diff --git a/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/README.md b/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/README.md
index 2fa57cf9cc7d23df49f9ebdb582f93a62954fe3d..1d3489f2bfd1de22728b980c97994d17a2bfa477 100644
--- a/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/README.md
+++ b/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/README.md
@@ -66,7 +66,7 @@ The jpegs pictures will be preprocessed to bin fils.
   [pb download link](https://modelzoo-train-atc.obs.cn-north-4.myhuaweicloud.com/003_Atc_Models/modelzoo/resnet18_tf.pb)
 
   ```
-  atc --model=resnet18_tf.pb --framework=3 --output=resnet18_tf_1batch --output_type=FP32 --soc_version=Ascend310 --input_shape="test_inputs:1,64,64,3" --log=info
+  atc --model=resnet18_tf.pb --framework=3 --output=resnet18_tf_1batch --output_type=FP32 --soc_version=Ascend310 --input_shape="test_inputs:1,64,64,3" --log=info --insert_op_conf=resnet18_tf_aipp.cfg --enable_small_channel=1
   ```
 
 - Build the program
diff --git a/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/resnet18_tf_aipp.cfg b/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/resnet18_tf_aipp.cfg
new file mode 100644
index 0000000000000000000000000000000000000000..2e142c2b352a1e1947857b729b48033993de7de9
--- /dev/null
+++ b/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/resnet18_tf_aipp.cfg
@@ -0,0 +1,14 @@
+aipp_op {
+    aipp_mode: static
+    input_format : RGB888_U8
+    src_image_size_w : 64
+    src_image_size_h : 64
+    mean_chn_0 : 112
+    mean_chn_1 : 112
+    mean_chn_2 : 112
+    var_reci_chn_0 : 0.014285
+    var_reci_chn_1 : 0.014285
+    var_reci_chn_2 : 0.014285
+}
+
+
diff --git a/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/scripts/imagenet_tiny_preprocessing.py b/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/scripts/imagenet_tiny_preprocessing.py
index ed308f480e1f57ea64a9845d46298a0b6f50f7fe..99c00393dc881bd271073ec8aea9ce595225d59b 100644
--- a/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/scripts/imagenet_tiny_preprocessing.py
+++ b/ACL_TensorFlow/built-in/cv/Resnet18_for_ACL/scripts/imagenet_tiny_preprocessing.py
@@ -180,7 +180,8 @@ if __name__ == "__main__":
     output_dir = "./input_bins/"
     if not os.path.isdir(output_dir):
         os.mkdir(output_dir)
-
+    sqz_mean = np.array([112, 112, 112], np.float32)
+    img_std = np.array([[70, 70, 70]], np.float32)
     train_x, train_y, test_x, test_y = load_tiny()
 
     with open('./imagenet_tiny_label.txt','w') as f:
@@ -188,6 +189,9 @@ if __name__ == "__main__":
             print('start to process image: {}'.format(i))
             index = i
             image = test_x[i]
+            image = image * img_std
+            image = image + sqz_mean
+            image = image.astype(np.uint8, copy=False)
             image.tofile(os.path.join(output_dir,'val_{}.bin'.format(index)))
             label = test_y[i]
             f.write('val_{}.JPEG {}\n'.format(index, np.argmax(label)))
diff --git a/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/README.md b/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/README.md
index 22131189dc8b6e525bf502d03fa33e28d8216763..2e3d741d5503bd19e71b33478866d1137fbc6aa8 100644
--- a/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/README.md
+++ b/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/README.md
@@ -66,7 +66,7 @@ The jpegs pictures will be preprocessed to bin fils.
   [pb download link](https://modelzoo-train-atc.obs.cn-north-4.myhuaweicloud.com/003_Atc_Models/modelzoo/resnet34_tf.pb)
 
   ```
-  atc --model=resnet34_tf.pb --framework=3 --output=resnet34_tf_1batch --output_type=FP32 --soc_version=Ascend310 --input_shape="test_inputs:1,64,64,3" --log=info
+  atc --model=resnet34_tf.pb --framework=3 --output=resnet34_tf_1batch --output_type=FP32 --soc_version=Ascend310 --input_shape="test_inputs:1,64,64,3" --log=info --insert_op_conf=resnet34_tf_aipp.cfg --enable_small_channel=1
   ```
 
 - Build the program
diff --git a/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/resnet34_tf_aipp.cfg b/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/resnet34_tf_aipp.cfg
new file mode 100644
index 0000000000000000000000000000000000000000..2e142c2b352a1e1947857b729b48033993de7de9
--- /dev/null
+++ b/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/resnet34_tf_aipp.cfg
@@ -0,0 +1,14 @@
+aipp_op {
+    aipp_mode: static
+    input_format : RGB888_U8
+    src_image_size_w : 64
+    src_image_size_h : 64
+    mean_chn_0 : 112
+    mean_chn_1 : 112
+    mean_chn_2 : 112
+    var_reci_chn_0 : 0.014285
+    var_reci_chn_1 : 0.014285
+    var_reci_chn_2 : 0.014285
+}
+
+
diff --git a/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/scripts/imagenet_tiny_preprocessing.py b/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/scripts/imagenet_tiny_preprocessing.py
index ed308f480e1f57ea64a9845d46298a0b6f50f7fe..99c00393dc881bd271073ec8aea9ce595225d59b 100644
--- a/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/scripts/imagenet_tiny_preprocessing.py
+++ b/ACL_TensorFlow/built-in/cv/Resnet34_for_ACL/scripts/imagenet_tiny_preprocessing.py
@@ -180,7 +180,8 @@ if __name__ == "__main__":
     output_dir = "./input_bins/"
     if not os.path.isdir(output_dir):
         os.mkdir(output_dir)
-
+    sqz_mean = np.array([112, 112, 112], np.float32)
+    img_std = np.array([[70, 70, 70]], np.float32)
     train_x, train_y, test_x, test_y = load_tiny()
 
     with open('./imagenet_tiny_label.txt','w') as f:
@@ -188,6 +189,9 @@ if __name__ == "__main__":
             print('start to process image: {}'.format(i))
             index = i
             image = test_x[i]
+            image = image * img_std
+            image = image + sqz_mean
+            image = image.astype(np.uint8, copy=False)
             image.tofile(os.path.join(output_dir,'val_{}.bin'.format(index)))
             label = test_y[i]
             f.write('val_{}.JPEG {}\n'.format(index, np.argmax(label)))