X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=mtp.cc;h=4ba31d9c9f5d35271f7767de9cc525898d0b3f63;hb=72a428f6024a6a3f84526020f28cfa3a200d0f24;hp=b80f63b76706c35f6971bfa26f2792270236c071;hpb=5b85b5488da0952f823b2c2cfd3793669fc3ac95;p=mtp.git diff --git a/mtp.cc b/mtp.cc index b80f63b..4ba31d9 100644 --- a/mtp.cc +++ b/mtp.cc @@ -18,63 +18,63 @@ // 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 -#include #include -#include using namespace std; -#include "mtp_graph.h" #include "tracker.h" ////////////////////////////////////////////////////////////////////// -void find_best_paths(int nb_vertices, - int nb_edges, int *ea, int *eb, scalar_t *el, - int source, int sink, - int *result_edge_occupation) { - MTPGraph graph(nb_vertices, nb_edges, ea, eb, source, sink); - graph.find_best_paths(el); - graph.print_dot(); +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 = 6; - int nb_time_steps = 10; + int nb_locations = 1000; + int nb_time_steps = 1000; + int motion_amplitude = 1; Tracker *tracker = new Tracker(nb_time_steps, nb_locations); for(int l = 0; l < nb_locations; l++) { for(int k = 0; k < nb_locations; k++) { - tracker->set_allowed_motion(l, k, abs(l - k) <= 1); + tracker->set_allowed_motion(l, k, abs(l - k) <= motion_amplitude); } + tracker->set_as_entrance(0, 1); + tracker->set_as_exit(nb_locations - 1, 1); } - for(int r = 0; r < 10; r++) { + tracker->build_graph(); + + // We repeat several times the same tracking to check how stable it + // is + + for(int r = 0; r < 1; r++) { 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++) { - tracker->set_detection_score(t, l, - (drand48() < 0.9 ? -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, 0, - (drand48() < 0.9 ? 1.0 : -1.0) + drand48() * 0.1 - 0.05); + tracker->set_detection_score(t, nb_locations/2, detection_score(1, 0.95)); } - tracker->build_graph(); 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); }