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latency-detector.h
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latency-detector.h
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// License: Apache 2.0. See LICENSE file in root directory.
// Copyright(c) 2017 Intel Corporation. All Rights Reserved.
#pragma once
#include <librealsense2/rs.hpp> // Include RealSense Cross Platform API
#include <librealsense2/h/rs_internal.h> // Access librealsense internal clock
#include <opencv2/opencv.hpp> // Include OpenCV API
#include "../cv-helpers.hpp" // Helper functions for conversions between RealSense and OpenCV
#include <rsutils/concurrency/concurrency.h> // We are borrowing from librealsense concurrency infrastructure for this sample
#include <algorithm>
// Helper class to keep track of measured data
// and generate basic statistics
template<class T>
class measurement
{
public:
measurement(int cap = 10) : _capacity(cap), _sum() {}
// Media over rolling window
T median() const
{
std::lock_guard<std::mutex> lock(_m);
if (_total == 0) return _sum;
std::vector<T> copy(begin(_data), end(_data));
std::sort(begin(copy), end(copy));
return copy[copy.size() / 2];
}
// Average over all samples
T avg() const
{
std::lock_guard<std::mutex> lock(_m);
if (_total > 0) return _sum / _total;
return _sum;
}
// Total count of measurements
int total() const
{
std::lock_guard<std::mutex> lock(_m);
return _total;
}
// Add new measurement
void add(T val)
{
std::lock_guard<std::mutex> lock(_m);
_data.push_back(val);
if (_data.size() > _capacity)
{
_data.pop_front();
}
_total++;
_sum += val;
}
private:
mutable std::mutex _m;
T _sum;
std::deque<T> _data;
int _capacity;
int _total = 0;
};
// Helper class to encode / decode numbers into
// binary sequences, with 2-bit checksum
class bit_packer
{
public:
bit_packer(int digits)
: _digits(digits), _bits(digits, false)
{
}
void reset()
{
std::fill(_bits.begin(), _bits.end(), false);
}
// Try to reconstruct the number from bits inside the class
bool try_unpack(int* number)
{
// Calculate and verify Checksum
auto on_bits = std::count_if(_bits.begin() + 2, _bits.end(),
[](bool f) { return f; });
if ((on_bits % 2 == 1) == _bits[0] &&
((on_bits / 2) % 2 == 1) == _bits[1])
{
int res = 0;
for (int i = 2; i < _digits; i++)
{
res = res * 2 + _bits[i];
}
*number = res;
return true;
}
else return false;
}
// Try to store the number as bits into the class
bool try_pack(int number)
{
if (number < 1 << (_digits - 2))
{
_bits.clear();
while (number)
{
_bits.push_back(number & 1);
number >>= 1;
}
// Pad with zeros
while (_bits.size() < _digits) _bits.push_back(false);
reverse(_bits.begin(), _bits.end());
// Apply 2-bit Checksum
auto on_bits = std::count_if(_bits.begin() + 2, _bits.end(),
[](bool f) { return f; });
_bits[0] = (on_bits % 2 == 1);
_bits[1] = ((on_bits / 2) % 2 == 1);
return true;
}
else return false;
}
// Access bits array
std::vector<bool>& get() { return _bits; }
private:
std::vector<bool> _bits;
int _digits;
};
// Main class in charge of detecting latency measurements
class detector
{
public:
detector(int digits, int display_w)
: _digits(digits), _packer(digits),
_display_w(display_w),
_t([this]() { detect(); }),
_preview_size(600, 350),
_next_value(0), _next(false), _alive(true)
{
using namespace cv;
_start_time = std::chrono::high_resolution_clock::now();
_render_start = std::chrono::high_resolution_clock::now();
_last_preview = Mat::zeros(_preview_size, CV_8UC1);
_instructions = Mat::zeros(Size(display_w, 120), CV_8UC1);
putText(_instructions, "Point the camera at the screen. Ensure all white circles are being captured",
Point(display_w / 2 - 470, 30), FONT_HERSHEY_SIMPLEX,
0.8, Scalar(255, 255, 255), 2, LINE_AA);
putText(_instructions, "Press any key to exit...",
Point(display_w / 2 - 160, 70), FONT_HERSHEY_SIMPLEX,
0.8, Scalar(255, 255, 255), 2, LINE_AA);
}
void begin_render()
{
_render_start = std::chrono::high_resolution_clock::now();
}
void end_render()
{
auto duration = std::chrono::high_resolution_clock::now() - _render_start;
_render_time.add(static_cast<int>(std::chrono::duration_cast<std::chrono::milliseconds>(duration).count()));
}
~detector()
{
_alive = false;
_t.join();
}
// Add new frame from the camera
void submit_frame(rs2::frame f)
{
record frame_for_processing;
frame_for_processing.f = f;
// Read how much time the frame spent from
// being released by the OS-dependent driver (Windows Media Foundation, V4L2 or libuvc)
// to this point in time (when it is first accessible to the application)
auto toa = f.get_frame_metadata(RS2_FRAME_METADATA_TIME_OF_ARRIVAL);
rs2_error* e;
_processing_time.add(static_cast<int>(rs2_get_time(&e) - toa));
auto duration = std::chrono::high_resolution_clock::now() - _start_time;
auto ms = std::chrono::duration_cast<std::chrono::milliseconds>(duration).count();
frame_for_processing.ms = ms; // Store current clock into the record
_queue.enqueue(std::move(frame_for_processing));
}
// Get next value to transmit
// This will either be the same as the last time
// Or a new value when needed
int get_next_value()
{
// Capture clock for next cycle
if (_next.exchange(false))
{
auto now = std::chrono::high_resolution_clock::now();
auto duration = now - _start_time;
auto ms = static_cast<int>(std::chrono::duration_cast<std::chrono::milliseconds>(duration).count());
auto next = ms % (1 << (_digits - 2));
if (next == _next_value) next++;
_next_value = next;
}
return _next_value;
}
// Copy preview image stored inside into a matrix
void copy_preview_to(cv::Mat& display)
{
std::lock_guard<std::mutex> lock(_preview_mutex);
cv::Rect roi(cv::Point(_display_w / 2 - _preview_size.width / 2, 200), _last_preview.size());
_last_preview.copyTo(display(roi));
cv::Rect text_roi(cv::Point(0, 580), _instructions.size());
_instructions.copyTo(display(text_roi));
}
private:
struct record
{
rs2::frame f;
long long ms;
};
void next()
{
record r;
while (_queue.try_dequeue(&r));
_next = true;
}
struct detector_lock
{
detector_lock(detector* owner)
: _owner(owner) {}
void abort() { _owner = nullptr; }
~detector_lock() { if(_owner) _owner->next(); }
detector* _owner;
};
// Render textual instructions
void update_instructions()
{
using namespace cv;
std::lock_guard<std::mutex> lock(_preview_mutex);
_instructions = Mat::zeros(Size(_display_w, 120), CV_8UC1);
std::stringstream ss;
ss << "Total Collected Samples: " << _latency.total();
putText(_instructions, ss.str().c_str(),
Point(80, 20), FONT_HERSHEY_SIMPLEX,
0.8, Scalar(255, 255, 255), 2, LINE_AA);
ss.str("");
ss << "Estimated Latency: (Rolling-Median)" << _latency.median() << "ms, ";
ss << "(Average)" << _latency.avg() << "ms";
putText(_instructions, ss.str().c_str(),
Point(80, 60), FONT_HERSHEY_SIMPLEX,
0.8, Scalar(255, 255, 255), 2, LINE_AA);
ss.str("");
ss << "Software Processing: " << _processing_time.median() << "ms";
putText(_instructions, ss.str().c_str(),
Point(80, 100), FONT_HERSHEY_SIMPLEX,
0.8, Scalar(255, 255, 255), 2, LINE_AA);
}
// Detector main loop
void detect()
{
using namespace cv;
while (_alive)
{
std::this_thread::sleep_for(std::chrono::milliseconds(1));
record r;
if (_queue.try_dequeue(&r))
{
// Make sure we request new number,
// UNLESS we decide to keep waiting
detector_lock flush_queue_after(this);
auto color_mat = frame_to_mat(r.f);
if (color_mat.channels() > 1)
cvtColor(color_mat, color_mat, COLOR_BGR2GRAY);
medianBlur(color_mat, color_mat, 5);
std::vector<Vec3f> circles;
cv::Rect roi(Point(0, 0), Size(color_mat.size().width, color_mat.size().height / 4));
HoughCircles(color_mat(roi), circles, HOUGH_GRADIENT, 1, 10, 100, 30, 1, 100);
for (size_t i = 0; i < circles.size(); i++)
{
Vec3i c = circles[i];
Rect r(c[0] - c[2] - 5, c[1] - c[2] - 5, 2 * c[2] + 10, 2 * c[2] + 10);
rectangle(color_mat, r, Scalar(0, 100, 100), -1, LINE_AA);
}
cv::resize(color_mat, color_mat, _preview_size);
{
std::lock_guard<std::mutex> lock(_preview_mutex);
_last_preview = color_mat;
}
sort(circles.begin(), circles.end(),
[](const Vec3f& a, const Vec3f& b) -> bool
{
return a[0] < b[0];
});
if (circles.size() > 1)
{
int min_x = static_cast<int>(circles[0][0]);
int max_x = static_cast<int>(circles[circles.size() - 1][0]);
int circle_est_size = (max_x - min_x) / (_digits + 1);
min_x += circle_est_size / 2;
max_x -= circle_est_size / 2;
_packer.reset();
for (int i = 1; i < circles.size() - 1; i++)
{
const int x = static_cast<int>(circles[i][0]);
const int idx = static_cast<int>(_digits * ((float)(x - min_x) / (max_x - min_x)));
if (idx >= 0 && idx < _packer.get().size())
_packer.get()[idx] = true;
}
int res;
if (_packer.try_unpack(&res))
{
if (res == _next_value)
{
auto cropped = static_cast<int>(r.ms) % (1 << (_digits - 2));
if (cropped > res)
{
auto avg_render_time = _render_time.avg();
_latency.add(static_cast<int>((cropped - res) - avg_render_time));
update_instructions();
}
}
else
{
// Only in case we detected valid number other then expected
// We continue processing (since this was most likely older valid frame)
flush_queue_after.abort();
}
}
}
}
}
}
const int _digits;
const int _display_w;
std::atomic_bool _alive;
bit_packer _packer;
std::thread _t;
single_consumer_queue<record> _queue;
std::chrono::high_resolution_clock::time_point _start_time;
std::chrono::high_resolution_clock::time_point _render_start;
std::atomic_bool _next;
std::atomic<int> _next_value;
const cv::Size _preview_size;
std::mutex _preview_mutex;
cv::Mat _last_preview;
cv::Mat _instructions;
measurement<int> _render_time;
measurement<int> _processing_time;
measurement<int> _latency;
};