Example of MBT KLT Tracking on an image sequence containing a cube.
#include <iostream>
#include <visp3/core/vpConfig.h>
#if defined(VISP_HAVE_MODULE_MBT) && defined(VISP_HAVE_MODULE_KLT) && defined(VISP_HAVE_OPENCV) && \
defined(VISP_HAVE_DISPLAY) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
#include <visp3/core/vpDebug.h>
#include <visp3/core/vpHomogeneousMatrix.h>
#include <visp3/core/vpIoTools.h>
#include <visp3/core/vpMath.h>
#include <visp3/gui/vpDisplayD3D.h>
#include <visp3/gui/vpDisplayGDI.h>
#include <visp3/gui/vpDisplayGTK.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/gui/vpDisplayX.h>
#include <visp3/io/vpImageIo.h>
#include <visp3/io/vpParseArgv.h>
#include <visp3/io/vpVideoReader.h>
#include <visp3/mbt/vpMbKltTracker.h>
#define GETOPTARGS "x:m:i:n:de:chtfolwv"
#ifdef ENABLE_VISP_NAMESPACE
#endif
void usage(const char *name, const char *badparam)
{
#if VISP_HAVE_DATASET_VERSION >= 0x030600
std::string ext("png");
#else
std::string ext("pgm");
#endif
fprintf(stdout, "\n\
Example of tracking based on the 3D model.\n\
\n\
SYNOPSIS\n\
%s [-i <test image path>] [-x <config file>]\n\
[-m <model name>] [-n <initialisation file base name>] [-e <last frame index>]\n\
[-t] [-c] [-d] [-h] [-f] [-o] [-w] [-l] [-v]\n",
name);
fprintf(stdout, "\n\
OPTIONS: \n\
-i <input image path> \n\
Set image input path.\n\
From this path read images \n\
\"mbt/cube/image%%04d.%s\". These \n\
images come from visp-images-x.y.z.tar.gz available \n\
on the ViSP website.\n\
Setting the VISP_INPUT_IMAGE_PATH environment\n\
variable produces the same behaviour than using\n\
this option.\n\
\n\
-x <config file> \n\
Set the config file (the xml file) to use.\n\
The config file is used to specify the parameters of the tracker.\n\
\n\
-m <model name> \n\
Specify the name of the file of the model\n\
The model can either be a vrml model (.wrl) or a .cao file.\n\
\n\
-e <last frame index> \n\
Specify the index of the last frame. Once reached, the tracking is stopped\n\
\n\
-f \n\
Do not use the vrml model, use the .cao one. These two models are \n\
equivalent and comes from ViSP-images-x.y.z.tar.gz available on the ViSP\n\
website. However, the .cao model allows to use the 3d model based tracker \n\
without Coin.\n\
\n\
-n <initialisation file base name> \n\
Base name of the initialisation file. The file will be 'base_name'.init .\n\
This base name is also used for the Optional picture specifying where to \n\
click (a .ppm picture).\n\
\n\
-t \n\
Turn off the display of the the klt points. \n\
\n\
-d \n\
Turn off the display.\n\
\n\
-c\n\
Disable the mouse click. Useful to automate the \n\
execution of this program without human intervention.\n\
\n\
-o\n\
Use Ogre3D for visibility tests\n\
\n\
-w\n\
When Ogre3D is enable [-o] show Ogre3D configuration dialog thatallows to set the renderer.\n\
\n\
-l\n\
Use the scanline for visibility tests.\n\
\n\
-v\n\
Compute covariance matrix.\n\
\n\
-h \n\
Print the help.\n\n",
ext.c_str());
if (badparam)
fprintf(stdout, "\nERROR: Bad parameter [%s]\n", badparam);
}
bool getOptions(int argc, const char **argv, std::string &ipath, std::string &configFile, std::string &modelFile,
std::string &initFile, long &lastFrame, bool &displayKltPoints, bool &click_allowed, bool &display,
bool &cao3DModel, bool &useOgre, bool &showOgreConfigDialog, bool &useScanline, bool &computeCovariance)
{
const char *optarg_;
int c;
switch (c) {
case 'e':
lastFrame = atol(optarg_);
break;
case 'i':
ipath = optarg_;
break;
case 'x':
configFile = optarg_;
break;
case 'm':
modelFile = optarg_;
break;
case 'n':
initFile = optarg_;
break;
case 't':
displayKltPoints = false;
break;
case 'f':
cao3DModel = true;
break;
case 'c':
click_allowed = false;
break;
case 'd':
display = false;
break;
case 'o':
useOgre = true;
break;
case 'l':
useScanline = true;
break;
case 'w':
showOgreConfigDialog = true;
break;
case 'v':
computeCovariance = true;
break;
case 'h':
usage(argv[0], nullptr);
return false;
break;
default:
usage(argv[0], optarg_);
return false;
break;
}
}
if ((c == 1) || (c == -1)) {
usage(argv[0], nullptr);
std::cerr << "ERROR: " << std::endl;
std::cerr << " Bad argument " << optarg_ << std::endl << std::endl;
return false;
}
return true;
}
int main(int argc, const char **argv)
{
try {
std::string env_ipath;
std::string opt_ipath;
std::string ipath;
std::string opt_configFile;
std::string configFile;
std::string opt_modelFile;
std::string modelFile;
std::string opt_initFile;
std::string initFile;
long opt_lastFrame = -1;
bool displayKltPoints = true;
bool opt_click_allowed = true;
bool opt_display = true;
bool cao3DModel = false;
bool useOgre = false;
bool showOgreConfigDialog = false;
bool useScanline = false;
bool computeCovariance = false;
bool quit = false;
#if VISP_HAVE_DATASET_VERSION >= 0x030600
std::string ext("png");
#else
std::string ext("pgm");
#endif
if (!env_ipath.empty())
ipath = env_ipath;
if (!getOptions(argc, argv, opt_ipath, opt_configFile, opt_modelFile, opt_initFile, opt_lastFrame, displayKltPoints,
opt_click_allowed, opt_display, cao3DModel, useOgre, showOgreConfigDialog, useScanline,
computeCovariance)) {
return EXIT_FAILURE;
}
if (opt_ipath.empty() && env_ipath.empty()) {
usage(argv[0], nullptr);
std::cerr << std::endl << "ERROR:" << std::endl;
std::cerr << " Use -i <visp image path> option or set VISP_INPUT_IMAGE_PATH " << std::endl
<< " environment variable to specify the location of the " << std::endl
<< " image path where test images are located." << std::endl
<< std::endl;
return EXIT_FAILURE;
}
if (!opt_ipath.empty())
else
if (!opt_configFile.empty())
configFile = opt_configFile;
else if (!opt_ipath.empty())
else
if (!opt_modelFile.empty()) {
modelFile = opt_modelFile;
}
else {
std::string modelFileCao = "mbt/cube.cao";
std::string modelFileWrl = "mbt/cube.wrl";
if (!opt_ipath.empty()) {
if (cao3DModel) {
}
else {
#ifdef VISP_HAVE_COIN3D
#else
std::cerr << "Coin is not detected in ViSP. Use the .cao model instead." << std::endl;
#endif
}
}
else {
if (cao3DModel) {
}
else {
#ifdef VISP_HAVE_COIN3D
#else
std::cerr << "Coin is not detected in ViSP. Use the .cao model instead." << std::endl;
#endif
}
}
}
if (!opt_initFile.empty())
initFile = opt_initFile;
else if (!opt_ipath.empty())
else
try {
}
catch (...) {
std::cout << "Cannot open sequence: " << ipath << std::endl;
return EXIT_FAILURE;
}
#if defined(VISP_HAVE_X11)
vpDisplayX display;
#elif defined(VISP_HAVE_GDI)
#elif defined(HAVE_OPENCV_HIGHGUI)
#elif defined(VISP_HAVE_D3D9)
#elif defined(VISP_HAVE_GTK)
#else
opt_display = false;
#endif
if (opt_display) {
#if defined(VISP_HAVE_DISPLAY)
display.init(I, 100, 100, "Test tracking");
#endif
}
vpMbKltTracker tracker;
#if defined(VISP_HAVE_PUGIXML)
tracker.loadConfigFile(configFile);
#else
tracker.setCameraParameters(cam);
tracker.setKltOpencv(klt);
tracker.setKltMaskBorder(5);
tracker.setNearClippingDistance(0.01);
tracker.setFarClippingDistance(0.90);
#endif
tracker.setDisplayFeatures(displayKltPoints);
tracker.setOgreVisibilityTest(useOgre);
if (useOgre)
tracker.setOgreShowConfigDialog(showOgreConfigDialog);
tracker.setScanLineVisibilityTest(useScanline);
tracker.setCovarianceComputation(computeCovariance);
tracker.getCameraParameters(cam);
if (opt_display && opt_click_allowed) {
}
}
tracker.loadModel(modelFile);
if (opt_display && opt_click_allowed) {
tracker.initClick(I, initFile, true);
tracker.getPose(cMo);
}
else {
vpHomogeneousMatrix cMoi(0.02044769891, 0.1101505452, 0.5078963719, 2.063603907, 1.110231561, -0.4392789872);
tracker.initFromPose(I, cMoi);
}
tracker.track(I);
tracker.getPose(cMo);
if (opt_display)
if (opt_display)
vpTRACE("Test reset tracker");
if (opt_display)
tracker.resetTracker();
#if defined(VISP_HAVE_PUGIXML)
tracker.loadConfigFile(configFile);
#else
tracker.setCameraParameters(cam);
tracker.setKltOpencv(klt);
tracker.setKltMaskBorder(5);
tracker.setNearClippingDistance(0.01);
tracker.setFarClippingDistance(0.90);
#endif
tracker.loadModel(modelFile);
tracker.setCameraParameters(cam);
tracker.setOgreVisibilityTest(useOgre);
tracker.setScanLineVisibilityTest(useScanline);
tracker.setCovarianceComputation(computeCovariance);
tracker.initFromPose(I, cMo);
}
cMo.
buildFrom(0.0439540832, 0.0845870108, 0.5477322481, 2.179498458, 0.8611798108, -0.3491961946);
vpTRACE("Test set pose");
tracker.setPose(I, cMo);
}
tracker.track(I);
tracker.getPose(cMo);
if (opt_display) {
}
}
if (opt_click_allowed) {
quit = true;
break;
}
}
if (computeCovariance) {
std::cout << "Covariance matrix: \n" << tracker.getCovarianceMatrix() << std::endl << std::endl;
}
if (opt_display)
}
std::cout <<
"Reached last frame: " << reader.
getFrameIndex() << std::endl;
if (opt_click_allowed && !quit) {
}
return EXIT_SUCCESS;
}
std::cout << "Catch an exception: " << e << std::endl;
return EXIT_FAILURE;
}
}
#else
int main()
{
std::cout << "visp_mbt, visp_gui modules and OpenCV are required to run "
"this example."
<< std::endl;
return EXIT_SUCCESS;
}
#endif
Generic class defining intrinsic camera parameters.
void initPersProjWithoutDistortion(double px, double py, double u0, double v0)
static const vpColor darkRed
Display for windows using Direct3D 3rd party. Thus to enable this class Direct3D should be installed....
Display for windows using GDI (available on any windows 32 platform).
The vpDisplayGTK allows to display image using the GTK 3rd party library. Thus to enable this class G...
The vpDisplayOpenCV allows to display image using the OpenCV library. Thus to enable this class OpenC...
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.
Implementation of an homogeneous matrix and operations on such kind of matrices.
vpHomogeneousMatrix & buildFrom(const vpTranslationVector &t, const vpRotationMatrix &R)
Wrapper for the KLT (Kanade-Lucas-Tomasi) feature tracker implemented in OpenCV. Thus to enable this ...
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)
static bool parse(int *argcPtr, const char **argv, vpArgvInfo *argTable, int flags)
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 setLastFrameIndex(const long last_frame)
void open(vpImage< vpRGBa > &I)
void setFileName(const std::string &filename)
long getFirstFrameIndex()
long getFrameIndex() const