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Cosmetics.
[mtp.git]
/
mtp.cc
diff --git
a/mtp.cc
b/mtp.cc
index
35b431b
..
4ba31d9
100644
(file)
--- a/
mtp.cc
+++ b/
mtp.cc
@@
-18,10
+18,6
@@
// Multi-Tracked Path
// 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>
#include <iostream>
#include <fstream>
#include <stdlib.h>
@@
-32,10
+28,18
@@
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 main(int argc, char **argv) {
- int nb_locations =
5
;
- int nb_time_steps =
2
0;
- int motion_amplitude =
2
;
+ int nb_locations =
1000
;
+ int nb_time_steps =
100
0;
+ int motion_amplitude =
1
;
Tracker *tracker = new Tracker(nb_time_steps, nb_locations);
Tracker *tracker = new Tracker(nb_time_steps, nb_locations);
@@
-43,32
+47,34
@@
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);
}
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_entrance(0, 1);
+ tracker->set_as_exit(nb_locations - 1, 1);
}
tracker->build_graph();
}
tracker->build_graph();
- // {
- // ofstream out("graph.dot");
- // tracker->print_dot_graph(&out);
- // }
- for(int r = 0; r < 10; r++) {
+ // We repeat several times the same tracking to check how stable it
+ // is
+
+ for(int r = 0; r < 1; r++) {
cout << "* ROUND " << r << endl;
cout << "* ROUND " << r << endl;
+ // We generate synthetic detection scores at location
+ // nb_locations/2, with 10% false detection (FP or FN)
+
for(int t = 0; t < nb_time_steps; t++) {
for(int l = 0; l < nb_locations; l++) {
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, l, detection_score(-1, 0.95));
}
}
- tracker->set_detection_score(t, nb_locations/2,
- (drand48() < 0.95 ? 1.0 : -1.0) + drand48() * 0.1 - 0.05);
+ tracker->set_detection_score(t, nb_locations/2, detection_score(1, 0.95));
}
tracker->track();
for(int t = 0; t < tracker->nb_trajectories(); t++) {
}
tracker->track();
for(int t = 0; t < tracker->nb_trajectories(); t++) {
- cout << "TRAJECTORY " << 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);
}
for(int u = 0; u < tracker->trajectory_duration(t); u++) {
cout << " " << tracker->trajectory_location(t, u);
}