I need your help to solve the following problem:
Is there a function in c++/opencv which is equivalent to the following code:
np.random.choice(len(vec), samples, p=probabilities[:,0], replace=True)
Thanks in advance.
seems you are looking to sample from a discrete random distribution
the example on that page is fairly demonstrative:
// discrete_distribution
#include <iostream>
#include <random>
int main()
{
const int nrolls = 10000; // number of experiments
const int nstars = 100; // maximum number of stars to distribute
std::default_random_engine generator;
std::discrete_distribution<int> distribution {2,2,1,1,2,2,1,1,2,2};
int p[10]={};
for (int i=0; i<nrolls; ++i) {
int number = distribution(generator);
++p[number];
}
std::cout << "a discrete_distribution:" << std::endl;
for (int i=0; i<10; ++i)
std::cout << i << ": " << std::string(p[i]*nstars/nrolls,'*') << std::endl;
return 0;
}