diff --git a/python/examples/faster_rcnn_model/new_test_client.py b/python/examples/faster_rcnn_model/new_test_client.py
index 283df71689107983f98833af244181ad1be7f99c..eeded665296a98c710d799f0bac447061dc234c6 100755
--- a/python/examples/faster_rcnn_model/new_test_client.py
+++ b/python/examples/faster_rcnn_model/new_test_client.py
@@ -13,10 +13,7 @@
 # limitations under the License.
 
 from paddle_serving_client import Client
-import sys
-from paddle_serving_app.reader.pddet import Detection
-from paddle_serving_app.reader import File2Image, Sequential, Normalize, Resize, Transpose, Div, BGR2RGB, RCNNPostprocess
-import numpy as np
+from paddle_serving_app.reader import *
 
 preprocess = Sequential([
     File2Image(), BGR2RGB(), Div(255.0),
@@ -30,14 +27,8 @@ client = Client()
 client.load_client_config(sys.argv[1])
 client.connect(['127.0.0.1:9393'])
 
-for i in range(100):
-    im = preprocess(sys.argv[2])
-    fetch_map = client.predict(
-        feed={
-            "image": im,
-            "im_info": np.array(list(im.shape[1:]) + [1.0]),
-            "im_shape": np.array(list(im.shape[1:]) + [1.0])
-        },
-        fetch=["multiclass_nms"])
-    fetch_map["image"] = sys.argv[2]
-    postprocess(fetch_map)
+im = preprocess(sys.argv[2])
+fetch_map = client.predict(feed={"image": im, "im_info": np.array(list(im.shape[1:]) + [1.0]),
+                                 "im_shape": np.array(list(im.shape[1:]) + [1.0])}, fetch=["multiclass_nms"])
+fetch_map["image"] = sys.argv[2]
+postprocess(fetch_map)