diff --git a/util/image_util.py b/util/image_util.py
index 48cf32d..2fb5d0b 100644
--- a/util/image_util.py
+++ b/util/image_util.py
@@ -5,7 +5,6 @@ import os
 import cv2
 import numpy
 import requests
-from paddleclas import PaddleClas
 from tenacity import retry, stop_after_attempt, wait_random
 
 from log import PROJECT_ROOT
@@ -67,23 +66,23 @@ def split(img_path, ratio=1.414, overlap=0.05, x_compensation=3):
     return split_result
 
 
-def parse_rotation_angles(image):
-    """
-    判断图片旋转角度，逆时针旋转该角度后为正。可能值['0', '90', '180', '270']
-    :param image: 图片NumPy数组或文件路径
-    :return: 最有可能的两个角度
-    """
-    angles = ['0', '90']
-    model = PaddleClas(model_name='text_image_orientation')
-    clas_result = model.predict(input_data=image)
-    try:
-        clas_result = next(clas_result)[0]
-        if clas_result['scores'][0] < 0.5:
-            return angles
-        angles = clas_result['label_names']
-    except Exception as e:
-        logging.error('获取图片旋转角度失败', exc_info=e)
-    return angles
+# def parse_rotation_angles(image):
+#     """
+#     判断图片旋转角度，逆时针旋转该角度后为正。可能值['0', '90', '180', '270']
+#     :param image: 图片NumPy数组或文件路径
+#     :return: 最有可能的两个角度
+#     """
+#     angles = ['0', '90']
+#     model = PaddleClas(model_name='text_image_orientation')
+#     clas_result = model.predict(input_data=image)
+#     try:
+#         clas_result = next(clas_result)[0]
+#         if clas_result['scores'][0] < 0.5:
+#             return angles
+#         angles = clas_result['label_names']
+#     except Exception as e:
+#         logging.error('获取图片旋转角度失败', exc_info=e)
+#     return angles
 
 
 def rotate(img_path, angle):