code: def read_IJB_meta_columns_to_int(
      file_path, columns, sep=" ", skiprows=0, header=None
  ):
      # meta = np.loadtxt(file_path, skiprows=skiprows, delimiter=sep)
      meta = pd.read_csv(
          file_path, sep=sep, skiprows=skiprows, header=header
      ).values
      return (meta[:, ii].astype("int") for ii in columns)
  
imports: import os
  import cv2
  import numpy
  import pandas
  from tqdm import tqdm
  from skimage import transform
  from sklearn.preprocessing import normalize
  from sklearn.metrics import roc_curve, auc
label_desc: Use image node_id 3 for calling a global function with example usage: read_IJB_meta_columns_to_int(file_path, columns, sep, skiprows, header) and returns: unknown