Visual Servoing Platform  version 3.6.1 under development (2024-04-25)
tutorial-mb-tracker.cpp
1 #include <visp3/core/vpIoTools.h>
3 #include <visp3/gui/vpDisplayGDI.h>
4 #include <visp3/gui/vpDisplayOpenCV.h>
5 #include <visp3/gui/vpDisplayX.h>
6 #include <visp3/io/vpImageIo.h>
8 #include <visp3/mbt/vpMbEdgeKltTracker.h>
9 #include <visp3/mbt/vpMbEdgeTracker.h>
11 #include <visp3/io/vpVideoReader.h>
12 
13 int main(int argc, char **argv)
14 {
15 #if defined(VISP_HAVE_OPENCV)
16 
17  try {
18  std::string opt_videoname = "teabox.mp4";
19  std::string opt_modelname = "teabox";
20  int opt_tracker = 0;
21 
22  for (int i = 0; i < argc; i++) {
23  if (std::string(argv[i]) == "--video")
24  opt_videoname = std::string(argv[i + 1]);
25  else if (std::string(argv[i]) == "--model")
26  opt_modelname = std::string(argv[i + 1]);
27  else if (std::string(argv[i]) == "--tracker")
28  opt_tracker = atoi(argv[i + 1]);
29  else if (std::string(argv[i]) == "--help" || std::string(argv[i]) == "-h") {
30  std::cout << "\nUsage: " << argv[0]
31  << " [--video <video name>] [--model <model name>] "
32  "[--tracker <0=egde|1=keypoint|2=hybrid>] [--help] [-h]\n"
33  << std::endl;
34  return EXIT_SUCCESS;
35  }
36  }
37  std::string parentname = vpIoTools::getParent(opt_modelname);
38  std::string objectname = vpIoTools::getNameWE(opt_modelname);
39 
40  if (!parentname.empty())
41  objectname = parentname + "/" + objectname;
42 
43  std::cout << "Video name: " << opt_videoname << std::endl;
44  std::cout << "Tracker requested config files: " << objectname << ".[init, cao]" << std::endl;
45  std::cout << "Tracker optional config files: " << objectname << ".[ppm]" << std::endl;
46 
54 
55  vpVideoReader g;
56  g.setFileName(opt_videoname);
57  g.open(I);
58 
59  vpDisplay *display = nullptr;
60 #if defined(VISP_HAVE_X11)
61  display = new vpDisplayX;
62 #elif defined(VISP_HAVE_GDI)
63  display = new vpDisplayGDI;
64 #elif defined(HAVE_OPENCV_HIGHGUI)
66 #endif
67  display->init(I, 100, 100, "Model-based tracker");
68 
70  vpMbTracker *tracker;
71  if (opt_tracker == 0)
72  tracker = new vpMbEdgeTracker;
73 #if defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
74  else if (opt_tracker == 1)
75  tracker = new vpMbKltTracker;
76  else
77  tracker = new vpMbEdgeKltTracker;
78 #else
79  else {
80  std::cout << "klt and hybrid model-based tracker are not available "
81  "since visp_klt module is missing"
82  << std::endl;
83  return EXIT_FAILURE;
84  }
85 #endif
87 
89  if (opt_tracker == 0 || opt_tracker == 2) {
90  vpMe me;
91  me.setMaskSize(5);
92  me.setMaskNumber(180);
93  me.setRange(8);
95  me.setThreshold(20);
96  me.setMu1(0.5);
97  me.setMu2(0.5);
98  me.setSampleStep(4);
99  dynamic_cast<vpMbEdgeTracker *>(tracker)->setMovingEdge(me);
100  }
101 
102 #if defined(VISP_HAVE_OPENCV) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
103  if (opt_tracker == 1 || opt_tracker == 2) {
104  vpKltOpencv klt_settings;
105  klt_settings.setMaxFeatures(300);
106  klt_settings.setWindowSize(5);
107  klt_settings.setQuality(0.015);
108  klt_settings.setMinDistance(8);
109  klt_settings.setHarrisFreeParameter(0.01);
110  klt_settings.setBlockSize(3);
111  klt_settings.setPyramidLevels(3);
112  dynamic_cast<vpMbKltTracker *>(tracker)->setKltOpencv(klt_settings);
113  dynamic_cast<vpMbKltTracker *>(tracker)->setKltMaskBorder(5);
114  }
115 #endif
116 
118  cam.initPersProjWithoutDistortion(839, 839, 325, 243);
120  tracker->setCameraParameters(cam);
122 
124  tracker->loadModel(objectname + ".cao");
127  tracker->setDisplayFeatures(true);
130  tracker->initClick(I, objectname + ".init", true);
132 
133  while (!g.end()) {
134  g.acquire(I);
137  tracker->track(I);
140  tracker->getPose(cMo);
143  tracker->getCameraParameters(cam);
144  tracker->display(I, cMo, cam, vpColor::red, 2);
146  vpDisplay::displayFrame(I, cMo, cam, 0.025, vpColor::none, 3);
147  vpDisplay::displayText(I, 10, 10, "A click to exit...", vpColor::red);
148  vpDisplay::flush(I);
149 
150  if (vpDisplay::getClick(I, false))
151  break;
152  }
155  delete display;
156  delete tracker;
158  }
159  catch (const vpException &e) {
160  std::cout << "Catch a ViSP exception: " << e << std::endl;
161  return EXIT_FAILURE;
162  }
163 #else
164  (void)argc;
165  (void)argv;
166  std::cout << "Install OpenCV and rebuild ViSP to use this example." << std::endl;
167 #endif
168  return EXIT_SUCCESS;
169 }
Generic class defining intrinsic camera parameters.
void initPersProjWithoutDistortion(double px, double py, double u0, double v0)
static const vpColor red
Definition: vpColor.h:211
static const vpColor none
Definition: vpColor.h:223
Display for windows using GDI (available on any windows 32 platform).
Definition: vpDisplayGDI.h:128
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:128
Class that defines generic functionalities for display.
Definition: vpDisplay.h:173
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void display(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), const std::string &frameName="", const vpColor &textColor=vpColor::black, const vpImagePoint &textOffset=vpImagePoint(15, 15))
static void flush(const vpImage< unsigned char > &I)
static void displayText(const vpImage< unsigned char > &I, const vpImagePoint &ip, const std::string &s, const vpColor &color)
error that can be emitted by ViSP classes.
Definition: vpException.h:59
Implementation of an homogeneous matrix and operations on such kind of matrices.
static std::string getNameWE(const std::string &pathname)
Definition: vpIoTools.cpp:2003
static std::string getParent(const std::string &pathname)
Definition: vpIoTools.cpp:2086
Wrapper for the KLT (Kanade-Lucas-Tomasi) feature tracker implemented in OpenCV. Thus to enable this ...
Definition: vpKltOpencv.h:73
void setBlockSize(int blockSize)
Definition: vpKltOpencv.h:266
void setQuality(double qualityLevel)
Definition: vpKltOpencv.h:355
void setHarrisFreeParameter(double harris_k)
Definition: vpKltOpencv.h:274
void setMaxFeatures(int maxCount)
Definition: vpKltOpencv.h:314
void setMinDistance(double minDistance)
Definition: vpKltOpencv.h:323
void setWindowSize(int winSize)
Definition: vpKltOpencv.h:376
void setPyramidLevels(int pyrMaxLevel)
Definition: vpKltOpencv.h:342
Hybrid tracker based on moving-edges and keypoints tracked using KLT tracker.
Make the complete tracking of an object by using its CAD model.
Model based tracker using only KLT.
Main methods for a model-based tracker.
Definition: vpMbTracker.h:105
virtual void track(const vpImage< unsigned char > &I)=0
virtual void getCameraParameters(vpCameraParameters &cam) const
Definition: vpMbTracker.h:248
virtual void setDisplayFeatures(bool displayF)
Definition: vpMbTracker.h:518
virtual void getPose(vpHomogeneousMatrix &cMo) const
Definition: vpMbTracker.h:414
virtual void setCameraParameters(const vpCameraParameters &cam)
Definition: vpMbTracker.h:488
virtual void initClick(const vpImage< unsigned char > &I, const std::string &initFile, bool displayHelp=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)=0
virtual void loadModel(const std::string &modelFile, bool verbose=false, const vpHomogeneousMatrix &T=vpHomogeneousMatrix())
Definition: vpMe.h:124
void setMu1(const double &mu_1)
Definition: vpMe.h:399
void setRange(const unsigned int &range)
Definition: vpMe.h:429
void setLikelihoodThresholdType(const vpLikelihoodThresholdType likelihood_threshold_type)
Definition: vpMe.h:519
void setMaskNumber(const unsigned int &mask_number)
Definition: vpMe.cpp:488
void setThreshold(const double &threshold)
Definition: vpMe.h:480
void setSampleStep(const double &sample_step)
Definition: vpMe.h:436
void setMaskSize(const unsigned int &mask_size)
Definition: vpMe.cpp:496
void setMu2(const double &mu_2)
Definition: vpMe.h:406
@ NORMALIZED_THRESHOLD
Definition: vpMe.h:135
Class that enables to manipulate easily a video file or a sequence of images. As it inherits from the...
void acquire(vpImage< vpRGBa > &I)
void open(vpImage< vpRGBa > &I)
void setFileName(const std::string &filename)
void display(vpImage< unsigned char > &I, const std::string &title)
Display a gray-scale image.