03_test_classifier_trimesh_plane.cpp

This is an example of how to use the netdem library.

#include "general_net.hpp"
#include "mlpack_utils.hpp"
#include "regression_net.hpp"
 
using namespace netdem;
using namespace std;
 
void TestClassifierTrimeshPlane() {
  string root_dir = "local/examples/netdem/ann_models/trimesh_plane/";
 
  arma::mat dataset;
  bool loadedDataset =
      mlpack::data::Load(root_dir + "dataset_detection.txt", dataset, true);
  if (!loadedDataset) {
    cout << "loading data erros ..." << endl;
    return;
  }
  cout << "finished loading data ..." << endl;
 
  arma::mat test_data = dataset;
 
  int num_x{4}, num_y{1};
  arma::mat test_x = test_data.rows(0, num_x - 1);
  arma::mat test_y = test_data.row(num_x);
  cout << "finished preparing training and testing data ..." << endl;
 
  GeneralNet model;
  model.Load(root_dir + "ann_classifier.xml", "detection");
  cout << "finished loading ann model ..." << endl;
 
  auto pred_y = model.Classify(test_x);
  double test_accuracy =
      arma::accu(pred_y == test_y) * 1.0 / test_y.n_elem * 100.0;
  cout << "test accuracy: " << test_accuracy << " %" << endl;
 
  arma::mat joined_yy = std::move(arma::join_cols(pred_y, test_y));
  mlpack::data::Save(root_dir + "pred_vs_true_detection.txt", joined_yy, false,
                     true, mlpack::data::FileType::CSVASCII);
}