- Reset capture deltas at resolution change.
- Applied smoothing of capture jitter. - Adjusted thresholds. R=stefan@webrtc.org Review URL: https://webrtc-codereview.appspot.com/2070005 git-svn-id: http://webrtc.googlecode.com/svn/trunk@4817 4adac7df-926f-26a2-2b94-8c16560cd09d
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@ -10,9 +10,11 @@
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#include "webrtc/video_engine/overuse_frame_detector.h"
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#include <algorithm>
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#include <assert.h>
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#include <math.h>
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#include "webrtc/modules/video_coding/utility/include/exp_filter.h"
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#include "webrtc/system_wrappers/interface/clock.h"
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#include "webrtc/system_wrappers/interface/critical_section_wrapper.h"
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#include "webrtc/system_wrappers/interface/trace.h"
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@ -20,47 +22,23 @@
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namespace webrtc {
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Statistics::Statistics() { Reset(); }
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void Statistics::Reset() {
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sum_ = sum_squared_ = 0.0;
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count_ = 0;
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}
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void Statistics::AddSample(double sample) {
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sum_ += sample;
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sum_squared_ += sample * sample;
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++count_;
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}
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double Statistics::Mean() const {
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if (count_ == 0)
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return 0.0;
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return sum_ / count_;
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}
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double Statistics::Variance() const {
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if (count_ == 0)
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return 0.0;
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return sum_squared_ / count_ - Mean() * Mean();
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}
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double Statistics::StdDev() const { return sqrt(Variance()); }
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uint64_t Statistics::Samples() const { return count_; }
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// TODO(mflodman) Test different values for all of these to trigger correctly,
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// avoid fluctuations etc.
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namespace {
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const int64_t kProcessIntervalMs = 5000;
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// Limits on standard deviation for under/overuse.
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const double kOveruseStdDevMs = 15.0;
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const double kNormalUseStdDevMs = 10.0;
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// Rampdown checks.
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// Consecutive checks above threshold to trigger overuse.
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const int kConsecutiveChecksAboveThreshold = 2;
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// Minimum samples required to perform a check.
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const size_t kMinFrameSampleCount = 15;
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// Weight factor to apply to the standard deviation.
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const float kWeightFactor = 0.997f;
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// Weight factor to apply to the average.
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const float kWeightFactorMean = 0.98f;
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// Delay between consecutive rampups. (Used for quick recovery.)
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const int kQuickRampUpDelayMs = 10 * 1000;
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// Delay between rampup attempts. Initially uses standard, scales up to max.
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@ -69,12 +47,66 @@ const int kMaxRampUpDelayMs = 120 * 1000;
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// Expontential back-off factor, to prevent annoying up-down behaviour.
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const double kRampUpBackoffFactor = 2.0;
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// Minimum samples required to perform a check.
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const size_t kMinFrameSampleCount = 30;
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} // namespace
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OveruseFrameDetector::OveruseFrameDetector(Clock* clock)
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Statistics::Statistics() :
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sum_(0.0),
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count_(0),
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filtered_samples_(new VCMExpFilter(kWeightFactorMean)),
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filtered_variance_(new VCMExpFilter(kWeightFactor)) {
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}
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void Statistics::Reset() {
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sum_ = 0.0;
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count_ = 0;
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}
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void Statistics::AddSample(float sample_ms) {
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sum_ += sample_ms;
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++count_;
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if (count_ < kMinFrameSampleCount) {
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// Initialize filtered samples.
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filtered_samples_->Reset(kWeightFactorMean);
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filtered_samples_->Apply(1.0f, InitialMean());
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filtered_variance_->Reset(kWeightFactor);
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filtered_variance_->Apply(1.0f, InitialVariance());
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return;
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}
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float exp = sample_ms/33.0f;
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exp = std::min(exp, 7.0f);
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filtered_samples_->Apply(exp, sample_ms);
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filtered_variance_->Apply(exp, (sample_ms - filtered_samples_->Value()) *
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(sample_ms - filtered_samples_->Value()));
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}
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float Statistics::InitialMean() const {
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if (count_ == 0)
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return 0.0;
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return sum_ / count_;
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}
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float Statistics::InitialVariance() const {
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// Start in between the underuse and overuse threshold.
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float average_stddev = (kNormalUseStdDevMs + kOveruseStdDevMs)/2.0f;
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return average_stddev * average_stddev;
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}
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float Statistics::Mean() const { return filtered_samples_->Value(); }
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float Statistics::StdDev() const {
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return sqrt(std::max(filtered_variance_->Value(), 0.0f));
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}
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uint64_t Statistics::Count() const { return count_; }
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OveruseFrameDetector::OveruseFrameDetector(Clock* clock,
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float normaluse_stddev_ms,
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float overuse_stddev_ms)
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: crit_(CriticalSectionWrapper::CreateCriticalSection()),
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normaluse_stddev_ms_(normaluse_stddev_ms),
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overuse_stddev_ms_(overuse_stddev_ms),
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observer_(NULL),
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clock_(clock),
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next_process_time_(clock_->TimeInMilliseconds()),
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@ -83,7 +115,8 @@ OveruseFrameDetector::OveruseFrameDetector(Clock* clock)
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checks_above_threshold_(0),
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last_rampup_time_(0),
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in_quick_rampup_(false),
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current_rampup_delay_ms_(kStandardRampUpDelayMs) {}
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current_rampup_delay_ms_(kStandardRampUpDelayMs),
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num_pixels_(0) {}
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OveruseFrameDetector::~OveruseFrameDetector() {
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}
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@ -93,8 +126,17 @@ void OveruseFrameDetector::SetObserver(CpuOveruseObserver* observer) {
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observer_ = observer;
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}
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void OveruseFrameDetector::FrameCaptured() {
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void OveruseFrameDetector::FrameCaptured(int width, int height) {
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CriticalSectionScoped cs(crit_.get());
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int num_pixels = width * height;
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if (num_pixels != num_pixels_) {
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// Frame size changed, reset statistics.
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num_pixels_ = num_pixels;
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capture_deltas_.Reset();
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last_capture_time_ = 0;
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}
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int64_t time = clock_->TimeInMilliseconds();
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if (last_capture_time_ != 0) {
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capture_deltas_.AddSample(time - last_capture_time_);
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@ -118,8 +160,8 @@ int32_t OveruseFrameDetector::Process() {
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next_process_time_ = now + kProcessIntervalMs;
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// Don't trigger overuse unless we've seen any frames
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if (capture_deltas_.Samples() < kMinFrameSampleCount)
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// Don't trigger overuse unless we've seen a certain number of frames.
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if (capture_deltas_.Count() < kMinFrameSampleCount)
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return 0;
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if (IsOverusing()) {
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@ -153,12 +195,6 @@ int32_t OveruseFrameDetector::Process() {
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observer_->NormalUsage();
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}
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capture_deltas_.Reset();
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return 0;
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}
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bool OveruseFrameDetector::IsOverusing() {
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WEBRTC_TRACE(
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webrtc::kTraceInfo,
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webrtc::kTraceVideo,
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@ -169,10 +205,14 @@ bool OveruseFrameDetector::IsOverusing() {
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capture_deltas_.Mean(),
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capture_deltas_.StdDev(),
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in_quick_rampup_ ? kQuickRampUpDelayMs : current_rampup_delay_ms_,
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kOveruseStdDevMs,
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kNormalUseStdDevMs);
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overuse_stddev_ms_,
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normaluse_stddev_ms_);
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if (capture_deltas_.StdDev() >= kOveruseStdDevMs) {
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return 0;
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}
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bool OveruseFrameDetector::IsOverusing() {
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if (capture_deltas_.StdDev() >= overuse_stddev_ms_) {
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++checks_above_threshold_;
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} else {
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checks_above_threshold_ = 0;
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@ -186,6 +226,6 @@ bool OveruseFrameDetector::IsUnderusing(int64_t time_now) {
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if (time_now < last_rampup_time_ + delay)
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return false;
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return capture_deltas_.StdDev() < kNormalUseStdDevMs;
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return capture_deltas_.StdDev() < normaluse_stddev_ms_;
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}
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} // namespace webrtc
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namespace webrtc {
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class Clock;
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class CriticalSectionWrapper;
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class CpuOveruseObserver;
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class CriticalSectionWrapper;
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class VCMExpFilter;
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// TODO(pbos): Move this somewhere appropriate
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// Limits on standard deviation for under/overuse.
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#ifdef WEBRTC_LINUX
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const float kOveruseStdDevMs = 15.0f;
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const float kNormalUseStdDevMs = 7.0f;
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#elif WEBRTC_MAC
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const float kOveruseStdDevMs = 22.0f;
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const float kNormalUseStdDevMs = 12.0f;
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#else
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const float kOveruseStdDevMs = 17.0f;
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const float kNormalUseStdDevMs = 10.0f;
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#endif
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// TODO(pbos): Move this somewhere appropriate.
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class Statistics {
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public:
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Statistics();
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void AddSample(double sample);
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void AddSample(float sample_ms);
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void Reset();
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double Mean() const;
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double Variance() const;
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double StdDev() const;
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uint64_t Samples() const;
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float Mean() const;
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float StdDev() const;
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uint64_t Count() const;
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private:
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double sum_;
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double sum_squared_;
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float InitialMean() const;
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float InitialVariance() const;
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float sum_;
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uint64_t count_;
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scoped_ptr<VCMExpFilter> filtered_samples_;
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scoped_ptr<VCMExpFilter> filtered_variance_;
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};
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// Use to detect system overuse based on jitter in incoming frames.
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class OveruseFrameDetector : public Module {
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public:
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explicit OveruseFrameDetector(Clock* clock);
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explicit OveruseFrameDetector(Clock* clock,
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float normaluse_stddev_ms,
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float overuse_stddev_ms);
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~OveruseFrameDetector();
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// Registers an observer receiving overuse and underuse callbacks. Set
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@ -51,7 +69,7 @@ class OveruseFrameDetector : public Module {
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void SetObserver(CpuOveruseObserver* observer);
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// Called for each captured frame.
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void FrameCaptured();
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void FrameCaptured(int width, int height);
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// Implements Module.
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virtual int32_t TimeUntilNextProcess() OVERRIDE;
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// Protecting all members.
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scoped_ptr<CriticalSectionWrapper> crit_;
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// Limits on standard deviation for under/overuse.
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const float normaluse_stddev_ms_;
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const float overuse_stddev_ms_;
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// Observer getting overuse reports.
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CpuOveruseObserver* observer_;
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@ -80,6 +102,9 @@ class OveruseFrameDetector : public Module {
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bool in_quick_rampup_;
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int current_rampup_delay_ms_;
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// Number of pixels of last captured frame.
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int num_pixels_;
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DISALLOW_COPY_AND_ASSIGN(OveruseFrameDetector);
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};
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virtual void SetUp() {
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clock_.reset(new SimulatedClock(1234));
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observer_.reset(new MockCpuOveruseObserver());
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overuse_detector_.reset(new OveruseFrameDetector(clock_.get()));
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overuse_detector_.reset(new OveruseFrameDetector(clock_.get(),
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10.0f,
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15.0f));
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overuse_detector_->SetObserver(observer_.get());
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}
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void InsertFramesWithInterval(size_t num_frames, int interval_ms) {
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while (num_frames-- > 0) {
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clock_->AdvanceTimeMilliseconds(interval_ms);
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overuse_detector_->FrameCaptured();
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overuse_detector_->FrameCaptured(640, 480);
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}
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}
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@ -48,12 +50,12 @@ class OveruseFrameDetectorTest : public ::testing::Test {
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EXPECT_CALL(*(observer_.get()), OveruseDetected()).Times(1);
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InsertFramesWithInterval(30, regular_frame_interval_ms);
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InsertFramesWithInterval(30, 1000);
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InsertFramesWithInterval(50, regular_frame_interval_ms);
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InsertFramesWithInterval(50, 110);
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overuse_detector_->Process();
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InsertFramesWithInterval(30, regular_frame_interval_ms);
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InsertFramesWithInterval(30, 1000);
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InsertFramesWithInterval(50, regular_frame_interval_ms);
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InsertFramesWithInterval(50, 110);
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overuse_detector_->Process();
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}
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@ -62,7 +64,7 @@ class OveruseFrameDetectorTest : public ::testing::Test {
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EXPECT_CALL(*(observer_.get()), NormalUsage()).Times(testing::AtLeast(1));
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InsertFramesWithInterval(300, regular_frame_interval_ms);
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InsertFramesWithInterval(900, regular_frame_interval_ms);
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overuse_detector_->Process();
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}
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denoising_enabled_(false),
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observer_cs_(CriticalSectionWrapper::CreateCriticalSection()),
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observer_(NULL),
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overuse_detector_(new OveruseFrameDetector(Clock::GetRealTimeClock())) {
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overuse_detector_(new OveruseFrameDetector(Clock::GetRealTimeClock(),
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kNormalUseStdDevMs,
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kOveruseStdDevMs)) {
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WEBRTC_TRACE(kTraceMemory, kTraceVideo, ViEId(engine_id, capture_id),
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"ViECapturer::ViECapturer(capture_id: %d, engine_id: %d)",
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capture_id, engine_id);
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@ -350,7 +352,8 @@ void ViECapturer::OnIncomingCapturedFrame(const int32_t capture_id,
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captured_frame_.SwapFrame(&video_frame);
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capture_event_.Set();
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overuse_detector_->FrameCaptured();
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overuse_detector_->FrameCaptured(captured_frame_.width(),
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captured_frame_.height());
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return;
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}
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