Visual Servoing Platform  version 3.5.1 under development (2022-07-05)
tutorial-mb-generic-tracker-apriltag-webcam.cpp
#include <fstream>
#include <ios>
#include <iostream>
#include <visp3/core/vpXmlParserCamera.h>
#include <visp3/detection/vpDetectorAprilTag.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/mbt/vpMbGenericTracker.h>
#include <visp3/sensor/vpV4l2Grabber.h>
typedef enum { state_detection, state_tracking, state_quit } state_t;
// Creates a cube.cao file in your current directory
// cubeEdgeSize : size of cube edges in meters
void createCaoFile(double cubeEdgeSize)
{
std::ofstream fileStream;
fileStream.open("cube.cao", std::ofstream::out | std::ofstream::trunc);
fileStream << "V1\n";
fileStream << "# 3D Points\n";
fileStream << "8 # Number of points\n";
fileStream << cubeEdgeSize / 2 << " " << cubeEdgeSize / 2 << " " << 0 << " # Point 0: (X, Y, Z)\n";
fileStream << cubeEdgeSize / 2 << " " << -cubeEdgeSize / 2 << " " << 0 << " # Point 1\n";
fileStream << -cubeEdgeSize / 2 << " " << -cubeEdgeSize / 2 << " " << 0 << " # Point 2\n";
fileStream << -cubeEdgeSize / 2 << " " << cubeEdgeSize / 2 << " " << 0 << " # Point 3\n";
fileStream << -cubeEdgeSize / 2 << " " << cubeEdgeSize / 2 << " " << -cubeEdgeSize << " # Point 4\n";
fileStream << -cubeEdgeSize / 2 << " " << -cubeEdgeSize / 2 << " " << -cubeEdgeSize << " # Point 5\n";
fileStream << cubeEdgeSize / 2 << " " << -cubeEdgeSize / 2 << " " << -cubeEdgeSize << " # Point 6\n";
fileStream << cubeEdgeSize / 2 << " " << cubeEdgeSize / 2 << " " << -cubeEdgeSize << " # Point 7\n";
fileStream << "# 3D Lines\n";
fileStream << "0 # Number of lines\n";
fileStream << "# Faces from 3D lines\n";
fileStream << "0 # Number of faces\n";
fileStream << "# Faces from 3D points\n";
fileStream << "6 # Number of faces\n";
fileStream << "4 0 3 2 1 # Face 0: [number of points] [index of the 3D points]...\n";
fileStream << "4 1 2 5 6\n";
fileStream << "4 4 7 6 5\n";
fileStream << "4 0 7 4 3\n";
fileStream << "4 5 2 3 4\n";
fileStream << "4 0 1 6 7 # Face 5\n";
fileStream << "# 3D cylinders\n";
fileStream << "0 # Number of cylinders\n";
fileStream << "# 3D circles\n";
fileStream << "0 # Number of circles\n";
fileStream.close();
}
#if defined(VISP_HAVE_APRILTAG)
state_t detectAprilTag(const vpImage<unsigned char> &I, vpDetectorAprilTag &detector, double tagSize,
{
std::vector<vpHomogeneousMatrix> cMo_vec;
// Detection
bool ret = detector.detect(I, tagSize, cam, cMo_vec);
// Display camera pose
for (size_t i = 0; i < cMo_vec.size(); i++) {
vpDisplay::displayFrame(I, cMo_vec[i], cam, tagSize / 2, vpColor::none, 3);
}
vpDisplay::displayText(I, 40, 20, "State: waiting tag detection", vpColor::red);
if (ret && detector.getNbObjects() > 0) { // if tag detected, we pick the first one
cMo = cMo_vec[0];
return state_tracking;
}
return state_detection;
}
#endif // #if defined(VISP_HAVE_APRILTAG)
state_t track(const vpImage<unsigned char> &I, vpMbGenericTracker &tracker, double projection_error_threshold,
{
tracker.getCameraParameters(cam);
// Track the object
try {
tracker.track(I);
} catch (...) {
return state_detection;
}
tracker.getPose(cMo);
// Detect tracking error
double projection_error = tracker.computeCurrentProjectionError(I, cMo, cam);
if (projection_error > projection_error_threshold) {
return state_detection;
}
// Display
tracker.display(I, cMo, cam, vpColor::red, 2);
vpDisplay::displayFrame(I, cMo, cam, 0.025, vpColor::none, 3);
vpDisplay::displayText(I, 40, 20, "State: tracking in progress", vpColor::red);
{
std::stringstream ss;
ss << "Features: edges " << tracker.getNbFeaturesEdge() << ", klt " << tracker.getNbFeaturesKlt();
vpDisplay::displayText(I, 60, 20, ss.str(), vpColor::red);
}
return state_tracking;
}
int main(int argc, const char **argv)
{
#if defined(VISP_HAVE_APRILTAG) && (defined(VISP_HAVE_V4L2) || defined(VISP_HAVE_OPENCV)) && \
defined(VISP_HAVE_MODULE_MBT)
int opt_device = 0;
double opt_tag_size = 0.08;
float opt_quad_decimate = 1.0;
int opt_nthreads = 1;
std::string opt_intrinsic_file = "";
std::string opt_camera_name = "";
double opt_cube_size = 0.125; // 12.5cm by default
#ifdef VISP_HAVE_OPENCV
bool opt_use_texture = false;
#endif
double opt_projection_error_threshold = 40.;
#if !(defined(VISP_HAVE_X11) || defined(VISP_HAVE_GDI) || defined(VISP_HAVE_OPENCV))
bool display_off = true;
#else
bool display_off = false;
#endif
for (int i = 1; i < argc; i++) {
if (std::string(argv[i]) == "--tag_size" && i + 1 < argc) {
opt_tag_size = atof(argv[i + 1]);
} else if (std::string(argv[i]) == "--input" && i + 1 < argc) {
opt_device = atoi(argv[i + 1]);
} else if (std::string(argv[i]) == "--quad_decimate" && i + 1 < argc) {
opt_quad_decimate = (float)atof(argv[i + 1]);
} else if (std::string(argv[i]) == "--nthreads" && i + 1 < argc) {
opt_nthreads = atoi(argv[i + 1]);
} else if (std::string(argv[i]) == "--intrinsic" && i + 1 < argc) {
opt_intrinsic_file = std::string(argv[i + 1]);
} else if (std::string(argv[i]) == "--camera_name" && i + 1 < argc) {
opt_camera_name = std::string(argv[i + 1]);
} else if (std::string(argv[i]) == "--display_off") {
display_off = true;
} else if (std::string(argv[i]) == "--tag_family" && i + 1 < argc) {
opt_tag_family = (vpDetectorAprilTag::vpAprilTagFamily)atoi(argv[i + 1]);
} else if (std::string(argv[i]) == "--cube_size" && i + 1 < argc) {
opt_cube_size = atof(argv[i + 1]);
#ifdef VISP_HAVE_OPENCV
} else if (std::string(argv[i]) == "--texture") {
opt_use_texture = true;
#endif
} else if (std::string(argv[i]) == "--projection_error" && i + 1 < argc) {
opt_projection_error_threshold = atof(argv[i + 1]);
} else if (std::string(argv[i]) == "--help" || std::string(argv[i]) == "-h") {
std::cout << "Usage: " << argv[0]
<< " [--input <camera id>] [--cube_size <size in m>] [--tag_size <size in m>]"
" [--quad_decimate <decimation>] [--nthreads <nb>]"
" [--intrinsic <xml intrinsic file>] [--camera_name <camera name in xml file>]"
" [--tag_family <0: TAG_36h11, 1: TAG_36h10, 2: TAG_36ARTOOLKIT, "
" 3: TAG_25h9, 4: TAG_25h7, 5: TAG_16h5>]";
#if (defined(VISP_HAVE_X11) || defined(VISP_HAVE_GDI) || defined(VISP_HAVE_OPENCV))
std::cout << " [--display_off]";
#endif
std::cout << " [--texture] [--projection_error <30 - 100>] [--help]" << std::endl;
return EXIT_SUCCESS;
}
}
createCaoFile(opt_cube_size);
bool camIsInit = false;
if (!opt_intrinsic_file.empty() && !opt_camera_name.empty()) {
parser.parse(cam, opt_intrinsic_file, opt_camera_name, vpCameraParameters::perspectiveProjWithoutDistortion);
camIsInit = true;
}
try {
#if defined(VISP_HAVE_V4L2)
std::ostringstream device;
device << "/dev/video" << opt_device;
std::cout << "Use device " << device.str() << " (v4l2 grabber)" << std::endl;
g.setDevice(device.str());
g.setScale(1);
g.acquire(I);
#elif defined(VISP_HAVE_OPENCV)
std::cout << "Use device " << opt_device << " (OpenCV grabber)" << std::endl;
cv::VideoCapture cap(opt_device); // open the default camera
if (!cap.isOpened()) { // check if we succeeded
std::cout << "Failed to open the camera" << std::endl;
return EXIT_FAILURE;
}
cv::Mat frame;
cap >> frame; // get a new frame from camera
#endif
if (!camIsInit) {
cam.initPersProjWithoutDistortion(600, 600, I.getWidth() / 2., I.getHeight() / 2.);
}
std::cout << "Cube size: " << opt_cube_size << std::endl;
std::cout << "AprilTag size: " << opt_tag_size << std::endl;
std::cout << "AprilTag family: " << opt_tag_family << std::endl;
std::cout << "Camera parameters:\n" << cam << std::endl;
std::cout << "Detection: " << std::endl;
std::cout << " Quad decimate: " << opt_quad_decimate << std::endl;
std::cout << " Threads number: " << opt_nthreads << std::endl;
std::cout << "Tracker: " << std::endl;
std::cout << " Use edges : 1" << std::endl;
std::cout << " Use texture: "
#ifdef VISP_HAVE_OPENCV
<< opt_use_texture << std::endl;
#else
<< " na" << std::endl;
#endif
std::cout << " Projection error: " << opt_projection_error_threshold << std::endl;
// Construct display
vpDisplay *d = NULL;
if (!display_off) {
#ifdef VISP_HAVE_X11
d = new vpDisplayX(I);
#elif defined(VISP_HAVE_GDI)
d = new vpDisplayGDI(I);
#elif defined(VISP_HAVE_OPENCV)
d = new vpDisplayOpenCV(I);
#endif
}
// Initialize AprilTag detector
vpDetectorAprilTag detector(opt_tag_family);
detector.setAprilTagQuadDecimate(opt_quad_decimate);
detector.setAprilTagNbThreads(opt_nthreads);
// Prepare MBT
#ifdef VISP_HAVE_OPENCV
if (opt_use_texture)
else
#endif
// edges
vpMe me;
me.setMaskSize(5);
me.setMaskNumber(180);
me.setRange(12);
me.setThreshold(10000);
me.setMu1(0.5);
me.setMu2(0.5);
tracker.setMovingEdge(me);
#ifdef VISP_HAVE_OPENCV
if (opt_use_texture) {
vpKltOpencv klt_settings;
klt_settings.setMaxFeatures(300);
klt_settings.setWindowSize(5);
klt_settings.setQuality(0.015);
klt_settings.setMinDistance(8);
klt_settings.setHarrisFreeParameter(0.01);
klt_settings.setBlockSize(3);
klt_settings.setPyramidLevels(3);
tracker.setKltOpencv(klt_settings);
tracker.setKltMaskBorder(5);
}
#endif
// camera calibration params
tracker.setCameraParameters(cam);
// model definition
tracker.loadModel("cube.cao");
tracker.setDisplayFeatures(true);
state_t state = state_detection;
// wait for a tag detection
while (state != state_quit) {
#if defined(VISP_HAVE_V4L2)
g.acquire(I);
#elif defined(VISP_HAVE_OPENCV)
cap >> frame;
#endif
if (state == state_detection) {
state = detectAprilTag(I, detector, opt_tag_size, cam, cMo);
// Initialize the tracker with the result of the detection
if (state == state_tracking) {
tracker.initFromPose(I, cMo);
}
}
if (state == state_tracking) {
state = track(I, tracker, opt_projection_error_threshold, cMo);
}
vpDisplay::displayText(I, 20, 20, "Click to quit...", vpColor::red);
if (vpDisplay::getClick(I, false)) { // exit
state = state_quit;
}
}
if (!display_off)
delete d;
} catch (const vpException &e) {
std::cerr << "Catch an exception: " << e.getMessage() << std::endl;
}
return EXIT_SUCCESS;
#else
(void)argc;
(void)argv;
#ifndef VISP_HAVE_APRILTAG
std::cout << "ViSP is not build with Apriltag support" << std::endl;
#endif
#if !(defined(VISP_HAVE_V4L2) || defined(VISP_HAVE_OPENCV))
std::cout << "ViSP is not build with v4l2 or OpenCV support" << std::endl;
#endif
std::cout << "Install missing 3rd parties, configure and build ViSP to run this tutorial" << std::endl;
#endif
return EXIT_SUCCESS;
}
Generic class defining intrinsic camera parameters.
void initPersProjWithoutDistortion(double px, double py, double u0, double v0)
static const vpColor red
Definition: vpColor.h:217
static const vpColor none
Definition: vpColor.h:229
void setAprilTagQuadDecimate(float quadDecimate)
@ TAG_36h11
AprilTag 36h11 pattern (recommended)
void setAprilTagNbThreads(int nThreads)
bool detect(const vpImage< unsigned char > &I)
size_t getNbObjects() const
Display for windows using GDI (available on any windows 32 platform).
Definition: vpDisplayGDI.h:129
The vpDisplayOpenCV allows to display image using the OpenCV library. Thus to enable this class OpenC...
Use the X11 console to display images on unix-like OS. Thus to enable this class X11 should be instal...
Definition: vpDisplayX.h:135
Class that defines generic functionnalities for display.
Definition: vpDisplay.h:178
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void display(const vpImage< unsigned char > &I)
static void flush(const vpImage< unsigned char > &I)
static void displayFrame(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam, double size, const vpColor &color=vpColor::none, unsigned int thickness=1, const vpImagePoint &offset=vpImagePoint(0, 0))
static void displayText(const vpImage< unsigned char > &I, const vpImagePoint &ip, const std::string &s, const vpColor &color)
error that can be emited by ViSP classes.
Definition: vpException.h:72
const char * getMessage() const
Definition: vpException.cpp:87
Implementation of an homogeneous matrix and operations on such kind of matrices.
static void convert(const vpImage< unsigned char > &src, vpImage< vpRGBa > &dest)
unsigned int getWidth() const
Definition: vpImage.h:246
unsigned int getHeight() const
Definition: vpImage.h:188
Wrapper for the KLT (Kanade-Lucas-Tomasi) feature tracker implemented in OpenCV. Thus to enable this ...
Definition: vpKltOpencv.h:79
void setBlockSize(int blockSize)
void setQuality(double qualityLevel)
void setHarrisFreeParameter(double harris_k)
void setMaxFeatures(int maxCount)
void setMinDistance(double minDistance)
void setWindowSize(int winSize)
void setPyramidLevels(int pyrMaxLevel)
static double rad(double deg)
Definition: vpMath.h:117
Real-time 6D object pose tracking using its CAD model.
virtual void setCameraParameters(const vpCameraParameters &camera)
virtual void getPose(vpHomogeneousMatrix &cMo) const
virtual void setDisplayFeatures(bool displayF)
virtual void setKltMaskBorder(const unsigned int &e)
virtual unsigned int getNbFeaturesEdge() const
virtual void setAngleAppear(const double &a)
virtual void initFromPose(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &cMo)
virtual unsigned int getNbFeaturesKlt() const
virtual void getCameraParameters(vpCameraParameters &camera) const
virtual void setAngleDisappear(const double &a)
virtual void setMovingEdge(const vpMe &me)
virtual void setKltOpencv(const vpKltOpencv &t)
virtual void setTrackerType(int type)
virtual double computeCurrentProjectionError(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &_cMo, const vpCameraParameters &_cam)
virtual void loadModel(const std::string &modelFile, bool verbose=false, const vpHomogeneousMatrix &T=vpHomogeneousMatrix())
virtual void display(const vpImage< unsigned char > &I, const vpHomogeneousMatrix &cMo, const vpCameraParameters &cam, const vpColor &col, unsigned int thickness=1, bool displayFullModel=false)
virtual void track(const vpImage< unsigned char > &I)
Definition: vpMe.h:61
void setMu1(const double &mu_1)
Definition: vpMe.h:241
void setSampleStep(const double &s)
Definition: vpMe.h:278
void setRange(const unsigned int &r)
Definition: vpMe.h:271
void setMaskSize(const unsigned int &a)
Definition: vpMe.cpp:459
void setMu2(const double &mu_2)
Definition: vpMe.h:248
void setMaskNumber(const unsigned int &a)
Definition: vpMe.cpp:452
void setThreshold(const double &t)
Definition: vpMe.h:300
Class that is a wrapper over the Video4Linux2 (V4L2) driver.
void setScale(unsigned scale=vpV4l2Grabber::DEFAULT_SCALE)
void setDevice(const std::string &devname)
void acquire(vpImage< unsigned char > &I)
XML parser to load and save intrinsic camera parameters.
int parse(vpCameraParameters &cam, const std::string &filename, const std::string &camera_name, const vpCameraParameters::vpCameraParametersProjType &projModel, unsigned int image_width=0, unsigned int image_height=0)