For example, it can be used to match tracked (red) and detected (green) image points:
#include <functional>
#include <visp3/core/vpConfig.h>
#include <visp3/gui/vpDisplayFactory.h>
#include <visp3/core/vpColor.h>
#include <visp3/core/vpMunkres.h>
#include <visp3/core/vpUniRand.h>
int main()
{
#if ((__cplusplus >= 201703L) || (defined(_MSVC_LANG) && (_MSVC_LANG >= 201703L)))
#if defined(VISP_HAVE_DISPLAY)
#ifdef ENABLE_VISP_NAMESPACE
#endif
std::vector<vpImagePoint> rand_ips {};
while (rand_ips.size() < 10) {
rand_ips.emplace_back(rand.
uniform(10, I.getHeight() - 10), rand.
uniform(10, I.getWidth() - 10));
}
#if (VISP_CXX_STANDARD >= VISP_CXX_STANDARD_11)
#else
#endif
try {
I.display->displayCircle(ip, 5, color, true, 1);
};
auto disp_lane { 0 };
std::for_each(begin(rand_ips), end(rand_ips), std::bind(display_point, std::placeholders::_1,
vpColor::red));
std::vector<vpImagePoint> user_ips {};
user_ips.push_back(ip);
}
#if (VISP_CXX_STANDARD < VISP_CXX_STANDARD_11) && defined(VISP_HAVE_DISPLAY)
if (display != nullptr) {
delete display;
}
#endif
return EXIT_SUCCESS;
}
std::for_each(begin(user_ips), end(user_ips), std::bind(display_point, std::placeholders::_1,
vpColor::green));
}
std::vector<std::vector<double> > cost_matrix(rand_ips.size(), std::vector<double>(user_ips.size()));
for (
auto i = 0u;
i < rand_ips.size();
i++) {
for (
auto j = 0u;
j < user_ips.size();
j++) {
}
}
std::for_each(begin(rand_ips), end(rand_ips), std::bind(display_point, std::placeholders::_1,
vpColor::red));
std::for_each(begin(user_ips), end(user_ips), std::bind(display_point, std::placeholders::_1,
vpColor::green));
I.display->displayLine(rand_ips.at(i), user_ips.at(j),
vpColor::blue, 1);
}
}
std::cout <<
"Catch an exception: " <<
e << std::endl;
}
#if (VISP_CXX_STANDARD < VISP_CXX_STANDARD_11) && defined(VISP_HAVE_DISPLAY)
if (display != nullptr) {
delete display;
}
#endif
#endif
#endif
return EXIT_SUCCESS;
}
Class to define RGB colors available for display functionalities.
static const vpColor blue
static const vpColor black
static const vpColor green
Class that defines generic functionalities for display.
static bool getClick(const vpImage< unsigned char > &I, bool blocking=true)
static void display(const vpImage< unsigned char > &I)
static void setTitle(const vpImage< unsigned char > &I, const std::string &windowtitle)
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.
Class that defines a 2D point in an image. This class is useful for image processing and stores only ...
static double distance(const vpImagePoint &iP1, const vpImagePoint &iP2)
Definition of the vpImage class member functions.
static std::vector< std::pair< unsigned int, unsigned int > > run(std::vector< std::vector< Type > > costs)
Class for generating random numbers with uniform probability density.
int uniform(int a, int b)
std::shared_ptr< vpDisplay > createDisplay()
Return a smart pointer vpDisplay specialization if a GUI library is available or nullptr otherwise.
vpDisplay * allocateDisplay()
Return a newly allocated vpDisplay specialization if a GUI library is available or nullptr otherwise.
The tutorial starts with 10 random image points (red) which represent our tracked points:
Then, by clicking on the image, the user is able to simulate the detected points (green):
Once the "fake" detection are selected, a cost matrix is built by defining the cost of assigning a track to a detection point as the Euclidean distance between them:
Finally, Munkres is ran to assign tracked points with the detected points (blue lines):