aboutsummaryrefslogtreecommitdiff
path: root/video/overuse_frame_detector.cc
diff options
context:
space:
mode:
authorMirko Bonadei <mbonadei@webrtc.org>2017-09-15 06:15:48 +0200
committerCommit Bot <commit-bot@chromium.org>2017-09-15 04:25:06 +0000
commitbb547203bfebcc478b263c4e9ca173c6fd5a0c5d (patch)
tree951bcf8fc3e28a2cc00dc4ea884c3911c00c4b8f /video/overuse_frame_detector.cc
parent6674846b4adc999f69bfdb12080749d4e4ab729d (diff)
downloadwebrtc-bb547203bfebcc478b263c4e9ca173c6fd5a0c5d.tar.gz
Moving src/webrtc into src/.
In order to eliminate the WebRTC Subtree mirror in Chromium, WebRTC is moving the content of the src/webrtc directory up to the src/ directory. NOPRESUBMIT=true NOTREECHECKS=true NOTRY=true TBR=tommi@webrtc.org Bug: chromium:611808 Change-Id: Iac59c5b51b950f174119565bac87955a7994bc38 Reviewed-on: https://webrtc-review.googlesource.com/1560 Commit-Queue: Mirko Bonadei <mbonadei@webrtc.org> Reviewed-by: Henrik Kjellander <kjellander@webrtc.org> Cr-Commit-Position: refs/heads/master@{#19845}
Diffstat (limited to 'video/overuse_frame_detector.cc')
-rw-r--r--video/overuse_frame_detector.cc562
1 files changed, 562 insertions, 0 deletions
diff --git a/video/overuse_frame_detector.cc b/video/overuse_frame_detector.cc
new file mode 100644
index 0000000000..1d8bc0b450
--- /dev/null
+++ b/video/overuse_frame_detector.cc
@@ -0,0 +1,562 @@
+/*
+ * Copyright (c) 2013 The WebRTC project authors. All Rights Reserved.
+ *
+ * Use of this source code is governed by a BSD-style license
+ * that can be found in the LICENSE file in the root of the source
+ * tree. An additional intellectual property rights grant can be found
+ * in the file PATENTS. All contributing project authors may
+ * be found in the AUTHORS file in the root of the source tree.
+ */
+
+#include "webrtc/video/overuse_frame_detector.h"
+
+#include <assert.h>
+#include <math.h>
+
+#include <algorithm>
+#include <list>
+#include <map>
+#include <string>
+#include <utility>
+
+#include "webrtc/api/video/video_frame.h"
+#include "webrtc/common_video/include/frame_callback.h"
+#include "webrtc/rtc_base/checks.h"
+#include "webrtc/rtc_base/logging.h"
+#include "webrtc/rtc_base/numerics/exp_filter.h"
+#include "webrtc/rtc_base/timeutils.h"
+#include "webrtc/system_wrappers/include/field_trial.h"
+
+#if defined(WEBRTC_MAC) && !defined(WEBRTC_IOS)
+#include <mach/mach.h>
+#endif // defined(WEBRTC_MAC) && !defined(WEBRTC_IOS)
+
+namespace webrtc {
+
+namespace {
+const int64_t kCheckForOveruseIntervalMs = 5000;
+const int64_t kTimeToFirstCheckForOveruseMs = 100;
+
+// Delay between consecutive rampups. (Used for quick recovery.)
+const int kQuickRampUpDelayMs = 10 * 1000;
+// Delay between rampup attempts. Initially uses standard, scales up to max.
+const int kStandardRampUpDelayMs = 40 * 1000;
+const int kMaxRampUpDelayMs = 240 * 1000;
+// Expontential back-off factor, to prevent annoying up-down behaviour.
+const double kRampUpBackoffFactor = 2.0;
+
+// Max number of overuses detected before always applying the rampup delay.
+const int kMaxOverusesBeforeApplyRampupDelay = 4;
+
+// The maximum exponent to use in VCMExpFilter.
+const float kMaxExp = 7.0f;
+// Default value used before first reconfiguration.
+const int kDefaultFrameRate = 30;
+// Default sample diff, default frame rate.
+const float kDefaultSampleDiffMs = 1000.0f / kDefaultFrameRate;
+// A factor applied to the sample diff on OnTargetFramerateUpdated to determine
+// a max limit for the sample diff. For instance, with a framerate of 30fps,
+// the sample diff is capped to (1000 / 30) * 1.35 = 45ms. This prevents
+// triggering too soon if there are individual very large outliers.
+const float kMaxSampleDiffMarginFactor = 1.35f;
+// Minimum framerate allowed for usage calculation. This prevents crazy long
+// encode times from being accepted if the frame rate happens to be low.
+const int kMinFramerate = 7;
+const int kMaxFramerate = 30;
+
+const auto kScaleReasonCpu = AdaptationObserverInterface::AdaptReason::kCpu;
+} // namespace
+
+CpuOveruseOptions::CpuOveruseOptions()
+ : high_encode_usage_threshold_percent(85),
+ frame_timeout_interval_ms(1500),
+ min_frame_samples(120),
+ min_process_count(3),
+ high_threshold_consecutive_count(2) {
+#if defined(WEBRTC_MAC) && !defined(WEBRTC_IOS)
+ // This is proof-of-concept code for letting the physical core count affect
+ // the interval into which we attempt to scale. For now, the code is Mac OS
+ // specific, since that's the platform were we saw most problems.
+ // TODO(torbjorng): Enhance SystemInfo to return this metric.
+
+ mach_port_t mach_host = mach_host_self();
+ host_basic_info hbi = {};
+ mach_msg_type_number_t info_count = HOST_BASIC_INFO_COUNT;
+ kern_return_t kr =
+ host_info(mach_host, HOST_BASIC_INFO, reinterpret_cast<host_info_t>(&hbi),
+ &info_count);
+ mach_port_deallocate(mach_task_self(), mach_host);
+
+ int n_physical_cores;
+ if (kr != KERN_SUCCESS) {
+ // If we couldn't get # of physical CPUs, don't panic. Assume we have 1.
+ n_physical_cores = 1;
+ LOG(LS_ERROR) << "Failed to determine number of physical cores, assuming 1";
+ } else {
+ n_physical_cores = hbi.physical_cpu;
+ LOG(LS_INFO) << "Number of physical cores:" << n_physical_cores;
+ }
+
+ // Change init list default for few core systems. The assumption here is that
+ // encoding, which we measure here, takes about 1/4 of the processing of a
+ // two-way call. This is roughly true for x86 using both vp8 and vp9 without
+ // hardware encoding. Since we don't affect the incoming stream here, we only
+ // control about 1/2 of the total processing needs, but this is not taken into
+ // account.
+ if (n_physical_cores == 1)
+ high_encode_usage_threshold_percent = 20; // Roughly 1/4 of 100%.
+ else if (n_physical_cores == 2)
+ high_encode_usage_threshold_percent = 40; // Roughly 1/4 of 200%.
+#endif // defined(WEBRTC_MAC) && !defined(WEBRTC_IOS)
+
+ // Note that we make the interval 2x+epsilon wide, since libyuv scaling steps
+ // are close to that (when squared). This wide interval makes sure that
+ // scaling up or down does not jump all the way across the interval.
+ low_encode_usage_threshold_percent =
+ (high_encode_usage_threshold_percent - 1) / 2;
+}
+
+// Class for calculating the processing usage on the send-side (the average
+// processing time of a frame divided by the average time difference between
+// captured frames).
+class OveruseFrameDetector::SendProcessingUsage {
+ public:
+ explicit SendProcessingUsage(const CpuOveruseOptions& options)
+ : kWeightFactorFrameDiff(0.998f),
+ kWeightFactorProcessing(0.995f),
+ kInitialSampleDiffMs(40.0f),
+ count_(0),
+ options_(options),
+ max_sample_diff_ms_(kDefaultSampleDiffMs * kMaxSampleDiffMarginFactor),
+ filtered_processing_ms_(new rtc::ExpFilter(kWeightFactorProcessing)),
+ filtered_frame_diff_ms_(new rtc::ExpFilter(kWeightFactorFrameDiff)) {
+ Reset();
+ }
+ virtual ~SendProcessingUsage() {}
+
+ void Reset() {
+ count_ = 0;
+ max_sample_diff_ms_ = kDefaultSampleDiffMs * kMaxSampleDiffMarginFactor;
+ filtered_frame_diff_ms_->Reset(kWeightFactorFrameDiff);
+ filtered_frame_diff_ms_->Apply(1.0f, kInitialSampleDiffMs);
+ filtered_processing_ms_->Reset(kWeightFactorProcessing);
+ filtered_processing_ms_->Apply(1.0f, InitialProcessingMs());
+ }
+
+ void SetMaxSampleDiffMs(float diff_ms) { max_sample_diff_ms_ = diff_ms; }
+
+ void AddCaptureSample(float sample_ms) {
+ float exp = sample_ms / kDefaultSampleDiffMs;
+ exp = std::min(exp, kMaxExp);
+ filtered_frame_diff_ms_->Apply(exp, sample_ms);
+ }
+
+ void AddSample(float processing_ms, int64_t diff_last_sample_ms) {
+ ++count_;
+ float exp = diff_last_sample_ms / kDefaultSampleDiffMs;
+ exp = std::min(exp, kMaxExp);
+ filtered_processing_ms_->Apply(exp, processing_ms);
+ }
+
+ virtual int Value() {
+ if (count_ < static_cast<uint32_t>(options_.min_frame_samples)) {
+ return static_cast<int>(InitialUsageInPercent() + 0.5f);
+ }
+ float frame_diff_ms = std::max(filtered_frame_diff_ms_->filtered(), 1.0f);
+ frame_diff_ms = std::min(frame_diff_ms, max_sample_diff_ms_);
+ float encode_usage_percent =
+ 100.0f * filtered_processing_ms_->filtered() / frame_diff_ms;
+ return static_cast<int>(encode_usage_percent + 0.5);
+ }
+
+ private:
+ float InitialUsageInPercent() const {
+ // Start in between the underuse and overuse threshold.
+ return (options_.low_encode_usage_threshold_percent +
+ options_.high_encode_usage_threshold_percent) / 2.0f;
+ }
+
+ float InitialProcessingMs() const {
+ return InitialUsageInPercent() * kInitialSampleDiffMs / 100;
+ }
+
+ const float kWeightFactorFrameDiff;
+ const float kWeightFactorProcessing;
+ const float kInitialSampleDiffMs;
+ uint64_t count_;
+ const CpuOveruseOptions options_;
+ float max_sample_diff_ms_;
+ std::unique_ptr<rtc::ExpFilter> filtered_processing_ms_;
+ std::unique_ptr<rtc::ExpFilter> filtered_frame_diff_ms_;
+};
+
+// Class used for manual testing of overuse, enabled via field trial flag.
+class OveruseFrameDetector::OverdoseInjector
+ : public OveruseFrameDetector::SendProcessingUsage {
+ public:
+ OverdoseInjector(const CpuOveruseOptions& options,
+ int64_t normal_period_ms,
+ int64_t overuse_period_ms,
+ int64_t underuse_period_ms)
+ : OveruseFrameDetector::SendProcessingUsage(options),
+ normal_period_ms_(normal_period_ms),
+ overuse_period_ms_(overuse_period_ms),
+ underuse_period_ms_(underuse_period_ms),
+ state_(State::kNormal),
+ last_toggling_ms_(-1) {
+ RTC_DCHECK_GT(overuse_period_ms, 0);
+ RTC_DCHECK_GT(normal_period_ms, 0);
+ LOG(LS_INFO) << "Simulating overuse with intervals " << normal_period_ms
+ << "ms normal mode, " << overuse_period_ms
+ << "ms overuse mode.";
+ }
+
+ ~OverdoseInjector() override {}
+
+ int Value() override {
+ int64_t now_ms = rtc::TimeMillis();
+ if (last_toggling_ms_ == -1) {
+ last_toggling_ms_ = now_ms;
+ } else {
+ switch (state_) {
+ case State::kNormal:
+ if (now_ms > last_toggling_ms_ + normal_period_ms_) {
+ state_ = State::kOveruse;
+ last_toggling_ms_ = now_ms;
+ LOG(LS_INFO) << "Simulating CPU overuse.";
+ }
+ break;
+ case State::kOveruse:
+ if (now_ms > last_toggling_ms_ + overuse_period_ms_) {
+ state_ = State::kUnderuse;
+ last_toggling_ms_ = now_ms;
+ LOG(LS_INFO) << "Simulating CPU underuse.";
+ }
+ break;
+ case State::kUnderuse:
+ if (now_ms > last_toggling_ms_ + underuse_period_ms_) {
+ state_ = State::kNormal;
+ last_toggling_ms_ = now_ms;
+ LOG(LS_INFO) << "Actual CPU overuse measurements in effect.";
+ }
+ break;
+ }
+ }
+
+ rtc::Optional<int> overried_usage_value;
+ switch (state_) {
+ case State::kNormal:
+ break;
+ case State::kOveruse:
+ overried_usage_value.emplace(250);
+ break;
+ case State::kUnderuse:
+ overried_usage_value.emplace(5);
+ break;
+ }
+
+ return overried_usage_value.value_or(SendProcessingUsage::Value());
+ }
+
+ private:
+ const int64_t normal_period_ms_;
+ const int64_t overuse_period_ms_;
+ const int64_t underuse_period_ms_;
+ enum class State { kNormal, kOveruse, kUnderuse } state_;
+ int64_t last_toggling_ms_;
+};
+
+std::unique_ptr<OveruseFrameDetector::SendProcessingUsage>
+OveruseFrameDetector::CreateSendProcessingUsage(
+ const CpuOveruseOptions& options) {
+ std::unique_ptr<SendProcessingUsage> instance;
+ std::string toggling_interval =
+ field_trial::FindFullName("WebRTC-ForceSimulatedOveruseIntervalMs");
+ if (!toggling_interval.empty()) {
+ int normal_period_ms = 0;
+ int overuse_period_ms = 0;
+ int underuse_period_ms = 0;
+ if (sscanf(toggling_interval.c_str(), "%d-%d-%d", &normal_period_ms,
+ &overuse_period_ms, &underuse_period_ms) == 3) {
+ if (normal_period_ms > 0 && overuse_period_ms > 0 &&
+ underuse_period_ms > 0) {
+ instance.reset(new OverdoseInjector(
+ options, normal_period_ms, overuse_period_ms, underuse_period_ms));
+ } else {
+ LOG(LS_WARNING)
+ << "Invalid (non-positive) normal/overuse/underuse periods: "
+ << normal_period_ms << " / " << overuse_period_ms << " / "
+ << underuse_period_ms;
+ }
+ } else {
+ LOG(LS_WARNING) << "Malformed toggling interval: " << toggling_interval;
+ }
+ }
+
+ if (!instance) {
+ // No valid overuse simulation parameters set, use normal usage class.
+ instance.reset(new SendProcessingUsage(options));
+ }
+
+ return instance;
+}
+
+class OveruseFrameDetector::CheckOveruseTask : public rtc::QueuedTask {
+ public:
+ explicit CheckOveruseTask(OveruseFrameDetector* overuse_detector)
+ : overuse_detector_(overuse_detector) {
+ rtc::TaskQueue::Current()->PostDelayedTask(
+ std::unique_ptr<rtc::QueuedTask>(this), kTimeToFirstCheckForOveruseMs);
+ }
+
+ void Stop() {
+ RTC_CHECK(task_checker_.CalledSequentially());
+ overuse_detector_ = nullptr;
+ }
+
+ private:
+ bool Run() override {
+ RTC_CHECK(task_checker_.CalledSequentially());
+ if (!overuse_detector_)
+ return true; // This will make the task queue delete this task.
+ overuse_detector_->CheckForOveruse();
+
+ rtc::TaskQueue::Current()->PostDelayedTask(
+ std::unique_ptr<rtc::QueuedTask>(this), kCheckForOveruseIntervalMs);
+ // Return false to prevent this task from being deleted. Ownership has been
+ // transferred to the task queue when PostDelayedTask was called.
+ return false;
+ }
+ rtc::SequencedTaskChecker task_checker_;
+ OveruseFrameDetector* overuse_detector_;
+};
+
+OveruseFrameDetector::OveruseFrameDetector(
+ const CpuOveruseOptions& options,
+ AdaptationObserverInterface* observer,
+ EncodedFrameObserver* encoder_timing,
+ CpuOveruseMetricsObserver* metrics_observer)
+ : check_overuse_task_(nullptr),
+ options_(options),
+ observer_(observer),
+ encoder_timing_(encoder_timing),
+ metrics_observer_(metrics_observer),
+ num_process_times_(0),
+ // TODO(nisse): Use rtc::Optional
+ last_capture_time_us_(-1),
+ last_processed_capture_time_us_(-1),
+ num_pixels_(0),
+ max_framerate_(kDefaultFrameRate),
+ last_overuse_time_ms_(-1),
+ checks_above_threshold_(0),
+ num_overuse_detections_(0),
+ last_rampup_time_ms_(-1),
+ in_quick_rampup_(false),
+ current_rampup_delay_ms_(kStandardRampUpDelayMs),
+ usage_(CreateSendProcessingUsage(options)) {
+ task_checker_.Detach();
+}
+
+OveruseFrameDetector::~OveruseFrameDetector() {
+ RTC_DCHECK(!check_overuse_task_) << "StopCheckForOverUse must be called.";
+}
+
+void OveruseFrameDetector::StartCheckForOveruse() {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ RTC_DCHECK(!check_overuse_task_);
+ check_overuse_task_ = new CheckOveruseTask(this);
+}
+void OveruseFrameDetector::StopCheckForOveruse() {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ check_overuse_task_->Stop();
+ check_overuse_task_ = nullptr;
+}
+
+void OveruseFrameDetector::EncodedFrameTimeMeasured(int encode_duration_ms) {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ if (!metrics_)
+ metrics_ = rtc::Optional<CpuOveruseMetrics>(CpuOveruseMetrics());
+ metrics_->encode_usage_percent = usage_->Value();
+
+ metrics_observer_->OnEncodedFrameTimeMeasured(encode_duration_ms, *metrics_);
+}
+
+bool OveruseFrameDetector::FrameSizeChanged(int num_pixels) const {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ if (num_pixels != num_pixels_) {
+ return true;
+ }
+ return false;
+}
+
+bool OveruseFrameDetector::FrameTimeoutDetected(int64_t now_us) const {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ if (last_capture_time_us_ == -1)
+ return false;
+ return (now_us - last_capture_time_us_) >
+ options_.frame_timeout_interval_ms * rtc::kNumMicrosecsPerMillisec;
+}
+
+void OveruseFrameDetector::ResetAll(int num_pixels) {
+ // Reset state, as a result resolution being changed. Do not however change
+ // the current frame rate back to the default.
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ num_pixels_ = num_pixels;
+ usage_->Reset();
+ frame_timing_.clear();
+ last_capture_time_us_ = -1;
+ last_processed_capture_time_us_ = -1;
+ num_process_times_ = 0;
+ metrics_ = rtc::Optional<CpuOveruseMetrics>();
+ OnTargetFramerateUpdated(max_framerate_);
+}
+
+void OveruseFrameDetector::OnTargetFramerateUpdated(int framerate_fps) {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ RTC_DCHECK_GE(framerate_fps, 0);
+ max_framerate_ = std::min(kMaxFramerate, framerate_fps);
+ usage_->SetMaxSampleDiffMs((1000 / std::max(kMinFramerate, max_framerate_)) *
+ kMaxSampleDiffMarginFactor);
+}
+
+void OveruseFrameDetector::FrameCaptured(const VideoFrame& frame,
+ int64_t time_when_first_seen_us) {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+
+ if (FrameSizeChanged(frame.width() * frame.height()) ||
+ FrameTimeoutDetected(time_when_first_seen_us)) {
+ ResetAll(frame.width() * frame.height());
+ }
+
+ if (last_capture_time_us_ != -1)
+ usage_->AddCaptureSample(
+ 1e-3 * (time_when_first_seen_us - last_capture_time_us_));
+
+ last_capture_time_us_ = time_when_first_seen_us;
+
+ frame_timing_.push_back(FrameTiming(frame.timestamp_us(), frame.timestamp(),
+ time_when_first_seen_us));
+}
+
+void OveruseFrameDetector::FrameSent(uint32_t timestamp,
+ int64_t time_sent_in_us) {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ // Delay before reporting actual encoding time, used to have the ability to
+ // detect total encoding time when encoding more than one layer. Encoding is
+ // here assumed to finish within a second (or that we get enough long-time
+ // samples before one second to trigger an overuse even when this is not the
+ // case).
+ static const int64_t kEncodingTimeMeasureWindowMs = 1000;
+ for (auto& it : frame_timing_) {
+ if (it.timestamp == timestamp) {
+ it.last_send_us = time_sent_in_us;
+ break;
+ }
+ }
+ // TODO(pbos): Handle the case/log errors when not finding the corresponding
+ // frame (either very slow encoding or incorrect wrong timestamps returned
+ // from the encoder).
+ // This is currently the case for all frames on ChromeOS, so logging them
+ // would be spammy, and triggering overuse would be wrong.
+ // https://crbug.com/350106
+ while (!frame_timing_.empty()) {
+ FrameTiming timing = frame_timing_.front();
+ if (time_sent_in_us - timing.capture_us <
+ kEncodingTimeMeasureWindowMs * rtc::kNumMicrosecsPerMillisec) {
+ break;
+ }
+ if (timing.last_send_us != -1) {
+ int encode_duration_us =
+ static_cast<int>(timing.last_send_us - timing.capture_us);
+ if (encoder_timing_) {
+ // TODO(nisse): Update encoder_timing_ to also use us units.
+ encoder_timing_->OnEncodeTiming(timing.capture_time_us /
+ rtc::kNumMicrosecsPerMillisec,
+ encode_duration_us /
+ rtc::kNumMicrosecsPerMillisec);
+ }
+ if (last_processed_capture_time_us_ != -1) {
+ int64_t diff_us = timing.capture_us - last_processed_capture_time_us_;
+ usage_->AddSample(1e-3 * encode_duration_us, 1e-3 * diff_us);
+ }
+ last_processed_capture_time_us_ = timing.capture_us;
+ EncodedFrameTimeMeasured(encode_duration_us /
+ rtc::kNumMicrosecsPerMillisec);
+ }
+ frame_timing_.pop_front();
+ }
+}
+
+void OveruseFrameDetector::CheckForOveruse() {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ ++num_process_times_;
+ if (num_process_times_ <= options_.min_process_count || !metrics_)
+ return;
+
+ int64_t now_ms = rtc::TimeMillis();
+
+ if (IsOverusing(*metrics_)) {
+ // If the last thing we did was going up, and now have to back down, we need
+ // to check if this peak was short. If so we should back off to avoid going
+ // back and forth between this load, the system doesn't seem to handle it.
+ bool check_for_backoff = last_rampup_time_ms_ > last_overuse_time_ms_;
+ if (check_for_backoff) {
+ if (now_ms - last_rampup_time_ms_ < kStandardRampUpDelayMs ||
+ num_overuse_detections_ > kMaxOverusesBeforeApplyRampupDelay) {
+ // Going up was not ok for very long, back off.
+ current_rampup_delay_ms_ *= kRampUpBackoffFactor;
+ if (current_rampup_delay_ms_ > kMaxRampUpDelayMs)
+ current_rampup_delay_ms_ = kMaxRampUpDelayMs;
+ } else {
+ // Not currently backing off, reset rampup delay.
+ current_rampup_delay_ms_ = kStandardRampUpDelayMs;
+ }
+ }
+
+ last_overuse_time_ms_ = now_ms;
+ in_quick_rampup_ = false;
+ checks_above_threshold_ = 0;
+ ++num_overuse_detections_;
+
+ if (observer_)
+ observer_->AdaptDown(kScaleReasonCpu);
+ } else if (IsUnderusing(*metrics_, now_ms)) {
+ last_rampup_time_ms_ = now_ms;
+ in_quick_rampup_ = true;
+
+ if (observer_)
+ observer_->AdaptUp(kScaleReasonCpu);
+ }
+
+ int rampup_delay =
+ in_quick_rampup_ ? kQuickRampUpDelayMs : current_rampup_delay_ms_;
+
+ LOG(LS_VERBOSE) << " Frame stats: "
+ << " encode usage " << metrics_->encode_usage_percent
+ << " overuse detections " << num_overuse_detections_
+ << " rampup delay " << rampup_delay;
+}
+
+bool OveruseFrameDetector::IsOverusing(const CpuOveruseMetrics& metrics) {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+
+ if (metrics.encode_usage_percent >=
+ options_.high_encode_usage_threshold_percent) {
+ ++checks_above_threshold_;
+ } else {
+ checks_above_threshold_ = 0;
+ }
+ return checks_above_threshold_ >= options_.high_threshold_consecutive_count;
+}
+
+bool OveruseFrameDetector::IsUnderusing(const CpuOveruseMetrics& metrics,
+ int64_t time_now) {
+ RTC_DCHECK_CALLED_SEQUENTIALLY(&task_checker_);
+ int delay = in_quick_rampup_ ? kQuickRampUpDelayMs : current_rampup_delay_ms_;
+ if (time_now < last_rampup_time_ms_ + delay)
+ return false;
+
+ return metrics.encode_usage_percent <
+ options_.low_encode_usage_threshold_percent;
+}
+} // namespace webrtc