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Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/3rdparty/carotene/src/meanstddev.cpp
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/*
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* By downloading, copying, installing or using the software you agree to this license.
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* If you do not agree to this license, do not download, install,
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* copy or use the software.
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*
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*
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* License Agreement
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* For Open Source Computer Vision Library
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* (3-clause BSD License)
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*
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* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
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* Third party copyrights are property of their respective owners.
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*
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* Redistribution and use in source and binary forms, with or without modification,
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* are permitted provided that the following conditions are met:
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*
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* * Redistributions of source code must retain the above copyright notice,
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* this list of conditions and the following disclaimer.
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*
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* * Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* * Neither the names of the copyright holders nor the names of the contributors
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* may be used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* This software is provided by the copyright holders and contributors "as is" and
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* any express or implied warranties, including, but not limited to, the implied
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* warranties of merchantability and fitness for a particular purpose are disclaimed.
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* In no event shall copyright holders or contributors be liable for any direct,
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* indirect, incidental, special, exemplary, or consequential damages
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* (including, but not limited to, procurement of substitute goods or services;
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* loss of use, data, or profits; or business interruption) however caused
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* and on any theory of liability, whether in contract, strict liability,
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* or tort (including negligence or otherwise) arising in any way out of
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* the use of this software, even if advised of the possibility of such damage.
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*/
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#include "common.hpp"
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#include <cmath>
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namespace CAROTENE_NS {
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void meanStdDev(const Size2D &size,
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const u8 * srcBase, ptrdiff_t srcStride,
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f32 * pMean, f32 * pStdDev)
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{
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internal::assertSupportedConfiguration();
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#ifdef CAROTENE_NEON
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f64 fsum = 0.0f, fsqsum = 0.0f;
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sqsum(size, srcBase, srcStride, &fsum, &fsqsum, 1);
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// calc mean and stddev
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f64 itotal = 1.0 / size.total();
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f64 mean = fsum * itotal;
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f64 stddev = sqrt(std::max(fsqsum * itotal - mean * mean, 0.0));
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if (pMean)
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*pMean = mean;
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if (pStdDev)
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*pStdDev = stddev;
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#else
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(void)size;
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(void)srcBase;
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(void)srcStride;
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(void)pMean;
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(void)pStdDev;
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#endif
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}
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void meanStdDev(const Size2D &size,
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const u16 * srcBase, ptrdiff_t srcStride,
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f32 * pMean, f32 * pStdDev)
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{
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internal::assertSupportedConfiguration();
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#ifdef CAROTENE_NEON
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size_t blockSize0 = 1 << 10, roiw4 = size.width & ~3;
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f64 fsum = 0.0f, fsqsum = 0.0f;
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f32 arsum[8];
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uint32x4_t v_zero = vdupq_n_u32(0u), v_sum;
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float32x4_t v_zero_f = vdupq_n_f32(0.0f), v_sqsum;
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for (size_t i = 0; i < size.height; ++i)
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{
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const u16 * src = internal::getRowPtr(srcBase, srcStride, i);
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size_t j = 0u;
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while (j < roiw4)
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{
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size_t blockSize = std::min(roiw4 - j, blockSize0) + j;
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v_sum = v_zero;
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v_sqsum = v_zero_f;
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for ( ; j + 16 < blockSize ; j += 16)
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{
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internal::prefetch(src + j);
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uint16x8_t v_src0 = vld1q_u16(src + j), v_src1 = vld1q_u16(src + j + 8);
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// 0
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uint32x4_t v_srclo = vmovl_u16(vget_low_u16(v_src0));
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uint32x4_t v_srchi = vmovl_u16(vget_high_u16(v_src0));
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v_sum = vaddq_u32(v_sum, vaddq_u32(v_srclo, v_srchi));
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float32x4_t v_srclo_f = vcvtq_f32_u32(v_srclo);
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float32x4_t v_srchi_f = vcvtq_f32_u32(v_srchi);
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v_sqsum = vmlaq_f32(v_sqsum, v_srclo_f, v_srclo_f);
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v_sqsum = vmlaq_f32(v_sqsum, v_srchi_f, v_srchi_f);
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// 1
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v_srclo = vmovl_u16(vget_low_u16(v_src1));
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v_srchi = vmovl_u16(vget_high_u16(v_src1));
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v_sum = vaddq_u32(v_sum, vaddq_u32(v_srclo, v_srchi));
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v_srclo_f = vcvtq_f32_u32(v_srclo);
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v_srchi_f = vcvtq_f32_u32(v_srchi);
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v_sqsum = vmlaq_f32(v_sqsum, v_srclo_f, v_srclo_f);
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v_sqsum = vmlaq_f32(v_sqsum, v_srchi_f, v_srchi_f);
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}
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for ( ; j < blockSize; j += 4)
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{
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uint32x4_t v_src = vmovl_u16(vld1_u16(src + j));
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float32x4_t v_src_f = vcvtq_f32_u32(v_src);
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v_sum = vaddq_u32(v_sum, v_src);
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v_sqsum = vmlaq_f32(v_sqsum, v_src_f, v_src_f);
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}
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vst1q_f32(arsum, vcvtq_f32_u32(v_sum));
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vst1q_f32(arsum + 4, v_sqsum);
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fsum += (f64)arsum[0] + arsum[1] + arsum[2] + arsum[3];
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fsqsum += (f64)arsum[4] + arsum[5] + arsum[6] + arsum[7];
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}
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// collect a few last elements in the current row
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for ( ; j < size.width; ++j)
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{
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f32 srcval = src[j];
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fsum += srcval;
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fsqsum += srcval * srcval;
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}
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}
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// calc mean and stddev
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f64 itotal = 1.0 / size.total();
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f64 mean = fsum * itotal;
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f64 stddev = sqrt(std::max(fsqsum * itotal - mean * mean, 0.0));
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if (pMean)
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*pMean = mean;
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if (pStdDev)
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*pStdDev = stddev;
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#else
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(void)size;
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(void)srcBase;
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(void)srcStride;
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(void)pMean;
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(void)pStdDev;
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#endif
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}
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} // namespace CAROTENE_NS
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