ? (ippiMaskNormFuncC1)ippiNorm_L1_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormFuncC1)ippiNorm_L1_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormFuncC1)ippiNorm_L1_32f_C1MR :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8UC1 ? (ippiMaskNormFuncC1)ippiNorm_L2_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormFuncC1)ippiNorm_L2_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormFuncC1)ippiNorm_L2_32f_C1MR :
0) : 0;
if( ippiNorm_C1MR )
{
Ipp64f norm;
if( CV_INSTRUMENT_FUN_IPP(ippiNorm_C1MR, src.ptr(), (int)src.step[0], mask.ptr(), (int)mask.step[0], sz, &norm) >= 0 )
{
result = (normType == NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return true;
}
}
typedef IppStatus (CV_STDCALL* ippiMaskNormFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *);
ippiMaskNormFuncC3 ippiNorm_C3CMR =
normType == NORM_INF ?
(type == CV_8UC3 ? (ippiMaskNormFuncC3)ippiNorm_Inf_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormFuncC3)ippiNorm_Inf_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormFuncC3)ippiNorm_Inf_32f_C3CMR :
0) :
normType == NORM_L1 ?
(type == CV_8UC3 ? (ippiMaskNormFuncC3)ippiNorm_L1_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormFuncC3)ippiNorm_L1_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormFuncC3)ippiNorm_L1_32f_C3CMR :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8UC3 ? (ippiMaskNormFuncC3)ippiNorm_L2_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormFuncC3)ippiNorm_L2_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormFuncC3)ippiNorm_L2_32f_C3CMR :
0) : 0;
if( ippiNorm_C3CMR )
{
Ipp64f norm1, norm2, norm3;
if( CV_INSTRUMENT_FUN_IPP(ippiNorm_C3CMR, src.data, (int)src.step[0], mask.data, (int)mask.step[0], sz, 1, &norm1) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNorm_C3CMR, src.data, (int)src.step[0], mask.data, (int)mask.step[0], sz, 2, &norm2) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNorm_C3CMR, src.data, (int)src.step[0], mask.data, (int)mask.step[0], sz, 3, &norm3) >= 0)
{
Ipp64f norm =
normType == NORM_INF ? std::max(std::max(norm1, norm2), norm3) :
normType == NORM_L1 ? norm1 + norm2 + norm3 :
normType == NORM_L2 || normType == NORM_L2SQR ? std::sqrt(norm1 * norm1 + norm2 * norm2 + norm3 * norm3) :
0;
result = (normType == NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return true;
}
}
}
else
{
IppiSize sz = { cols*src.channels(), rows };
int type = src.depth();
typedef IppStatus (CV_STDCALL* ippiNormFuncHint)(const void *, int, IppiSize, Ipp64f *, IppHintAlgorithm hint);
typedef IppStatus (CV_STDCALL* ippiNormFuncNoHint)(const void *, int, IppiSize, Ipp64f *);
ippiNormFuncHint ippiNormHint =
normType == NORM_L1 ?
(type == CV_32FC1 ? (ippiNormFuncHint)ippiNorm_L1_32f_C1R :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_32FC1 ? (ippiNormFuncHint)ippiNorm_L2_32f_C1R :
0) : 0;
ippiNormFuncNoHint ippiNorm =
normType == NORM_INF ?
(type == CV_8UC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_8u_C1R :
type == CV_16UC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_16u_C1R :
type == CV_16SC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_16s_C1R :
type == CV_32FC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_32f_C1R :
0) :
normType == NORM_L1 ?
(type == CV_8UC1 ? (ippiNormFuncNoHint)ippiNorm_L1_8u_C1R :
type == CV_16UC1 ? (ippiNormFuncNoHint)ippiNorm_L1_16u_C1R :
type == CV_16SC1 ? (ippiNormFuncNoHint)ippiNorm_L1_16s_C1R :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8UC1 ? (ippiNormFuncNoHint)ippiNorm_L2_8u_C1R :
type == CV_16UC1 ? (ippiNormFuncNoHint)ippiNorm_L2_16u_C1R :
type == CV_16SC1 ? (ippiNormFuncNoHint)ippiNorm_L2_16s_C1R :
0) : 0;
if( ippiNormHint || ippiNorm )
{
Ipp64f norm;
IppStatus ret = ippiNormHint ? CV_INSTRUMENT_FUN_IPP(ippiNormHint, src.ptr(), (int)src.step[0], sz, &norm, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiNorm, src.ptr(), (int)src.step[0], sz, &norm);
if( ret >= 0 )
{
result = (normType == NORM_L2SQR) ? norm * norm : norm;
return true;
}
}
}
}
#else
CV_UNUSED(src); CV_UNUSED(normType); CV_UNUSED(mask); CV_UNUSED(result);
#endif
return false;
}
#endif
} // cv::
double cv::norm( InputArray _src, int normType, InputArray _mask )
{
CV_INSTRUMENT_REGION();
normType &= NORM_TYPE_MASK;
CV_Assert( normType == NORM_INF || normType == NORM_L1 ||
normType == NORM_L2 || normType == NORM_L2SQR ||
((normType == NORM_HAMMING || normType == NORM_HAMMING2) && _src.type() == CV_8U) );
#if defined HAVE_OPENCL || defined HAVE_IPP
double _result = 0;
#endif
#ifdef HAVE_OPENCL
CV_OCL_RUN_(OCL_PERFORMANCE_CHECK(_src.isUMat()) && _src.dims() <= 2,
ocl_norm(_src, normType, _mask, _result),
_result)
#endif
Mat src = _src.getMat(), mask = _mask.getMat();
CV_IPP_RUN(IPP_VERSION_X100 >= 700, ipp_norm(src, normType, mask, _result), _result);
int depth = src.depth(), cn = src.channels();
if( src.isContinuous() && mask.empty() )
{
size_t len = src.total()*cn;
if( len == (size_t)(int)len )
{
if( depth == CV_32F )
{
const float* data = src.ptr<float>();
if( normType == NORM_L2 )
{
double result = 0;
GET_OPTIMIZED(normL2_32f)(data, 0, &result, (int)len, 1);
return std::sqrt(result);
}
if( normType == NORM_L2SQR )
{
double result = 0;
GET_OPTIMIZED(normL2_32f)(data, 0, &result, (int)len, 1);
return result;
}
if( normType == NORM_L1 )
{
double result = 0;
GET_OPTIMIZED(normL1_32f)(data, 0, &result, (int)len, 1);
return result;
}
if( normType == NORM_INF )
{
float result = 0;
GET_OPTIMIZED(normInf_32f)(data, 0, &result, (int)len, 1);
return result;
}
}
if( depth == CV_8U )
{
const uchar* data = src.ptr<uchar>();
if( normType == NORM_HAMMING )
{
return hal::normHamming(data, (int)len);
}
if( normType == NORM_HAMMING2 )
{
return hal::normHamming(data, (int)len, 2);
}
}
}
}
CV_Assert( mask.empty() || mask.type() == CV_8U );
if( normType == NORM_HAMMING || normType == NORM_HAMMING2 )
{
if( !mask.empty() )
{
Mat temp;
bitwise_and(src, mask, temp);
return norm(temp, normType);
}
int cellSize = normType == NORM_HAMMING ? 1 : 2;
const Mat* arrays[] = {&src, 0};
uchar* ptrs[1] = {};
NAryMatIterator it(arrays, ptrs);
int total = (int)it.size;
int result = 0;
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
result += hal::normHamming(ptrs[0], total, cellSize);
}
return result;
}
NormFunc func = getNormFunc(normType >> 1, depth);
CV_Assert( func != 0 );
const Mat* arrays[] = {&src, &mask, 0};
uchar* ptrs[2] = {};
union
{
double d;
int i;
float f;
}
result;
result.d = 0;
NAryMatIterator it(arrays, ptrs);
CV_CheckLT((size_t)it.size, (size_t)INT_MAX, "");
if ((normType == NORM_L1 && depth <= CV_16S) ||
((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S))
{
// 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)
{
for (int j = 0; j < total; j += blockSize)
{
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;
}
}
}
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 )
return result.f;
else
return result.i;
}
else if( normType == NORM_L2 )
return std::sqrt(result.d);
return result.d;
}
//==================================================================================================
#ifdef HAVE_OPENCL
namespace cv {
static bool ocl_norm( InputArray _src1, InputArray _src2, int normType, InputArray _mask, double & result )
{
#ifdef __ANDROID__
if (ocl::Device::getDefault().isNVidia())
return false;
#endif
Scalar sc1, sc2;
int cn = _src1.channels();
if (cn > 4)
return false;
int type = _src1.type(), depth = CV_MAT_DEPTH(type);
bool relative = (normType & NORM_RELATIVE) != 0;
normType &= ~NORM_RELATIVE;
bool normsum = normType == NORM_L1 || normType == NORM_L2 || normType == NORM_L2SQR;
#ifdef __APPLE__
if(normType == NORM_L1 && type == CV_16UC3 && !_mask.empty())
return false;
#endif
if (normsum)
{
if (!ocl_sum(_src1, sc1, normType == NORM_L2 || normType == NORM_L2SQR ?
OCL_OP_SUM_SQR : OCL_OP_SUM, _mask, _src2, relative, sc2))
return false;
}
else
{
if (!ocl_minMaxIdx(_src1, NULL, &sc1[0], NULL, NULL, _mask, std::max(CV_32S, depth),
false, _src2, relative ? &sc2[0] : NULL))
return false;
cn = 1;
}
double s2 = 0;
for (int i = 0; i < cn; ++i)
{
result += sc1[i];
if (relative)
s2 += sc2[i];
}
if (normType == NORM_L2)
{
result = std::sqrt(result);
if (relative)
s2 = std::sqrt(s2);
}
if (relative)
result /= (s2 + DBL_EPSILON);
return true;
}
}
#endif
#ifdef HAVE_IPP
namespace cv
{
static bool ipp_norm(InputArray _src1, InputArray _src2, int normType, InputArray _mask, double &result)
{
CV_INSTRUMENT_REGION_IPP();
#if IPP_VERSION_X100 >= 700
Mat src1 = _src1.getMat(), src2 = _src2.getMat(), mask = _mask.getMat();
if( normType & CV_RELATIVE )
{
normType &= NORM_TYPE_MASK;
size_t total_size = src1.total();
int rows = src1.size[0], cols = rows ? (int)(total_size/rows) : 0;
if( (src1.dims == 2 || (src1.isContinuous() && src2.isContinuous() && mask.isContinuous()))
&& cols > 0 && (size_t)rows*cols == total_size )
{
if( !mask.empty() )
{
IppiSize sz = { cols, rows };
int type = src1.type();
typedef IppStatus (CV_STDCALL* ippiMaskNormDiffFuncC1)(const void *, int, const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskNormDiffFuncC1 ippiNormRel_C1MR =
normType == NORM_INF ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_Inf_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_Inf_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_Inf_32f_C1MR :
0) :
normType == NORM_L1 ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L1_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L1_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L1_32f_C1MR :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L2_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L2_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L2_32f_C1MR :
0) : 0;
if( ippiNormRel_C1MR )
{
Ipp64f norm;
if( CV_INSTRUMENT_FUN_IPP(ippiNormRel_C1MR, src1.ptr(), (int)src1.step[0], src2.ptr(), (int)src2.step[0], mask.ptr(), (int)mask.step[0], sz, &norm) >= 0 )
{
result = (normType == NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return true;
}
}
}
else
{
IppiSize sz = { cols*src1.channels(), rows };
int type = src1.depth();
typedef IppStatus (CV_STDCALL* ippiNormRelFuncHint)(const void *, int, const void *, int, IppiSize, Ipp64f *, IppHintAlgorithm hint);
typedef IppStatus (CV_STDCALL* ippiNormRelFuncNoHint)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiNormRelFuncHint ippiNormRelHint =
normType == NORM_L1 ?
(type == CV_32F ? (ippiNormRelFuncHint)ippiNormRel_L1_32f_C1R :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_32F ? (ippiNormRelFuncHint)ippiNormRel_L2_32f_C1R :
0) : 0;
ippiNormRelFuncNoHint ippiNormRel =
normType == NORM_INF ?
(type == CV_8U ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_8u_C1R :
type == CV_16U ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_16u_C1R :
type == CV_16S ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_16s_C1R :
type == CV_32F ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_32f_C1R :
0) :
normType == NORM_L1 ?
(type == CV_8U ? (ippiNormRelFuncNoHint)ippiNormRel_L1_8u_C1R :
type == CV_16U ? (ippiNormRelFuncNoHint)ippiNormRel_L1_16u_C1R :
type == CV_16S ? (ippiNormRelFuncNoHint)ippiNormRel_L1_16s_C1R :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8U ? (ippiNormRelFuncNoHint)ippiNormRel_L2_8u_C1R :
type == CV_16U ? (ippiNormRelFuncNoHint)ippiNormRel_L2_16u_C1R :
type == CV_16S ? (ippiNormRelFuncNoHint)ippiNormRel_L2_16s_C1R :
0) : 0;
if( ippiNormRelHint || ippiNormRel )
{
Ipp64f norm;
IppStatus ret = ippiNormRelHint ? CV_INSTRUMENT_FUN_IPP(ippiNormRelHint, src1.ptr(), (int)src1.step[0], src2.ptr(), (int)src2.step[0], sz, &norm, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiNormRel, src1.ptr(), (int)src1.step[0], src2.ptr(), (int)src2.step[0], sz, &norm);
if( ret >= 0 )
{
result = (normType == NORM_L2SQR) ? norm * norm : norm;
return true;
}
}
}
}
return false;
}
normType &= NORM_TYPE_MASK;
size_t total_size = src1.total();
int rows = src1.size[0], cols = rows ? (int)(total_size/rows) : 0;
if( (src1.dims == 2 || (src1.isContinuous() && src2.isContinuous() && mask.isContinuous()))
&& cols > 0 && (size_t)rows*cols == total_size )
{
if( !mask.empty() )
{
IppiSize sz = { cols, rows };
int type = src1.type();
typedef IppStatus (CV_STDCALL* ippiMaskNormDiffFuncC1)(const void *, int, const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskNormDiffFuncC1 ippiNormDiff_C1MR =
normType == NORM_INF ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_Inf_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_Inf_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_Inf_32f_C1MR :
0) :
normType == NORM_L1 ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L1_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L1_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L1_32f_C1MR :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L2_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L2_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L2_32f_C1MR :
0) : 0;
if( ippiNormDiff_C1MR )
{
Ipp64f norm;
if( CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C1MR, src1.ptr(), (int)src1.step[0], src2.ptr(), (int)src2.step[0], mask.ptr(), (int)mask.step[0], sz, &norm) >= 0 )
{
result = (normType == NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return true;
}
}
typedef IppStatus (CV_STDCALL* ippiMaskNormDiffFuncC3)(const void *, int, const void *, int, const void *, int, IppiSize, int, Ipp64f *);
ippiMaskNormDiffFuncC3 ippiNormDiff_C3CMR =
normType == NORM_INF ?
(type == CV_8UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_Inf_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_Inf_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_Inf_32f_C3CMR :
0) :
normType == NORM_L1 ?
(type == CV_8UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L1_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L1_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L1_32f_C3CMR :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L2_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L2_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L2_32f_C3CMR :
0) : 0;
if (cv::ipp::getIppTopFeatures() & (
#if IPP_VERSION_X100 >= 201700
ippCPUID_AVX512F |
#endif
ippCPUID_AVX2)
) // IPP_DISABLE_NORM_16UC3_mask_small (#11399)
{
if (normType == NORM_L1 && type == CV_16UC3 && sz.width < 16)
return false;
}
if( ippiNormDiff_C3CMR )
{
Ipp64f norm1, norm2, norm3;
if( CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C3CMR, src1.data, (int)src1.step[0], src2.data, (int)src2.step[0], mask.data, (int)mask.step[0], sz, 1, &norm1) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C3CMR, src1.data, (int)src1.step[0], src2.data, (int)src2.step[0], mask.data, (int)mask.step[0], sz, 2, &norm2) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C3CMR, src1.data, (int)src1.step[0], src2.data, (int)src2.step[0], mask.data, (int)mask.step[0], sz, 3, &norm3) >= 0)
{
Ipp64f norm =
normType == NORM_INF ? std::max(std::max(norm1, norm2), norm3) :
normType == NORM_L1 ? norm1 + norm2 + norm3 :
normType == NORM_L2 || normType == NORM_L2SQR ? std::sqrt(norm1 * norm1 + norm2 * norm2 + norm3 * norm3) :
0;
result = (normType == NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return true;
}
}
}
else
{
IppiSize sz = { cols*src1.channels(), rows };
int type = src1.depth();
typedef IppStatus (CV_STDCALL* ippiNormDiffFuncHint)(const void *, int, const void *, int, IppiSize, Ipp64f *, IppHintAlgorithm hint);
typedef IppStatus (CV_STDCALL* ippiNormDiffFuncNoHint)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiNormDiffFuncHint ippiNormDiffHint =
normType == NORM_L1 ?
(type == CV_32F ? (ippiNormDiffFuncHint)ippiNormDiff_L1_32f_C1R :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_32F ? (ippiNormDiffFuncHint)ippiNormDiff_L2_32f_C1R :
0) : 0;
ippiNormDiffFuncNoHint ippiNormDiff =
normType == NORM_INF ?
(type == CV_8U ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_8u_C1R :
type == CV_16U ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_16u_C1R :
type == CV_16S ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_16s_C1R :
type == CV_32F ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_32f_C1R :
0) :
normType == NORM_L1 ?
(type == CV_8U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_8u_C1R :
type == CV_16U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16u_C1R :
type == CV_16S ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16s_C1R :
0) :
normType == NORM_L2 || normType == NORM_L2SQR ?
(type == CV_8U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L2_8u_C1R :
type == CV_16U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L2_16u_C1R :
type == CV_16S ? (ippiNormDiffFuncNoHint)ippiNormDiff_L2_16s_C1R :
0) : 0;
if( ippiNormDiffHint || ippiNormDiff )
{
Ipp64f norm;
IppStatus ret = ippiNormDiffHint ? CV_INSTRUMENT_FUN_IPP(ippiNormDiffHint, src1.ptr(), (int)src1.step[0], src2.ptr(), (int)src2.step[0], sz, &norm, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiNormDiff, src1.ptr(), (int)src1.step[0], src2.ptr(), (int)src2.step[0], sz, &norm);
if( ret >= 0 )
{
result = (normType == NORM_L2SQR) ? norm * norm : norm;
return true;
}
}
}
}
#else
CV_UNUSED(_src1); CV_UNUSED(_src2); CV_UNUSED(normType); CV_UNUSED(_mask); CV_UNUSED(result);
#endif
return false;
}
}
#endif
double cv::norm( InputArray _src1, InputArray _src2, int normType, InputArray _mask )
{
CV_INSTRUMENT_REGION();
CV_CheckTypeEQ(_src1.type(), _src2.type(), "Input type mismatch");
CV_Assert(_src1.sameSize(_src2));
#if defined HAVE_OPENCL || defined HAVE_IPP
double _result = 0;
#endif
#ifdef HAVE_OPENCL
CV_OCL_RUN_(OCL_PERFORMANCE_CHECK(_src1.isUMat()),
ocl_norm(_src1, _src2, normType, _mask, _result),
_result)
#endif
CV_IPP_RUN(IPP_VERSION_X100 >= 700, ipp_norm(_src1, _src2, normType, _mask, _result), _result);
if( normType & CV_RELATIVE )
{
return norm(_src1, _src2, normType & ~CV_RELATIVE, _mask)/(norm(_src2, normType, _mask) + DBL_EPSILON);
}
Mat src1 = _src1.getMat(), src2 = _src2.getMat(), mask = _mask.getMat();
int depth = src1.depth(), cn = src1.channels();
normType &= 7;
CV_Assert( normType == NORM_INF || normType == NORM_L1 ||
normType == NORM_L2 || normType == NORM_L2SQR ||
((normType == NORM_HAMMING || normType == NORM_HAMMING2) && src1.type() == CV_8U) );
if( src1.isContinuous() && src2.isContinuous() && mask.empty() )
{
size_t len = src1.total()*src1.channels();
if( len == (size_t)(int)len )
{
if( src1.depth() == CV_32F )
{
const float* data1 = src1.ptr<float>();
const float* data2 = src2.ptr<float>();
if( normType == NORM_L2 )
{
double result = 0;
GET_OPTIMIZED(normDiffL2_32f)(data1, data2, 0, &result, (int)len, 1);
return std::sqrt(result);
}
if( normType == NORM_L2SQR )
{
double result = 0;
GET_OPTIMIZED(normDiffL2_32f)(data1, data2, 0, &result, (int)len, 1);
return result;
}
if( normType == NORM_L1 )
{
double result = 0;
GET_OPTIMIZED(normDiffL1_32f)(data1, data2, 0, &result, (int)len, 1);
return result;
}
if( normType == NORM_INF )
{
float result = 0;
GET_OPTIMIZED(normDiffInf_32f)(data1, data2, 0, &result, (int)len, 1);
return result;
}
}
}
}
CV_Assert( mask.empty() || mask.type() == CV_8U );
if( normType == NORM_HAMMING || normType == NORM_HAMMING2 )
{
if( !mask.empty() )
{
Mat temp;
bitwise_xor(src1, src2, temp);
bitwise_and(temp, mask, temp);
return norm(temp, normType);
}
int cellSize = normType == NORM_HAMMING ? 1 : 2;
const Mat* arrays[] = {&src1, &src2, 0};
uchar* ptrs[2] = {};
NAryMatIterator it(arrays, ptrs);
int total = (int)it.size;
int result = 0;
for( size_t i = 0; i < it.nplanes; i++, ++it )
{
result += hal::normHamming(ptrs[0], ptrs[1], total, cellSize);
}
return result;
}
NormDiffFunc func = getNormDiffFunc(normType >> 1, depth);
CV_Assert( func != 0 );
const Mat* arrays[] = {&src1, &src2, &mask, 0};
uchar* ptrs[3] = {};
union
{
double d;
float f;
int i;
unsigned u;
}
result;
result.d = 0;
NAryMatIterator it(arrays, ptrs);
CV_CheckLT((size_t)it.size, (size_t)INT_MAX, "");
if ((normType == NORM_L1 && depth <= CV_16S) ||
((normType == NORM_L2 || normType == NORM_L2SQR) && depth <= CV_8S))
{
// 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)
{
for (int j = 0; j < total; j += blockSize)
{
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;
}
}
}
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 )
return result.f;
else
return result.u;
}
else if( normType == NORM_L2 )
return std::sqrt(result.d);
return result.d;
}
cv::Hamming::ResultType cv::Hamming::operator()( const unsigned char* a, const unsigned char* b, int size ) const
{
return cv::hal::normHamming(a, b, size);
}
double cv::PSNR(InputArray _src1, InputArray _src2)
{
CV_INSTRUMENT_REGION();
//Input arrays must have depth CV_8U
CV_Assert( _src1.depth() == CV_8U && _src2.depth() == CV_8U );
double diff = std::sqrt(norm(_src1, _src2, NORM_L2SQR)/(_src1.total()*_src1.channels()));
return 20*log10(255./(diff+DBL_EPSILON));
}