meas_list_lidar, frame.laser_labels,
valid_label_flags, image, camera,
configs_det)
if 'make_tracking_movie' in exec_list:
# save track plots to file
fname = results_fullpath + '/tracking%03d.png' % cnt_frame
print('Saving frame', fname)
fig.savefig(fname)
# increment frame counter
cnt_frame = cnt_frame + 1
except StopIteration:
# if StopIteration is raised, break from loop
print("StopIteration has been raised\n")
break
#################################
## Post-processing
## Evaluate object detection performance
if 'show_detection_performance' in exec_list:
eval.compute_performance_stats(det_performance_all)
## Plot RMSE for all tracks
if 'show_tracks' in exec_list:
plot_rmse(manager, all_labels)
## Make movie from tracking results
if 'make_tracking_movie' in exec_list:
make_movie(results_fullpath)
valid_label_flags, image, camera,
configs_det)
if 'make_tracking_movie' in exec_list:
# save track plots to file
fname = results_fullpath + '/tracking%03d.png' % cnt_frame
print('Saving frame', fname)
fig.savefig(fname)
# increment frame counter
cnt_frame = cnt_frame + 1
except StopIteration:
# if StopIteration is raised, break from loop
print("StopIteration has been raised\n")
break
#################################
## Post-processing
## Evaluate object detection performance
if 'show_detection_performance' in exec_list:
eval.compute_performance_stats(det_performance_all, configs_det)
## Plot RMSE for all tracks
if 'show_tracks' in exec_list:
plot_rmse(manager, all_labels, configs_det)
## Make movie from tracking results
if 'make_tracking_movie' in exec_list:
make_movie(results_fullpath)
