def pick_manual(image_sequence, imu_gyro, num_sequences=2):
    """Select N matching sequences and return data indices.
    
    Parameters
    ---------------
    image_sequence : list_like
            A list, or generator, of image data
    imu_gyro : (3, N) ndarray
            Gyroscope data (angular velocities)
    num_sequences : int
            The number of matching sequences to pick
    
    Returns
    ----------------
    sync_sequences : list
            List of (frame_pair, gyro_pair) tuples where each pair contains
            (a, b) which are indices of the (inclusive) range [a, b] that was chosen
    """
    assert num_sequences >= 2    
    # Create optical flow for user to select parts in
    logger.info("Calculating optical flow")
    flow = tracking.optical_flow_magnitude(image_sequence)
    
    # ) Prompt user for sync slices
    logger.debug("Prompting user for %d sequences" % num_sequences)
    imu_fake_timestamps = np.linspace(0,1,num=imu_gyro.shape[1])
    sync_sequences = [timesync.manual_sync_pick(flow, imu_fake_timestamps, imu_gyro) for i in range(num_sequences)]

    return sync_sequences
def pick_manual ( image_sequence , imu_gyro , num_sequences = 2 ) : assert num_sequences >= 2 logger . info ( "Calculating optical flow" ) flow = tracking . optical_flow_magnitude ( image_sequence ) logger . debug ( "Prompting user for %d sequences" % num_sequences ) imu_fake_timestamps = np . linspace ( 0 , 1 , num = imu_gyro . shape [ 1 ] ) sync_sequences = [ timesync . manual_sync_pick ( flow , imu_fake_timestamps , imu_gyro ) for i in range ( num_sequences ) ] return sync_sequences
Select N matching sequences and return data indices.
    
    Parameters
    ---------------
    image_sequence : list_like
            A list, or generator, of image data
    imu_gyro : (3, N) ndarray
            Gyroscope data (angular velocities)
    num_sequences : int
            The number of matching sequences to pick
    
    Returns
    ----------------
    sync_sequences : list
            List of (frame_pair, gyro_pair) tuples where each pair contains
            (a, b) which are indices of the (inclusive) range [a, b] that was chosen