in utils/evaluate.py [0:0]
def compute_error(pred, gt):
    """Compute error
    Arguments:
        pred {np.ndarray} -- format (N x 3)
        gt {np.ndarray} -- format (N x 3)
    Returns:
        float -- error
    """
    if pred.shape[1] != 3:
        pred = np.transpose(pred, [1, 0])
    if gt.shape[1] != 3:
        gt = np.transpose(gt, [1, 0])
    assert pred.shape == gt.shape
    error = np.sqrt(np.sum((pred - gt)**2, axis=1))
    return np.mean(error)