X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=mtp.cc;h=1af71afbf4ff8a44b15026097467a42b60bbc1ad;hb=5b2943dfdbc77edc1f5f8bfa1f19102c6c049cc8;hp=59e950a0da1ebd5d2564977de6f5fcb56c7de22d;hpb=3070f21d61377aff06255fa5cfe92d0111d70117;p=mtp.git diff --git a/mtp.cc b/mtp.cc index 59e950a..1af71af 100644 --- a/mtp.cc +++ b/mtp.cc @@ -18,10 +18,6 @@ // 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 #include #include @@ -32,8 +28,8 @@ using namespace std; ////////////////////////////////////////////////////////////////////// -scalar_t detection_score(int true_label) { - if((true_label > 0) == (drand48() < 0.9)) { +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); @@ -41,8 +37,8 @@ scalar_t detection_score(int true_label) { } int main(int argc, char **argv) { - int nb_locations = 5; - int nb_time_steps = 20; + int nb_locations = 1000; + int nb_time_steps = 1000; int motion_amplitude = 1; Tracker *tracker = new Tracker(nb_time_steps, nb_locations); @@ -51,36 +47,32 @@ 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(); - for(int r = 0; r < 10; r++) { - cout << "* ROUND " << r << endl; + // We generate synthetic detection scores at location + // nb_locations/2, with 5% false detection (FP or FN) - // We generate synthetic detection scores, all in the center - // location, with 10% 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)); - } - tracker->set_detection_score(t, nb_locations/2, detection_score(1)); + 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 - << " [starting " << tracker->trajectory_entrance_time(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; } delete tracker;