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Reformat the WebRTC code base

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Running clang-format with chromium's style guide.

The goal is n-fold:
 * providing consistency and readability (that's what code guidelines are for)
 * preventing noise with presubmit checks and git cl format
 * building on the previous point: making it easier to automatically fix format issues
 * you name it

Please consider using git-hyper-blame to ignore this commit.

Bug: webrtc:9340
Change-Id: I694567c4cdf8cee2860958cfe82bfaf25848bb87
Reviewed-on: https://webrtc-review.googlesource.com/81185
Reviewed-by: Patrik Höglund <phoglund@webrtc.org>
Cr-Commit-Position: refs/heads/master@{#23660}
This commit is contained in:
Yves Gerey
2018-06-19 15:03:05 +02:00
parent b602123a5a
commit 665174fdbb
1569 changed files with 30495 additions and 30309 deletions
Download Patch File Download Diff File Expand all files Collapse all files

124
rtc_tools/agc/activity_metric.cc
View File

@ -8,7 +8,6 @@
* be found in the AUTHORS file in the root of the source tree.
*/
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
@ -32,21 +31,30 @@ static const int kAgcAnalWindowSamples = 100;
static const float kDefaultActivityThreshold = 0.3f;
DEFINE_bool(standalone_vad, true, "enable stand-alone VAD");
DEFINE_string(true_vad, "", "name of a file containing true VAD in 'int'"
DEFINE_string(true_vad,
"",
"name of a file containing true VAD in 'int'"
" format");
DEFINE_string(video_vad, "", "name of a file containing video VAD (activity"
DEFINE_string(video_vad,
"",
"name of a file containing video VAD (activity"
" probabilities) in double format. One activity per 10ms is"
" required. If no file is given the video information is not"
" incorporated. Negative activity is interpreted as video is"
" not adapted and the statistics are not computed during"
" the learning phase. Note that the negative video activities"
" are ONLY allowed at the beginning.");
DEFINE_string(result, "", "name of a file to write the results. The results"
DEFINE_string(result,
"",
"name of a file to write the results. The results"
" will be appended to the end of the file. This is optional.");
DEFINE_string(audio_content, "", "name of a file where audio content is written"
DEFINE_string(audio_content,
"",
"name of a file where audio content is written"
" to, in double format.");
DEFINE_float(activity_threshold, kDefaultActivityThreshold,
"Activity threshold");
DEFINE_float(activity_threshold,
kDefaultActivityThreshold,
"Activity threshold");
DEFINE_bool(help, false, "prints this message");
namespace webrtc {
@ -61,8 +69,8 @@ namespace webrtc {
static void DitherSilence(AudioFrame* frame) {
ASSERT_EQ(1u, frame->num_channels_);
const double kRmsSilence = 5;
const double sum_squared_silence = kRmsSilence * kRmsSilence *
frame->samples_per_channel_;
const double sum_squared_silence =
kRmsSilence * kRmsSilence * frame->samples_per_channel_;
double sum_squared = 0;
int16_t* frame_data = frame->mutable_data();
for (size_t n = 0; n < frame->samples_per_channel_; n++)
@ -97,21 +105,18 @@ class AgcStat {
audio_content_fid_ = audio_content_fid;
}
int AddAudio(const AudioFrame& frame, double p_video,
int* combined_vad) {
int AddAudio(const AudioFrame& frame, double p_video, int* combined_vad) {
if (frame.num_channels_ != 1 ||
frame.samples_per_channel_ !=
kSampleRateHz / 100 ||
frame.sample_rate_hz_ != kSampleRateHz)
frame.samples_per_channel_ != kSampleRateHz / 100 ||
frame.sample_rate_hz_ != kSampleRateHz)
return -1;
video_vad_[video_index_++] = p_video;
AudioFeatures features;
const int16_t* frame_data = frame.data();
audio_processing_->ExtractFeatures(
frame_data, frame.samples_per_channel_, &features);
audio_processing_->ExtractFeatures(frame_data, frame.samples_per_channel_,
&features);
if (FLAG_standalone_vad) {
standalone_vad_->AddAudio(frame_data,
frame.samples_per_channel_);
standalone_vad_->AddAudio(frame_data, frame.samples_per_channel_);
}
if (features.num_frames > 0) {
double p[kMaxNumFrames] = {0.5, 0.5, 0.5, 0.5};
@ -145,9 +150,7 @@ class AgcStat {
return static_cast<int>(features.num_frames);
}
void Reset() {
audio_content_->Reset();
}
void Reset() { audio_content_->Reset(); }
void SetActivityThreshold(double activity_threshold) {
activity_threshold_ = activity_threshold;
@ -165,7 +168,6 @@ class AgcStat {
FILE* audio_content_fid_;
};
void void_main(int argc, char* argv[]) {
webrtc::AgcStat agc_stat;
@ -178,10 +180,10 @@ void void_main(int argc, char* argv[]) {
FILE* true_vad_fid = NULL;
ASSERT_GT(strlen(FLAG_true_vad), 0u) << "Specify the file containing true "
"VADs using --true_vad flag.";
"VADs using --true_vad flag.";
true_vad_fid = fopen(FLAG_true_vad, "rb");
ASSERT_TRUE(true_vad_fid != NULL) << "Cannot open the active list " <<
FLAG_true_vad;
ASSERT_TRUE(true_vad_fid != NULL)
<< "Cannot open the active list " << FLAG_true_vad;
FILE* results_fid = NULL;
if (strlen(FLAG_result) > 0) {
@ -199,11 +201,12 @@ void void_main(int argc, char* argv[]) {
}
// Open in append mode.
results_fid = fopen(FLAG_result, "a");
ASSERT_TRUE(results_fid != NULL) << "Cannot open the file, " <<
FLAG_result << ", to write the results.";
ASSERT_TRUE(results_fid != NULL)
<< "Cannot open the file, " << FLAG_result << ", to write the results.";
// Write the header if required.
if (write_header) {
fprintf(results_fid, "%% Total Active, Misdetection, "
fprintf(results_fid,
"%% Total Active, Misdetection, "
"Total inactive, False Positive, On-sets, Missed segments, "
"Average response\n");
}
@ -212,8 +215,9 @@ void void_main(int argc, char* argv[]) {
FILE* video_vad_fid = NULL;
if (strlen(FLAG_video_vad) > 0) {
video_vad_fid = fopen(FLAG_video_vad, "rb");
ASSERT_TRUE(video_vad_fid != NULL) << "Cannot open the file, " <<
FLAG_video_vad << " to read video-based VAD decisions.\n";
ASSERT_TRUE(video_vad_fid != NULL)
<< "Cannot open the file, " << FLAG_video_vad
<< " to read video-based VAD decisions.\n";
}
// AgsStat will be the owner of this file and will close it at its
@ -221,8 +225,9 @@ void void_main(int argc, char* argv[]) {
FILE* audio_content_fid = NULL;
if (strlen(FLAG_audio_content) > 0) {
audio_content_fid = fopen(FLAG_audio_content, "wb");
ASSERT_TRUE(audio_content_fid != NULL) << "Cannot open file, " <<
FLAG_audio_content << " to write audio-content.\n";
ASSERT_TRUE(audio_content_fid != NULL)
<< "Cannot open file, " << FLAG_audio_content
<< " to write audio-content.\n";
agc_stat.set_audio_content_file(audio_content_fid);
}
@ -230,8 +235,8 @@ void void_main(int argc, char* argv[]) {
frame.num_channels_ = 1;
frame.sample_rate_hz_ = 16000;
frame.samples_per_channel_ = frame.sample_rate_hz_ / 100;
const size_t kSamplesToRead = frame.num_channels_ *
frame.samples_per_channel_;
const size_t kSamplesToRead =
frame.num_channels_ * frame.samples_per_channel_;
agc_stat.SetActivityThreshold(FLAG_activity_threshold);
@ -260,16 +265,17 @@ void void_main(int argc, char* argv[]) {
true_vad_fid))
<< "Size mismatch between True-VAD and the PCM file.\n";
if (video_vad_fid != NULL) {
ASSERT_EQ(1u, fread(&p_video, sizeof(p_video), 1, video_vad_fid)) <<
"Not enough video-based VAD probabilities.";
ASSERT_EQ(1u, fread(&p_video, sizeof(p_video), 1, video_vad_fid))
<< "Not enough video-based VAD probabilities.";
}
// Negative video activity indicates that the video-based VAD is not yet
// adapted. Disregards the learning phase in statistics.
if (p_video < 0) {
if (video_adapted) {
fprintf(stderr, "Negative video probabilities ONLY allowed at the "
"beginning of the sequence, not in the middle.\n");
fprintf(stderr,
"Negative video probabilities ONLY allowed at the "
"beginning of the sequence, not in the middle.\n");
exit(1);
}
continue;
@ -337,23 +343,15 @@ void void_main(int argc, char* argv[]) {
if (results_fid != NULL) {
fprintf(results_fid, "%4d %4d %4d %4d %4d %4d %4.0f %4.0f\n",
total_active,
total_missed_detection,
total_passive,
total_false_positive,
num_onsets,
num_not_adapted,
total_active, total_missed_detection, total_passive,
total_false_positive, num_onsets, num_not_adapted,
static_cast<float>(onset_adaptation) / (num_onsets + 1e-12),
static_cast<float>(total_false_positive_duration) /
(total_passive + 1e-12));
(total_passive + 1e-12));
}
fprintf(stdout, "%4d %4d %4d %4d %4d %4d %4.0f %4.0f\n",
total_active,
total_missed_detection,
total_passive,
total_false_positive,
num_onsets,
num_not_adapted,
fprintf(stdout, "%4d %4d %4d %4d %4d %4d %4.0f %4.0f\n", total_active,
total_missed_detection, total_passive, total_false_positive,
num_onsets, num_not_adapted,
static_cast<float>(onset_adaptation) / (num_onsets + 1e-12),
static_cast<float>(total_false_positive_duration) /
(total_passive + 1e-12));
@ -373,16 +371,18 @@ void void_main(int argc, char* argv[]) {
int main(int argc, char* argv[]) {
if (argc == 1) {
// Print usage information.
std::cout <<
"\nCompute the number of misdetected and false-positive frames. Not\n"
" that for each frame of audio (10 ms) there should be one true\n"
" activity. If any video-based activity is given, there should also be\n"
" one probability per frame.\n"
"Run with --help for more details on available flags.\n"
"\nUsage:\n\n"
"activity_metric input_pcm [options]\n"
"where 'input_pcm' is the input audio sampled at 16 kHz in 16 bits "
"format.\n\n";
std::cout
<< "\nCompute the number of misdetected and false-positive frames. "
"Not\n"
" that for each frame of audio (10 ms) there should be one true\n"
" activity. If any video-based activity is given, there should also "
"be\n"
" one probability per frame.\n"
"Run with --help for more details on available flags.\n"
"\nUsage:\n\n"
"activity_metric input_pcm [options]\n"
"where 'input_pcm' is the input audio sampled at 16 kHz in 16 bits "
"format.\n\n";
return 0;
}
rtc::FlagList::SetFlagsFromCommandLine(&argc, argv, true);