diff --git a/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/README.md b/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/README.md
index dfa83df9155133b7111fd6236d773b6fe1afa8cc..48aecc6bc00b4e3b7bc4f486063b76fb8b77b20f 100644
--- a/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/README.md
+++ b/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/README.md
@@ -21,7 +21,7 @@ Before starting, please pay attention to the following adaptation conditions. If
 
 ```shell
 git clone https://gitee.com/ascend/ModelZoo-TensorFlow.git
-cd Modelzoo-TensorFlow/ACL_TensorFlow/built-in/cv/MobileNetv1_ID0093_for_ACL
+cd Modelzoo-TensorFlow/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL
 ```
 
 ### 2. Download and preprocess the dataset
@@ -57,7 +57,7 @@ The jpegs pictures will be preprocessed to bin fils.
 - convert pb to om
 
   ```
-  atc --model=mobilenetv1_tf.pb --framework=3 --output=mobilenetv1_tf_1batch --output_type=FP32 --soc_version=Ascend310 --input_shape="input:1,224,224,3" --log=info
+  atc --model=mobilenetv1_tf.pb --framework=3 --output=mobilenetv1_tf_1batch --output_type=FP32 --soc_version=Ascend310 --input_shape="input:1,224,224,3" --log=info --insert_op_conf=mobilenetv1_tf_aipp.cfg --enable_small_channle=1
   ```
 
 - Build the program
diff --git a/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/mobilenetv1_tf_aipp.cfg b/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/mobilenetv1_tf_aipp.cfg
new file mode 100644
index 0000000000000000000000000000000000000000..e9faee8059dbb043377791dde9216bfe3936ec01
--- /dev/null
+++ b/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/mobilenetv1_tf_aipp.cfg
@@ -0,0 +1,14 @@
+aipp_op {
+    aipp_mode: static
+    input_format : RGB888_U8
+    src_image_size_w : 224
+    src_image_size_h : 224
+    mean_chn_0 : 128
+    mean_chn_1 : 128
+    mean_chn_2 : 128
+    var_reci_chn_0 : 0.00781
+    var_reci_chn_1 : 0.00781
+    var_reci_chn_2 : 0.00781
+}
+
+
diff --git a/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/scripts/mobilenetv1_preprocessing.py b/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/scripts/mobilenetv1_preprocessing.py
index aa683b57c8724fd97a462d9036fa032b84181e05..1399b4dd8f6e73729fc5f73e50ff9f76c00444e8 100644
--- a/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/scripts/mobilenetv1_preprocessing.py
+++ b/ACL_TensorFlow/built-in/cv/MobileNetv1_for_ACL/scripts/mobilenetv1_preprocessing.py
@@ -372,6 +372,8 @@ def preprocess(src_path, save_path):
     in_files = os.listdir(src_path)
     in_files.sort()
     resize_shape = [224, 224, 3]
+    sqz_mean = np.array([127.5, 127.5, 127.5], np.float32)
+    img_std = np.array([[0.5*255, 0.5*255, 0.5*255]], np.float32)
     if os.path.isdir(save_path):
         shutil.rmtree(save_path)
         os.makedirs(save_path)
@@ -387,6 +389,9 @@ def preprocess(src_path, save_path):
                                        is_training=False,
                                        use_grayscale=False)
                 img = img.eval()
+                img = img * img_std
+                img = img + sqz_mean
+                img = img.astype(np.uint8, copy=False)
                 img.tofile(os.path.join(save_path, file.split('.')[0]+".bin"))
                 tf.reset_default_graph()