--- a
+++ b/drunet/utils.py
@@ -0,0 +1,64 @@
+import os
+import time
+import math
+import pathlib
+from functools import reduce
+from collections import Counter
+
+import cv2 as cv
+import numpy as np
+import pandas as pd
+from tqdm import tqdm
+import matplotlib.pyplot as plt
+
+
+def get_path(file_dir):
+    path_list = []
+    name_list = []
+    for path in pathlib.Path(file_dir).iterdir():
+        path_list.append(str(path))
+        name_list.append(path.name)
+    path_list = sorted(path_list, key=lambda path_: int(pathlib.Path(path_).stem))
+    name_list = sorted(name_list, key=lambda path_: int(pathlib.Path(path_).stem))
+    return path_list, name_list
+
+
+def check_file(paths):
+    if type(paths) is not list:
+        paths = [paths]
+    for path in paths:
+        if not os.path.exists(path):
+            os.makedirs(path)
+    return
+
+
+def list_file(dir_path):
+    paths = []
+    for path in pathlib.Path(dir_path).iterdir():
+        paths.append(str(path))
+    return paths
+
+
+def crop_image(read_dir, save_dir, o_w, o_h, r_w, r_h, split=False):
+    if not os.path.exists(save_dir):
+        os.makedirs(save_dir)
+
+    # Crop large images into small images
+    i = 0
+    file_paths_list = get_file_path(read_dir)
+    for file_path in file_paths_list:
+        for row in range(o_h // r_h):
+            for col in range(o_w // r_w):
+                img = cv.imread(file_path)
+                cropped = img[row * r_h: (row + 1) * r_h, col * r_w: (col + 1) * r_w, :]
+
+                if split:
+                    save_path = os.path.join(save_dir, str(pathlib.Path(file_path).stem))
+                    if not os.path.exists(save_path):
+                        os.makedirs(save_path)
+                    cv.imwrite(os.path.join(save_path, '{}.jpg'.format(i)), cropped)
+                else:
+                    cv.imwrite(os.path.join(save_dir, '{}.jpg'.format(i)), cropped)
+                i += 1
+    print('Cropped image is complete!')
+    return