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/* Copyright (c) 2013-2015 Stanislaw Halik <sthalik@misaki.pl>
*
* Permission to use, copy, modify, and/or distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*/
#include "cv/video-widget.hpp"
#include "ftnoir_tracker_aruco.h"
#include "cv/video-property-page.hpp"
#include "compat/camera-names.hpp"
#include "compat/sleep.hpp"
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/calib3d.hpp>
#ifdef DEBUG_UNSHARP_MASKING
# include <opencv2/highgui.hpp>
#endif
#include <QMutexLocker>
#include <QDebug>
#include <vector>
#include <cstdio>
#include <cmath>
#include <algorithm>
#include <iterator>
constexpr double aruco_tracker::timeout;
constexpr double aruco_tracker::timeout_backoff_c;
constexpr const int aruco_tracker::adaptive_sizes[];
constexpr const aruco_tracker::resolution_tuple aruco_tracker::resolution_choices[];
constexpr const double aruco_tracker::RC;
constexpr const float aruco_tracker::size_min;
constexpr const float aruco_tracker::size_max;
#ifdef DEBUG_UNSHARP_MASKING
constexpr double aruco_tracker::gauss_kernel_size;
#endif
aruco_tracker::aruco_tracker() :
pose{0,0,0, 0,0,0},
fps(0),
no_detection_timeout(0),
obj_points(4),
intrinsics(cv::Matx33d::eye()),
rmat(cv::Matx33d::eye()),
roi_points(4),
last_roi(65535, 65535, 0, 0),
adaptive_size_pos(0),
use_otsu(false)
{
cv::setBreakOnError(true);
// param 2 ignored for Otsu thresholding. it's required to use our fork of Aruco.
set_detector_params();
}
aruco_tracker::~aruco_tracker()
{
requestInterruption();
wait();
// fast start/stop causes breakage
portable::sleep(1000);
camera.release();
}
void aruco_tracker::start_tracker(QFrame* videoframe)
{
videoframe->show();
videoWidget = qptr<cv_video_widget>(videoframe);
layout = qptr<QHBoxLayout>();
layout->setContentsMargins(0, 0, 0, 0);
layout->addWidget(videoWidget.data());
videoframe->setLayout(layout.data());
videoWidget->show();
start();
}
void aruco_tracker::getRT(cv::Matx33d& r_, cv::Vec3d& t_)
{
QMutexLocker l(&mtx);
r_ = r;
t_ = t;
}
bool aruco_tracker::detect_with_roi()
{
if (last_roi.width > 1 && last_roi.height > 1)
{
detector.setMinMaxSize(clamp(size_min * grayscale.cols / last_roi.width, .01f, 1.f),
clamp(size_max * grayscale.cols / last_roi.width, .01f, 1.f));
detector.detect(grayscale(last_roi), markers, cv::Mat(), cv::Mat(), -1, false);
if (markers.size() == 1 && markers[0].size() == 4)
{
auto& m = markers[0];
for (unsigned i = 0; i < 4; i++)
{
auto& p = m[i];
p.x += last_roi.x;
p.y += last_roi.y;
}
return true;
}
}
last_roi = cv::Rect(65535, 65535, 0, 0);
return false;
}
bool aruco_tracker::detect_without_roi()
{
detector.setMinMaxSize(size_min, size_max);
detector.detect(grayscale, markers, cv::Mat(), cv::Mat(), -1, false);
return markers.size() == 1 && markers[0].size() == 4;
}
bool aruco_tracker::open_camera()
{
int rint = s.resolution;
if (rint < 0 || rint >= (int)(sizeof(resolution_choices) / sizeof(resolution_tuple)))
rint = 0;
resolution_tuple res = resolution_choices[rint];
int fps;
switch (static_cast<int>(s.force_fps))
{
default:
case 0:
fps = 0;
break;
case 1:
fps = 30;
break;
case 2:
fps = 60;
break;
case 3:
fps = 75;
break;
case 4:
fps = 125;
break;
case 5:
fps = 200;
break;
}
QMutexLocker l(&camera_mtx);
camera = cv::VideoCapture(camera_name_to_index(s.camera_name));
if (res.width)
{
camera.set(cv::CAP_PROP_FRAME_WIDTH, res.width);
camera.set(cv::CAP_PROP_FRAME_HEIGHT, res.height);
}
if (fps)
camera.set(cv::CAP_PROP_FPS, fps);
if (!camera.isOpened())
{
qDebug() << "aruco tracker: can't open camera";
return false;
}
return true;
}
void aruco_tracker::set_intrinsics()
{
const int w = grayscale.cols, h = grayscale.rows;
const double diag_fov = static_cast<int>(s.fov) * M_PI / 180.;
const double fov_w = 2.*atan(tan(diag_fov/2.)/sqrt(1. + h/(double)w * h/(double)w));
const double fov_h = 2.*atan(tan(diag_fov/2.)/sqrt(1. + w/(double)h * w/(double)h));
const double focal_length_w = .5 * w / tan(.5 * fov_w);
const double focal_length_h = .5 * h / tan(.5 * fov_h);
intrinsics(0, 0) = focal_length_w;
intrinsics(0, 2) = grayscale.cols/2;
intrinsics(1, 1) = focal_length_h;
intrinsics(1, 2) = grayscale.rows/2;
}
void aruco_tracker::update_fps()
{
const double dt = fps_timer.elapsed_seconds();
fps_timer.start();
const double alpha = dt/(dt + RC);
if (dt > 1e-3)
{
fps *= 1 - alpha;
fps += alpha * (1./dt + .8);
}
}
void aruco_tracker::draw_ar(bool ok)
{
if (ok)
{
const auto& m = markers[0];
for (unsigned i = 0; i < 4; i++)
cv::line(frame, m[i], m[(i+1)%4], cv::Scalar(0, 0, 255), 2, 8);
}
char buf[9];
::snprintf(buf, sizeof(buf)-1, "Hz: %d", clamp(int(fps), 0, 9999));
buf[sizeof(buf)-1] = '\0';
cv::putText(frame, buf, cv::Point(10, 32), cv::FONT_HERSHEY_PLAIN, 2, cv::Scalar(0, 255, 0), 1);
}
void aruco_tracker::clamp_last_roi()
{
last_roi &= cv::Rect(0, 0, color.cols, color.rows);
}
cv::Point3f aruco_tracker::rotate_model(float x, float y, settings::rot mode)
{
cv::Point3f pt(x, y, 0);
if (mode)
{
using std::cos;
using std::sin;
const float theta = int(mode) * 90/4. * M_PI/180;
pt.x = x * cos(theta) - y * sin(theta);
pt.y = y * cos(theta) + x * sin(theta);
}
return pt;
}
void aruco_tracker::set_points()
{
using f = float;
const f hx = f(s.headpos_x), hy = f(s.headpos_y), hz = f(s.headpos_z);
static constexpr float size = 40;
const int x1=1, x2=2, x3=3, x4=0;
settings::rot mode = s.model_rotation;
obj_points[x1] = rotate_model(-size, -size, mode);
obj_points[x2] = rotate_model(size, -size, mode);
obj_points[x3] = rotate_model(size, size, mode);
obj_points[x4] = rotate_model(-size, size, mode);
for (unsigned i = 0; i < 4; i++)
obj_points[i] += cv::Point3f(hx, hy, hz);
}
void aruco_tracker::draw_centroid()
{
repr2.clear();
static const std::vector<cv::Point3f> centroid { cv::Point3f(0, 0, 0) };
cv::projectPoints(centroid, rvec, tvec, intrinsics, cv::noArray(), repr2);
cv::circle(frame, repr2[0], 4, cv::Scalar(255, 0, 255), -1);
}
void aruco_tracker::set_last_roi()
{
roi_projection.clear();
using f = float;
cv::Point3f h(f(s.headpos_x), f(s.headpos_y), f(s.headpos_z));
for (unsigned i = 0; i < 4; i++)
{
cv::Point3f pt(obj_points[i] - h);
roi_points[i] = pt * c_search_window;
}
cv::projectPoints(roi_points, rvec, tvec, intrinsics, cv::noArray(), roi_projection);
set_roi_from_projection();
}
void aruco_tracker::set_rmat()
{
cv::Rodrigues(rvec, rmat);
euler = cv::RQDecomp3x3(rmat, m_r, m_q);
QMutexLocker lck(&mtx);
for (int i = 0; i < 3; i++)
pose[i] = tvec(i) * .1;
pose[Yaw] = euler[1];
pose[Pitch] = -euler[0];
pose[Roll] = euler[2];
r = rmat;
t = cv::Vec3d(tvec[0], -tvec[1], tvec[2]);
}
void aruco_tracker::set_roi_from_projection()
{
last_roi = cv::Rect(color.cols-1, color.rows-1, 0, 0);
for (unsigned i = 0; i < 4; i++)
{
const auto& proj = roi_projection[i];
int min_x = std::min(int(proj.x), last_roi.x),
min_y = std::min(int(proj.y), last_roi.y);
int max_x = std::max(int(proj.x), last_roi.width),
max_y = std::max(int(proj.y), last_roi.height);
last_roi.x = min_x;
last_roi.y = min_y;
last_roi.width = max_x;
last_roi.height = max_y;
}
clamp_last_roi();
}
void aruco_tracker::set_detector_params()
{
detector.setDesiredSpeed(3);
detector.setThresholdParams(adaptive_sizes[adaptive_size_pos], adaptive_thres);
#if !defined USE_EXPERIMENTAL_CANNY
if (use_otsu)
detector._thresMethod = aruco::MarkerDetector::FIXED_THRES;
else
detector._thresMethod = aruco::MarkerDetector::ADPT_THRES;
#else
detector._thresMethod = aruco::MarkerDetector::CANNY;
#endif
}
void aruco_tracker::cycle_detection_params()
{
#if !defined USE_EXPERIMENTAL_CANNY
if (!use_otsu)
use_otsu = true;
else
#endif
{
use_otsu = false;
adaptive_size_pos++;
adaptive_size_pos %= sizeof(adaptive_sizes)/sizeof(*adaptive_sizes);
}
set_detector_params();
qDebug() << "aruco: switched thresholding params"
#if !defined USE_EXPERIMENTAL_CANNY
<< "otsu:" << use_otsu
#endif
<< "size:" << adaptive_sizes[adaptive_size_pos];
}
void aruco_tracker::run()
{
cv::setNumThreads(0);
using std::fabs;
using std::atan;
using std::tan;
using std::sqrt;
if (!open_camera())
return;
fps_timer.start();
last_detection_timer.start();
while (!isInterruptionRequested())
{
{
QMutexLocker l(&camera_mtx);
if (!camera.read(color))
continue;
}
cv::cvtColor(color, grayscale, cv::COLOR_BGR2GRAY);
#ifdef DEBUG_UNSHARP_MASKING
{
static constexpr double strength = double(DEBUG_UNSHARP_MASKING);
cv::GaussianBlur(grayscale, blurred, cv::Size(0, 0), gauss_kernel_size);
cv::addWeighted(grayscale, 1 + strength, blurred, -strength, 0, grayscale);
cv::imshow("capture", grayscale);
cv::waitKey(1);
}
#endif
color.copyTo(frame);
set_intrinsics();
update_fps();
markers.clear();
const bool ok = detect_with_roi() || detect_without_roi();
if (ok)
{
set_points();
if (!cv::solvePnP(obj_points, markers[0], intrinsics, cv::noArray(), rvec, tvec, false, cv::SOLVEPNP_ITERATIVE))
goto fail;
{
const double dt = last_detection_timer.elapsed_seconds();
last_detection_timer.start();
no_detection_timeout -= dt * timeout_backoff_c;
no_detection_timeout = std::fmax(0., no_detection_timeout);
}
set_last_roi();
draw_centroid();
set_rmat();
}
else
{
fail:
// no marker found, reset search region
last_roi = cv::Rect(65535, 65535, 0, 0);
const double dt = last_detection_timer.elapsed_seconds();
last_detection_timer.start();
no_detection_timeout += dt;
if (no_detection_timeout > timeout)
{
no_detection_timeout = 0;
cycle_detection_params();
}
}
draw_ar(ok);
if (frame.rows > 0)
videoWidget->update_image(frame);
}
}
void aruco_tracker::data(double *data)
{
QMutexLocker lck(&mtx);
data[Yaw] = pose[Yaw];
data[Pitch] = pose[Pitch];
data[Roll] = pose[Roll];
data[TX] = pose[TX];
data[TY] = pose[TY];
data[TZ] = pose[TZ];
}
aruco_dialog::aruco_dialog() :
calibrator(1, 0, 2)
{
tracker = nullptr;
calib_timer.setInterval(100);
ui.setupUi(this);
setAttribute(Qt::WA_NativeWindow, true);
ui.cameraName->addItems(get_camera_names());
tie_setting(s.camera_name, ui.cameraName);
tie_setting(s.resolution, ui.resolution);
tie_setting(s.force_fps, ui.cameraFPS);
tie_setting(s.fov, ui.cameraFOV);
tie_setting(s.headpos_x, ui.cx);
tie_setting(s.headpos_y, ui.cy);
tie_setting(s.headpos_z, ui.cz);
ui.model_rotation->addItem("0", int(settings::rot_zero));
ui.model_rotation->addItem("+22.5", int(settings::rot_plus));
ui.model_rotation->addItem("-22.5", int(settings::rot_neg));
tie_setting(s.model_rotation, ui.model_rotation);
connect(ui.buttonBox, SIGNAL(accepted()), this, SLOT(doOK()));
connect(ui.buttonBox, SIGNAL(rejected()), this, SLOT(doCancel()));
connect(ui.btn_calibrate, SIGNAL(clicked()), this, SLOT(toggleCalibrate()));
connect(this, SIGNAL(destroyed()), this, SLOT(cleanupCalib()));
connect(&calib_timer, SIGNAL(timeout()), this, SLOT(update_tracker_calibration()));
connect(ui.camera_settings, SIGNAL(clicked()), this, SLOT(camera_settings()));
connect(&s.camera_name, SIGNAL(valueChanged(const QString&)), this, SLOT(update_camera_settings_state(const QString&)));
update_camera_settings_state(s.camera_name);
}
void aruco_dialog::toggleCalibrate()
{
if (!calib_timer.isActive())
{
s.headpos_x = 0;
s.headpos_y = 0;
s.headpos_z = 0;
calibrator.reset();
calib_timer.start();
}
else
{
cleanupCalib();
cv::Vec3d pos;
std::tie(pos, std::ignore) = calibrator.get_estimate();
s.headpos_x = -pos(0);
s.headpos_y = -pos(1);
s.headpos_z = -pos(2);
}
}
void aruco_dialog::cleanupCalib()
{
if (calib_timer.isActive())
calib_timer.stop();
}
void aruco_dialog::update_tracker_calibration()
{
if (calib_timer.isActive() && tracker)
{
cv::Matx33d r;
cv::Vec3d t;
tracker->getRT(r, t);
calibrator.update(r, t);
}
}
void aruco_dialog::doOK()
{
s.b->save();
close();
}
void aruco_dialog::doCancel()
{
close();
}
void aruco_dialog::camera_settings()
{
if (tracker)
{
QMutexLocker l(&tracker->camera_mtx);
video_property_page::show_from_capture(tracker->camera, camera_name_to_index(s.camera_name));
}
else
video_property_page::show(camera_name_to_index(s.camera_name));
}
void aruco_dialog::update_camera_settings_state(const QString& name)
{
ui.camera_settings->setEnabled(video_property_page::should_show_dialog(name));
}
OPENTRACK_DECLARE_TRACKER(aruco_tracker, aruco_dialog, aruco_metadata)
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