def match_obj_to_kalmanized_obj(h5source, original_obj_id, kalmanizedsource=None):
original_trajectory = ffa.load_trajectory(source=h5source, obj=original_obj_id)
if kalmanizedsource == None:
kalmanizedsource = h5source
kalmanizedsource = kalmanizedsource.rstrip('.h5')
kalmanizedsource = kalmanizedsource + '.kalmanized.h5'
if kalmanizedsource.__class__ is not ffa.Dataset:
dataset = ffa.Dataset()
dataset.load_data(kalmanizedsource,kalman_smoothing = True)
else:
dataset = kalmanizedsource
best_match = find_match(original_trajectory, dataset)
return best_match
def send_trajectory_to_player(source, obj, num, fps):
trajectory = ffa.load_trajectory(source, obj, num)
trajectoryplayer = TrajectoryPlayer(trajectory, fps=fps)
return trajectoryplayer
