segmentation / netmets

  #include <stdlib.h>
  #include <string>
  #include <fstream>
  #include <algorithm>

  #include <stim/biomodels/network.h>

  
  #include <ANN/ANN.h>
  #include <boost/tuple/tuple.hpp>
  using namespace stim;
  //template <typename T>

  network<float>* network1;
  

  
  int main(int argc, char* argv[])
  {

  	if(argc < 4){
  		std::cout<<"Please specify a ground truth and test case"<<std::endl;
  		exit(1);
  	}
  

  	float resample_rate = 0.1;
  

  	float sigma = atof(argv[3]);

  	stim::network<float> GT;stim::network<float> T;
  	// load obj files to 3D network class

  	GT.load_obj(argv[1]);

  	T.load_obj(argv[2]);

  	// resample the loaded networks
  	stim::network<float> resampled_GT;stim::network<float> resampled_T;

  
  	resampled_GT = GT.resample(sigma * resample_rate);
  	resampled_T = T.resample(sigma * resample_rate);
  

  	// compare ground truth with truth and viceversa
  	float gFPR, gFNR;

  	gFPR = resampled_GT.compare(resampled_T, sigma);
      gFNR = resampled_T.compare(resampled_GT, sigma);

  	// print false alarms and misses
  	std::cout << "False postive rate is " << gFPR << std::endl;
  	std::cout << "False negative rate is " << gFNR << std::endl;
  }