示例#1
0
def merge_all_trajectories(ts):
    return load_data.session(trajectories=[a.trajectories for a in ts],
                             timestamps=[a.timestamps for a in ts],
                             slices=[a.slices for a in ts],
                             video=[a.video for a in ts],
                             speeds=[a.speeds for a in ts],
                             labels=[a.labels for a in ts],
                             steps=[a.steps for a in ts],
                             slips=[a.slips for a in ts])
示例#2
0
def revert_experiment_structure(experiment):
    return load_data.session(
        trajectories=[[s.trajectories for s in a] for a in experiment],
        timestamps=[[s.timestamps for s in a] for a in experiment],
        slices=[[s.slices for s in a] for a in experiment],
        videos=[[s.videos for s in a] for a in experiment],
        speeds=[[s.speeds for s in a] for a in experiment],
        labels=[[s.labels for s in a] for a in experiment],
        steps=[[s.steps for s in a] for a in experiment])
示例#3
0
def update_trajectory_structure(t):
    return [[
        load_data.session(trajectories=t.trajectories[i][j],
                          time=t.timestamps[i][j],
                          slices=t.slices[i][j],
                          video=t.videos[i][j],
                          speeds=t.speeds[i][j],
                          labels=t.labels[i][j],
                          steps=t.steps[i][j],
                          slips=t.slips[i][j]) for j, s in enumerate(a)
    ] for i, a in enumerate(t.trajectories)]
示例#4
0
def remap_experiment_structure(experiment):
    return [[
        load_data.session(trajectories=s.trajectories,
                          time=s.time,
                          slices=s.slices,
                          video=s.video,
                          speeds=s.speeds,
                          labels=s.labels,
                          steps=s.steps,
                          slips=s.slips) for s in a
    ] for a in experiment]
示例#5
0
def build_raw_trajectories(datafolder):
    trajectories = load_trajectories(datafolder)
    timestamps = load_trajectory_timestamps(datafolder)
    slices = [clump_trajectories(t) for t in trajectories]
    videos = get_trajectory_videos(datafolder)
    speeds = get_speeds(trajectories, slices)
    trajectory_structure = zip(trajectories, slices, video)
    save_trajectory_labels(trajectory_structure)
    save_trajectory_slices(trajectory_structure)
    datafolders = [
        os.path.join(datafolder, folder) for folder in os.listdir(datafolder)
    ]
    shuttling_analysis.analysis_pipeline(datafolders, False)
    labels = load_all_trajectory_labels(datafolder)
    steps = procsteps.load_stepactivities(datafolder)
    slips = load_slips(datafolder)
    return load_data.session(trajectories=trajectories,
                             timestamps=timestamps,
                             slices=slices,
                             videos=videos,
                             speeds=speeds,
                             labels=labels,
                             steps=steps,
                             slips=slips)