segmentation / netmets

#include <stdlib.h>
#include <string>
#include <fstream>
#include <algorithm>
#include <stim/visualization/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[])
{
	std::string groundTruth = argv[1];
	std::string truthCase = argv[2];
	//stim::network<int> network;
	boost::tuple<  ANNkd_tree*, ANNkd_tree*, stim::network<float>, stim::network<float> > networkKdtree;
	networkKdtree = network1->LoadNetworks(groundTruth, truthCase);
	//std::cout<<networkKdtree.get< 2>().edges_to_str()<<std::endl;
	networkKdtree.get< 2>().to_obj();
	//networkKdtree.get< 2>()
	boost::tuple< float, float > metrics = network1->compareSkeletons(networkKdtree);
	std::cout << "False postive rate is " << metrics.get< 0>() << std::endl;
	std::cout << "False negative rate is " << metrics.get< 1>() << std::endl;
}