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authorStanislaw Halik <sthalik@misaki.pl>2014-10-12 16:10:23 +0200
committerStanislaw Halik <sthalik@misaki.pl>2014-10-12 16:10:23 +0200
commit2de1c44a994fb72142ef020546efcd22ac8c6a83 (patch)
tree34551a02053a354a834e085b09ba274785159edd /ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp
parenta63156fc2cddccf03c2e2959df50a2bcc0585f2a (diff)
aruco cleanup, experimental contrast fix
Diffstat (limited to 'ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp')
-rw-r--r--ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp198
1 files changed, 125 insertions, 73 deletions
diff --git a/ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp b/ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp
index 31aa2372..0974f0f0 100644
--- a/ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp
+++ b/ftnoir_tracker_aruco/ftnoir_tracker_aruco.cpp
@@ -8,6 +8,7 @@
#include <vector>
#include <cstdio>
#include <cmath>
+#include <algorithm>
#include <QMutexLocker>
#include "./include/markerdetector.h"
#include "ftnoir_tracker_aruco.h"
@@ -135,7 +136,7 @@ void Tracker::StartTracker(QFrame* videoframe)
#define HT_PI 3.1415926535
-void Tracker::getRT(cv::Matx33f& r_, cv::Vec3f& t_)
+void Tracker::getRT(cv::Matx33d& r_, cv::Vec3d& t_)
{
QMutexLocker l(&mtx);
@@ -183,10 +184,6 @@ void Tracker::run()
cv::Rect last_roi(65535, 65535, 0, 0);
- cv::Mat color, color_, grayscale, rvec, tvec;
-
- const double stateful_coeff = 0.88;
-
if (!camera.isOpened())
{
fprintf(stderr, "aruco tracker: can't open camera\n");
@@ -201,19 +198,46 @@ void Tracker::run()
while (!stop)
{
- if (!camera.read(color_))
+ cv::Mat color;
+ if (!camera.read(color))
continue;
auto tm = cv::getTickCount();
- color_.copyTo(color);
- if (s.red_only)
+
+ const double c = s.desaturate * 16. / 100.;
+
+ if (std::abs(c) > 1e-3)
{
- cv::Mat channel[3];
- cv::split(color, channel);
- grayscale = channel[2];
- } else
- cv::cvtColor(color, grayscale, cv::COLOR_BGR2GRAY);
-
- gain.tick(camera, grayscale);
+ const int w=color.cols, h=color.rows;
+
+ cv::Mat hsv;
+ cv::cvtColor(color, hsv, cv::COLOR_BGR2HSV);
+ vector<cv::Mat> channels;
+ cv::split(hsv, channels);
+ cv::Mat sat = channels[1];
+ cv::Mat val = channels[2];
+
+ struct ops {
+ static double sig(double x)
+ {
+ double x_ = -6 + x * 2 * 6;
+ return 1./(1.+exp(-x_));
+ }
+ };
+
+ for (int i = 0; i < h; i++)
+ for (int j = 0; j < w; j++)
+ {
+ const double sat_ij = sat.at<unsigned char>(i, j)/255.;
+ val.at<unsigned char>(i, j) *= std::max(0., 1. - c*ops::sig(sat_ij));
+ }
+
+ channels[1] = sat;
+ channels[2] = val;
+ cv::merge(channels, hsv);
+ cv::cvtColor(hsv, color, cv::COLOR_HSV2BGR);
+ }
+ cv::Mat grayscale;
+ cv::cvtColor(color, grayscale, cv::COLOR_BGR2GRAY);
const int scale = frame.cols > 480 ? 2 : 1;
detector.setThresholdParams(scale > 1 ? 11 : 7, 4);
@@ -232,27 +256,33 @@ void Tracker::run()
const double size_min = 0.04;
const double size_max = 0.38;
-
- if (last_roi.width > 0 &&
- (detector.detect(grayscale(last_roi), markers, cv::Mat(), cv::Mat(), -1, false),
- markers.size() == 1 && markers[0].size() == 4))
+
+ bool roi_valid = false;
+
+ if (last_roi.width > 0 && last_roi.height)
{
detector.setMinMaxSize(std::max(0.01, size_min * grayscale.cols / last_roi.width),
std::min(1.0, size_max * grayscale.cols / last_roi.width));
- auto& m = markers.at(0);
- for (int i = 0; i < 4; i++)
+ if (detector.detect(grayscale(last_roi), markers, cv::Mat(), cv::Mat(), -1, false),
+ markers.size() == 1 && markers[0].size() == 4)
{
- auto& p = m.at(i);
- p.x += last_roi.x;
- p.y += last_roi.y;
+ auto& m = markers.at(0);
+ for (int i = 0; i < 4; i++)
+ {
+ auto& p = m.at(i);
+ p.x += last_roi.x;
+ p.y += last_roi.y;
+ }
+ roi_valid = true;
}
}
- else
+
+ if (!roi_valid)
{
detector.setMinMaxSize(size_min, size_max);
detector.detect(grayscale, markers, cv::Mat(), cv::Mat(), -1, false);
}
-
+
if (markers.size() == 1 && markers[0].size() == 4) {
const auto& m = markers.at(0);
for (int i = 0; i < 4; i++)
@@ -275,70 +305,89 @@ void Tracker::run()
frame = color.clone();
::sprintf(buf, "Hz: %d", last_fps);
- cv::putText(frame, buf, cv::Point(10, 32), cv::FONT_HERSHEY_PLAIN, scale, cv::Scalar(0, 255, 0), scale);
+ cv::putText(frame, buf, cv::Point(10, 32), cv::FONT_HERSHEY_PLAIN, scale, cv::Scalar(0, 255, 0), 1);
::sprintf(buf, "Jiffies: %ld", (long) (10000 * (time - tm) / freq));
- cv::putText(frame, buf, cv::Point(10, 54), cv::FONT_HERSHEY_PLAIN, scale, cv::Scalar(80, 255, 0), scale);
+ cv::putText(frame, buf, cv::Point(10, 54), cv::FONT_HERSHEY_PLAIN, scale, cv::Scalar(80, 255, 0), 1);
if (markers.size() == 1 && markers[0].size() == 4) {
const auto& m = markers.at(0);
const float size = 40;
cv::Mat obj_points(4,3,CV_32FC1);
- obj_points.at<float>(1,0)=-size + s.headpos_x;
- obj_points.at<float>(1,1)=-size + s.headpos_y;
- obj_points.at<float>(1,2)=-size + s.headpos_z;
- obj_points.at<float>(2,0)=size + s.headpos_x;
- obj_points.at<float>(2,1)=-size + s.headpos_y;
- obj_points.at<float>(2,2)=-size + s.headpos_z;
- obj_points.at<float>(3,0)=size + s.headpos_x;
- obj_points.at<float>(3,1)=size + s.headpos_y;
- obj_points.at<float>(3,2)=size + s.headpos_z;
- obj_points.at<float>(0,0)=-size + s.headpos_x;
- obj_points.at<float>(0,1)=size + s.headpos_y;
- obj_points.at<float>(0,2)=size + s.headpos_z;
-
- last_roi = cv::Rect(65535, 65535, 0, 0);
-
+ const int x1=1, x2=2, x3=3, x4=0;
+ obj_points.at<float>(x1,0)=-size + s.headpos_x;
+ obj_points.at<float>(x1,1)=-size + s.headpos_y;
+ obj_points.at<float>(x1,2)= 0 + s.headpos_z;
+
+ obj_points.at<float>(x2,0)=size + s.headpos_x;
+ obj_points.at<float>(x2,1)=-size + s.headpos_y;
+ obj_points.at<float>(x2,2)= 0 + s.headpos_z;
+
+ obj_points.at<float>(x3,0)=size + s.headpos_x;
+ obj_points.at<float>(x3,1)=size + s.headpos_y;
+ obj_points.at<float>(x3,2)= 0 + s.headpos_z;
+
+ obj_points.at<float>(x4,0)= -size + s.headpos_x;
+ obj_points.at<float>(x4,1)= size + s.headpos_y;
+ obj_points.at<float>(x4,2)= 0 + s.headpos_z;
+
+ cv::Vec3d rvec, tvec;
+
+ cv::solvePnP(obj_points, m, intrinsics, dist_coeffs, rvec, tvec, false, cv::ITERATIVE);
+
+ std::vector<cv::Point2f> roi_projection(4);
+ cv::Mat roi_points = obj_points * c_search_window;
+ cv::projectPoints(roi_points, rvec, tvec, intrinsics, dist_coeffs, roi_projection);
+
+ last_roi = cv::Rect(color.cols-1, color.rows-1, 0, 0);
+
for (int i = 0; i < 4; i++)
{
- auto foo = m.at(i);
- last_roi.x = std::min<int>(foo.x, last_roi.x);
- last_roi.y = std::min<int>(foo.y, last_roi.y);
- last_roi.width = std::max<int>(foo.x, last_roi.width);
- last_roi.height = std::max<int>(foo.y, last_roi.height);
- }
- {
- last_roi.width -= last_roi.x;
- last_roi.height -= last_roi.y;
- last_roi.x -= last_roi.width * stateful_coeff;
- last_roi.y -= last_roi.height * stateful_coeff;
- last_roi.width *= stateful_coeff * 3;
- last_roi.height *= stateful_coeff * 3;
- last_roi.x = std::max<int>(0, last_roi.x);
- last_roi.y = std::max<int>(0, last_roi.y);
- last_roi.width = std::min<int>(grayscale.cols - last_roi.x, last_roi.width);
- last_roi.height = std::min<int>(grayscale.rows - last_roi.y, last_roi.height);
+ 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;
}
-
- cv::solvePnP(obj_points, m, intrinsics, dist_coeffs, rvec, tvec, false, cv::ITERATIVE);
- cv::Mat rotation_matrix = cv::Mat::zeros(3, 3, CV_64FC1);
- cv::Mat junk1(3, 3, CV_64FC1), junk2(3, 3, CV_64FC1);
- cv::Rodrigues(rvec, rotation_matrix);
+
+ if (last_roi.x < 0)
+ last_roi.x = 0;
+ if (last_roi.y < 0)
+ last_roi.y = 0;
+
+ if (last_roi.width+1 > color.cols)
+ last_roi.width = color.cols-1;
+
+ if (last_roi.height+1 > color.rows)
+ last_roi.height = color.rows-1;
+
+ last_roi.width -= last_roi.x;
+ last_roi.height -= last_roi.y;
+
+ auto rmat = cv::Matx33d::zeros();
+ cv::Matx33d m_r(3, 3, CV_64FC1), m_q(3, 3, CV_64FC1);
+ cv::Rodrigues(rvec, rmat);
{
- cv::Vec3d euler = cv::RQDecomp3x3(rotation_matrix, junk1, junk2);
+ cv::Vec3d euler = cv::RQDecomp3x3(rmat, m_r, m_q);
QMutexLocker lck(&mtx);
for (int i = 0; i < 3; i++)
- pose[i] = tvec.at<double>(i);
-
+ pose[i] = tvec(i);
pose[Yaw] = euler[1];
pose[Pitch] = -euler[0];
pose[Roll] = euler[2];
- rotation_matrix.convertTo(r, CV_32FC1);
- tvec.convertTo(t, CV_32FC1);
+ r = rmat;
+ t = tvec;
}
std::vector<cv::Point2f> repr2;
@@ -350,6 +399,9 @@ void Tracker::run()
auto s = cv::Scalar(255, 0, 255);
cv::circle(frame, repr2.at(0), 4, s, -1);
}
+
+ if (roi_valid)
+ cv::rectangle(frame, last_roi, cv::Scalar(255, 0, 255), 1);
last_centroid = repr2[0];
}
@@ -438,7 +490,7 @@ TrackerControls::TrackerControls()
tie_setting(s.headpos_x, ui.cx);
tie_setting(s.headpos_y, ui.cy);
tie_setting(s.headpos_z, ui.cz);
- tie_setting(s.red_only, ui.red_only);
+ tie_setting(s.desaturate, ui.desaturate_slider);
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()));
@@ -467,8 +519,8 @@ void TrackerControls::update_tracker_calibration()
{
if (calib_timer.isActive() && tracker)
{
- cv::Matx33f r;
- cv::Vec3f t;
+ cv::Matx33d r;
+ cv::Vec3d t;
tracker->getRT(r, t);
calibrator.update(r, t);
auto pos = calibrator.get_estimate() * .1;