// 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_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_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_AVX2 float CV_DECL_ALIGNED(32) buf[8]; __m256 d0 = _mm256_setzero_ps(); for( ; j <= n - 8; j += 8 ) { __m256 t0 = _mm256_sub_ps(_mm256_loadu_ps(a + j), _mm256_loadu_ps(b + j)); #if CV_FMA3 d0 = _mm256_fmadd_ps(t0, t0, d0); #else d0 = _mm256_add_ps(d0, _mm256_mul_ps(t0, t0)); #endif } _mm256_store_ps(buf, d0); d = buf[0] + buf[1] + buf[2] + buf[3] + buf[4] + buf[5] + buf[6] + buf[7]; #elif CV_SSE float CV_DECL_ALIGNED(16) buf[4]; __m128 d0 = _mm_setzero_ps(), d1 = _mm_setzero_ps(); for( ; j <= n - 8; j += 8 ) { __m128 t0 = _mm_sub_ps(_mm_loadu_ps(a + j), _mm_loadu_ps(b + j)); __m128 t1 = _mm_sub_ps(_mm_loadu_ps(a + j + 4), _mm_loadu_ps(b + j + 4)); d0 = _mm_add_ps(d0, _mm_mul_ps(t0, t0)); d1 = _mm_add_ps(d1, _mm_mul_ps(t1, t1)); } _mm_store_ps(buf, _mm_add_ps(d0, d1)); d = buf[0] + buf[1] + buf[2] + buf[3]; #endif { for( ; j <= n - 4; j += 4 ) { float t0 = a[j] - b[j], t1 = a[j+1] - b[j+1], t2 = a[j+2] - b[j+2], t3 = a[j+3] - b[j+3]; d += t0*t0 + t1*t1 + t2*t2 + t3*t3; } } 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_SSE float CV_DECL_ALIGNED(16) buf[4]; static const int CV_DECL_ALIGNED(16) absbuf[4] = {0x7fffffff, 0x7fffffff, 0x7fffffff, 0x7fffffff}; __m128 d0 = _mm_setzero_ps(), d1 = _mm_setzero_ps(); __m128 absmask = _mm_load_ps((const float*)absbuf); for( ; j <= n - 8; j += 8 ) { __m128 t0 = _mm_sub_ps(_mm_loadu_ps(a + j), _mm_loadu_ps(b + j)); __m128 t1 = _mm_sub_ps(_mm_loadu_ps(a + j + 4), _mm_loadu_ps(b + j + 4)); d0 = _mm_add_ps(d0, _mm_and_ps(t0, absmask)); d1 = _mm_add_ps(d1, _mm_and_ps(t1, absmask)); } _mm_store_ps(buf, _mm_add_ps(d0, d1)); d = buf[0] + buf[1] + buf[2] + buf[3]; #elif CV_NEON float32x4_t v_sum = vdupq_n_f32(0.0f); for ( ; j <= n - 4; j += 4) v_sum = vaddq_f32(v_sum, vabdq_f32(vld1q_f32(a + j), vld1q_f32(b + j))); float CV_DECL_ALIGNED(16) buf[4]; vst1q_f32(buf, v_sum); d = buf[0] + buf[1] + buf[2] + buf[3]; #endif { for( ; j <= n - 4; j += 4 ) { d += std::abs(a[j] - b[j]) + std::abs(a[j+1] - b[j+1]) + std::abs(a[j+2] - b[j+2]) + std::abs(a[j+3] - b[j+3]); } } 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_SSE __m128i d0 = _mm_setzero_si128(); for( ; j <= n - 16; j += 16 ) { __m128i t0 = _mm_loadu_si128((const __m128i*)(a + j)); __m128i t1 = _mm_loadu_si128((const __m128i*)(b + j)); d0 = _mm_add_epi32(d0, _mm_sad_epu8(t0, t1)); } for( ; j <= n - 4; j += 4 ) { __m128i t0 = _mm_cvtsi32_si128(*(const int*)(a + j)); __m128i t1 = _mm_cvtsi32_si128(*(const int*)(b + j)); d0 = _mm_add_epi32(d0, _mm_sad_epu8(t0, t1)); } d = _mm_cvtsi128_si32(_mm_add_epi32(d0, _mm_unpackhi_epi64(d0, d0))); #elif CV_NEON uint32x4_t v_sum = vdupq_n_u32(0.0f); for ( ; j <= n - 16; j += 16) { uint8x16_t v_dst = vabdq_u8(vld1q_u8(a + j), vld1q_u8(b + j)); uint16x8_t v_low = vmovl_u8(vget_low_u8(v_dst)), v_high = vmovl_u8(vget_high_u8(v_dst)); v_sum = vaddq_u32(v_sum, vaddl_u16(vget_low_u16(v_low), vget_low_u16(v_high))); v_sum = vaddq_u32(v_sum, vaddl_u16(vget_high_u16(v_low), vget_high_u16(v_high))); } uint CV_DECL_ALIGNED(16) buf[4]; vst1q_u32(buf, v_sum); d = buf[0] + buf[1] + buf[2] + buf[3]; #endif { for( ; j <= n - 4; j += 4 ) { d += std::abs(a[j] - b[j]) + std::abs(a[j+1] - b[j+1]) + std::abs(a[j+2] - b[j+2]) + std::abs(a[j+3] - b[j+3]); } } for( ; j < n; j++ ) d += std::abs(a[j] - b[j]); return d; } }} //cv::hal //================================================================================================== namespace cv { template int normInf_(const T* src, const uchar* mask, ST* _result, int len, int cn) { ST result = *_result; if( !mask ) { result = std::max(result, normInf(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 int normL1_(const T* src, const uchar* mask, ST* _result, int len, int cn) { ST result = *_result; if( !mask ) { result += normL1(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 int normL2_(const T* src, const uchar* mask, ST* _result, int len, int cn) { ST result = *_result; if( !mask ) { result += normL2Sqr(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 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(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 int normDiffL1_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn) { ST result = *_result; if( !mask ) { result += normL1(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 int normDiffL2_(const T* src1, const T* src2, const uchar* mask, ST* _result, int len, int cn) { ST result = *_result; if( !mask ) { result += normL2Sqr(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(); 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(); 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); 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(); } for( size_t i = 0; i < it.nplanes; i++, ++it ) { for( j = 0; j < total; j += blockSize ) { 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)) ) { result.d += isum; isum = 0; count = 0; } ptrs[0] += bsz*esz; if( ptrs[1] ) ptrs[1] += bsz; } } if( normType == NORM_INF ) { if( depth == CV_64F ) ; else if( depth == CV_32F ) result.d = result.f; else result.d = result.i; } else if( normType == NORM_L2 ) result.d = 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_Assert( _src1.sameSize(_src2) && _src1.type() == _src2.type() ); #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(); const float* data2 = src2.ptr(); 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); 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(); } for( size_t i = 0; i < it.nplanes; i++, ++it ) { for( j = 0; j < total; j += blockSize ) { 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)) ) { result.d += isum; isum = 0; count = 0; } ptrs[0] += bsz*esz; ptrs[1] += bsz*esz; if( ptrs[2] ) ptrs[2] += bsz; } } if( normType == NORM_INF ) { if( depth == CV_64F ) ; else if( depth == CV_32F ) result.d = result.f; else result.d = result.u; } else if( normType == NORM_L2 ) result.d = 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)); }