Visual Servoing Platform  version 3.6.1 under development (2024-05-21)
tutorial-klt-tracker.cpp

[Include]

#include <visp3/core/vpImageConvert.h>
#include <visp3/gui/vpDisplayOpenCV.h>
#include <visp3/io/vpVideoReader.h>
#include <visp3/klt/vpKltOpencv.h>
int main(int argc, const char *argv[])
{
#if (defined(HAVE_OPENCV_HIGHGUI) && defined(HAVE_OPENCV_VIDEOIO) || defined(VISP_HAVE_V4L2)) && defined(HAVE_OPENCV_IMGPROC) && defined(HAVE_OPENCV_VIDEO)
try {
std::string opt_videoname = "video-postcard.mp4";
bool opt_init_by_click = false;
unsigned int opt_subsample = 1;
for (int i = 0; i < argc; i++) {
if (std::string(argv[i]) == "--videoname")
opt_videoname = std::string(argv[i + 1]);
else if (std::string(argv[i]) == "--init-by-click")
opt_init_by_click = true;
else if (std::string(argv[i]) == "--subsample")
opt_subsample = static_cast<unsigned int>(std::atoi(argv[i + 1]));
else if (std::string(argv[i]) == "--help" || std::string(argv[i]) == "-h") {
std::cout << "Usage: " << argv[0]
<< " [--videoname <video name>] [--subsample <scale factor>] [--init-by-click]"
<< " [--help] [-h]" << std::endl;
return EXIT_SUCCESS;
}
}
vpVideoReader reader;
reader.setFileName(opt_videoname);
reader.acquire(Iacq);
Iacq.subsample(opt_subsample, opt_subsample, I);
cv::Mat cvI;
vpDisplayOpenCV d(I, 0, 0, "Klt tracking");
vpKltOpencv tracker;
tracker.setMaxFeatures(200);
tracker.setWindowSize(10);
tracker.setQuality(0.01);
tracker.setMinDistance(15);
tracker.setHarrisFreeParameter(0.04);
tracker.setBlockSize(9);
tracker.setUseHarris(1);
tracker.setPyramidLevels(3);
// Initialise the tracking
if (opt_init_by_click) {
std::vector<cv::Point2f> feature;
do {
vpDisplay::displayText(I, 10, 10, "Left click to select a point, right to start tracking", vpColor::red);
if (vpDisplay::getClick(I, ip, button, false)) {
if (button == vpMouseButton::button1) {
feature.push_back(cv::Point2f((float)ip.get_u(), (float)ip.get_v()));
}
}
} while (button != vpMouseButton::button3);
tracker.initTracking(cvI, feature);
}
else {
tracker.initTracking(cvI);
}
std::cout << "Tracker initialized with " << tracker.getNbFeatures() << " features" << std::endl;
while (!reader.end()) {
double t = vpTime::measureTimeMs();
reader.acquire(Iacq);
Iacq.subsample(opt_subsample, opt_subsample, I);
if (opt_init_by_click && reader.getFrameIndex() == reader.getFirstFrameIndex() + 20) {
std::vector<cv::Point2f> feature;
do {
vpDisplay::displayText(I, 10, 10, "Left click to select a point, right to start tracking", vpColor::red);
if (vpDisplay::getClick(I, ip, button, false)) {
if (button == vpMouseButton::button1) {
feature.push_back(cv::Point2f((float)ip.get_u(), (float)ip.get_v()));
}
}
} while (button != vpMouseButton::button3);
tracker.initTracking(cvI, feature);
}
tracker.track(cvI);
tracker.display(I, vpColor::red);
vpDisplay::displayText(I, 10, 10, "Click to quit", vpColor::red);
if (vpDisplay::getClick(I, false))
break;
if (!reader.isVideoFormat()) {
vpTime::wait(t, 40);
}
}
}
catch (const vpException &e) {
std::cout << "Catch an exception: " << e << std::endl;
return EXIT_FAILURE;
}
#else
(void)argc;
(void)argv;
#endif
return EXIT_SUCCESS;
}
static const vpColor red
Definition: vpColor.h:211
static const vpColor green
Definition: vpColor.h:214
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 displayCross(const vpImage< unsigned char > &I, const vpImagePoint &ip, unsigned int size, const vpColor &color, unsigned int thickness=1)
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
static void convert(const vpImage< unsigned char > &src, vpImage< vpRGBa > &dest)
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
Definition: vpImagePoint.h:82
double get_u() const
Definition: vpImagePoint.h:136
double get_v() const
Definition: vpImagePoint.h:147
void subsample(unsigned int v_scale, unsigned int h_scale, vpImage< Type > &sampled) const
Definition: vpImage.h:1725
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 track(const cv::Mat &I)
int getNbFeatures() const
Get the number of current features.
Definition: vpKltOpencv.h:197
void setHarrisFreeParameter(double harris_k)
Definition: vpKltOpencv.h:274
void setMaxFeatures(int maxCount)
Definition: vpKltOpencv.h:314
void initTracking(const cv::Mat &I, const cv::Mat &mask=cv::Mat())
Definition: vpKltOpencv.cpp:93
void setMinDistance(double minDistance)
Definition: vpKltOpencv.h:323
void display(const vpImage< unsigned char > &I, const vpColor &color=vpColor::red, unsigned int thickness=1)
void setUseHarris(int useHarrisDetector)
Definition: vpKltOpencv.h:367
void setWindowSize(int winSize)
Definition: vpKltOpencv.h:376
void setPyramidLevels(int pyrMaxLevel)
Definition: vpKltOpencv.h:342
Class that enables to manipulate easily a video file or a sequence of images. As it inherits from the...
bool isVideoFormat() const
void acquire(vpImage< vpRGBa > &I)
void setFileName(const std::string &filename)
long getFirstFrameIndex()
long getFrameIndex() const
VISP_EXPORT int wait(double t0, double t)
VISP_EXPORT double measureTimeMs()