Preparing to make mtp be a command line using an input file.

[mtp.git] / mtp.cc

diff --git a/mtp.cc b/mtp.cc
deleted file mode 100644 (file)
index 7f55e0a..0000000
--- a/mtp.cc
+++ /dev/null
@@ -1,141 +0,0 @@
-
-///////////////////////////////////////////////////////////////////////////
-// This program is free software: you can redistribute it and/or modify  //
-// it under the terms of the version 3 of the GNU General Public License //
-// as published by the Free Software Foundation.                         //
-//                                                                       //
-// This program is distributed in the hope that it will be useful, but   //
-// WITHOUT ANY WARRANTY; without even the implied warranty of            //
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU      //
-// General Public License for more details.                              //
-//                                                                       //
-// You should have received a copy of the GNU General Public License     //
-// along with this program. If not, see <http://www.gnu.org/licenses/>.  //
-//                                                                       //
-// Written by and Copyright (C) Francois Fleuret                         //
-// Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
-///////////////////////////////////////////////////////////////////////////
-
-// Multi-Tracked Path
-
-#include <iostream>
-#include <fstream>
-
-using namespace std;
-
-#include "tracker.h"
-
-//////////////////////////////////////////////////////////////////////
-
-scalar_t detection_score(scalar_t a, scalar_t b, scalar_t score_noise, scalar_t flip_noise) {
-  if(drand48() > flip_noise) {
-    return a + score_noise * (2.0 * drand48() - 1.0);
-  } else {
-    return b + score_noise * (2.0 * drand48() - 1.0);
-  }
-}
-
-int main(int argc, char **argv) {
-  int nb_locations = 7;
-  int nb_time_steps = 8;
-  int motion_amplitude = 1;
-
-  Tracker *tracker = new Tracker(nb_time_steps, nb_locations);
-
-  // We define the spatial structures by stating what are the possible
-  // motions of targets, and what are the entrances and the
-  // exits.
-
-  // Here our example is a 1D space with motions from any location to
-  // any location less than motion_amplitude away, entrance at
-  // location 0 and exit at location nb_locations-1.
-
-  for(int l = 0; l < nb_locations; l++) {
-    for(int k = 0; k < nb_locations; k++) {
-      tracker->allowed_motion[l][k] = abs(l - k) <= motion_amplitude;
-    }
-    tracker->entrances[0] = 1;
-    tracker->exits[nb_locations - 1] = 1;
-  }
-
-  // We construct the graph corresponding to this structure
-
-  tracker->build_graph();
-
-  // Then, we specify for every location and time step what is the
-  // detection score there.
-
-  scalar_t flip_noise = 0.05;
-  scalar_t score_noise = 0.0;
-
-  // We first put a background noise, with negative scores at every
-  // location.
-
-  for(int t = 0; t < nb_time_steps; t++) {
-    for(int l = 0; l < nb_locations; l++) {
-      tracker->detection_scores[t][l] = detection_score(-1.0, 1.0, score_noise, flip_noise);
-    }
-  }
-
-  // Then we two targets with the typical local minimum:
-  //
-  // * Target A moves from location 0 to the middle, stays there for a
-  //   while, and comes back, and is strongly detected on the first
-  //   half
-  //
-  // * Target B moves from location nb_locations-1 to the middle, stay
-  //   there for a while, and comes back, and is strongly detected on
-  //   the second half
-
-  int la, lb; // Target locations
-  scalar_t sa, sb; // Target detection scores
-  for(int t = 0; t < nb_time_steps; t++) {
-    if(t < nb_time_steps/2) {
-      la = t;
-      lb = nb_locations - 1 - t;
-      sa = detection_score(10.0, -1.0, score_noise, flip_noise);
-      sb = detection_score( 1.0, -1.0, score_noise, flip_noise);
-    } else {
-      la = nb_time_steps - 1 - t;
-      lb = t - nb_time_steps + nb_locations;
-      sa = detection_score( 1.0, -1.0, score_noise, flip_noise);
-      sb = detection_score(10.0, -1.0, score_noise, flip_noise);
-    }
-
-    if(la > nb_locations/2 - 1) la = nb_locations/2 - 1;
-    if(lb < nb_locations/2 + 1) lb = nb_locations/2 + 1;
-
-    tracker->detection_scores[t][la] = sa;
-    tracker->detection_scores[t][lb] = sb;
-  }
-
-  // Does the tracking per se
-
-  tracker->track();
-
-  // Prints the detected trajectories
-
-  for(int t = 0; t < tracker->nb_trajectories(); t++) {
-    cout << "TRAJECTORY "
-         << t
-         << " [starting " << tracker->trajectory_entrance_time(t)
-         << ", score " << tracker->trajectory_score(t) << "]";
-    for(int u = 0; u < tracker->trajectory_duration(t); u++) {
-      cout << " " << tracker->trajectory_location(t, u);
-    }
-    cout << endl;
-  }
-
-  // Save the underlying graph in the dot format, with occupied edges
-  // marked in bold.
-
-  {
-    ofstream dot("graph.dot");
-    tracker->print_graph_dot(&dot);
-    cout << "Wrote graph.dot." << endl;
-  }
-
-  delete tracker;
-
-  exit(EXIT_SUCCESS);
-}