#include <iostream>
#include <fstream>
+#include <stdlib.h>
using namespace std;
scalar_t noisy_score(scalar_t true_score, scalar_t erroneous_score,
scalar_t score_noise, scalar_t flip_noise) {
if(drand48() < flip_noise) {
- return erroneous_score + score_noise * (2.0 * drand48() - 1.0);
+ return erroneous_score + score_noise * (2.0f * scalar_t(drand48()) - 1.0f);
} else {
- return true_score + score_noise * (2.0 * drand48() - 1.0);
+ return true_score + score_noise * (2.0f * scalar_t(drand48()) - 1.0f);
}
}
// any location less than motion_amplitude away, entrance at
// location 0 (or in the first time frame, i.e. targets can already
// be in the scene when the sequence starts) and exit at location
- // nb_locations-1 (or from the last time frame, i.e. target can
+ // nb_locations-1 (or from the last time frame, i.e. targets can
// still be present when the sequence finishes)
for(int l = 0; l < nb_locations; l++) {
for(int m = 0; m < nb_locations; m++) {
- tracker->allowed_motion[l][m] = abs(l - m) <= motion_amplitude;
+ tracker->allowed_motions[l][m] = abs(l - m) <= motion_amplitude;
}
}
// 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;
+ scalar_t flip_noise = 0.05f;
+ scalar_t score_noise = 0.0f;
// We first put a background noise, with negative scores at every
// location.
<< " starting at " << tracker->trajectory_entrance_time(t)
<< ", duration " << tracker->trajectory_duration(t)
<< ", score " << tracker->trajectory_score(t)
- << ", through nodes ";
+ << ", through locations";
for(int u = 0; u < tracker->trajectory_duration(t); u++) {
cout << " " << tracker->trajectory_location(t, u);
}