diff --git a/python/examples/imagenet/README.md b/python/examples/imagenet/README.md
index 536440e73ea43f55a4c93bf126d62e86aa3983e6..415818e715e22e97399c710a61f2463fd166bd19 100644
--- a/python/examples/imagenet/README.md
+++ b/python/examples/imagenet/README.md
@@ -44,6 +44,6 @@ python -m paddle_serving_server_gpu.serve --model ResNet50_vd_model --port 9696
 
 client send inference request
 ```
-python image_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
+python resnet50_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
 ```
 *the port of server side in this example is 9696
diff --git a/python/examples/imagenet/README_CN.md b/python/examples/imagenet/README_CN.md
index c34ccca32b737467e687dfd5e86c3229f4339075..77ade579ba17ad8247b2f118242642a1d3c79927 100644
--- a/python/examples/imagenet/README_CN.md
+++ b/python/examples/imagenet/README_CN.md
@@ -44,6 +44,6 @@ python -m paddle_serving_server_gpu.serve --model ResNet50_vd_model --port 9696
 
 client端进行预测
 ```
-python image_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
+python resnet50_rpc_client.py ResNet50_vd_client_config/serving_client_conf.prototxt
 ```
 *server端示例中服务端口为9696端口
diff --git a/python/paddle_serving_app/reader/image_reader.py b/python/paddle_serving_app/reader/image_reader.py
index a5afb9c84743fe401ab62608b7b38b5ccd6623ae..7988bf447b5a0a075171d93d22dd1933aa8532b8 100644
--- a/python/paddle_serving_app/reader/image_reader.py
+++ b/python/paddle_serving_app/reader/image_reader.py
@@ -13,14 +13,19 @@
 # limitations under the License.
 import cv2
 import os
-import urllib
 import numpy as np
 import base64
+import sys
 from . import functional as F
 from PIL import Image, ImageDraw
 import json
 
 _cv2_interpolation_to_str = {cv2.INTER_LINEAR: "cv2.INTER_LINEAR", None: "None"}
+py_version = sys.version_info[0]
+if py_version == 2:
+    import urllib
+else:
+    import urllib.request as urllib
 
 
 def generate_colormap(num_classes):
@@ -393,7 +398,7 @@ class Normalize(object):
 
 class Lambda(object):
     """Apply a user-defined lambda as a transform.
-       Very shame to just copy from 
+       Very shame to just copy from
        https://github.com/pytorch/vision/blob/master/torchvision/transforms/transforms.py#L301
 
     Args: