diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 5a750a0aef715e1c89d6dfe7de51f41b8918950f..6c881969b76d907ca804b0e73a0dc913c56d2bee 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -35,6 +35,6 @@
     -   id: cpplint-cpp-source
         name: cpplint
         description: Check C++ code style using cpplint.py.
-        entry: bash cpplint_pre_commit.hook
+        entry: bash ./tools/codestyle/cpplint_pre_commit.hook
         language: system
         files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx)$
diff --git a/deploy/cpp/include/paddlex/results.h b/deploy/cpp/include/paddlex/results.h
index de90c4a85130f42c0201f0d671fd3e2d53b0f37d..1643c9249e8e8e993017c7702d1d490352c2d9a8 100644
--- a/deploy/cpp/include/paddlex/results.h
+++ b/deploy/cpp/include/paddlex/results.h
@@ -63,9 +63,10 @@ class SegResult : public BaseResult {
  public:
   Mask<int64_t> label_map;
   Mask<float> score_map;
+  std::string type = "seg";
   void clear() {
     label_map.clear();
     score_map.clear();
   }
 };
-}  // namespce of PaddleX
+}  // namespace PaddleX
diff --git a/deploy/lite/export_lite.py b/deploy/lite/export_lite.py
index b56aee9ee803b943473178b67f38c0f8d41a00da..0286d8733868dfbbaceadbfcf7d6728e367341df 100644
--- a/deploy/lite/export_lite.py
+++ b/deploy/lite/export_lite.py
@@ -19,30 +19,30 @@ import argparse
 
 def export_lite():
     opt = lite.Opt()
-    model_file = os.path.join(FLAGS.model_path, '__model__')
-    params_file = os.path.join(FLAGS.model_path, '__params__')
-    opt.run_optimize("", model_file, params_file, FLAGS.place, FLAGS.save_dir)
+    model_file = os.path.join(FLAGS.model_dir, '__model__')
+    params_file = os.path.join(FLAGS.model_dir, '__params__')
+    opt.run_optimize("", model_file, params_file, FLAGS.place, FLAGS.save_file)
 
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser(description=__doc__)
     parser.add_argument(
-        "--model_path",
+        "--model_dir",
         type=str,
         default="",
-        help="model path.",
+        help="path of '__model__' and '__params__'.",
         required=True)
     parser.add_argument(
         "--place",
         type=str,
         default="arm",
-        help="preprocess config path.",
+        help="run place: 'arm|opencl|x86|npu|xpu|rknpu|apu'.",
         required=True)
     parser.add_argument(
-        "--save_dir",
+        "--save_file",
         type=str,
         default="paddlex.onnx",
-        help="Directory for storing the output visualization files.",
+        help="file name for storing the output files.",
         required=True)
     FLAGS = parser.parse_args()
     export_lite()
diff --git a/docs/tutorials/deploy/deploy_lite.md b/docs/tutorials/deploy/deploy_lite.md
index 0c4b1ec3600a90f8d112f0bf2487a2ee063b74fb..5419aed636545b95e9f98fdd45109592b7a6d9d6 100644
--- a/docs/tutorials/deploy/deploy_lite.md
+++ b/docs/tutorials/deploy/deploy_lite.md
@@ -1,5 +1,12 @@
 # 移动端部署
 
+PaddleX的移动端部署由PaddleLite实现，部署的流程如下，首先将训练好的模型导出为inference model，然后使用PaddleLite的python接口对模型进行优化，最后使用PaddleLite的预测库进行部署，
+PaddleLite的详细介绍和使用可参考：[PaddleLite文档](https://paddle-lite.readthedocs.io/zh/latest/)
+
+> PaddleX --> Inference Model --> PaddleLite Opt --> PaddleLite Inference
+
+以下介绍如何将PaddleX导出为inference model，然后使用PaddleLite的OPT模块对模型进行优化：
+
 step 1: 安装PaddleLite
 
 ```
@@ -9,15 +16,21 @@ pip install paddlelite
 step 2: 将PaddleX模型导出为inference模型
 
 参考[导出inference模型](deploy_server/deploy_python.html#inference)将模型导出为inference格式模型。
-**注意：由于PaddleX代码的持续更新，版本低于1.0.0的模型暂时无法直接用于预测部署，参考[模型版本升级](../upgrade_version.md)对模型版本进行升级。**
+**注意：由于PaddleX代码的持续更新，版本低于1.0.0的模型暂时无法直接用于预测部署，参考[模型版本升级](./upgrade_version.md)对模型版本进行升级。**
 
 step 3: 将inference模型转换成PaddleLite模型
 
 ```
-python /path/to/PaddleX/deploy/lite/export_lite.py --model_path /path/to/inference_model --save_dir /path/to/onnx_model
+python /path/to/PaddleX/deploy/lite/export_lite.py --model_dir /path/to/inference_model --save_file /path/to/onnx_model --place place/to/run
+
 ```
 
-`--model_path`用于指定inference模型的路径，`--save_dir`用于指定Lite模型的保存路径。
+|  参数   | 说明  |
+|  ----  | ----  |
+| model_dir  | 预测模型所在路径，包含"__model__", "__params__"文件 |
+| save_file  | 模型输出的名称，默认为"paddlex.nb" |
+| place  | 运行的平台，可选：arm|opencl|x86|npu|xpu|rknpu|apu |
+
 
 step 4: 预测
 
diff --git a/tools/codestyle/clang_format.hook b/tools/codestyle/clang_format.hook
new file mode 100755
index 0000000000000000000000000000000000000000..1d928216867c0ba3897d71542fea44debf8d72a0
--- /dev/null
+++ b/tools/codestyle/clang_format.hook
@@ -0,0 +1,15 @@
+#!/bin/bash
+set -e
+
+readonly VERSION="3.8"
+
+version=$(clang-format -version)
+
+if ! [[ $version == *"$VERSION"* ]]; then
+    echo "clang-format version check failed."
+    echo "a version contains '$VERSION' is needed, but get '$version'"
+    echo "you can install the right version, and make an soft-link to '\$PATH' env"
+    exit -1
+fi
+
+clang-format $@
diff --git a/tools/codestyle/cpplint_pre_commit.hook b/tools/codestyle/cpplint_pre_commit.hook
new file mode 100755
index 0000000000000000000000000000000000000000..630aeb8caaf88139fe8efae5c1f7e27f258d25c1
--- /dev/null
+++ b/tools/codestyle/cpplint_pre_commit.hook
@@ -0,0 +1,27 @@
+#!/bin/bash
+
+TOTAL_ERRORS=0
+if [[ ! $TRAVIS_BRANCH ]]; then
+  # install cpplint on local machine.
+  if [[ ! $(which cpplint) ]]; then
+    pip install cpplint
+  fi
+  # diff files on local machine. 
+  files=$(git diff --cached --name-status | awk '$1 != "D" {print $2}')
+else
+  # diff files between PR and latest commit on Travis CI. 
+  branch_ref=$(git rev-parse "$TRAVIS_BRANCH")
+  head_ref=$(git rev-parse HEAD)
+  files=$(git diff --name-status $branch_ref $head_ref | awk '$1 != "D" {print $2}')
+fi
+# The trick to remove deleted files: https://stackoverflow.com/a/2413151
+for file in $files; do
+    if [[ $file =~ ^(patches/.*) ]]; then
+        continue;
+    else
+        cpplint --filter=-readability/fn_size $file;
+        TOTAL_ERRORS=$(expr $TOTAL_ERRORS + $?);
+    fi
+done
+
+exit $TOTAL_ERRORS