zqz/platform-external-webrtc
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Clang format of video_processing folder.

Browse Source 
BUG=webrtc:5259

Review URL: https://codereview.webrtc.org/1508793002

Cr-Commit-Position: refs/heads/master@{#10925}
This commit is contained in:
mflodman
2015-12-07 22:54:50 -08:00
committed by Commit bot
parent a440c6fa80
commit 99ab9447d1
27 changed files with 501 additions and 511 deletions
Download Patch File Download Diff File Expand all files Collapse all files

46
webrtc/modules/video_processing/brightness_detection.cc
View File

@ -64,10 +64,10 @@ int32_t VPMBrightnessDetection::ProcessFrame(
const uint8_t* buffer = frame.buffer(kYPlane);
float std_y = 0;
for (int h = 0; h < height; h += (1 << stats.sub_sampling_factor)) {
int row = h*width;
int row = h * width;
for (int w = 0; w < width; w += (1 << stats.sub_sampling_factor)) {
std_y += (buffer[w + row] - stats.mean) * (buffer[w + row] -
stats.mean);
std_y +=
(buffer[w + row] - stats.mean) * (buffer[w + row] - stats.mean);
}
}
std_y = sqrt(std_y / stats.num_pixels);
@ -82,37 +82,39 @@ int32_t VPMBrightnessDetection::ProcessFrame(
float posPerc95 = stats.num_pixels * 0.95f;
for (uint32_t i = 0; i < 256; i++) {
sum += stats.hist[i];
if (sum < pos_perc05) perc05 = i; // 5th perc.
if (sum < pos_median) median_y = i; // 50th perc.
if (sum < pos_perc05)
perc05 = i; // 5th perc.
if (sum < pos_median)
median_y = i; // 50th perc.
if (sum < posPerc95)
perc95 = i; // 95th perc.
perc95 = i; // 95th perc.
else
break;
}
// Check if image is too dark
if ((std_y < 55) && (perc05 < 50)) {
if (median_y < 60 || stats.mean < 80 || perc95 < 130 ||
prop_low > 0.20) {
frame_cnt_dark_++;
} else {
frame_cnt_dark_ = 0;
}
// Check if image is too dark
if ((std_y < 55) && (perc05 < 50)) {
if (median_y < 60 || stats.mean < 80 || perc95 < 130 ||
prop_low > 0.20) {
frame_cnt_dark_++;
} else {
frame_cnt_dark_ = 0;
}
} else {
frame_cnt_dark_ = 0;
}
// Check if image is too bright
if ((std_y < 52) && (perc95 > 200) && (median_y > 160)) {
if (median_y > 185 || stats.mean > 185 || perc05 > 140 ||
prop_high > 0.25) {
frame_cnt_bright_++;
} else {
frame_cnt_bright_ = 0;
}
// Check if image is too bright
if ((std_y < 52) && (perc95 > 200) && (median_y > 160)) {
if (median_y > 185 || stats.mean > 185 || perc05 > 140 ||
prop_high > 0.25) {
frame_cnt_bright_++;
} else {
frame_cnt_bright_ = 0;
}
} else {
frame_cnt_bright_ = 0;
}
} else {
frame_cnt_dark_ = 0;
frame_cnt_bright_ = 0;

83
webrtc/modules/video_processing/content_analysis.cc
View File

@ -72,7 +72,7 @@ VideoContentMetrics* VPMContentAnalysis::ComputeContentMetrics(
// Saving current frame as previous one: Y only.
memcpy(prev_frame_, orig_frame_, width_ * height_);
first_frame_ = false;
first_frame_ = false;
ca_Init_ = true;
return ContentMetrics();
@ -85,7 +85,7 @@ int32_t VPMContentAnalysis::Release() {
}
if (prev_frame_ != NULL) {
delete [] prev_frame_;
delete[] prev_frame_;
prev_frame_ = NULL;
}
@ -106,11 +106,11 @@ int32_t VPMContentAnalysis::Initialize(int width, int height) {
skip_num_ = 1;
// use skipNum = 2 for 4CIF, WHD
if ( (height_ >= 576) && (width_ >= 704) ) {
if ((height_ >= 576) && (width_ >= 704)) {
skip_num_ = 2;
}
// use skipNum = 4 for FULLL_HD images
if ( (height_ >= 1080) && (width_ >= 1920) ) {
if ((height_ >= 1080) && (width_ >= 1920)) {
skip_num_ = 4;
}
@ -119,7 +119,7 @@ int32_t VPMContentAnalysis::Initialize(int width, int height) {
}
if (prev_frame_ != NULL) {
delete [] prev_frame_;
delete[] prev_frame_;
}
// Spatial Metrics don't work on a border of 8. Minimum processing
@ -135,12 +135,12 @@ int32_t VPMContentAnalysis::Initialize(int width, int height) {
}
prev_frame_ = new uint8_t[width_ * height_]; // Y only.
if (prev_frame_ == NULL) return VPM_MEMORY;
if (prev_frame_ == NULL)
return VPM_MEMORY;
return VPM_OK;
}
// Compute motion metrics: magnitude over non-zero motion vectors,
// and size of zero cluster
int32_t VPMContentAnalysis::ComputeMotionMetrics() {
@ -163,36 +163,41 @@ int32_t VPMContentAnalysis::TemporalDiffMetric_C() {
uint64_t pixelSqSum = 0;
uint32_t num_pixels = 0; // Counter for # of pixels.
const int width_end = ((width_ - 2*border_) & -16) + border_;
const int width_end = ((width_ - 2 * border_) & -16) + border_;
for (int i = border_; i < sizei - border_; i += skip_num_) {
for (int j = border_; j < width_end; j++) {
num_pixels += 1;
int ssn = i * sizej + j;
int ssn = i * sizej + j;
uint8_t currPixel = orig_frame_[ssn];
uint8_t prevPixel = prev_frame_[ssn];
uint8_t currPixel = orig_frame_[ssn];
uint8_t prevPixel = prev_frame_[ssn];
tempDiffSum += (uint32_t)abs((int16_t)(currPixel - prevPixel));
pixelSum += (uint32_t) currPixel;
pixelSqSum += (uint64_t) (currPixel * currPixel);
tempDiffSum +=
static_cast<uint32_t>(abs((int16_t)(currPixel - prevPixel)));
pixelSum += static_cast<uint32_t>(currPixel);
pixelSqSum += static_cast<uint64_t>(currPixel * currPixel);
}
}
// Default.
motion_magnitude_ = 0.0f;
if (tempDiffSum == 0) return VPM_OK;
if (tempDiffSum == 0)
return VPM_OK;
// Normalize over all pixels.
float const tempDiffAvg = (float)tempDiffSum / (float)(num_pixels);
float const pixelSumAvg = (float)pixelSum / (float)(num_pixels);
float const pixelSqSumAvg = (float)pixelSqSum / (float)(num_pixels);
float const tempDiffAvg =
static_cast<float>(tempDiffSum) / static_cast<float>(num_pixels);
float const pixelSumAvg =
static_cast<float>(pixelSum) / static_cast<float>(num_pixels);
float const pixelSqSumAvg =
static_cast<float>(pixelSqSum) / static_cast<float>(num_pixels);
float contrast = pixelSqSumAvg - (pixelSumAvg * pixelSumAvg);
if (contrast > 0.0) {
contrast = sqrt(contrast);
motion_magnitude_ = tempDiffAvg/contrast;
motion_magnitude_ = tempDiffAvg / contrast;
}
return VPM_OK;
}
@ -216,39 +221,40 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_C() {
uint32_t spatialErrHSum = 0;
// make sure work section is a multiple of 16
const int width_end = ((sizej - 2*border_) & -16) + border_;
const int width_end = ((sizej - 2 * border_) & -16) + border_;
for (int i = border_; i < sizei - border_; i += skip_num_) {
for (int j = border_; j < width_end; j++) {
int ssn1= i * sizej + j;
int ssn2 = (i + 1) * sizej + j; // bottom
int ssn3 = (i - 1) * sizej + j; // top
int ssn4 = i * sizej + j + 1; // right
int ssn5 = i * sizej + j - 1; // left
int ssn1 = i * sizej + j;
int ssn2 = (i + 1) * sizej + j; // bottom
int ssn3 = (i - 1) * sizej + j; // top
int ssn4 = i * sizej + j + 1; // right
int ssn5 = i * sizej + j - 1; // left
uint16_t refPixel1 = orig_frame_[ssn1] << 1;
uint16_t refPixel2 = orig_frame_[ssn1] << 2;
uint16_t refPixel1 = orig_frame_[ssn1] << 1;
uint16_t refPixel2 = orig_frame_[ssn1] << 2;
uint8_t bottPixel = orig_frame_[ssn2];
uint8_t topPixel = orig_frame_[ssn3];
uint8_t rightPixel = orig_frame_[ssn4];
uint8_t leftPixel = orig_frame_[ssn5];
spatialErrSum += (uint32_t) abs((int16_t)(refPixel2
- (uint16_t)(bottPixel + topPixel + leftPixel + rightPixel)));
spatialErrVSum += (uint32_t) abs((int16_t)(refPixel1
- (uint16_t)(bottPixel + topPixel)));
spatialErrHSum += (uint32_t) abs((int16_t)(refPixel1
- (uint16_t)(leftPixel + rightPixel)));
spatialErrSum += static_cast<uint32_t>(abs(static_cast<int16_t>(
refPixel2 - static_cast<uint16_t>(bottPixel + topPixel + leftPixel +
rightPixel))));
spatialErrVSum += static_cast<uint32_t>(abs(static_cast<int16_t>(
refPixel1 - static_cast<uint16_t>(bottPixel + topPixel))));
spatialErrHSum += static_cast<uint32_t>(abs(static_cast<int16_t>(
refPixel1 - static_cast<uint16_t>(leftPixel + rightPixel))));
pixelMSA += orig_frame_[ssn1];
}
}
// Normalize over all pixels.
const float spatialErr = (float)(spatialErrSum >> 2);
const float spatialErrH = (float)(spatialErrHSum >> 1);
const float spatialErrV = (float)(spatialErrVSum >> 1);
const float norm = (float)pixelMSA;
const float spatialErr = static_cast<float>(spatialErrSum >> 2);
const float spatialErrH = static_cast<float>(spatialErrHSum >> 1);
const float spatialErrV = static_cast<float>(spatialErrVSum >> 1);
const float norm = static_cast<float>(pixelMSA);
// 2X2:
spatial_pred_err_ = spatialErr / norm;
@ -260,7 +266,8 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_C() {
}
VideoContentMetrics* VPMContentAnalysis::ContentMetrics() {
if (ca_Init_ == false) return NULL;
if (ca_Init_ == false)
return NULL;
content_metrics_->spatial_pred_err = spatial_pred_err_;
content_metrics_->spatial_pred_err_h = spatial_pred_err_h_;

6
webrtc/modules/video_processing/content_analysis.h
View File

@ -72,14 +72,14 @@ class VPMContentAnalysis {
int border_;
// Content Metrics: Stores the local average of the metrics.
float motion_magnitude_; // motion class
float spatial_pred_err_; // spatial class
float motion_magnitude_; // motion class
float spatial_pred_err_; // spatial class
float spatial_pred_err_h_; // spatial class
float spatial_pred_err_v_; // spatial class
bool first_frame_;
bool ca_Init_;
VideoContentMetrics* content_metrics_;
VideoContentMetrics* content_metrics_;
};
} // namespace webrtc

175
webrtc/modules/video_processing/content_analysis_sse2.cc
View File

@ -16,22 +16,22 @@
namespace webrtc {
int32_t VPMContentAnalysis::TemporalDiffMetric_SSE2() {
uint32_t num_pixels = 0; // counter for # of pixels
const uint8_t* imgBufO = orig_frame_ + border_*width_ + border_;
const uint8_t* imgBufP = prev_frame_ + border_*width_ + border_;
uint32_t num_pixels = 0; // counter for # of pixels
const uint8_t* imgBufO = orig_frame_ + border_ * width_ + border_;
const uint8_t* imgBufP = prev_frame_ + border_ * width_ + border_;
const int32_t width_end = ((width_ - 2*border_) & -16) + border_;
const int32_t width_end = ((width_ - 2 * border_) & -16) + border_;
__m128i sad_64 = _mm_setzero_si128();
__m128i sum_64 = _mm_setzero_si128();
__m128i sad_64 = _mm_setzero_si128();
__m128i sum_64 = _mm_setzero_si128();
__m128i sqsum_64 = _mm_setzero_si128();
const __m128i z = _mm_setzero_si128();
const __m128i z = _mm_setzero_si128();
for (uint16_t i = 0; i < (height_ - 2*border_); i += skip_num_) {
__m128i sqsum_32 = _mm_setzero_si128();
for (uint16_t i = 0; i < (height_ - 2 * border_); i += skip_num_) {
__m128i sqsum_32 = _mm_setzero_si128();
const uint8_t *lineO = imgBufO;
const uint8_t *lineP = imgBufP;
const uint8_t* lineO = imgBufO;
const uint8_t* lineP = imgBufP;
// Work on 16 pixels at a time. For HD content with a width of 1920
// this loop will run ~67 times (depending on border). Maximum for
@ -49,14 +49,14 @@ int32_t VPMContentAnalysis::TemporalDiffMetric_SSE2() {
lineP += 16;
// Abs pixel difference between frames.
sad_64 = _mm_add_epi64 (sad_64, _mm_sad_epu8(o, p));
sad_64 = _mm_add_epi64(sad_64, _mm_sad_epu8(o, p));
// sum of all pixels in frame
sum_64 = _mm_add_epi64 (sum_64, _mm_sad_epu8(o, z));
sum_64 = _mm_add_epi64(sum_64, _mm_sad_epu8(o, z));
// Squared sum of all pixels in frame.
const __m128i olo = _mm_unpacklo_epi8(o,z);
const __m128i ohi = _mm_unpackhi_epi8(o,z);
const __m128i olo = _mm_unpacklo_epi8(o, z);
const __m128i ohi = _mm_unpackhi_epi8(o, z);
const __m128i sqsum_32_lo = _mm_madd_epi16(olo, olo);
const __m128i sqsum_32_hi = _mm_madd_epi16(ohi, ohi);
@ -66,9 +66,9 @@ int32_t VPMContentAnalysis::TemporalDiffMetric_SSE2() {
}
// Add to 64 bit running sum as to not roll over.
sqsum_64 = _mm_add_epi64(sqsum_64,
_mm_add_epi64(_mm_unpackhi_epi32(sqsum_32,z),
_mm_unpacklo_epi32(sqsum_32,z)));
sqsum_64 =
_mm_add_epi64(sqsum_64, _mm_add_epi64(_mm_unpackhi_epi32(sqsum_32, z),
_mm_unpacklo_epi32(sqsum_32, z)));
imgBufO += width_ * skip_num_;
imgBufP += width_ * skip_num_;
@ -81,13 +81,13 @@ int32_t VPMContentAnalysis::TemporalDiffMetric_SSE2() {
// Bring sums out of vector registers and into integer register
// domain, summing them along the way.
_mm_store_si128 (&sad_final_128, sad_64);
_mm_store_si128 (&sum_final_128, sum_64);
_mm_store_si128 (&sqsum_final_128, sqsum_64);
_mm_store_si128(&sad_final_128, sad_64);
_mm_store_si128(&sum_final_128, sum_64);
_mm_store_si128(&sqsum_final_128, sqsum_64);
uint64_t *sad_final_64 = reinterpret_cast<uint64_t*>(&sad_final_128);
uint64_t *sum_final_64 = reinterpret_cast<uint64_t*>(&sum_final_128);
uint64_t *sqsum_final_64 = reinterpret_cast<uint64_t*>(&sqsum_final_128);
uint64_t* sad_final_64 = reinterpret_cast<uint64_t*>(&sad_final_128);
uint64_t* sum_final_64 = reinterpret_cast<uint64_t*>(&sum_final_128);
uint64_t* sqsum_final_64 = reinterpret_cast<uint64_t*>(&sqsum_final_128);
const uint32_t pixelSum = sum_final_64[0] + sum_final_64[1];
const uint64_t pixelSqSum = sqsum_final_64[0] + sqsum_final_64[1];
@ -96,27 +96,31 @@ int32_t VPMContentAnalysis::TemporalDiffMetric_SSE2() {
// Default.
motion_magnitude_ = 0.0f;
if (tempDiffSum == 0) return VPM_OK;
if (tempDiffSum == 0)
return VPM_OK;
// Normalize over all pixels.
const float tempDiffAvg = (float)tempDiffSum / (float)(num_pixels);
const float pixelSumAvg = (float)pixelSum / (float)(num_pixels);
const float pixelSqSumAvg = (float)pixelSqSum / (float)(num_pixels);
const float tempDiffAvg =
static_cast<float>(tempDiffSum) / static_cast<float>(num_pixels);
const float pixelSumAvg =
static_cast<float>(pixelSum) / static_cast<float>(num_pixels);
const float pixelSqSumAvg =
static_cast<float>(pixelSqSum) / static_cast<float>(num_pixels);
float contrast = pixelSqSumAvg - (pixelSumAvg * pixelSumAvg);
if (contrast > 0.0) {
contrast = sqrt(contrast);
motion_magnitude_ = tempDiffAvg/contrast;
motion_magnitude_ = tempDiffAvg / contrast;
}
return VPM_OK;
}
int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
const uint8_t* imgBuf = orig_frame_ + border_*width_;
const uint8_t* imgBuf = orig_frame_ + border_ * width_;
const int32_t width_end = ((width_ - 2 * border_) & -16) + border_;
__m128i se_32 = _mm_setzero_si128();
__m128i se_32 = _mm_setzero_si128();
__m128i sev_32 = _mm_setzero_si128();
__m128i seh_32 = _mm_setzero_si128();
__m128i msa_32 = _mm_setzero_si128();
@ -127,8 +131,8 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
// value is maxed out at 65529 for every row, 65529*1080 = 70777800, which
// will not roll over a 32 bit accumulator.
// skip_num_ is also used to reduce the number of rows
for (int32_t i = 0; i < (height_ - 2*border_); i += skip_num_) {
__m128i se_16 = _mm_setzero_si128();
for (int32_t i = 0; i < (height_ - 2 * border_); i += skip_num_) {
__m128i se_16 = _mm_setzero_si128();
__m128i sev_16 = _mm_setzero_si128();
__m128i seh_16 = _mm_setzero_si128();
__m128i msa_16 = _mm_setzero_si128();
@ -143,9 +147,9 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
// border_ could also be adjusted to concentrate on just the center of
// the images for an HD capture in order to reduce the possiblity of
// rollover.
const uint8_t *lineTop = imgBuf - width_ + border_;
const uint8_t *lineCen = imgBuf + border_;
const uint8_t *lineBot = imgBuf + width_ + border_;
const uint8_t* lineTop = imgBuf - width_ + border_;
const uint8_t* lineCen = imgBuf + border_;
const uint8_t* lineBot = imgBuf + width_ + border_;
for (int32_t j = 0; j < width_end - border_; j += 16) {
const __m128i t = _mm_loadu_si128((__m128i*)(lineTop));
@ -159,20 +163,20 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
lineBot += 16;
// center pixel unpacked
__m128i clo = _mm_unpacklo_epi8(c,z);
__m128i chi = _mm_unpackhi_epi8(c,z);
__m128i clo = _mm_unpacklo_epi8(c, z);
__m128i chi = _mm_unpackhi_epi8(c, z);
// left right pixels unpacked and added together
const __m128i lrlo = _mm_add_epi16(_mm_unpacklo_epi8(l,z),
_mm_unpacklo_epi8(r,z));
const __m128i lrhi = _mm_add_epi16(_mm_unpackhi_epi8(l,z),
_mm_unpackhi_epi8(r,z));
const __m128i lrlo =
_mm_add_epi16(_mm_unpacklo_epi8(l, z), _mm_unpacklo_epi8(r, z));
const __m128i lrhi =
_mm_add_epi16(_mm_unpackhi_epi8(l, z), _mm_unpackhi_epi8(r, z));
// top & bottom pixels unpacked and added together
const __m128i tblo = _mm_add_epi16(_mm_unpacklo_epi8(t,z),
_mm_unpacklo_epi8(b,z));
const __m128i tbhi = _mm_add_epi16(_mm_unpackhi_epi8(t,z),
_mm_unpackhi_epi8(b,z));
const __m128i tblo =
_mm_add_epi16(_mm_unpacklo_epi8(t, z), _mm_unpacklo_epi8(b, z));
const __m128i tbhi =
_mm_add_epi16(_mm_unpackhi_epi8(t, z), _mm_unpackhi_epi8(b, z));
// running sum of all pixels
msa_16 = _mm_add_epi16(msa_16, _mm_add_epi16(chi, clo));
@ -190,29 +194,32 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
const __m128i sethi = _mm_subs_epi16(chi, _mm_add_epi16(lrhi, tbhi));
// Add to 16 bit running sum
se_16 = _mm_add_epi16(se_16, _mm_max_epi16(setlo,
_mm_subs_epi16(z, setlo)));
se_16 = _mm_add_epi16(se_16, _mm_max_epi16(sethi,
_mm_subs_epi16(z, sethi)));
sev_16 = _mm_add_epi16(sev_16, _mm_max_epi16(sevtlo,
_mm_subs_epi16(z, sevtlo)));
sev_16 = _mm_add_epi16(sev_16, _mm_max_epi16(sevthi,
_mm_subs_epi16(z, sevthi)));
seh_16 = _mm_add_epi16(seh_16, _mm_max_epi16(sehtlo,
_mm_subs_epi16(z, sehtlo)));
seh_16 = _mm_add_epi16(seh_16, _mm_max_epi16(sehthi,
_mm_subs_epi16(z, sehthi)));
se_16 =
_mm_add_epi16(se_16, _mm_max_epi16(setlo, _mm_subs_epi16(z, setlo)));
se_16 =
_mm_add_epi16(se_16, _mm_max_epi16(sethi, _mm_subs_epi16(z, sethi)));
sev_16 = _mm_add_epi16(sev_16,
_mm_max_epi16(sevtlo, _mm_subs_epi16(z, sevtlo)));
sev_16 = _mm_add_epi16(sev_16,
_mm_max_epi16(sevthi, _mm_subs_epi16(z, sevthi)));
seh_16 = _mm_add_epi16(seh_16,
_mm_max_epi16(sehtlo, _mm_subs_epi16(z, sehtlo)));
seh_16 = _mm_add_epi16(seh_16,
_mm_max_epi16(sehthi, _mm_subs_epi16(z, sehthi)));
}
// Add to 32 bit running sum as to not roll over.
se_32 = _mm_add_epi32(se_32, _mm_add_epi32(_mm_unpackhi_epi16(se_16,z),
_mm_unpacklo_epi16(se_16,z)));
sev_32 = _mm_add_epi32(sev_32, _mm_add_epi32(_mm_unpackhi_epi16(sev_16,z),
_mm_unpacklo_epi16(sev_16,z)));
seh_32 = _mm_add_epi32(seh_32, _mm_add_epi32(_mm_unpackhi_epi16(seh_16,z),
_mm_unpacklo_epi16(seh_16,z)));
msa_32 = _mm_add_epi32(msa_32, _mm_add_epi32(_mm_unpackhi_epi16(msa_16,z),
_mm_unpacklo_epi16(msa_16,z)));
se_32 = _mm_add_epi32(se_32, _mm_add_epi32(_mm_unpackhi_epi16(se_16, z),
_mm_unpacklo_epi16(se_16, z)));
sev_32 =
_mm_add_epi32(sev_32, _mm_add_epi32(_mm_unpackhi_epi16(sev_16, z),
_mm_unpacklo_epi16(sev_16, z)));
seh_32 =
_mm_add_epi32(seh_32, _mm_add_epi32(_mm_unpackhi_epi16(seh_16, z),
_mm_unpacklo_epi16(seh_16, z)));
msa_32 =
_mm_add_epi32(msa_32, _mm_add_epi32(_mm_unpackhi_epi16(msa_16, z),
_mm_unpacklo_epi16(msa_16, z)));
imgBuf += width_ * skip_num_;
}
@ -224,30 +231,30 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
// Bring sums out of vector registers and into integer register
// domain, summing them along the way.
_mm_store_si128 (&se_128, _mm_add_epi64(_mm_unpackhi_epi32(se_32,z),
_mm_unpacklo_epi32(se_32,z)));
_mm_store_si128 (&sev_128, _mm_add_epi64(_mm_unpackhi_epi32(sev_32,z),
_mm_unpacklo_epi32(sev_32,z)));
_mm_store_si128 (&seh_128, _mm_add_epi64(_mm_unpackhi_epi32(seh_32,z),
_mm_unpacklo_epi32(seh_32,z)));
_mm_store_si128 (&msa_128, _mm_add_epi64(_mm_unpackhi_epi32(msa_32,z),
_mm_unpacklo_epi32(msa_32,z)));
_mm_store_si128(&se_128, _mm_add_epi64(_mm_unpackhi_epi32(se_32, z),
_mm_unpacklo_epi32(se_32, z)));
_mm_store_si128(&sev_128, _mm_add_epi64(_mm_unpackhi_epi32(sev_32, z),
_mm_unpacklo_epi32(sev_32, z)));
_mm_store_si128(&seh_128, _mm_add_epi64(_mm_unpackhi_epi32(seh_32, z),
_mm_unpacklo_epi32(seh_32, z)));
_mm_store_si128(&msa_128, _mm_add_epi64(_mm_unpackhi_epi32(msa_32, z),
_mm_unpacklo_epi32(msa_32, z)));
uint64_t *se_64 = reinterpret_cast<uint64_t*>(&se_128);
uint64_t *sev_64 = reinterpret_cast<uint64_t*>(&sev_128);
uint64_t *seh_64 = reinterpret_cast<uint64_t*>(&seh_128);
uint64_t *msa_64 = reinterpret_cast<uint64_t*>(&msa_128);
uint64_t* se_64 = reinterpret_cast<uint64_t*>(&se_128);
uint64_t* sev_64 = reinterpret_cast<uint64_t*>(&sev_128);
uint64_t* seh_64 = reinterpret_cast<uint64_t*>(&seh_128);
uint64_t* msa_64 = reinterpret_cast<uint64_t*>(&msa_128);
const uint32_t spatialErrSum = se_64[0] + se_64[1];
const uint32_t spatialErrSum = se_64[0] + se_64[1];
const uint32_t spatialErrVSum = sev_64[0] + sev_64[1];
const uint32_t spatialErrHSum = seh_64[0] + seh_64[1];
const uint32_t pixelMSA = msa_64[0] + msa_64[1];
// Normalize over all pixels.
const float spatialErr = (float)(spatialErrSum >> 2);
const float spatialErrH = (float)(spatialErrHSum >> 1);
const float spatialErrV = (float)(spatialErrVSum >> 1);
const float norm = (float)pixelMSA;
const float spatialErr = static_cast<float>(spatialErrSum >> 2);
const float spatialErrH = static_cast<float>(spatialErrHSum >> 1);
const float spatialErrV = static_cast<float>(spatialErrVSum >> 1);
const float norm = static_cast<float>(pixelMSA);
// 2X2:
spatial_pred_err_ = spatialErr / norm;
@ -258,7 +265,7 @@ int32_t VPMContentAnalysis::ComputeSpatialMetrics_SSE2() {
// 2X1:
spatial_pred_err_v_ = spatialErrV / norm;
return VPM_OK;
return VPM_OK;
}
} // namespace webrtc

76
webrtc/modules/video_processing/deflickering.cc
View File

@ -40,16 +40,17 @@ enum { kLog2OfDownsamplingFactor = 3 };
// >> fprintf('%d, ', probUW16)
// Resolution reduced to avoid overflow when multiplying with the
// (potentially) large number of pixels.
const uint16_t VPMDeflickering::prob_uw16_[kNumProbs] = {102, 205, 410, 614,
819, 1024, 1229, 1434, 1638, 1843, 1946, 1987}; // <Q11>
const uint16_t VPMDeflickering::prob_uw16_[kNumProbs] = {
102, 205, 410, 614, 819, 1024,
1229, 1434, 1638, 1843, 1946, 1987}; // <Q11>
// To generate in Matlab:
// >> numQuants = 14; maxOnlyLength = 5;
// >> weightUW16 = round(2^15 *
// [linspace(0.5, 1.0, numQuants - maxOnlyLength)]);
// >> fprintf('%d, %d,\n ', weightUW16);
const uint16_t VPMDeflickering::weight_uw16_[kNumQuants - kMaxOnlyLength] =
{16384, 18432, 20480, 22528, 24576, 26624, 28672, 30720, 32768}; // <Q15>
const uint16_t VPMDeflickering::weight_uw16_[kNumQuants - kMaxOnlyLength] = {
16384, 18432, 20480, 22528, 24576, 26624, 28672, 30720, 32768}; // <Q15>
VPMDeflickering::VPMDeflickering() {
Reset();
@ -70,8 +71,8 @@ void VPMDeflickering::Reset() {
quant_hist_uw8_[0][kNumQuants - 1] = 255;
for (int32_t i = 0; i < kNumProbs; i++) {
// Unsigned round. <Q0>
quant_hist_uw8_[0][i + 1] = static_cast<uint8_t>(
(prob_uw16_[i] * 255 + (1 << 10)) >> 11);
quant_hist_uw8_[0][i + 1] =
static_cast<uint8_t>((prob_uw16_[i] * 255 + (1 << 10)) >> 11);
}
for (int32_t i = 1; i < kFrameHistory_size; i++) {
@ -80,9 +81,8 @@ void VPMDeflickering::Reset() {
}
}
int32_t VPMDeflickering::ProcessFrame(
VideoFrame* frame,
VideoProcessing::FrameStats* stats) {
int32_t VPMDeflickering::ProcessFrame(VideoFrame* frame,
VideoProcessing::FrameStats* stats) {
assert(frame);
uint32_t frame_memory;
uint8_t quant_uw8[kNumQuants];
@ -111,7 +111,8 @@ int32_t VPMDeflickering::ProcessFrame(
return VPM_GENERAL_ERROR;
}
if (PreDetection(frame->timestamp(), *stats) == -1) return VPM_GENERAL_ERROR;
if (PreDetection(frame->timestamp(), *stats) == -1)
return VPM_GENERAL_ERROR;
// Flicker detection
int32_t det_flicker = DetectFlicker();
@ -124,13 +125,13 @@ int32_t VPMDeflickering::ProcessFrame(
// Size of luminance component.
const uint32_t y_size = height * width;
const uint32_t y_sub_size = width * (((height - 1) >>
kLog2OfDownsamplingFactor) + 1);
const uint32_t y_sub_size =
width * (((height - 1) >> kLog2OfDownsamplingFactor) + 1);
uint8_t* y_sorted = new uint8_t[y_sub_size];
uint32_t sort_row_idx = 0;
for (int i = 0; i < height; i += kDownsamplingFactor) {
memcpy(y_sorted + sort_row_idx * width,
frame->buffer(kYPlane) + i * width, width);
memcpy(y_sorted + sort_row_idx * width, frame->buffer(kYPlane) + i * width,
width);
sort_row_idx++;
}
@ -153,12 +154,12 @@ int32_t VPMDeflickering::ProcessFrame(
quant_uw8[i + 1] = y_sorted[prob_idx_uw32];
}
delete [] y_sorted;
delete[] y_sorted;
y_sorted = NULL;
// Shift history for new frame.
memmove(quant_hist_uw8_[1], quant_hist_uw8_[0],
(kFrameHistory_size - 1) * kNumQuants * sizeof(uint8_t));
(kFrameHistory_size - 1) * kNumQuants * sizeof(uint8_t));
// Store current frame in history.
memcpy(quant_hist_uw8_[0], quant_uw8, kNumQuants * sizeof(uint8_t));
@ -190,9 +191,10 @@ int32_t VPMDeflickering::ProcessFrame(
// target = w * maxquant_uw8 + (1 - w) * minquant_uw8
// Weights w = |weight_uw16_| are in Q15, hence the final output has to be
// right shifted by 8 to end up in Q7.
target_quant_uw16[i] = static_cast<uint16_t>((
weight_uw16_[i] * maxquant_uw8[i] +
((1 << 15) - weight_uw16_[i]) * minquant_uw8[i]) >> 8); // <Q7>
target_quant_uw16[i] = static_cast<uint16_t>(
(weight_uw16_[i] * maxquant_uw8[i] +
((1 << 15) - weight_uw16_[i]) * minquant_uw8[i]) >>
8); // <Q7>
}
for (int32_t i = kNumQuants - kMaxOnlyLength; i < kNumQuants; i++) {
@ -203,13 +205,14 @@ int32_t VPMDeflickering::ProcessFrame(
uint16_t mapUW16; // <Q7>
for (int32_t i = 1; i < kNumQuants; i++) {
// As quant and targetQuant are limited to UWord8, it's safe to use Q7 here.
tmp_uw32 = static_cast<uint32_t>(target_quant_uw16[i] -
target_quant_uw16[i - 1]);
tmp_uw32 =
static_cast<uint32_t>(target_quant_uw16[i] - target_quant_uw16[i - 1]);
tmp_uw16 = static_cast<uint16_t>(quant_uw8[i] - quant_uw8[i - 1]); // <Q0>
if (tmp_uw16 > 0) {
increment_uw16 = static_cast<uint16_t>(WebRtcSpl_DivU32U16(tmp_uw32,
tmp_uw16)); // <Q7>
increment_uw16 =
static_cast<uint16_t>(WebRtcSpl_DivU32U16(tmp_uw32,
tmp_uw16)); // <Q7>
} else {
// The value is irrelevant; the loop below will only iterate once.
increment_uw16 = 0;
@ -247,8 +250,9 @@ int32_t VPMDeflickering::ProcessFrame(
zero.\n
-1: Error
*/
int32_t VPMDeflickering::PreDetection(const uint32_t timestamp,
const VideoProcessing::FrameStats& stats) {
int32_t VPMDeflickering::PreDetection(
const uint32_t timestamp,
const VideoProcessing::FrameStats& stats) {
int32_t mean_val; // Mean value of frame (Q4)
uint32_t frame_rate = 0;
int32_t meanBufferLength; // Temp variable.
@ -257,16 +261,16 @@ int32_t VPMDeflickering::PreDetection(const uint32_t timestamp,
// Update mean value buffer.
// This should be done even though we might end up in an unreliable detection.
memmove(mean_buffer_ + 1, mean_buffer_,
(kMeanBufferLength - 1) * sizeof(int32_t));
(kMeanBufferLength - 1) * sizeof(int32_t));
mean_buffer_[0] = mean_val;
// Update timestamp buffer.
// This should be done even though we might end up in an unreliable detection.
memmove(timestamp_buffer_ + 1, timestamp_buffer_, (kMeanBufferLength - 1) *
sizeof(uint32_t));
memmove(timestamp_buffer_ + 1, timestamp_buffer_,
(kMeanBufferLength - 1) * sizeof(uint32_t));
timestamp_buffer_[0] = timestamp;
/* Compute current frame rate (Q4) */
/* Compute current frame rate (Q4) */
if (timestamp_buffer_[kMeanBufferLength - 1] != 0) {
frame_rate = ((90000 << 4) * (kMeanBufferLength - 1));
frame_rate /=
@ -315,22 +319,22 @@ int32_t VPMDeflickering::PreDetection(const uint32_t timestamp,
-1: Error
*/
int32_t VPMDeflickering::DetectFlicker() {
uint32_t i;
int32_t freqEst; // (Q4) Frequency estimate to base detection upon
int32_t ret_val = -1;
uint32_t i;
int32_t freqEst; // (Q4) Frequency estimate to base detection upon
int32_t ret_val = -1;
/* Sanity check for mean_buffer_length_ */
if (mean_buffer_length_ < 2) {
/* Not possible to estimate frequency */
return(2);
return 2;
}
// Count zero crossings with a dead zone to be robust against noise. If the
// noise std is 2 pixel this corresponds to about 95% confidence interval.
int32_t deadzone = (kZeroCrossingDeadzone << kmean_valueScaling); // Q4
int32_t meanOfBuffer = 0; // Mean value of mean value buffer.
int32_t numZeros = 0; // Number of zeros that cross the dead-zone.
int32_t cntState = 0; // State variable for zero crossing regions.
int32_t cntStateOld = 0; // Previous state for zero crossing regions.
int32_t numZeros = 0; // Number of zeros that cross the dead-zone.
int32_t cntState = 0; // State variable for zero crossing regions.
int32_t cntStateOld = 0; // Previous state for zero crossing regions.
for (i = 0; i < mean_buffer_length_; i++) {
meanOfBuffer += mean_buffer_[i];

14
webrtc/modules/video_processing/deflickering.h
View File

@ -38,13 +38,13 @@ class VPMDeflickering {
enum { kNumQuants = kNumProbs + 2 };
enum { kMaxOnlyLength = 5 };
uint32_t mean_buffer_length_;
uint8_t detection_state_; // 0: No flickering
// 1: Flickering detected
// 2: In flickering
int32_t mean_buffer_[kMeanBufferLength];
uint32_t timestamp_buffer_[kMeanBufferLength];
uint32_t frame_rate_;
uint32_t mean_buffer_length_;
uint8_t detection_state_; // 0: No flickering
// 1: Flickering detected
// 2: In flickering
int32_t mean_buffer_[kMeanBufferLength];
uint32_t timestamp_buffer_[kMeanBufferLength];
uint32_t frame_rate_;
static const uint16_t prob_uw16_[kNumProbs];
static const uint16_t weight_uw16_[kNumQuants - kMaxOnlyLength];
uint8_t quant_hist_uw8_[kFrameHistory_size][kNumQuants];

18
webrtc/modules/video_processing/frame_preprocessor.cc
View File

@ -31,7 +31,7 @@ VPMFramePreprocessor::~VPMFramePreprocessor() {
delete spatial_resampler_;
}
void VPMFramePreprocessor::Reset() {
void VPMFramePreprocessor::Reset() {
ca_->Release();
vd_->Reset();
content_metrics_ = nullptr;
@ -40,7 +40,7 @@ void VPMFramePreprocessor::Reset() {
frame_cnt_ = 0;
}
void VPMFramePreprocessor::EnableTemporalDecimation(bool enable) {
void VPMFramePreprocessor::EnableTemporalDecimation(bool enable) {
vd_->EnableTemporalDecimation(enable);
}
@ -48,20 +48,22 @@ void VPMFramePreprocessor::EnableContentAnalysis(bool enable) {
enable_ca_ = enable;
}
void VPMFramePreprocessor::SetInputFrameResampleMode(
void VPMFramePreprocessor::SetInputFrameResampleMode(
VideoFrameResampling resampling_mode) {
spatial_resampler_->SetInputFrameResampleMode(resampling_mode);
}
int32_t VPMFramePreprocessor::SetTargetResolution(
uint32_t width, uint32_t height, uint32_t frame_rate) {
int32_t VPMFramePreprocessor::SetTargetResolution(uint32_t width,
uint32_t height,
uint32_t frame_rate) {
if ((width == 0) || (height == 0) || (frame_rate == 0)) {
return VPM_PARAMETER_ERROR;
}
int32_t ret_val = 0;
ret_val = spatial_resampler_->SetTargetFrameSize(width, height);
if (ret_val < 0) return ret_val;
if (ret_val < 0)
return ret_val;
vd_->SetTargetFramerate(frame_rate);
return VPM_OK;
@ -84,12 +86,10 @@ uint32_t VPMFramePreprocessor::GetDecimatedFrameRate() {
return vd_->GetDecimatedFrameRate();
}
uint32_t VPMFramePreprocessor::GetDecimatedWidth() const {
return spatial_resampler_->TargetWidth();
}
uint32_t VPMFramePreprocessor::GetDecimatedHeight() const {
return spatial_resampler_->TargetHeight();
}
@ -116,7 +116,7 @@ const VideoFrame* VPMFramePreprocessor::PreprocessFrame(
}
if (spatial_resampler_->ApplyResample(current_frame->width(),
current_frame->height())) {
current_frame->height())) {
if (spatial_resampler_->ResampleFrame(*current_frame, &resampled_frame_) !=
VPM_OK) {
return nullptr;

3
webrtc/modules/video_processing/frame_preprocessor.h
View File

@ -41,7 +41,8 @@ class VPMFramePreprocessor {
void EnableContentAnalysis(bool enable);
// Set target resolution: frame rate and dimension.
int32_t SetTargetResolution(uint32_t width, uint32_t height,
int32_t SetTargetResolution(uint32_t width,
uint32_t height,
uint32_t frame_rate);
// Set target frame rate.

13
webrtc/modules/video_processing/include/video_processing.h
View File

@ -8,13 +8,6 @@
* be found in the AUTHORS file in the root of the source tree.
*/
/*
* video_processing.h
* This header file contains the API required for the video
* processing module class.
*/
#ifndef WEBRTC_MODULES_VIDEO_PROCESSING_INCLUDE_VIDEO_PROCESSING_H_
#define WEBRTC_MODULES_VIDEO_PROCESSING_INCLUDE_VIDEO_PROCESSING_H_
@ -43,11 +36,7 @@ class VideoProcessing {
uint32_t sub_sampling_factor; // Sub-sampling factor, in powers of 2.
};
enum BrightnessWarning {
kNoWarning,
kDarkWarning,
kBrightWarning
};
enum BrightnessWarning { kNoWarning, kDarkWarning, kBrightWarning };
static VideoProcessing* Create();
virtual ~VideoProcessing() {}

22
webrtc/modules/video_processing/include/video_processing_defines.h
View File

@ -21,19 +21,19 @@
namespace webrtc {
// Error codes
#define VPM_OK 0
#define VPM_GENERAL_ERROR -1
#define VPM_MEMORY -2
#define VPM_PARAMETER_ERROR -3
#define VPM_SCALE_ERROR -4
#define VPM_UNINITIALIZED -5
#define VPM_UNIMPLEMENTED -6
#define VPM_OK 0
#define VPM_GENERAL_ERROR -1
#define VPM_MEMORY -2
#define VPM_PARAMETER_ERROR -3
#define VPM_SCALE_ERROR -4
#define VPM_UNINITIALIZED -5
#define VPM_UNIMPLEMENTED -6
enum VideoFrameResampling {
kNoRescaling, // Disables rescaling.
kFastRescaling, // Point filter.
kBiLinear, // Bi-linear interpolation.
kBox, // Box inteprolation.
kNoRescaling, // Disables rescaling.
kFastRescaling, // Point filter.
kBiLinear, // Bi-linear interpolation.
kBox, // Box inteprolation.
};
} // namespace webrtc

25
webrtc/modules/video_processing/spatial_resampler.cc
View File

@ -10,7 +10,6 @@
#include "webrtc/modules/video_processing/spatial_resampler.h"
namespace webrtc {
VPMSimpleSpatialResampler::VPMSimpleSpatialResampler()
@ -21,12 +20,13 @@ VPMSimpleSpatialResampler::VPMSimpleSpatialResampler()
VPMSimpleSpatialResampler::~VPMSimpleSpatialResampler() {}
int32_t VPMSimpleSpatialResampler::SetTargetFrameSize(int32_t width,
int32_t height) {
if (resampling_mode_ == kNoRescaling) return VPM_OK;
if (resampling_mode_ == kNoRescaling)
return VPM_OK;
if (width < 1 || height < 1) return VPM_PARAMETER_ERROR;
if (width < 1 || height < 1)
return VPM_PARAMETER_ERROR;
target_width_ = width;
target_height_ = height;
@ -48,11 +48,11 @@ void VPMSimpleSpatialResampler::Reset() {
int32_t VPMSimpleSpatialResampler::ResampleFrame(const VideoFrame& inFrame,
VideoFrame* outFrame) {
// Don't copy if frame remains as is.
if (resampling_mode_ == kNoRescaling)
return VPM_OK;
if (resampling_mode_ == kNoRescaling) {
return VPM_OK;
// Check if re-sampling is needed
else if ((inFrame.width() == target_width_) &&
(inFrame.height() == target_height_)) {
} else if ((inFrame.width() == target_width_) &&
(inFrame.height() == target_height_)) {
return VPM_OK;
}
@ -60,8 +60,8 @@ int32_t VPMSimpleSpatialResampler::ResampleFrame(const VideoFrame& inFrame,
// TODO(mikhal/marpan): Should we allow for setting the filter mode in
// _scale.Set() with |resampling_mode_|?
int ret_val = 0;
ret_val = scaler_.Set(inFrame.width(), inFrame.height(),
target_width_, target_height_, kI420, kI420, kScaleBox);
ret_val = scaler_.Set(inFrame.width(), inFrame.height(), target_width_,
target_height_, kI420, kI420, kScaleBox);
if (ret_val < 0)
return ret_val;
@ -86,10 +86,9 @@ int32_t VPMSimpleSpatialResampler::TargetWidth() {
return target_width_;
}
bool VPMSimpleSpatialResampler::ApplyResample(int32_t width,
int32_t height) {
bool VPMSimpleSpatialResampler::ApplyResample(int32_t width, int32_t height) {
if ((width == target_width_ && height == target_height_) ||
resampling_mode_ == kNoRescaling)
resampling_mode_ == kNoRescaling)
return false;
else
return true;

15
webrtc/modules/video_processing/spatial_resampler.h
View File

@ -23,10 +23,10 @@ namespace webrtc {
class VPMSpatialResampler {
public:
virtual ~VPMSpatialResampler() {};
virtual ~VPMSpatialResampler() {}
virtual int32_t SetTargetFrameSize(int32_t width, int32_t height) = 0;
virtual void SetInputFrameResampleMode(VideoFrameResampling
resampling_mode) = 0;
virtual void SetInputFrameResampleMode(
VideoFrameResampling resampling_mode) = 0;
virtual void Reset() = 0;
virtual int32_t ResampleFrame(const VideoFrame& inFrame,
VideoFrame* outFrame) = 0;
@ -49,11 +49,10 @@ class VPMSimpleSpatialResampler : public VPMSpatialResampler {
virtual bool ApplyResample(int32_t width, int32_t height);
private:
VideoFrameResampling resampling_mode_;
int32_t target_width_;
int32_t target_height_;
Scaler scaler_;
VideoFrameResampling resampling_mode_;
int32_t target_width_;
int32_t target_height_;
Scaler scaler_;
};
} // namespace webrtc

175
webrtc/modules/video_processing/test/brightness_detection_test.cc
View File

@ -16,100 +16,101 @@
namespace webrtc {
TEST_F(VideoProcessingTest, DISABLED_ON_IOS(BrightnessDetection)) {
uint32_t frameNum = 0;
int32_t brightnessWarning = 0;
uint32_t warningCount = 0;
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_) {
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_,
height_, 0, kVideoRotation_0, &video_frame_));
frameNum++;
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_GE(brightnessWarning = vp_->BrightnessDetection(video_frame_,
stats), 0);
if (brightnessWarning != VideoProcessing::kNoWarning) {
warningCount++;
}
uint32_t frameNum = 0;
int32_t brightnessWarning = 0;
uint32_t warningCount = 0;
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_) {
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
frameNum++;
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_GE(brightnessWarning = vp_->BrightnessDetection(video_frame_, stats),
0);
if (brightnessWarning != VideoProcessing::kNoWarning) {
warningCount++;
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
// Expect few warnings
float warningProportion = static_cast<float>(warningCount) / frameNum * 100;
printf("\nWarning proportions:\n");
printf("Stock foreman: %.1f %%\n", warningProportion);
EXPECT_LT(warningProportion, 10);
// Expect few warnings
float warningProportion = static_cast<float>(warningCount) / frameNum * 100;
printf("\nWarning proportions:\n");
printf("Stock foreman: %.1f %%\n", warningProportion);
EXPECT_LT(warningProportion, 10);
rewind(source_file_);
frameNum = 0;
warningCount = 0;
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_ &&
frameNum < 300) {
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_,
height_, 0, kVideoRotation_0, &video_frame_));
frameNum++;
rewind(source_file_);
frameNum = 0;
warningCount = 0;
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_ &&
frameNum < 300) {
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
frameNum++;
uint8_t* frame = video_frame_.buffer(kYPlane);
uint32_t yTmp = 0;
for (int yIdx = 0; yIdx < width_ * height_; yIdx++) {
yTmp = frame[yIdx] << 1;
if (yTmp > 255) {
yTmp = 255;
}
frame[yIdx] = static_cast<uint8_t>(yTmp);
}
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_GE(brightnessWarning = vp_->BrightnessDetection(video_frame_,
stats), 0);
EXPECT_NE(VideoProcessing::kDarkWarning, brightnessWarning);
if (brightnessWarning == VideoProcessing::kBrightWarning) {
warningCount++;
}
uint8_t* frame = video_frame_.buffer(kYPlane);
uint32_t yTmp = 0;
for (int yIdx = 0; yIdx < width_ * height_; yIdx++) {
yTmp = frame[yIdx] << 1;
if (yTmp > 255) {
yTmp = 255;
}
frame[yIdx] = static_cast<uint8_t>(yTmp);
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
// Expect many brightness warnings
warningProportion = static_cast<float>(warningCount) / frameNum * 100;
printf("Bright foreman: %.1f %%\n", warningProportion);
EXPECT_GT(warningProportion, 95);
rewind(source_file_);
frameNum = 0;
warningCount = 0;
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_ && frameNum < 300) {
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_,
height_, 0, kVideoRotation_0, &video_frame_));
frameNum++;
uint8_t* y_plane = video_frame_.buffer(kYPlane);
int32_t yTmp = 0;
for (int yIdx = 0; yIdx < width_ * height_; yIdx++) {
yTmp = y_plane[yIdx] >> 1;
y_plane[yIdx] = static_cast<uint8_t>(yTmp);
}
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_GE(brightnessWarning = vp_->BrightnessDetection(video_frame_,
stats), 0);
EXPECT_NE(VideoProcessing::kBrightWarning, brightnessWarning);
if (brightnessWarning == VideoProcessing::kDarkWarning) {
warningCount++;
}
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_GE(brightnessWarning = vp_->BrightnessDetection(video_frame_, stats),
0);
EXPECT_NE(VideoProcessing::kDarkWarning, brightnessWarning);
if (brightnessWarning == VideoProcessing::kBrightWarning) {
warningCount++;
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
// Expect many darkness warnings
warningProportion = static_cast<float>(warningCount) / frameNum * 100;
printf("Dark foreman: %.1f %%\n\n", warningProportion);
EXPECT_GT(warningProportion, 90);
// Expect many brightness warnings
warningProportion = static_cast<float>(warningCount) / frameNum * 100;
printf("Bright foreman: %.1f %%\n", warningProportion);
EXPECT_GT(warningProportion, 95);
rewind(source_file_);
frameNum = 0;
warningCount = 0;
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_ &&
frameNum < 300) {
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
frameNum++;
uint8_t* y_plane = video_frame_.buffer(kYPlane);
int32_t yTmp = 0;
for (int yIdx = 0; yIdx < width_ * height_; yIdx++) {
yTmp = y_plane[yIdx] >> 1;
y_plane[yIdx] = static_cast<uint8_t>(yTmp);
}
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_GE(brightnessWarning = vp_->BrightnessDetection(video_frame_, stats),
0);
EXPECT_NE(VideoProcessing::kBrightWarning, brightnessWarning);
if (brightnessWarning == VideoProcessing::kDarkWarning) {
warningCount++;
}
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
// Expect many darkness warnings
warningProportion = static_cast<float>(warningCount) / frameNum * 100;
printf("Dark foreman: %.1f %%\n\n", warningProportion);
EXPECT_GT(warningProportion, 90);
}
} // namespace webrtc

10
webrtc/modules/video_processing/test/content_metrics_test.cc
View File

@ -17,8 +17,8 @@
namespace webrtc {
TEST_F(VideoProcessingTest, DISABLED_ON_IOS(ContentAnalysis)) {
VPMContentAnalysis ca__c(false);
VPMContentAnalysis ca__sse(true);
VPMContentAnalysis ca__c(false);
VPMContentAnalysis ca__sse(true);
VideoContentMetrics* _cM_c;
VideoContentMetrics* _cM_SSE;
@ -26,12 +26,12 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(ContentAnalysis)) {
ca__sse.Initialize(width_, height_);
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
while (fread(video_buffer.get(), 1, frame_length_, source_file_)
== frame_length_) {
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_) {
// Using ConvertToI420 to add stride to the image.
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
_cM_c = ca__c.ComputeContentMetrics(video_frame_);
_cM_c = ca__c.ComputeContentMetrics(video_frame_);
_cM_SSE = ca__sse.ComputeContentMetrics(video_frame_);
ASSERT_EQ(_cM_c->spatial_pred_err, _cM_SSE->spatial_pred_err);

117
webrtc/modules/video_processing/test/deflickering_test.cc
View File

@ -21,76 +21,75 @@
namespace webrtc {
TEST_F(VideoProcessingTest, DISABLED_ON_IOS(Deflickering)) {
enum { NumRuns = 30 };
uint32_t frameNum = 0;
const uint32_t frame_rate = 15;
enum { NumRuns = 30 };
uint32_t frameNum = 0;
const uint32_t frame_rate = 15;
int64_t min_runtime = 0;
int64_t avg_runtime = 0;
int64_t min_runtime = 0;
int64_t avg_runtime = 0;
// Close automatically opened Foreman.
fclose(source_file_);
const std::string input_file =
webrtc::test::ResourcePath("deflicker_before_cif_short", "yuv");
source_file_ = fopen(input_file.c_str(), "rb");
ASSERT_TRUE(source_file_ != NULL) <<
"Cannot read input file: " << input_file << "\n";
// Close automatically opened Foreman.
fclose(source_file_);
const std::string input_file =
webrtc::test::ResourcePath("deflicker_before_cif_short", "yuv");
source_file_ = fopen(input_file.c_str(), "rb");
ASSERT_TRUE(source_file_ != NULL) << "Cannot read input file: " << input_file
<< "\n";
const std::string output_file =
webrtc::test::OutputPath() + "deflicker_output_cif_short.yuv";
FILE* deflickerFile = fopen(output_file.c_str(), "wb");
ASSERT_TRUE(deflickerFile != NULL) <<
"Could not open output file: " << output_file << "\n";
const std::string output_file =
webrtc::test::OutputPath() + "deflicker_output_cif_short.yuv";
FILE* deflickerFile = fopen(output_file.c_str(), "wb");
ASSERT_TRUE(deflickerFile != NULL)
<< "Could not open output file: " << output_file << "\n";
printf("\nRun time [us / frame]:\n");
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
for (uint32_t run_idx = 0; run_idx < NumRuns; run_idx++) {
TickTime t0;
TickTime t1;
TickInterval acc_ticks;
uint32_t timeStamp = 1;
printf("\nRun time [us / frame]:\n");
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
for (uint32_t run_idx = 0; run_idx < NumRuns; run_idx++) {
TickTime t0;
TickTime t1;
TickInterval acc_ticks;
uint32_t timeStamp = 1;
frameNum = 0;
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_) {
frameNum++;
EXPECT_EQ(
0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_,
frameNum = 0;
while (fread(video_buffer.get(), 1, frame_length_, source_file_) ==
frame_length_) {
frameNum++;
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_,
height_, 0, kVideoRotation_0, &video_frame_));
video_frame_.set_timestamp(timeStamp);
video_frame_.set_timestamp(timeStamp);
t0 = TickTime::Now();
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_EQ(0, vp_->Deflickering(&video_frame_, &stats));
t1 = TickTime::Now();
acc_ticks += (t1 - t0);
t0 = TickTime::Now();
VideoProcessing::FrameStats stats;
vp_->GetFrameStats(video_frame_, &stats);
EXPECT_GT(stats.num_pixels, 0u);
ASSERT_EQ(0, vp_->Deflickering(&video_frame_, &stats));
t1 = TickTime::Now();
acc_ticks += (t1 - t0);
if (run_idx == 0) {
if (PrintVideoFrame(video_frame_, deflickerFile) < 0) {
return;
}
}
timeStamp += (90000 / frame_rate);
if (run_idx == 0) {
if (PrintVideoFrame(video_frame_, deflickerFile) < 0) {
return;
}
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
printf("%u\n", static_cast<int>(acc_ticks.Microseconds() / frameNum));
if (acc_ticks.Microseconds() < min_runtime || run_idx == 0) {
min_runtime = acc_ticks.Microseconds();
}
avg_runtime += acc_ticks.Microseconds();
rewind(source_file_);
}
timeStamp += (90000 / frame_rate);
}
ASSERT_EQ(0, fclose(deflickerFile));
// TODO(kjellander): Add verification of deflicker output file.
ASSERT_NE(0, feof(source_file_)) << "Error reading source file";
printf("\nAverage run time = %d us / frame\n",
static_cast<int>(avg_runtime / frameNum / NumRuns));
printf("Min run time = %d us / frame\n\n",
static_cast<int>(min_runtime / frameNum));
printf("%u\n", static_cast<int>(acc_ticks.Microseconds() / frameNum));
if (acc_ticks.Microseconds() < min_runtime || run_idx == 0) {
min_runtime = acc_ticks.Microseconds();
}
avg_runtime += acc_ticks.Microseconds();
rewind(source_file_);
}
ASSERT_EQ(0, fclose(deflickerFile));
// TODO(kjellander): Add verification of deflicker output file.
printf("\nAverage run time = %d us / frame\n",
static_cast<int>(avg_runtime / frameNum / NumRuns));
printf("Min run time = %d us / frame\n\n",
static_cast<int>(min_runtime / frameNum));
}
} // namespace webrtc

47
webrtc/modules/video_processing/test/video_processing_unittest.cc
View File

@ -71,20 +71,20 @@ void VideoProcessingTest::SetUp() {
ASSERT_TRUE(vp_ != NULL);
ASSERT_EQ(0, video_frame_.CreateEmptyFrame(width_, height_, width_,
half_width_, half_width_));
half_width_, half_width_));
// Clear video frame so DrMemory/Valgrind will allow reads of the buffer.
memset(video_frame_.buffer(kYPlane), 0, video_frame_.allocated_size(kYPlane));
memset(video_frame_.buffer(kUPlane), 0, video_frame_.allocated_size(kUPlane));
memset(video_frame_.buffer(kVPlane), 0, video_frame_.allocated_size(kVPlane));
const std::string video_file =
webrtc::test::ResourcePath("foreman_cif", "yuv");
source_file_ = fopen(video_file.c_str(), "rb");
ASSERT_TRUE(source_file_ != NULL) <<
"Cannot read source file: " + video_file + "\n";
source_file_ = fopen(video_file.c_str(), "rb");
ASSERT_TRUE(source_file_ != NULL)
<< "Cannot read source file: " + video_file + "\n";
}
void VideoProcessingTest::TearDown() {
if (source_file_ != NULL) {
if (source_file_ != NULL) {
ASSERT_EQ(0, fclose(source_file_));
}
source_file_ = NULL;
@ -110,8 +110,8 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(HandleBadStats)) {
VideoProcessing::FrameStats stats;
vp_->ClearFrameStats(&stats);
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
ASSERT_EQ(frame_length_, fread(video_buffer.get(), 1, frame_length_,
source_file_));
ASSERT_EQ(frame_length_,
fread(video_buffer.get(), 1, frame_length_, source_file_));
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
@ -125,8 +125,8 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(IdenticalResultsAfterReset)) {
VideoProcessing::FrameStats stats;
// Only testing non-static functions here.
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
ASSERT_EQ(frame_length_, fread(video_buffer.get(), 1, frame_length_,
source_file_));
ASSERT_EQ(frame_length_,
fread(video_buffer.get(), 1, frame_length_, source_file_));
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
vp_->GetFrameStats(video_frame_, &stats);
@ -140,8 +140,8 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(IdenticalResultsAfterReset)) {
ASSERT_EQ(0, vp_->Deflickering(&video_frame2, &stats));
EXPECT_TRUE(CompareFrames(video_frame_, video_frame2));
ASSERT_EQ(frame_length_, fread(video_buffer.get(), 1, frame_length_,
source_file_));
ASSERT_EQ(frame_length_,
fread(video_buffer.get(), 1, frame_length_, source_file_));
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
vp_->GetFrameStats(video_frame_, &stats);
@ -157,8 +157,8 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(FrameStats)) {
VideoProcessing::FrameStats stats;
vp_->ClearFrameStats(&stats);
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
ASSERT_EQ(frame_length_, fread(video_buffer.get(), 1, frame_length_,
source_file_));
ASSERT_EQ(frame_length_,
fread(video_buffer.get(), 1, frame_length_, source_file_));
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
@ -204,8 +204,7 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(Resampler)) {
int64_t total_runtime = 0;
rewind(source_file_);
ASSERT_TRUE(source_file_ != NULL) <<
"Cannot read input file \n";
ASSERT_TRUE(source_file_ != NULL) << "Cannot read input file \n";
// CA not needed here
vp_->EnableContentAnalysis(false);
@ -214,8 +213,8 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(Resampler)) {
// Reading test frame
rtc::scoped_ptr<uint8_t[]> video_buffer(new uint8_t[frame_length_]);
ASSERT_EQ(frame_length_, fread(video_buffer.get(), 1, frame_length_,
source_file_));
ASSERT_EQ(frame_length_,
fread(video_buffer.get(), 1, frame_length_, source_file_));
// Using ConvertToI420 to add stride to the image.
EXPECT_EQ(0, ConvertToI420(kI420, video_buffer.get(), 0, 0, width_, height_,
0, kVideoRotation_0, &video_frame_));
@ -281,8 +280,7 @@ TEST_F(VideoProcessingTest, DISABLED_ON_IOS(Resampler)) {
printf("\nAverage run time = %d us / frame\n",
static_cast<int>(total_runtime));
printf("Min run time = %d us / frame\n\n",
static_cast<int>(min_runtime));
printf("Min run time = %d us / frame\n\n", static_cast<int>(min_runtime));
}
void PreprocessFrameAndVerify(const VideoFrame& source,
@ -349,15 +347,16 @@ void TestSize(const VideoFrame& source_frame,
// Compute PSNR against the cropped source frame and check expectation.
double psnr = I420PSNR(&cropped_source_frame, out_frame);
EXPECT_GT(psnr, expected_psnr);
printf("PSNR: %f. PSNR is between source of size %d %d, and a modified "
"source which is scaled down/up to: %d %d, and back to source size \n",
psnr, source_frame.width(), source_frame.height(),
target_width, target_height);
printf(
"PSNR: %f. PSNR is between source of size %d %d, and a modified "
"source which is scaled down/up to: %d %d, and back to source size \n",
psnr, source_frame.width(), source_frame.height(), target_width,
target_height);
}
bool CompareFrames(const webrtc::VideoFrame& frame1,
const webrtc::VideoFrame& frame2) {
for (int plane = 0; plane < webrtc::kNumOfPlanes; plane ++) {
for (int plane = 0; plane < webrtc::kNumOfPlanes; plane++) {
webrtc::PlaneType plane_type = static_cast<webrtc::PlaneType>(plane);
int allocated_size1 = frame1.allocated_size(plane_type);
int allocated_size2 = frame2.allocated_size(plane_type);

4
webrtc/modules/video_processing/test/video_processing_unittest.h
View File

@ -30,9 +30,7 @@ class VideoProcessingTest : public ::testing::Test {
std::string trace_file = webrtc::test::OutputPath() + "VPMTrace.txt";
ASSERT_EQ(0, Trace::SetTraceFile(trace_file.c_str()));
}
static void TearDownTestCase() {
Trace::ReturnTrace();
}
static void TearDownTestCase() { Trace::ReturnTrace(); }
VideoProcessing* vp_;
FILE* source_file_;
VideoFrame video_frame_;

5
webrtc/modules/video_processing/util/denoiser_filter.cc
View File

@ -23,12 +23,11 @@ const int kSumDiffThresholdHigh = 600;
DenoiserFilter* DenoiserFilter::Create() {
DenoiserFilter* filter = NULL;
// If we know the minimum architecture at compile time, avoid CPU detection.
// If we know the minimum architecture at compile time, avoid CPU detection.
#if defined(WEBRTC_ARCH_X86_FAMILY)
// x86 CPU detection required.
if (WebRtc_GetCPUInfo(kSSE2)) {
filter =
new DenoiserFilterSSE2();
filter = new DenoiserFilterSSE2();
} else {
filter = new DenoiserFilterC();
}

2
webrtc/modules/video_processing/util/denoiser_filter_c.h
View File

@ -41,8 +41,6 @@ class DenoiserFilterC : public DenoiserFilter {
int increase_denoising) override;
};
} // namespace webrtc
#endif // WEBRTC_MODULES_VIDEO_PROCESSING_UTIL_DENOISER_FILTER_C_H_

9
webrtc/modules/video_processing/util/denoiser_filter_neon.cc
View File

@ -58,8 +58,8 @@ static void VarianceNeonW8(const uint8_t* a,
}
*sum = HorizontalAddS16x8(v_sum);
*sse = static_cast<uint32_t>(
HorizontalAddS32x4(vaddq_s32(v_sse_lo, v_sse_hi)));
*sse =
static_cast<uint32_t>(HorizontalAddS32x4(vaddq_s32(v_sse_lo, v_sse_hi)));
}
void DenoiserFilterNEON::CopyMem16x16(const uint8_t* src,
@ -111,9 +111,8 @@ DenoiserDecision DenoiserFilterNEON::MbDenoise(uint8_t* mc_running_avg_y,
// increasing the adjustment for each level, level1 adjustment is
// increased, the deltas stay the same.
int shift_inc =
(increase_denoising && motion_magnitude <= kMotionMagnitudeThreshold)
? 1
: 0;
(increase_denoising && motion_magnitude <= kMotionMagnitudeThreshold) ? 1
: 0;
const uint8x16_t v_level1_adjustment = vmovq_n_u8(
(motion_magnitude <= kMotionMagnitudeThreshold) ? 4 + shift_inc : 3);
const uint8x16_t v_delta_level_1_and_2 = vdupq_n_u8(1);

12
webrtc/modules/video_processing/util/denoiser_filter_sse2.cc
View File

@ -141,9 +141,8 @@ DenoiserDecision DenoiserFilterSSE2::MbDenoise(uint8_t* mc_running_avg_y,
uint8_t motion_magnitude,
int increase_denoising) {
int shift_inc =
(increase_denoising && motion_magnitude <= kMotionMagnitudeThreshold)
? 1
: 0;
(increase_denoising && motion_magnitude <= kMotionMagnitudeThreshold) ? 1
: 0;
__m128i acc_diff = _mm_setzero_si128();
const __m128i k_0 = _mm_setzero_si128();
const __m128i k_4 = _mm_set1_epi8(4 + shift_inc);
@ -239,15 +238,14 @@ DenoiserDecision DenoiserFilterSSE2::MbDenoise(uint8_t* mc_running_avg_y,
// Calculate differences.
const __m128i v_sig =
_mm_loadu_si128(reinterpret_cast<const __m128i*>(&sig[0]));
const __m128i v_mc_running_avg_y = _mm_loadu_si128(
reinterpret_cast<__m128i*>(&mc_running_avg_y[0]));
const __m128i v_mc_running_avg_y =
_mm_loadu_si128(reinterpret_cast<__m128i*>(&mc_running_avg_y[0]));
const __m128i pdiff = _mm_subs_epu8(v_mc_running_avg_y, v_sig);
const __m128i ndiff = _mm_subs_epu8(v_sig, v_mc_running_avg_y);
// Obtain the sign. FF if diff is negative.
const __m128i diff_sign = _mm_cmpeq_epi8(pdiff, k_0);
// Clamp absolute difference to delta to get the adjustment.
const __m128i adj = _mm_min_epu8(
_mm_or_si128(pdiff, ndiff), k_delta);
const __m128i adj = _mm_min_epu8(_mm_or_si128(pdiff, ndiff), k_delta);
// Restore the sign and get positive and negative adjustments.
__m128i padj, nadj;
padj = _mm_andnot_si128(diff_sign, adj);

18
webrtc/modules/video_processing/util/skin_detection.cc Executable file → Normal file
View File

@ -48,19 +48,13 @@ bool MbHasSkinColor(const uint8_t* y_src,
const int stride_v,
const int mb_row,
const int mb_col) {
const uint8_t* y =
y_src + ((mb_row << 4) + 8) * stride_y + (mb_col << 4) + 8;
const uint8_t* u =
u_src + ((mb_row << 3) + 4) * stride_u + (mb_col << 3) + 4;
const uint8_t* v =
v_src + ((mb_row << 3) + 4) * stride_v + (mb_col << 3) + 4;
const uint8_t* y = y_src + ((mb_row << 4) + 8) * stride_y + (mb_col << 4) + 8;
const uint8_t* u = u_src + ((mb_row << 3) + 4) * stride_u + (mb_col << 3) + 4;
const uint8_t* v = v_src + ((mb_row << 3) + 4) * stride_v + (mb_col << 3) + 4;
// Use 2x2 average of center pixel to compute skin area.
uint8_t y_avg =
(*y + *(y + 1) + *(y + stride_y) + *(y + stride_y + 1)) >> 2;
uint8_t u_avg =
(*u + *(u + 1) + *(u + stride_u) + *(u + stride_u + 1)) >> 2;
uint8_t v_avg =
(*v + *(v + 1) + *(v + stride_v) + *(v + stride_v + 1)) >> 2;
uint8_t y_avg = (*y + *(y + 1) + *(y + stride_y) + *(y + stride_y + 1)) >> 2;
uint8_t u_avg = (*u + *(u + 1) + *(u + stride_u) + *(u + stride_u + 1)) >> 2;
uint8_t v_avg = (*v + *(v + 1) + *(v + stride_v) + *(v + stride_v + 1)) >> 2;
// Ignore MB with too high or low brightness.
if (y_avg < y_low || y_avg > y_high)
return false;

44
webrtc/modules/video_processing/video_decimator.cc
View File

@ -23,7 +23,7 @@ VPMVideoDecimator::VPMVideoDecimator() {
VPMVideoDecimator::~VPMVideoDecimator() {}
void VPMVideoDecimator::Reset() {
void VPMVideoDecimator::Reset() {
overshoot_modifier_ = 0;
drop_count_ = 0;
keep_count_ = 0;
@ -43,14 +43,17 @@ void VPMVideoDecimator::SetTargetFramerate(int frame_rate) {
}
bool VPMVideoDecimator::DropFrame() {
if (!enable_temporal_decimation_) return false;
if (!enable_temporal_decimation_)
return false;
if (incoming_frame_rate_ <= 0) return false;
if (incoming_frame_rate_ <= 0)
return false;
const uint32_t incomingframe_rate =
static_cast<uint32_t>(incoming_frame_rate_ + 0.5f);
if (target_frame_rate_ == 0) return true;
if (target_frame_rate_ == 0)
return true;
bool drop = false;
if (incomingframe_rate > target_frame_rate_) {
@ -61,44 +64,43 @@ bool VPMVideoDecimator::DropFrame() {
overshoot_modifier_ = 0;
}
if (overshoot && 2 * overshoot < (int32_t) incomingframe_rate) {
if (overshoot && 2 * overshoot < (int32_t)incomingframe_rate) {
if (drop_count_) { // Just got here so drop to be sure.
drop_count_ = 0;
return true;
drop_count_ = 0;
return true;
}
const uint32_t dropVar = incomingframe_rate / overshoot;
if (keep_count_ >= dropVar) {
drop = true;
overshoot_modifier_ = -((int32_t) incomingframe_rate % overshoot) / 3;
keep_count_ = 1;
drop = true;
overshoot_modifier_ = -((int32_t)incomingframe_rate % overshoot) / 3;
keep_count_ = 1;
} else {
keep_count_++;
keep_count_++;
}
} else {
keep_count_ = 0;
const uint32_t dropVar = overshoot / target_frame_rate_;
if (drop_count_ < dropVar) {
drop = true;
drop_count_++;
drop = true;
drop_count_++;
} else {
overshoot_modifier_ = overshoot % target_frame_rate_;
drop = false;
drop_count_ = 0;
overshoot_modifier_ = overshoot % target_frame_rate_;
drop = false;
drop_count_ = 0;
}
}
}
return drop;
}
uint32_t VPMVideoDecimator::GetDecimatedFrameRate() {
ProcessIncomingframe_rate(TickTime::MillisecondTimestamp());
ProcessIncomingframe_rate(TickTime::MillisecondTimestamp());
if (!enable_temporal_decimation_) {
return static_cast<uint32_t>(incoming_frame_rate_ + 0.5f);
}
return VD_MIN(target_frame_rate_,
static_cast<uint32_t>(incoming_frame_rate_ + 0.5f));
static_cast<uint32_t>(incoming_frame_rate_ + 0.5f));
}
uint32_t VPMVideoDecimator::Inputframe_rate() {
@ -113,7 +115,7 @@ void VPMVideoDecimator::UpdateIncomingframe_rate() {
} else {
// Shift.
for (int i = kFrameCountHistory_size - 2; i >= 0; i--) {
incoming_frame_times_[i+1] = incoming_frame_times_[i];
incoming_frame_times_[i + 1] = incoming_frame_times_[i];
}
}
incoming_frame_times_[0] = now;
@ -133,7 +135,7 @@ void VPMVideoDecimator::ProcessIncomingframe_rate(int64_t now) {
}
}
if (num > 1) {
int64_t diff = now - incoming_frame_times_[num-1];
int64_t diff = now - incoming_frame_times_[num - 1];
incoming_frame_rate_ = 1.0;
if (diff > 0) {
incoming_frame_rate_ = nrOfFrames * 1000.0f / static_cast<float>(diff);

4
webrtc/modules/video_processing/video_decimator.h
View File

@ -40,8 +40,8 @@ class VPMVideoDecimator {
private:
void ProcessIncomingframe_rate(int64_t now);
enum { kFrameCountHistory_size = 90};
enum { kFrameHistoryWindowMs = 2000};
enum { kFrameCountHistory_size = 90 };
enum { kFrameHistoryWindowMs = 2000 };
// Temporal decimation.
int32_t overshoot_modifier_;

44
webrtc/modules/video_processing/video_denoiser.cc
View File

@ -14,9 +14,7 @@
namespace webrtc {
VideoDenoiser::VideoDenoiser()
: width_(0),
height_(0),
filter_(DenoiserFilter::Create()) {}
: width_(0), height_(0), filter_(DenoiserFilter::Create()) {}
void VideoDenoiser::TrailingReduction(int mb_rows,
int mb_cols,
@ -32,25 +30,26 @@ void VideoDenoiser::TrailingReduction(int mb_rows,
// do NOT denoise for the block. Set different threshold for skin MB.
// The change of denoising status will not propagate.
if (metrics_[mb_index].is_skin) {
// The threshold is high (more strict) for non-skin MB where the trailing
// usually happen.
// The threshold is high (more strict) for non-skin MB where the
// trailing usually happen.
if (metrics_[mb_index].denoise &&
metrics_[mb_index + 1].denoise +
metrics_[mb_index - 1].denoise +
metrics_[mb_index + mb_cols].denoise +
metrics_[mb_index - mb_cols].denoise <= 2) {
metrics_[mb_index + 1].denoise + metrics_[mb_index - 1].denoise +
metrics_[mb_index + mb_cols].denoise +
metrics_[mb_index - mb_cols].denoise <=
2) {
metrics_[mb_index].denoise = 0;
filter_->CopyMem16x16(mb_src, stride_y, mb_dst, stride_y);
}
} else if (metrics_[mb_index].denoise &&
metrics_[mb_index + 1].denoise +
metrics_[mb_index - 1].denoise +
metrics_[mb_index + mb_cols + 1].denoise +
metrics_[mb_index + mb_cols - 1].denoise +
metrics_[mb_index - mb_cols + 1].denoise +
metrics_[mb_index - mb_cols - 1].denoise +
metrics_[mb_index + mb_cols].denoise +
metrics_[mb_index - mb_cols].denoise <= 7) {
metrics_[mb_index - 1].denoise +
metrics_[mb_index + mb_cols + 1].denoise +
metrics_[mb_index + mb_cols - 1].denoise +
metrics_[mb_index - mb_cols + 1].denoise +
metrics_[mb_index - mb_cols - 1].denoise +
metrics_[mb_index + mb_cols].denoise +
metrics_[mb_index - mb_cols].denoise <=
7) {
filter_->CopyMem16x16(mb_src, stride_y, mb_dst, stride_y);
}
}
@ -91,23 +90,20 @@ void VideoDenoiser::DenoiseFrame(const VideoFrame& frame,
uint8_t y_tmp[16 * 16] = {0};
for (int mb_row = 0; mb_row < mb_rows; ++mb_row) {
for (int mb_col = 0; mb_col < mb_cols; ++mb_col) {
const uint8_t* mb_src =
y_src + (mb_row << 4) * stride_y + (mb_col << 4);
const uint8_t* mb_src = y_src + (mb_row << 4) * stride_y + (mb_col << 4);
uint8_t* mb_dst = y_dst + (mb_row << 4) * stride_y + (mb_col << 4);
int mb_index = mb_row * mb_cols + mb_col;
// Denoise each MB at the very start and save the result to a temporary
// buffer.
if (filter_->MbDenoise(
mb_dst, stride_y, y_tmp, 16, mb_src, stride_y, 0, 1) ==
FILTER_BLOCK) {
if (filter_->MbDenoise(mb_dst, stride_y, y_tmp, 16, mb_src, stride_y, 0,
1) == FILTER_BLOCK) {
uint32_t thr_var = 0;
// Save var and sad to the buffer.
metrics_[mb_index].var = filter_->Variance16x8(
mb_dst, stride_y, y_tmp, 16, &metrics_[mb_index].sad);
// Get skin map.
metrics_[mb_index].is_skin =
MbHasSkinColor(y_src, u_src, v_src, stride_y, stride_u, stride_v,
mb_row, mb_col);
metrics_[mb_index].is_skin = MbHasSkinColor(
y_src, u_src, v_src, stride_y, stride_u, stride_v, mb_row, mb_col);
// Variance threshold for skin/non-skin MB is different.
// Skin MB use a small threshold to reduce blockiness.
thr_var = metrics_[mb_index].is_skin ? 128 : 12 * 128;

7
webrtc/modules/video_processing/video_denoiser.h
View File

@ -22,8 +22,11 @@ class VideoDenoiser {
void DenoiseFrame(const VideoFrame& frame, VideoFrame* denoised_frame);
private:
void TrailingReduction(int mb_rows, int mb_cols, const uint8_t* y_src,
int stride_y, uint8_t* y_dst);
void TrailingReduction(int mb_rows,
int mb_cols,
const uint8_t* y_src,
int stride_y,
uint8_t* y_dst);
int width_;
int height_;
rtc::scoped_ptr<DenoiseMetrics[]> metrics_;

18
webrtc/modules/video_processing/video_processing_impl.cc
View File

@ -16,7 +16,6 @@
#include "webrtc/base/logging.h"
#include "webrtc/system_wrappers/include/critical_section_wrapper.h"
namespace webrtc {
namespace {
@ -62,8 +61,8 @@ void VideoProcessing::GetFrameStats(const VideoFrame& frame,
}
}
stats->num_pixels = (width * height) /
((1 << stats->sub_sampling_factor) * (1 << stats->sub_sampling_factor));
stats->num_pixels = (width * height) / ((1 << stats->sub_sampling_factor) *
(1 << stats->sub_sampling_factor));
assert(stats->num_pixels > 0);
// Compute mean value of frame
@ -112,22 +111,19 @@ int32_t VideoProcessingImpl::Deflickering(VideoFrame* frame,
return deflickering_.ProcessFrame(frame, stats);
}
int32_t VideoProcessingImpl::BrightnessDetection(
const VideoFrame& frame,
const FrameStats& stats) {
int32_t VideoProcessingImpl::BrightnessDetection(const VideoFrame& frame,
const FrameStats& stats) {
rtc::CritScope mutex(&mutex_);
return brightness_detection_.ProcessFrame(frame, stats);
}
void VideoProcessingImpl::EnableTemporalDecimation(bool enable) {
rtc::CritScope mutex(&mutex_);
frame_pre_processor_.EnableTemporalDecimation(enable);
}
void VideoProcessingImpl::SetInputFrameResampleMode(VideoFrameResampling
resampling_mode) {
void VideoProcessingImpl::SetInputFrameResampleMode(
VideoFrameResampling resampling_mode) {
rtc::CritScope cs(&mutex_);
frame_pre_processor_.SetInputFrameResampleMode(resampling_mode);
}
@ -146,7 +142,7 @@ void VideoProcessingImpl::SetTargetFramerate(int frame_rate) {
uint32_t VideoProcessingImpl::GetDecimatedFrameRate() {
rtc::CritScope cs(&mutex_);
return frame_pre_processor_.GetDecimatedFrameRate();
return frame_pre_processor_.GetDecimatedFrameRate();
}
uint32_t VideoProcessingImpl::GetDecimatedWidth() const {