BUG=webrtc:5259 Review URL: https://codereview.webrtc.org/1508793002 Cr-Commit-Position: refs/heads/master@{#10925}
272 lines
11 KiB
C++
272 lines
11 KiB
C++
/*
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* Copyright (c) 2012 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "webrtc/modules/video_processing/content_analysis.h"
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#include <emmintrin.h>
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#include <math.h>
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namespace webrtc {
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int32_t VPMContentAnalysis::TemporalDiffMetric_SSE2() {
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uint32_t num_pixels = 0; // counter for # of pixels
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const uint8_t* imgBufO = orig_frame_ + border_ * width_ + border_;
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const uint8_t* imgBufP = prev_frame_ + border_ * width_ + border_;
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const int32_t width_end = ((width_ - 2 * border_) & -16) + border_;
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__m128i sad_64 = _mm_setzero_si128();
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__m128i sum_64 = _mm_setzero_si128();
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__m128i sqsum_64 = _mm_setzero_si128();
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const __m128i z = _mm_setzero_si128();
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for (uint16_t i = 0; i < (height_ - 2 * border_); i += skip_num_) {
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__m128i sqsum_32 = _mm_setzero_si128();
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const uint8_t* lineO = imgBufO;
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const uint8_t* lineP = imgBufP;
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// Work on 16 pixels at a time. For HD content with a width of 1920
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// this loop will run ~67 times (depending on border). Maximum for
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// abs(o-p) and sum(o) will be 255. _mm_sad_epu8 produces 2 64 bit
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// results which are then accumulated. There is no chance of
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// rollover for these two accumulators.
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// o*o will have a maximum of 255*255 = 65025. This will roll over
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// a 16 bit accumulator as 67*65025 > 65535, but will fit in a
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// 32 bit accumulator.
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for (uint16_t j = 0; j < width_end - border_; j += 16) {
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const __m128i o = _mm_loadu_si128((__m128i*)(lineO));
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const __m128i p = _mm_loadu_si128((__m128i*)(lineP));
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lineO += 16;
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lineP += 16;
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// Abs pixel difference between frames.
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sad_64 = _mm_add_epi64(sad_64, _mm_sad_epu8(o, p));
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// sum of all pixels in frame
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sum_64 = _mm_add_epi64(sum_64, _mm_sad_epu8(o, z));
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// Squared sum of all pixels in frame.
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const __m128i olo = _mm_unpacklo_epi8(o, z);
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const __m128i ohi = _mm_unpackhi_epi8(o, z);
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const __m128i sqsum_32_lo = _mm_madd_epi16(olo, olo);
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const __m128i sqsum_32_hi = _mm_madd_epi16(ohi, ohi);
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sqsum_32 = _mm_add_epi32(sqsum_32, sqsum_32_lo);
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sqsum_32 = _mm_add_epi32(sqsum_32, sqsum_32_hi);
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}
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// Add to 64 bit running sum as to not roll over.
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sqsum_64 =
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_mm_add_epi64(sqsum_64, _mm_add_epi64(_mm_unpackhi_epi32(sqsum_32, z),
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_mm_unpacklo_epi32(sqsum_32, z)));
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imgBufO += width_ * skip_num_;
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imgBufP += width_ * skip_num_;
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num_pixels += (width_end - border_);
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}
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__m128i sad_final_128;
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__m128i sum_final_128;
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__m128i sqsum_final_128;
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// Bring sums out of vector registers and into integer register
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// domain, summing them along the way.
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_mm_store_si128(&sad_final_128, sad_64);
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_mm_store_si128(&sum_final_128, sum_64);
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_mm_store_si128(&sqsum_final_128, sqsum_64);
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uint64_t* sad_final_64 = reinterpret_cast<uint64_t*>(&sad_final_128);
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uint64_t* sum_final_64 = reinterpret_cast<uint64_t*>(&sum_final_128);
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uint64_t* sqsum_final_64 = reinterpret_cast<uint64_t*>(&sqsum_final_128);
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const uint32_t pixelSum = sum_final_64[0] + sum_final_64[1];
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const uint64_t pixelSqSum = sqsum_final_64[0] + sqsum_final_64[1];
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const uint32_t tempDiffSum = sad_final_64[0] + sad_final_64[1];
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// Default.
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motion_magnitude_ = 0.0f;
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if (tempDiffSum == 0)
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return VPM_OK;
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// Normalize over all pixels.
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const float tempDiffAvg =
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static_cast<float>(tempDiffSum) / static_cast<float>(num_pixels);
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const float pixelSumAvg =
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static_cast<float>(pixelSum) / static_cast<float>(num_pixels);
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const float pixelSqSumAvg =
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static_cast<float>(pixelSqSum) / static_cast<float>(num_pixels);
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float contrast = pixelSqSumAvg - (pixelSumAvg * pixelSumAvg);
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if (contrast > 0.0) {
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contrast = sqrt(contrast);
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motion_magnitude_ = tempDiffAvg / contrast;
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}
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return VPM_OK;
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}
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int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
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const uint8_t* imgBuf = orig_frame_ + border_ * width_;
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const int32_t width_end = ((width_ - 2 * border_) & -16) + border_;
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__m128i se_32 = _mm_setzero_si128();
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__m128i sev_32 = _mm_setzero_si128();
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__m128i seh_32 = _mm_setzero_si128();
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__m128i msa_32 = _mm_setzero_si128();
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const __m128i z = _mm_setzero_si128();
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// Error is accumulated as a 32 bit value. Looking at HD content with a
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// height of 1080 lines, or about 67 macro blocks. If the 16 bit row
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// value is maxed out at 65529 for every row, 65529*1080 = 70777800, which
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// will not roll over a 32 bit accumulator.
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// skip_num_ is also used to reduce the number of rows
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for (int32_t i = 0; i < (height_ - 2 * border_); i += skip_num_) {
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__m128i se_16 = _mm_setzero_si128();
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__m128i sev_16 = _mm_setzero_si128();
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__m128i seh_16 = _mm_setzero_si128();
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__m128i msa_16 = _mm_setzero_si128();
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// Row error is accumulated as a 16 bit value. There are 8
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// accumulators. Max value of a 16 bit number is 65529. Looking
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// at HD content, 1080p, has a width of 1920, 120 macro blocks.
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// A mb at a time is processed at a time. Absolute max error at
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// a point would be abs(0-255+255+255+255) which equals 1020.
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// 120*1020 = 122400. The probability of hitting this is quite low
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// on well behaved content. A specially crafted image could roll over.
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// border_ could also be adjusted to concentrate on just the center of
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// the images for an HD capture in order to reduce the possiblity of
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// rollover.
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const uint8_t* lineTop = imgBuf - width_ + border_;
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const uint8_t* lineCen = imgBuf + border_;
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const uint8_t* lineBot = imgBuf + width_ + border_;
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for (int32_t j = 0; j < width_end - border_; j += 16) {
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const __m128i t = _mm_loadu_si128((__m128i*)(lineTop));
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const __m128i l = _mm_loadu_si128((__m128i*)(lineCen - 1));
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const __m128i c = _mm_loadu_si128((__m128i*)(lineCen));
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const __m128i r = _mm_loadu_si128((__m128i*)(lineCen + 1));
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const __m128i b = _mm_loadu_si128((__m128i*)(lineBot));
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lineTop += 16;
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lineCen += 16;
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lineBot += 16;
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// center pixel unpacked
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__m128i clo = _mm_unpacklo_epi8(c, z);
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__m128i chi = _mm_unpackhi_epi8(c, z);
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// left right pixels unpacked and added together
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const __m128i lrlo =
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_mm_add_epi16(_mm_unpacklo_epi8(l, z), _mm_unpacklo_epi8(r, z));
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const __m128i lrhi =
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_mm_add_epi16(_mm_unpackhi_epi8(l, z), _mm_unpackhi_epi8(r, z));
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// top & bottom pixels unpacked and added together
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const __m128i tblo =
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_mm_add_epi16(_mm_unpacklo_epi8(t, z), _mm_unpacklo_epi8(b, z));
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const __m128i tbhi =
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_mm_add_epi16(_mm_unpackhi_epi8(t, z), _mm_unpackhi_epi8(b, z));
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// running sum of all pixels
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msa_16 = _mm_add_epi16(msa_16, _mm_add_epi16(chi, clo));
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clo = _mm_slli_epi16(clo, 1);
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chi = _mm_slli_epi16(chi, 1);
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const __m128i sevtlo = _mm_subs_epi16(clo, tblo);
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const __m128i sevthi = _mm_subs_epi16(chi, tbhi);
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const __m128i sehtlo = _mm_subs_epi16(clo, lrlo);
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const __m128i sehthi = _mm_subs_epi16(chi, lrhi);
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clo = _mm_slli_epi16(clo, 1);
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chi = _mm_slli_epi16(chi, 1);
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const __m128i setlo = _mm_subs_epi16(clo, _mm_add_epi16(lrlo, tblo));
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const __m128i sethi = _mm_subs_epi16(chi, _mm_add_epi16(lrhi, tbhi));
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// Add to 16 bit running sum
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se_16 =
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_mm_add_epi16(se_16, _mm_max_epi16(setlo, _mm_subs_epi16(z, setlo)));
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se_16 =
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_mm_add_epi16(se_16, _mm_max_epi16(sethi, _mm_subs_epi16(z, sethi)));
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sev_16 = _mm_add_epi16(sev_16,
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_mm_max_epi16(sevtlo, _mm_subs_epi16(z, sevtlo)));
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sev_16 = _mm_add_epi16(sev_16,
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_mm_max_epi16(sevthi, _mm_subs_epi16(z, sevthi)));
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seh_16 = _mm_add_epi16(seh_16,
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_mm_max_epi16(sehtlo, _mm_subs_epi16(z, sehtlo)));
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seh_16 = _mm_add_epi16(seh_16,
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_mm_max_epi16(sehthi, _mm_subs_epi16(z, sehthi)));
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}
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// Add to 32 bit running sum as to not roll over.
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se_32 = _mm_add_epi32(se_32, _mm_add_epi32(_mm_unpackhi_epi16(se_16, z),
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_mm_unpacklo_epi16(se_16, z)));
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sev_32 =
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_mm_add_epi32(sev_32, _mm_add_epi32(_mm_unpackhi_epi16(sev_16, z),
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_mm_unpacklo_epi16(sev_16, z)));
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seh_32 =
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_mm_add_epi32(seh_32, _mm_add_epi32(_mm_unpackhi_epi16(seh_16, z),
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_mm_unpacklo_epi16(seh_16, z)));
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msa_32 =
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_mm_add_epi32(msa_32, _mm_add_epi32(_mm_unpackhi_epi16(msa_16, z),
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_mm_unpacklo_epi16(msa_16, z)));
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imgBuf += width_ * skip_num_;
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}
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__m128i se_128;
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__m128i sev_128;
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__m128i seh_128;
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__m128i msa_128;
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// Bring sums out of vector registers and into integer register
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// domain, summing them along the way.
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_mm_store_si128(&se_128, _mm_add_epi64(_mm_unpackhi_epi32(se_32, z),
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_mm_unpacklo_epi32(se_32, z)));
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_mm_store_si128(&sev_128, _mm_add_epi64(_mm_unpackhi_epi32(sev_32, z),
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_mm_unpacklo_epi32(sev_32, z)));
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_mm_store_si128(&seh_128, _mm_add_epi64(_mm_unpackhi_epi32(seh_32, z),
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_mm_unpacklo_epi32(seh_32, z)));
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_mm_store_si128(&msa_128, _mm_add_epi64(_mm_unpackhi_epi32(msa_32, z),
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_mm_unpacklo_epi32(msa_32, z)));
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uint64_t* se_64 = reinterpret_cast<uint64_t*>(&se_128);
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uint64_t* sev_64 = reinterpret_cast<uint64_t*>(&sev_128);
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uint64_t* seh_64 = reinterpret_cast<uint64_t*>(&seh_128);
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uint64_t* msa_64 = reinterpret_cast<uint64_t*>(&msa_128);
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const uint32_t spatialErrSum = se_64[0] + se_64[1];
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const uint32_t spatialErrVSum = sev_64[0] + sev_64[1];
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const uint32_t spatialErrHSum = seh_64[0] + seh_64[1];
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const uint32_t pixelMSA = msa_64[0] + msa_64[1];
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// Normalize over all pixels.
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const float spatialErr = static_cast<float>(spatialErrSum >> 2);
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const float spatialErrH = static_cast<float>(spatialErrHSum >> 1);
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const float spatialErrV = static_cast<float>(spatialErrVSum >> 1);
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const float norm = static_cast<float>(pixelMSA);
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// 2X2:
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spatial_pred_err_ = spatialErr / norm;
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// 1X2:
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spatial_pred_err_h_ = spatialErrH / norm;
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// 2X1:
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spatial_pred_err_v_ = spatialErrV / norm;
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return VPM_OK;
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}
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} // namespace webrtc
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