diff --git a/deploy/openvino/demo/classifier.cpp b/deploy/openvino/demo/classifier.cpp
index 5b5b3c387489749704901ef004608cfafe1103a8..2b5c17f08840afda69f48afd8e20018effd6a618 100755
--- a/deploy/openvino/demo/classifier.cpp
+++ b/deploy/openvino/demo/classifier.cpp
@@ -22,7 +22,7 @@
 #include "include/paddlex/paddlex.h"
 
 DEFINE_string(model_dir, "", "Path of inference model");
-DEFINE_string(cfg_dir, "", "Path of PaddelX model yml file");
+DEFINE_string(cfg_file, "", "Path of PaddelX model yml file");
 DEFINE_string(device, "CPU", "Device name");
 DEFINE_string(image, "", "Path of test image file");
 DEFINE_string(image_list, "", "Path of test image list file");
@@ -35,8 +35,8 @@ int main(int argc, char** argv) {
     std::cerr << "--model_dir need to be defined" << std::endl;
     return -1;
   }
-  if (FLAGS_cfg_dir == "") {
-    std::cerr << "--cfg_dir need to be defined" << std::endl;
+  if (FLAGS_cfg_file == "") {
+    std::cerr << "--cfg_file need to be defined" << std::endl;
     return -1;
   }
   if (FLAGS_image == "" & FLAGS_image_list == "") {
@@ -46,7 +46,7 @@ int main(int argc, char** argv) {
 
   // 加载模型
   PaddleX::Model model;
-  model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_device);
+  model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_device);
 
   // 进行预测
   if (FLAGS_image_list != "") {
diff --git a/deploy/openvino/demo/detector.cpp b/deploy/openvino/demo/detector.cpp
index a1a4db7a42dcbadfca157d0a0c0da3a9805b420e..dd68fa8b9348840fa1fccf54d9b8aff9b9d56bbf 100644
--- a/deploy/openvino/demo/detector.cpp
+++ b/deploy/openvino/demo/detector.cpp
@@ -29,7 +29,7 @@
 using namespace std::chrono;  // NOLINT
 
 DEFINE_string(model_dir, "", "Path of openvino model xml file");
-DEFINE_string(cfg_dir, "", "Path of PaddleX model yaml file");
+DEFINE_string(cfg_file, "", "Path of PaddleX model yaml file");
 DEFINE_string(image, "", "Path of test image file");
 DEFINE_string(image_list, "", "Path of test image list file");
 DEFINE_string(device, "CPU", "Device name");
@@ -45,8 +45,8 @@ int main(int argc, char** argv) {
     std::cerr << "--model_dir need to be defined" << std::endl;
     return -1;
   }
-  if (FLAGS_cfg_dir == "") {
-    std::cerr << "--cfg_dir need to be defined" << std::endl;
+  if (FLAGS_cfg_file == "") {
+    std::cerr << "--cfg_file need to be defined" << std::endl;
     return -1;
   }
   if (FLAGS_image == "" & FLAGS_image_list == "") {
@@ -56,7 +56,7 @@ int main(int argc, char** argv) {
 
   //
   PaddleX::Model model;
-  model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_device);
+  model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_device);
 
   int imgs = 1;
   auto colormap = PaddleX::GenerateColorMap(model.labels.size());
diff --git a/deploy/openvino/demo/segmenter.cpp b/deploy/openvino/demo/segmenter.cpp
index f612e756a0e3113441d619883ee451cc46a1b9c9..37a8538bea16ebf1a3a9014a66fe26c1f66ad78b 100644
--- a/deploy/openvino/demo/segmenter.cpp
+++ b/deploy/openvino/demo/segmenter.cpp
@@ -25,7 +25,7 @@
 
 
 DEFINE_string(model_dir, "", "Path of openvino model xml file");
-DEFINE_string(cfg_dir, "", "Path of PaddleX model yaml file");
+DEFINE_string(cfg_file, "", "Path of PaddleX model yaml file");
 DEFINE_string(image, "", "Path of test image file");
 DEFINE_string(image_list, "", "Path of test image list file");
 DEFINE_string(device, "CPU", "Device name");
@@ -39,8 +39,8 @@ int main(int argc, char** argv) {
     std::cerr << "--model_dir need to be defined" << std::endl;
     return -1;
   }
-  if (FLAGS_cfg_dir == "") {
-    std::cerr << "--cfg_dir need to be defined" << std::endl;
+  if (FLAGS_cfg_file == "") {
+    std::cerr << "--cfg_file need to be defined" << std::endl;
     return -1;
   }
   if (FLAGS_image == "" & FLAGS_image_list == "") {
@@ -51,7 +51,7 @@ int main(int argc, char** argv) {
   //
   std::cout << "init start" << std::endl;
   PaddleX::Model model;
-  model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_device);
+  model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_device);
   std::cout << "init done" << std::endl;
   int imgs = 1;
   auto colormap = PaddleX::GenerateColorMap(model.labels.size());
diff --git a/deploy/openvino/include/paddlex/paddlex.h b/deploy/openvino/include/paddlex/paddlex.h
index 082f178923d34c1e615f52bd391dbe0829599e44..6ac342411b07d8d4f2ab54a51333d2ac342f490b 100755
--- a/deploy/openvino/include/paddlex/paddlex.h
+++ b/deploy/openvino/include/paddlex/paddlex.h
@@ -39,13 +39,13 @@ namespace PaddleX {
 class Model {
  public:
   void Init(const std::string& model_dir,
-            const std::string& cfg_dir,
+            const std::string& cfg_file,
             std::string device) {
-    create_predictor(model_dir, cfg_dir,  device);
+    create_predictor(model_dir, cfg_file,  device);
   }
 
   void create_predictor(const std::string& model_dir,
-                        const std::string& cfg_dir,
+                        const std::string& cfg_file,
                         std::string device);
 
   bool load_config(const std::string& model_dir);
diff --git a/deploy/openvino/python/demo.py b/deploy/openvino/python/demo.py
index 4406629fd428b30a84ae19f10b0541031f0e0844..93ecaab8e526977402a798c21b8b8c5696f1f70b 100644
--- a/deploy/openvino/python/demo.py
+++ b/deploy/openvino/python/demo.py
@@ -32,30 +32,20 @@ def arg_parser():
         type=str,
         default='CPU',
         help="Specify the target device to infer on:[CPU, GPU, FPGA, HDDL, MYRIAD,HETERO]"
-             "Default value is CPU")
+        "Default value is CPU")
     parser.add_argument(
-        "--img",
-        "-i",
-        type=str,
-        default=None,
-        help="path to an image files")
+        "--img", "-i", type=str, default=None, help="path to an image files")
 
     parser.add_argument(
-        "--img_list",
-        "-l",
-        type=str,
-        default=None,
-        help="Path to a imglist")
-
+        "--img_list", "-l", type=str, default=None, help="Path to a imglist")
 
     parser.add_argument(
-        "--cfg_dir",
+        "--cfg_file",
         "-c",
         type=str,
         default=None,
         help="Path to PaddelX model yml file")
 
-
     return parser
 
 
@@ -63,16 +53,16 @@ def main():
     parser = arg_parser()
     args = parser.parse_args()
     model_xml = args.model_dir
-    model_yaml = args.cfg_dir
+    model_yaml = args.cfg_file
 
     #model init
-    if("CPU" not in args.device):
-        predictor = deploy.Predictor(model_xml,model_yaml,args.device)
+    if ("CPU" not in args.device):
+        predictor = deploy.Predictor(model_xml, model_yaml, args.device)
     else:
-        predictor = deploy.Predictor(model_xml,model_yaml)
-    
+        predictor = deploy.Predictor(model_xml, model_yaml)
+
     #predict
-    if(args.img_list != None):
+    if (args.img_list != None):
         f = open(args.img_list)
         lines = f.readlines()
         for im_path in lines:
@@ -83,5 +73,6 @@ def main():
         im_path = args.img
         predictor.predict(im_path)
 
+
 if __name__ == "__main__":
     main()
diff --git a/deploy/openvino/scripts/install_third-party.sh b/deploy/openvino/scripts/install_third-party.sh
index ea16f6eb0c58b6ca63f39840a93af85de7f23c7b..8824f64a37d0a0c245cfb0be7e047b5828516be1 100644
--- a/deploy/openvino/scripts/install_third-party.sh
+++ b/deploy/openvino/scripts/install_third-party.sh
@@ -24,7 +24,7 @@ if [ ! -d "./deps/glog" ]; then
 fi
 
 if [ "$ARCH" = "x86" ]; then
-    OPENCV_URL=https://bj.bcebos.com/paddlex/deploy/x86opencv/opencv.tar.bz2 
+    OPENCV_URL=https://bj.bcebos.com/paddlex/deploy/x86opencv/opencv.tar.bz2
 else
     OPENCV_URL=https://bj.bcebos.com/paddlex/deploy/armopencv/opencv.tar.bz2
 fi
diff --git a/deploy/openvino/src/paddlex.cpp b/deploy/openvino/src/paddlex.cpp
index ee77d1b268b6d188cce9eafea68b4fe65391e776..08bc5f8b9af7ec942ea912ad0fa702fc9ec00e6f 100755
--- a/deploy/openvino/src/paddlex.cpp
+++ b/deploy/openvino/src/paddlex.cpp
@@ -20,7 +20,7 @@
 namespace PaddleX {
 
 void Model::create_predictor(const std::string& model_dir,
-                            const std::string& cfg_dir,
+                            const std::string& cfg_file,
                             std::string device) {
     InferenceEngine::Core ie;
     network_ = ie.ReadNetwork(
@@ -49,11 +49,11 @@ void Model::create_predictor(const std::string& model_dir,
     } else {
       executable_network_ = ie.LoadNetwork(network_, device);
     }
-    load_config(cfg_dir);
+    load_config(cfg_file);
 }
 
-bool Model::load_config(const std::string& cfg_dir) {
-  YAML::Node config = YAML::LoadFile(cfg_dir);
+bool Model::load_config(const std::string& cfg_file) {
+  YAML::Node config = YAML::LoadFile(cfg_file);
   type = config["_Attributes"]["model_type"].as<std::string>();
   name = config["Model"].as<std::string>();
   bool to_rgb = true;
diff --git a/deploy/raspberry/demo/classifier.cpp b/deploy/raspberry/demo/classifier.cpp
index 03b8b7ae81230821b1260ded7784fe014d05a248..5967e1228560f0649414dc23ee1446d066c9004b 100755
--- a/deploy/raspberry/demo/classifier.cpp
+++ b/deploy/raspberry/demo/classifier.cpp
@@ -22,7 +22,7 @@
 #include "include/paddlex/paddlex.h"
 
 DEFINE_string(model_dir, "", "Path of inference model");
-DEFINE_string(cfg_dir, "", "Path of PaddelX model yml file");
+DEFINE_string(cfg_file, "", "Path of PaddelX model yml file");
 DEFINE_string(image, "", "Path of test image file");
 DEFINE_string(image_list, "", "Path of test image list file");
 DEFINE_int32(thread_num, 1, "num of thread to infer");
@@ -35,8 +35,8 @@ int main(int argc, char** argv) {
     std::cerr << "--model_dir need to be defined" << std::endl;
     return -1;
   }
-  if (FLAGS_cfg_dir == "") {
-    std::cerr << "--cfg_dir need to be defined" << std::endl;
+  if (FLAGS_cfg_file == "") {
+    std::cerr << "--cfg_flie need to be defined" << std::endl;
     return -1;
   }
   if (FLAGS_image == "" & FLAGS_image_list == "") {
@@ -46,7 +46,7 @@ int main(int argc, char** argv) {
 
   // 加载模型
   PaddleX::Model model;
-  model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_thread_num);
+  model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_thread_num);
   std::cout << "init is done" << std::endl;
   // 进行预测
   if (FLAGS_image_list != "") {
diff --git a/deploy/raspberry/demo/detector.cpp b/deploy/raspberry/demo/detector.cpp
index 7887dcb342968b6da5e197f224f0d1c2bc3b0be5..aa26509d4d5ae3ed737f8876cffd054ad3c27ee6 100755
--- a/deploy/raspberry/demo/detector.cpp
+++ b/deploy/raspberry/demo/detector.cpp
@@ -29,7 +29,7 @@
 using namespace std::chrono;  // NOLINT
 
 DEFINE_string(model_dir, "", "Path of openvino model xml file");
-DEFINE_string(cfg_dir, "", "Path of PaddleX model yaml file");
+DEFINE_string(cfg_file, "", "Path of PaddleX model yaml file");
 DEFINE_string(image, "", "Path of test image file");
 DEFINE_string(image_list, "", "Path of test image list file");
 DEFINE_int32(thread_num, 1, "num of thread to infer");
@@ -45,8 +45,8 @@ int main(int argc, char** argv) {
     std::cerr << "--model_dir need to be defined" << std::endl;
     return -1;
   }
-  if (FLAGS_cfg_dir == "") {
-    std::cerr << "--cfg_dir need to be defined" << std::endl;
+  if (FLAGS_cfg_file == "") {
+    std::cerr << "--cfg_file need to be defined" << std::endl;
     return -1;
   }
   if (FLAGS_image == "" & FLAGS_image_list == "") {
@@ -56,7 +56,7 @@ int main(int argc, char** argv) {
 
   //
   PaddleX::Model model;
-  model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_thread_num);
+  model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_thread_num);
 
   int imgs = 1;
   auto colormap = PaddleX::GenerateColorMap(model.labels.size());
diff --git a/deploy/raspberry/demo/segmenter.cpp b/deploy/raspberry/demo/segmenter.cpp
index 2f6ede99f558db99b1c2daabfdb7161c441ef240..4e55942f01d8286ea307e947e20594779a15ee12 100755
--- a/deploy/raspberry/demo/segmenter.cpp
+++ b/deploy/raspberry/demo/segmenter.cpp
@@ -25,7 +25,7 @@
 
 
 DEFINE_string(model_dir, "", "Path of openvino model xml file");
-DEFINE_string(cfg_dir, "", "Path of PaddleX model yaml file");
+DEFINE_string(cfg_file, "", "Path of PaddleX model yaml file");
 DEFINE_string(image, "", "Path of test image file");
 DEFINE_string(image_list, "", "Path of test image list file");
 DEFINE_string(save_dir, "", "Path to save visualized image");
@@ -38,8 +38,8 @@ int main(int argc, char** argv) {
     std::cerr << "--model_dir need to be defined" << std::endl;
     return -1;
   }
-  if (FLAGS_cfg_dir == "") {
-    std::cerr << "--cfg_dir need to be defined" << std::endl;
+  if (FLAGS_cfg_file == "") {
+    std::cerr << "--cfg_file need to be defined" << std::endl;
     return -1;
   }
   if (FLAGS_image == "" & FLAGS_image_list == "") {
@@ -50,7 +50,7 @@ int main(int argc, char** argv) {
   //
   std::cout << "init start" << std::endl;
   PaddleX::Model model;
-  model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_thread_num);
+  model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_thread_num);
   std::cout << "init done" << std::endl;
   int imgs = 1;
   auto colormap = PaddleX::GenerateColorMap(model.labels.size());
diff --git a/deploy/raspberry/include/paddlex/paddlex.h b/deploy/raspberry/include/paddlex/paddlex.h
index 2fc5070e401a3e31d62fc548b98f853c6dee7166..7c4a7065b043140be09cd032a5465f4bb2951398 100755
--- a/deploy/raspberry/include/paddlex/paddlex.h
+++ b/deploy/raspberry/include/paddlex/paddlex.h
@@ -49,13 +49,13 @@ namespace PaddleX {
 class Model {
  public:
   void Init(const std::string& model_dir,
-            const std::string& cfg_dir,
+            const std::string& cfg_file,
             int thread_num) {
-    create_predictor(model_dir, cfg_dir, thread_num);
+    create_predictor(model_dir, cfg_file, thread_num);
   }
 
   void create_predictor(const std::string& model_dir,
-                        const std::string& cfg_dir,
+                        const std::string& cfg_file,
                         int thread_num);
 
   bool load_config(const std::string& model_dir);
diff --git a/deploy/raspberry/python/demo.py b/deploy/raspberry/python/demo.py
index 8102760f2ce8f6bfffd3dbe051933adbcfbd2a63..512426bd380e58538e18ec71e722b1b510380b75 100644
--- a/deploy/raspberry/python/demo.py
+++ b/deploy/raspberry/python/demo.py
@@ -27,28 +27,18 @@ def arg_parser():
         default=None,
         help="path to openvino model .xml file")
     parser.add_argument(
-        "--img",
-        "-i",
-        type=str,
-        default=None,
-        help="path to an image files")
+        "--img", "-i", type=str, default=None, help="path to an image files")
 
     parser.add_argument(
-        "--img_list",
-        "-l",
-        type=str,
-        default=None,
-        help="Path to a imglist")
-
+        "--img_list", "-l", type=str, default=None, help="Path to a imglist")
 
     parser.add_argument(
-        "--cfg_dir",
+        "--cfg_file",
         "-c",
         type=str,
         default=None,
         help="Path to PaddelX model yml file")
 
-
     parser.add_argument(
         "--thread_num",
         "-t",
@@ -63,8 +53,6 @@ def arg_parser():
         default=None,
         help=" image input shape of model [NCHW] like [1,3,224,244] ")
 
-
-
     return parser
 
 
@@ -72,16 +60,16 @@ def main():
     parser = arg_parser()
     args = parser.parse_args()
     model_nb = args.model_dir
-    model_yaml = args.cfg_dir
+    model_yaml = args.cfg_file
     thread_num = args.thread_num
     input_shape = args.input_shape
-    input_shape = input_shape[1:-1].split(",",3)
-    shape = list(map(int,input_shape))
+    input_shape = input_shape[1:-1].split(",", 3)
+    shape = list(map(int, input_shape))
     #model init
-    predictor = deploy.Predictor(model_nb,model_yaml,thread_num,shape)
-    
+    predictor = deploy.Predictor(model_nb, model_yaml, thread_num, shape)
+
     #predict
-    if(args.img_list != None):
+    if (args.img_list != None):
         f = open(args.img_list)
         lines = f.readlines()
         for im_path in lines:
@@ -92,5 +80,6 @@ def main():
         im_path = args.img
         predictor.predict(im_path)
 
+
 if __name__ == "__main__":
     main()
diff --git a/deploy/raspberry/src/paddlex.cpp b/deploy/raspberry/src/paddlex.cpp
index fd89636ed73fb9c88f8a7789a6be16be6c300768..84dce8e19652bf5d2117ee5d798872cc0bf29ab9 100755
--- a/deploy/raspberry/src/paddlex.cpp
+++ b/deploy/raspberry/src/paddlex.cpp
@@ -20,19 +20,19 @@
 namespace PaddleX {
 
 void Model::create_predictor(const std::string& model_dir,
-                            const std::string& cfg_dir,
+                            const std::string& cfg_file,
                             int thread_num) {
   paddle::lite_api::MobileConfig config;
   config.set_model_from_file(model_dir);
   config.set_threads(thread_num);
-  load_config(cfg_dir);
+  load_config(cfg_file);
   predictor_ =
     paddle::lite_api::CreatePaddlePredictor<paddle::lite_api::MobileConfig>(
       config);
 }
 
-bool Model::load_config(const std::string& cfg_dir) {
-  YAML::Node config = YAML::LoadFile(cfg_dir);
+bool Model::load_config(const std::string& cfg_file) {
+  YAML::Node config = YAML::LoadFile(cfg_file);
   type = config["_Attributes"]["model_type"].as<std::string>();
   name = config["Model"].as<std::string>();
   bool to_rgb = true;
diff --git a/docs/deploy/openvino/linux.md b/docs/deploy/openvino/linux.md
index cad533ff0c33741b5e587a31ca6e51dc04eb3bd1..43d414a896ceaff5469e929a598bb060ee3ccd86 100644
--- a/docs/deploy/openvino/linux.md
+++ b/docs/deploy/openvino/linux.md
@@ -7,9 +7,9 @@
 * GCC* 5.4.0
 * CMake 3.0+
 * PaddleX 1.0+
-* OpenVINO 2020.4 
+* OpenVINO 2020.4
 * 硬件平台：CPU、VPU
-  
+
 **说明**：PaddleX安装请参考[PaddleX](https://paddlex.readthedocs.io/zh_CN/develop/install.html) ， OpenVINO安装请根据相应的系统参考[OpenVINO-Linux](https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_linux.html)或者[OpenVINO-Raspbian](https://docs.openvinotoolkit.org/latest/openvino_docs_install_guides_installing_openvino_raspbian.html)
 
 请确保系统已经安装好上述基本软件，并配置好相应环境，**下面所有示例以工作目录 `/root/projects/`演示**。
@@ -35,11 +35,11 @@ git clone https://github.com/PaddlePaddle/PaddleX.git
 
 - glog：编译请参考[编译文档](https://github.com/google/glog)
 
-- opencv: 编译请参考 
+- opencv: 编译请参考
 [编译文档](https://docs.opencv.org/master/d7/d9f/tutorial_linux_install.html)
- 
 
-  
+
+
 ### Step3: 编译
 编译`cmake`的命令在`scripts/build.sh`中，若在树莓派(Raspbian OS)上编译请修改ARCH参数x86为armv7，若自行编译第三方依赖软件请根据Step1中编译软件的实际情况修改主要参数，其主要内容说明如下：
 ```
@@ -71,7 +71,7 @@ ARCH=x86
 | --image  | 要预测的图片文件路径 |
 | --image_list  | 按行存储图片路径的.txt文件 |
 | --device  | 运行的平台，可选项{"CPU"，"MYRIAD"}，默认值为"CPU"，如在VPU上请使用"MYRIAD"|
-| --cfg_dir | PaddleX model 的.yml配置文件 |
+| --cfg_file | PaddleX model 的.yml配置文件 |
 | --save_dir | 可视化结果图片保存地址，仅适用于检测任务，默认值为" "既不保存可视化结果 |
 
 ### 样例
@@ -80,7 +80,7 @@ linux系统在CPU下做单张图片的分类任务预测
 测试图片 `/path/to/test_img.jpeg`  
 
 ```shell
-./build/classifier --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_dir=/path/to/PadlleX_model.yml
+./build/classifier --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_file=/path/to/PadlleX_model.yml
 ```
 
 
@@ -95,7 +95,7 @@ linux系统在CPU下做多张图片的检测任务预测，并保存预测可视
 ```
 
 ```shell
-./build/detector --model_dir=/path/to/models/openvino_model --image_list=/root/projects/images_list.txt --cfg_dir=/path/to/PadlleX_model.yml --save_dir ./output
+./build/detector --model_dir=/path/to/models/openvino_model --image_list=/root/projects/images_list.txt --cfg_file=/path/to/PadlleX_model.yml --save_dir ./output
 ```
 
 `样例三`:  
@@ -103,7 +103,7 @@ linux系统在CPU下做多张图片的检测任务预测，并保存预测可视
 测试图片 `/path/to/test_img.jpeg`  
 
 ```shell
-./build/classifier --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_dir=/path/to/PadlleX_model.yml --device=MYRIAD
+./build/classifier --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_file=/path/to/PadlleX_model.yml --device=MYRIAD
 ```
 
 ## 性能测试
@@ -118,7 +118,7 @@ linux系统在CPU下做多张图片的检测任务预测，并保存预测可视
 |---|---|---|---|
 |resnet-50 | 20.56 | 16.12 | 224*224 |
 |mobilenet-V2 | 5.16 | 2.31 |224*224|
-|yolov3-mobilnetv1 |76.63| 46.26|608*608 |   
+|yolov3-mobilnetv1 |76.63| 46.26|608*608 |  
 
 `测试二`:
 在PC机上插入VPU架构的神经计算棒(NCS2)，通过Openvino加速。
@@ -130,7 +130,7 @@ linux系统在CPU下做多张图片的检测任务预测，并保存预测可视
 |模型|OpenVINO|输入图片|
 |---|---|---|
 |mobilenetV2|24.00|224*224|
-|resnet50_vd_ssld|58.53|224*224|    
+|resnet50_vd_ssld|58.53|224*224|  
 
 `测试三`:
 在树莓派3B上插入VPU架构的神经计算棒(NCS2)，通过Openvino加速。
diff --git a/docs/deploy/openvino/python.md b/docs/deploy/openvino/python.md
index 0c7b9491f315de93e75ebc617131e5c80327f1a3..e750d11e932f1c40aad59fc1463d47c08b63fa5f 100644
--- a/docs/deploy/openvino/python.md
+++ b/docs/deploy/openvino/python.md
@@ -19,8 +19,8 @@
 | --img  | 要预测的图片文件路径 |
 | --image_list  | 按行存储图片路径的.txt文件 |
 | --device  | 运行的平台, 默认值为"CPU" |
-| --cfg_dir | PaddleX model 的.yml配置文件 |
-  
+| --cfg_file | PaddleX model 的.yml配置文件 |
+
 ### 样例
 `样例一`：  
 测试图片 `/path/to/test_img.jpeg`  
@@ -28,7 +28,7 @@
 ```
 cd /root/projects/python  
 
-python demo.py --model_dir /path/to/openvino_model --img /path/to/test_img.jpeg --cfg_dir /path/to/PadlleX_model.yml
+python demo.py --model_dir /path/to/openvino_model --img /path/to/test_img.jpeg --cfg_file /path/to/PadlleX_model.yml
 ```  
 
 样例二`:
@@ -45,7 +45,5 @@ python demo.py --model_dir /path/to/openvino_model --img /path/to/test_img.jpeg
 ```
 cd /root/projects/python  
 
-python demo.py --model_dir /path/to/models/openvino_model --image_list /root/projects/images_list.txt --cfg_dir=/path/to/PadlleX_model.yml
+python demo.py --model_dir /path/to/models/openvino_model --image_list /root/projects/images_list.txt --cfg_file=/path/to/PadlleX_model.yml
 ```
-
-
diff --git a/docs/deploy/openvino/windows.md b/docs/deploy/openvino/windows.md
index 35b84abe65650921c6d75d532637396075f77be1..a65312561f9628e2d99e16241e79b0a8acd0e83e 100644
--- a/docs/deploy/openvino/windows.md
+++ b/docs/deploy/openvino/windows.md
@@ -81,7 +81,7 @@ cd D:\projects\PaddleX\deploy\openvino\out\build\x64-Release
 | --image  | 要预测的图片文件路径 |
 | --image_list  | 按行存储图片路径的.txt文件 |
 | --device  | 运行的平台，可选项{"CPU"，"MYRIAD"}，默认值为"CPU"，如在VPU上请使用"MYRIAD"|
-| --cfg_dir | PaddleX model 的.yml配置文件 |
+| --cfg_file | PaddleX model 的.yml配置文件 |
 | --save_dir | 可视化结果图片保存地址，仅适用于检测任务，默认值为" "既不保存可视化结果 |
 
 ### 样例
@@ -90,7 +90,7 @@ cd D:\projects\PaddleX\deploy\openvino\out\build\x64-Release
 测试图片 `/path/to/test_img.jpeg`  
 
 ```shell
-./classifier.exe --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_dir=/path/to/PadlleX_model.yml
+./classifier.exe --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_file=/path/to/PadlleX_model.yml
 ```
 
 `样例二`:
@@ -104,7 +104,7 @@ cd D:\projects\PaddleX\deploy\openvino\out\build\x64-Release
 ```
 
 ```shell
-./detector.exe --model_dir=/path/to/models/openvino_model --image_list=/root/projects/images_list.txt --cfg_dir=/path/to/PadlleX_model.yml --save_dir ./output
+./detector.exe --model_dir=/path/to/models/openvino_model --image_list=/root/projects/images_list.txt --cfg_file=/path/to/PadlleX_model.yml --save_dir ./output
 ```
 
 `样例三`:  
@@ -112,5 +112,5 @@ cd D:\projects\PaddleX\deploy\openvino\out\build\x64-Release
 测试图片 `/path/to/test_img.jpeg`  
 
 ```shell
-.classifier.exe --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_dir=/path/to/PadlleX_model.yml --device=MYRIAD
-```
\ No newline at end of file
+.classifier.exe --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_file=/path/to/PadlleX_model.yml --device=MYRIAD
+```
diff --git a/docs/deploy/raspberry/Raspberry.md b/docs/deploy/raspberry/Raspberry.md
index fb23cb0c4c16224ebcaa06deff6732ff64cdef0a..a49b9605e9956a288162e4d6fc6bd969f0103d90 100644
--- a/docs/deploy/raspberry/Raspberry.md
+++ b/docs/deploy/raspberry/Raspberry.md
@@ -4,7 +4,7 @@ PaddleX支持通过Paddle-Lite和基于OpenVINO的神经计算棒(NCS2)这两种
 
 ## 硬件环境配置  
 
-对于尚未安装系统的树莓派首先需要进行系统安装、环境配置等步骤来初始化硬件环境，过程中需要的软硬件如下： 
+对于尚未安装系统的树莓派首先需要进行系统安装、环境配置等步骤来初始化硬件环境，过程中需要的软硬件如下：
 
 - 硬件：micro SD，显示器，键盘，鼠标
 - 软件：Raspbian OS
@@ -23,7 +23,7 @@ sudo apt-get upgrade
 ```
 
 ## Paddle-Lite部署
-基于Paddle-Lite的部署目前可以支持PaddleX的分类、分割与检测模型，其实检测模型仅支持YOLOV3   
+基于Paddle-Lite的部署目前可以支持PaddleX的分类、分割与检测模型，其实检测模型仅支持YOLOV3  
 部署的流程包括：PaddleX模型转换与转换后的模型部署  
 
 **说明**：PaddleX安装请参考[PaddleX](https://paddlex.readthedocs.io/zh_CN/develop/install.html)，Paddle-Lite详细资料请参考[Paddle-Lite](https://paddle-lite.readthedocs.io/zh/latest/index.html)
@@ -62,11 +62,11 @@ sudo ./lite/tools/build.sh  --arm_os=armlinux --arm_abi=armv7hf --arm_lang=gcc
 
 - glog：编译请参考[编译文档](https://github.com/google/glog)
 
-- opencv: 编译请参考 
+- opencv: 编译请参考
 [编译文档](https://docs.opencv.org/master/d7/d9f/tutorial_linux_install.html)
 ### Step4: 编译
-编译`cmake`的命令在`scripts/build.sh`中，修改LITE_DIR为Paddle-Lite预测库目录，若自行编译第三方依赖软件请根据Step1中编译软件的实际情况修改主要参数，其主要内容说明如下： 
-``` 
+编译`cmake`的命令在`scripts/build.sh`中，修改LITE_DIR为Paddle-Lite预测库目录，若自行编译第三方依赖软件请根据Step1中编译软件的实际情况修改主要参数，其主要内容说明如下：
+```
 # Paddle-Lite预编译库的路径
 LITE_DIR=/path/to/Paddle-Lite/inference/lib
 # gflags预编译库的路径
@@ -91,7 +91,7 @@ OPENCV_DIR=$(pwd)/deps/opencv/
 | --image  | 要预测的图片文件路径 |
 | --image_list  | 按行存储图片路径的.txt文件 |
 | --thread_num | 预测的线程数，默认值为1 |
-| --cfg_dir | PaddleX model 的.yml配置文件 |
+| --cfg_file | PaddleX model 的.yml配置文件 |
 | --save_dir | 可视化结果图片保存地址，仅适用于检测和分割任务，默认值为" "既不保存可视化结果 |
 
 ### 样例
@@ -100,8 +100,8 @@ OPENCV_DIR=$(pwd)/deps/opencv/
 测试图片 `/path/to/test_img.jpeg`  
 
 ```shell
-./build/classifier --model_dir=/path/to/nb_model 
---image=/path/to/test_img.jpeg --cfg_dir=/path/to/PadlleX_model.yml  --thread_num=4
+./build/classifier --model_dir=/path/to/nb_model
+--image=/path/to/test_img.jpeg --cfg_file=/path/to/PadlleX_model.yml  --thread_num=4
 ```
 
 
@@ -116,7 +116,7 @@ OPENCV_DIR=$(pwd)/deps/opencv/
 ```
 
 ```shell
-./build/segmenter --model_dir=/path/to/models/nb_model --image_list=/root/projects/images_list.txt --cfg_dir=/path/to/PadlleX_model.yml --save_dir ./output --thread_num=4  
+./build/segmenter --model_dir=/path/to/models/nb_model --image_list=/root/projects/images_list.txt --cfg_file=/path/to/PadlleX_model.yml --save_dir ./output --thread_num=4  
 ```  
 
 ## 性能测试
@@ -153,4 +153,4 @@ OPENCV_DIR=$(pwd)/deps/opencv/
 ## NCS2部署
 树莓派支持通过OpenVINO在NCS2上跑PaddleX模型预测，目前仅支持PaddleX的分类网络，基于NCS2的方式包含Paddle模型转OpenVINO IR以及部署IR在NCS2上进行预测两个步骤。
 - 模型转换请参考：[PaddleX模型转换为OpenVINO IR]('./openvino/export_openvino_model.md')，raspbian OS上的OpenVINO不支持模型转换，需要先在host侧转换FP16的IR。
-- 预测部署请参考[OpenVINO部署](./openvino/linux.md)中VPU在raspbian OS部署的部分
\ No newline at end of file
+- 预测部署请参考[OpenVINO部署](./openvino/linux.md)中VPU在raspbian OS部署的部分
diff --git a/docs/deploy/raspberry/python.md b/docs/deploy/raspberry/python.md
index aa46aa395f8e80f79d294ce79e013a2135df775f..086b34dcd06709ecc48cce973755c4ada8a84357 100644
--- a/docs/deploy/raspberry/python.md
+++ b/docs/deploy/raspberry/python.md
@@ -22,10 +22,10 @@ python -m pip install paddlelite
 | --model_dir  | 模型转换生成的.xml文件路径，请保证模型转换生成的三个文件在同一路径下|
 | --img  | 要预测的图片文件路径 |
 | --image_list  | 按行存储图片路径的.txt文件 |
-| --cfg_dir | PaddleX model 的.yml配置文件 |
+| --cfg_file | PaddleX model 的.yml配置文件 |
 | --thread_num  | 预测的线程数, 默认值为1 |
 | --input_shape  | 模型输入中图片输入的大小[N,C,H.W] |
-  
+
 ### 样例
 `样例一`：  
 测试图片 `/path/to/test_img.jpeg`  
@@ -33,7 +33,7 @@ python -m pip install paddlelite
 ```
 cd /root/projects/python  
 
-python demo.py --model_dir /path/to/openvino_model --img /path/to/test_img.jpeg --cfg_dir /path/to/PadlleX_model.yml --thread_num 4 --input_shape [1,3,224,224]
+python demo.py --model_dir /path/to/openvino_model --img /path/to/test_img.jpeg --cfg_file /path/to/PadlleX_model.yml --thread_num 4 --input_shape [1,3,224,224]
 ```  
 
 样例二`:
@@ -50,5 +50,5 @@ python demo.py --model_dir /path/to/openvino_model --img /path/to/test_img.jpeg
 ```
 cd /root/projects/python  
 
-python demo.py --model_dir /path/to/models/openvino_model --image_list /root/projects/images_list.txt --cfg_dir=/path/to/PadlleX_model.yml --thread_num 4 --input_shape [1,3,224,224]
-```
\ No newline at end of file
+python demo.py --model_dir /path/to/models/openvino_model --image_list /root/projects/images_list.txt --cfg_file=/path/to/PadlleX_model.yml --thread_num 4 --input_shape [1,3,224,224]
+```