Cosmetics + fixed the entrance in last time frame and exits in first time frame.

[mtp.git] / mtp.cc

diff --git a/mtp.cc b/mtp.cc
index 35b431b..e07a738 100644 (file)
--- a/mtp.cc
+++ b/mtp.cc
@@ -18,13 +18,8 @@
 
 // Multi-Tracked Path
 
-// Takes the graph description file as input and produces a dot file.
-
-// EXAMPLE: ./mtp ./graph2.txt  | dot -T pdf -o- | xpdf -
-
 #include <iostream>
 #include <fstream>
-#include <stdlib.h>
 
 using namespace std;
 
@@ -32,10 +27,18 @@ using namespace std;
 
 //////////////////////////////////////////////////////////////////////
 
+scalar_t detection_score(int true_label, scalar_t flip_noise) {
+  if((true_label > 0) == (drand48() < flip_noise)) {
+    return   1.0 + 0.2 * (drand48() - 0.5);
+  } else {
+    return - 1.0 + 0.2 * (drand48() - 0.5);
+  }
+}
+
 int main(int argc, char **argv) {
-  int nb_locations = 5;
-  int nb_time_steps = 20;
-  int motion_amplitude = 2;
+  int nb_locations = 6;
+  int nb_time_steps = 5;
+  int motion_amplitude = 1;
 
   Tracker *tracker = new Tracker(nb_time_steps, nb_locations);
 
@@ -43,37 +46,38 @@ int main(int argc, char **argv) {
     for(int k = 0; k < nb_locations; k++) {
       tracker->set_allowed_motion(l, k, abs(l - k) <= motion_amplitude);
     }
-    tracker->set_as_exit(0, 1);
     tracker->set_as_entrance(0, 1);
+    tracker->set_as_exit(nb_locations - 1, 1);
   }
 
   tracker->build_graph();
-  // {
-    // ofstream out("graph.dot");
-    // tracker->print_dot_graph(&out);
-  // }
-
-  for(int r = 0; r < 10; r++) {
-    cout << "* ROUND " << r << endl;
-
-    for(int t = 0; t < nb_time_steps; t++) {
-      for(int l = 0; l < nb_locations; l++) {
-        tracker->set_detection_score(t, l,
-                                    (drand48() < 0.95 ? -1.0 : 1.0) + drand48() * 0.1 - 0.05);
-      }
-      tracker->set_detection_score(t, nb_locations/2,
-                                  (drand48() < 0.95 ? 1.0 : -1.0) + drand48() * 0.1 - 0.05);
+
+  // We generate synthetic detection scores at location
+  // nb_locations/2, with 5% false detection (FP or FN)
+
+  for(int t = 0; t < nb_time_steps; t++) {
+    for(int l = 0; l < nb_locations; l++) {
+      tracker->set_detection_score(t, l, detection_score(-1, 0.95));
     }
+    tracker->set_detection_score(t, nb_locations/2, detection_score(1, 0.95));
+  }
 
-    tracker->track();
+  tracker->track();
 
-    for(int t = 0; t < tracker->nb_trajectories(); t++) {
-      cout << "TRAJECTORY " << t << " :";
-      for(int u = 0; u < tracker->trajectory_duration(t); u++) {
-        cout << " " << tracker->trajectory_location(t, u);
-      }
-      cout << endl;
+  for(int t = 0; t < tracker->nb_trajectories(); t++) {
+    cout << "TRAJECTORY "
+         << t
+         << " [starting " << tracker->trajectory_entrance_time(t) << "]";
+    for(int u = 0; u < tracker->trajectory_duration(t); u++) {
+      cout << " " << tracker->trajectory_location(t, u);
     }
+    cout << endl;
+  }
+
+  {
+    ofstream dot("graph.dot");
+    tracker->print_graph_dot(&dot);
+    cout << "Wrote graph.dot." << endl;
   }
 
   delete tracker;