!11189 New Demo Version

From: @liuxiao78
Reviewed-by: @hangangqiang,@zhanghaibo5
Signed-off-by: @hangangqiang

model_zoo/official/lite/image_classification/README.en.md

@@ -1,52 +1,67 @@
-## Demo of Image Classification
+# Demo of Image Classification
 
 The following describes how to use the MindSpore Lite C++ APIs (Android JNIs) and MindSpore Lite image classification models to perform on-device inference, classify the content captured by a device camera, and display the most possible classification result on the application's image preview screen.
 
-### Running Dependencies
+## Running Dependencies
 
 - Android Studio 3.2 or later (Android 4.0 or later is recommended.)
-- Native development kit (NDK) 21.3
-- CMake 3.10.2 [CMake](https://cmake.org/download)
-- Android software development kit (SDK) 26 or later
-- JDK 1.8 or later
 
-### Building and Running
+## Building and Running
 
-1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.)
+1. Load the sample source code to Android Studio.
 
     ![start_home](images/home.png)
 
-    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding SDK. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
+    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding `SDK Tools`. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
+    > Android SDK Tools is the default installation. You can see this by unchecking the `Hide Obsolete Packages`box.
+    >
+    > If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
 
-2. Connect to an Android device and runs the image classification application.
+2. Connect to an Android device and runs this application.
 
     Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
 
     ![run_app](images/run_app.PNG)
 
-    For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
-
-    The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings > system and update > developer Options > USB debugging.
+    > Android Studio will automatically download MindSpore Lite, model files and other dependencies during the compilation process. Please be patient during this process.
+    >
+    > For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
+    >
+    > The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings -> system and update -> developer Options -> USB debugging.
 
 3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result.
 
     ![result](images/app_result.jpg)
 
-4. The solutions of Android Studio configuration problems:
+4. The solutions of configuration problems:
+
+    4.1 Problems of NDK, CMake, JDK Tools:
+
+    If the tools installed in Android Studio are not recognized, you can re-download and install them from the corresponding official website, and configure the path.
 
-    |      | Warning                                                         | Solution                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | Specify the installed ndk directory in local.properties：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | Manually download corresponding [NDK Version](https://developer.android.com/ndk/downloads)，and specify the sdk directory in Project Structure - Android NDK location.（You can refer to the figure below.） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | Update Android Studio Version in Tools - help - Checkout for Updates.                 |
-    | 4    | SSL peer shut down incorrectly                               | Run this demo again.                                                     |
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
     ![project_structure](images/project_structure.png)
 
+    4.2 NDK version does not match:
+
+    Open `Android SDK`, click `Show Package Details`, and select the appropriate NDK version according to the error message.
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Problem of Android Studio version:
+
+    Update the Android Studio version in `Toolbar - Help - Checkout for Updates`.
+
+    4.4 Gradle dependencies installed too slowly:
+
+    As shown in the picture, open the Demo root directory `build. Gradle` file, then add huawei mirror source address: `maven {url 'https://developer.huawei.com/repo/'}`, modify the classpath to 4.0.0 and click ` sync ` . Once the download is complete, restore the classpath version and synchronize it again.
+
 ## Detailed Description of the Sample Program  
 
 This image classification sample program on the Android device includes a Java layer and a JNI layer. At the Java layer, the Android Camera 2 API is used to enable a camera to obtain image frames and process images. At the JNI layer, the model inference process is completed in [Runtime](https://www.mindspore.cn/tutorial/lite/en/master/use/runtime.html).

model_zoo/official/lite/image_classification/README.md

@@ -1,39 +1,37 @@
-## MindSpore Lite 端侧图像分类demo（Android）
+# MindSpore Lite 端侧图像分类demo（Android）
 
 本示例程序演示了如何在端侧利用MindSpore Lite C++ API（Android JNI）以及MindSpore Lite 图像分类模型完成端侧推理，实现对设备摄像头捕获的内容进行分类，并在App图像预览界面中显示出最可能的分类结果。
 
-### 运行依赖
+## 运行依赖
 
 - Android Studio >= 3.2 (推荐4.0以上版本)
-- NDK 21.3
-- CMake 3.10.2   [CMake](https://cmake.org/download)
-- Android SDK >= 26
-- JDK >= 1.8
 
-### 构建与运行
+## 构建与运行
 
-1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。
+1. 在Android Studio中加载本示例源码。
 
     ![start_home](images/home.png)
 
-    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
+    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的`SDK Tools`。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    使用过程中若出现Android Studio配置问题，可参考第4项解决。
+    > Android SDK Tools为默认安装项，取消`Hide Obsolete Packages`选框之后可看到。
+    >
+    > 使用过程中若出现问题，可参考第4项解决。
 
-2. 连接Android设备，运行图像分类应用程序。
+2. 连接Android设备，运行该应用程序。
 
-    通过USB连接Android设备调试，点击`Run 'app'`即可在您的设备上运行本示例项目。
+    通过USB连接Android手机。待成功识别到设备后，点击`Run 'app'`即可在您的手机上运行本示例项目。
 
     > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    >
+    > Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    >
+    > 手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
 
     ![run_app](images/run_app.PNG)
 
-    Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
-
-    手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
-
 3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。
 
     ![install](images/install.jpg)
@@ -42,16 +40,32 @@
 
     ![result](images/app_result.jpg)
 
-4. Android Studio 配置问题解决方案可参考下表：
+4. Demo部署问题解决方案。
+
+    4.1 NDK、CMake、JDK等工具问题：
+
+    如果Android Studio内安装的工具出现无法识别等问题，可重新从相应官网下载和安装，并配置路径。
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
+
+        ![project_structure](images/project_structure.png)
+
+    4.2 NDK版本不匹配问题：
+
+    打开`Android SDK`，点击`Show Package Details`，根据报错信息选择安装合适的NDK版本。
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Android Studio版本问题：
+
+    在`工具栏-help-Checkout for Updates`中更新Android Studio版本。
 
-    |      | 报错                                                         | 解决方案                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | 在local.properties中指定安装的ndk目录：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | 可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)，并在Project Structure - Android NDK location设置中指定SDK的位置（可参考下图完成） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | 在工具栏-help-Checkout for Updates中更新版本                 |
-    | 4    | SSL peer shut down incorrectly                               | 重新构建                                                     |
+    4.4 Gradle下依赖项安装过慢问题：
 
-    ![project_structure](images/project_structure.png)
+   如图所示， 打开Demo根目录下`build.gradle`文件，加入华为镜像源地址：`maven {url 'https://developer.huawei.com/repo/'}`，修改classpath为4.0.0，点击`sync`进行同步。下载完成后，将classpath版本复原，再次进行同步。
+    ![maven](images/maven.jpg)
 
 ## 示例程序详细说明  
 

model_zoo/official/lite/image_segmentation/README.en.md

@@ -1,50 +1,69 @@
-## Demo of Image Segmentation
+# Demo of Image Segmentation
 
 The following describes how to use the MindSpore Lite JAVA APIs and MindSpore Lite image segmentation models to perform on-device inference, classify the content captured by a device camera, and display the most possible segmentation result on the application's image preview screen.
 
-### Running Dependencies
+## Running Dependencies
 
 - Android Studio 3.2 or later (Android 4.0 or later is recommended.)
-- Native development kit (NDK) 21.3
-- CMake 3.10.2 [CMake](https://cmake.org/download)
-- Android software development kit (SDK) 26 or later
-- JDK 1.8 or later
 
-### Building and Running
+## Building and Running
 
-1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.)
+1. Load the sample source code to Android Studio.
 
     ![start_home](images/home.png)
 
-    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding SDK. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
+    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding `SDK Tools`. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    If you have any Android Studio configuration problem when trying this demo, please refer to item 5 to resolve it.
+    > Android SDK Tools is the default installation. You can see this by unchecking the `Hide Obsolete Packages`box.
+    >
+    > If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
 
-2. Connect to an Android device and runs the image segmentation application.
+2. Connect to an Android device and runs this application.
 
     Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
 
     ![run_app](images/run_app.PNG)
 
-    For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
-
-    The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings > system and update > developer Options > USB debugging.
+    > Android Studio will automatically download MindSpore Lite, model files and other dependencies during the compilation process. Please be patient during this process.
+    >
+    > For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
+    >
+    > The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings -> system and update -> developer Options -> USB debugging.
 
 3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result.
 
-4. The solutions of Android Studio configuration problems:
+    ![result](images/app_result.jpg)
+
+4. The solutions of configuration problems:
+
+    4.1 Problems of NDK, CMake, JDK Tools:
 
-    |      | Warning                                                         | Solution                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | Specify the installed ndk directory in local.properties：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | Manually download corresponding [NDK Version](https://developer.android.com/ndk/downloads)，and specify the sdk directory in Project Structure - Android NDK location.（You can refer to the figure below.） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | Update Android Studio Version in Tools - help - Checkout for Updates.                 |
-    | 4    | SSL peer shut down incorrectly                               | Run this demo again.                                                     |
+    If the tools installed in Android Studio are not recognized, you can re-download and install them from the corresponding official website, and configure the path.
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
     ![project_structure](images/project_structure.png)
 
+    4.2 NDK version does not match:
+
+    Open `Android SDK`, click `Show Package Details`, and select the appropriate NDK version according to the error message.
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Problem of Android Studio version:
+
+    Update the Android Studio version in `Toolbar - Help - Checkout for Updates`.
+
+    4.4 Gradle dependencies installed too slowly:
+
+    As shown in the picture, open the Demo root directory `build. Gradle` file, then add huawei mirror source address: `maven {url 'https://developer.huawei.com/repo/'}`, modify the classpath to 4.0.0 and click ` sync ` . Once the download is complete, restore the classpath version and synchronize it again.
+
+    ![maven](images/maven.jpg)
+
 ## Detailed Description of the Sample Program  
 
 This image segmentation sample program on the Android device is implemented through Java. At the Java layer, the Android Camera 2 API is used to enable a camera to obtain image frames and process images. Then Java API is called to infer.[Runtime](https://www.mindspore.cn/tutorial/lite/en/master/use/runtime.html).

model_zoo/official/lite/image_segmentation/README.md

@@ -1,53 +1,71 @@
-## MindSpore Lite 端侧图像分割demo（Android）
+# MindSpore Lite 端侧图像分割demo（Android）
 
 本示例程序演示了如何在端侧利用MindSpore Lite Java API 以及MindSpore Lite 图像分割模型完成端侧推理，实现对设备摄像头捕获的内容进行分割，并在App图像预览界面中显示出最可能的分割结果。
 
-### 运行依赖
+## 运行依赖
 
 - Android Studio >= 3.2 (推荐4.0以上版本)
-- NDK 21.3
-- CMake 3.10.2   [CMake](https://cmake.org/download)
-- Android SDK >= 26
-- JDK >= 1.8
 
-### 构建与运行
+## 构建与运行
 
-1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。
+1. 在Android Studio中加载本示例源码。
 
     ![start_home](images/home.png)
 
-    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
+    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的`SDK Tools`。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    使用过程中若出现Android Studio配置问题，可参考第4项解决。
+    > Android SDK Tools为默认安装项，取消`Hide Obsolete Packages`选框之后可看到。
+    >
+    > 使用过程中若出现问题，可参考第4项解决。
 
-2. 连接Android设备，运行图像分割应用程序。
+2. 连接Android设备，运行该应用程序。
 
-    通过USB连接Android设备调试，点击`Run 'app'`即可在您的设备上运行本示例项目。
+    通过USB连接Android手机。待成功识别到设备后，点击`Run 'app'`即可在您的手机上运行本示例项目。
 
     > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    >
+    > Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    >
+    > 手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
 
     ![run_app](images/run_app.PNG)
 
-    Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
-
-    手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
-
 3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。
 
     ![install](images/install.jpg)
 
-4. Android Studio 配置问题解决方案可参考下表：
+    如下图所示，识别出的概率最高的物体是植物。
+
+    ![result](images/app_result.jpg)
+
+4. Demo部署问题解决方案。
+
+    4.1 NDK、CMake、JDK等工具问题：
+
+    如果Android Studio内安装的工具出现无法识别等问题，可重新从相应官网下载和安装，并配置路径。
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
+
+        ![project_structure](images/project_structure.png)
+
+    4.2 NDK版本不匹配问题：
+
+    打开`Android SDK`，点击`Show Package Details`，根据报错信息选择安装合适的NDK版本。
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Android Studio版本问题：
+
+    在`工具栏-help-Checkout for Updates`中更新Android Studio版本。
 
-    |      | 报错                                                         | 解决方案                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | 在local.properties中指定安装的ndk目录：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | 可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)，并在Project Structure - Android NDK location设置中指定SDK的位置（可参考下图完成） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | 在工具栏-help-Checkout for Updates中更新版本                 |
-    | 4    | SSL peer shut down incorrectly                               | 重新构建                                                     |
+    4.4 Gradle下依赖项安装过慢问题：
 
-    ![project_structure](images/project_structure.png)
+   如图所示， 打开Demo根目录下`build.gradle`文件，加入华为镜像源地址：`maven {url 'https://developer.huawei.com/repo/'}`，修改classpath为4.0.0，点击`sync`进行同步。下载完成后，将classpath版本复原，再次进行同步。
+    ![maven](images/maven.jpg)
 
 ## 示例程序详细说明  
 

model_zoo/official/lite/object_detection/README.en.md

@@ -2,49 +2,68 @@
 
 The following describes how to use the MindSpore Lite C++ APIs (Android JNIs) and MindSpore Lite object detection models to perform on-device inference, detect the content captured by a device camera, and display the most possible detection result on the application's image preview screen.
 
-## Deploying an Application
+## Running Dependencies
 
-The following section describes how to build and execute an on-device object detecion  task on MindSpore Lite.
+- Android Studio 3.2 or later (Android 4.0 or later is recommended.)
 
-### Running Dependencies
+## Building and Running
 
-- Android Studio 3.2 or later (Android 4.0 or later is recommended.)
-- Native development kit (NDK) 21.3
-- CMake 3.10.2
-- Android software development kit (SDK) 26 or later
-- OpenCV 4.0.0 or later (included in the sample code)
+1. Load the sample source code to Android Studio.
 
-### Building and Running
+    ![start_home](images/home.png)
 
-1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.)
+    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding `SDK Tools`. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
 
-   ![start_home](images/home.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
+    > Android SDK Tools is the default installation. You can see this by unchecking the `Hide Obsolete Packages`box.
+    >
+    > If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
 
-2. Connect to an Android device and runs the object detection application.
+2. Connect to an Android device and runs this application.
 
-   Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
+    Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
 
-   ![run_app](images/project_structure.png)
+    ![run_app](images/run_app.PNG)
 
-   For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device>.
+    > Android Studio will automatically download MindSpore Lite, model files and other dependencies during the compilation process. Please be patient during this process.
+    >
+    > For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
+    >
+    > The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings -> system and update -> developer Options -> USB debugging.
 
 3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result.
 
-   ![result](images/object_detection.png)
+    ![result](images/app_result.jpg)
+
+4. The solutions of configuration problems:
 
-4. The solutions of Android Studio configuration problems:
+    4.1 Problems of NDK, CMake, JDK Tools:
 
-    |      | Warning                                                         | Solution                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | Specify the installed ndk directory in local.properties：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | Manually download corresponding [NDK Version](https://developer.android.com/ndk/downloads)，and specify the sdk directory in Project Structure - Android NDK location.（You can refer to the figure below.） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | Update Android Studio Version in Tools - help - Checkout for Updates.                 |
-    | 4    | SSL peer shut down incorrectly                               | Run this demo again.                                                     |
+    If the tools installed in Android Studio are not recognized, you can re-download and install them from the corresponding official website, and configure the path.
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
     ![project_structure](images/project_structure.png)
 
+    4.2 NDK version does not match:
+
+    Open `Android SDK`, click `Show Package Details`, and select the appropriate NDK version according to the error message.
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Problem of Android Studio version:
+
+    Update the Android Studio version in `Toolbar - Help - Checkout for Updates`.
+
+    4.4 Gradle dependencies installed too slowly:
+
+    As shown in the picture, open the Demo root directory `build. Gradle` file, then add huawei mirror source address: `maven {url 'https://developer.huawei.com/repo/'}`, modify the classpath to 4.0.0 and click ` sync ` . Once the download is complete, restore the classpath version and synchronize it again.
+
+    ![maven](images/maven.jpg)
+
 ## Detailed Description of the Sample Program  
 
 This object detection sample program on the Android device includes a Java layer and a JNI layer. At the Java layer, the Android Camera 2 API is used to enable a camera to obtain image frames and process images. At the JNI layer, the model inference process is completed .

model_zoo/official/lite/object_detection/README.md

@@ -5,49 +5,67 @@
 ## 运行依赖
 
 - Android Studio >= 3.2 (推荐4.0以上版本)
-- NDK 21.3
-- CMake 3.10
-- Android SDK >= 26
 
 ## 构建与运行
 
-1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。
+1. 在Android Studio中加载本示例源码。
 
     ![start_home](images/home.png)
 
-    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
+    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的`SDK Tools`。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    使用过程中若出现Android Studio配置问题，可参考第4项解决。
+    > Android SDK Tools为默认安装项，取消`Hide Obsolete Packages`选框之后可看到。
+    >
+    > 使用过程中若出现问题，可参考第4项解决。
 
-2. 连接Android设备，运行目标检测示例应用程序。
+2. 连接Android设备，运行该应用程序。
 
-    通过USB连接Android设备调试，点击`Run 'app'`即可在你的设备上运行本示例项目。
-   > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    通过USB连接Android手机。待成功识别到设备后，点击`Run 'app'`即可在您的手机上运行本示例项目。
 
-    ![run_app](images/run_app.PNG)
+    > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    >
+    > Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    >
+    > 手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
 
-    Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    ![run_app](images/run_app.PNG)
 
 3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。
 
     ![install](images/install.jpg)
 
-    如下图所示，检测出图中内容是鼠标。
+    如下图所示，识别出的概率最高的物体是植物。
+
+    ![result](images/app_result.jpg)
+
+4. Demo部署问题解决方案。
+
+    4.1 NDK、CMake、JDK等工具问题：
+
+    如果Android Studio内安装的工具出现无法识别等问题，可重新从相应官网下载和安装，并配置路径。
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
+
+        ![project_structure](images/project_structure.png)
+
+    4.2 NDK版本不匹配问题：
+
+    打开`Android SDK`，点击`Show Package Details`，根据报错信息选择安装合适的NDK版本。
+    ![NDK_version](images/NDK_version.jpg)
 
-    ![result](images/object_detection.png)
+    4.3 Android Studio版本问题：
 
-4. Android Studio 配置问题解决方案可参考下表：
+    在`工具栏-help-Checkout for Updates`中更新Android Studio版本。
 
-    |      | 报错                                                         | 解决方案                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | 在local.properties中指定安装的ndk目录：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | 可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)，并在Project Structure - Android NDK location设置中指定SDK的位置（可参考下图完成） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | 在工具栏-help-Checkout for Updates中更新版本                 |
-    | 4    | SSL peer shut down incorrectly                               | 重新构建                                                     |
+    4.4 Gradle下依赖项安装过慢问题：
 
-    ![project_structure](images/project_structure.png)
+   如图所示， 打开Demo根目录下`build.gradle`文件，加入华为镜像源地址：`maven {url 'https://developer.huawei.com/repo/'}`，修改classpath为4.0.0，点击`sync`进行同步。下载完成后，将classpath版本复原，再次进行同步。
+    ![maven](images/maven.jpg)
 
 ## 示例程序详细说明  
 

model_zoo/official/lite/posenet/README.en.md

@@ -5,52 +5,65 @@ This sample application demonstrates how to use the MindSpore Lite API and skele
 ## Running Dependencies
 
 - Android Studio 3.2 or later (Android 4.0 or later is recommended.)
-- NDK 21.3
-- CMake 3.10
-- Android software development kit (SDK) 26 or later
 
 ## Building and Running
 
-1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.)
+1. Load the sample source code to Android Studio.
 
     ![start_home](images/home.png)
 
-    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding SDK. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
+    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding `SDK Tools`. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    If an Android Studio configuration error occurs, solve it by referring to the following solution table in item 4.
+    > Android SDK Tools is the default installation. You can see this by unchecking the `Hide Obsolete Packages`box.
+    >
+    > If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
 
-2. Connect to an Android device and run the skeleton detection sample application.
+2. Connect to an Android device and runs this application.
 
     Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
-    > During the building, Android Studio automatically downloads dependencies related to MindSpore Lite and model files. Please wait.
 
     ![run_app](images/run_app.PNG)
 
-    For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device>.
+    > Android Studio will automatically download MindSpore Lite, model files and other dependencies during the compilation process. Please be patient during this process.
+    >
+    > For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
+    >
+    > The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings -> system and update -> developer Options -> USB debugging.
 
 3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result.
 
-    ![install](images/install.jpg)
+    ![result](images/app_result.jpg)
 
-    The following figure shows the output of the skeletal detection model.
+4. The solutions of configuration problems:
 
-    The blue points are used to detect facial features and limb bone movement trends. The confidence score of this inference is 0.98/1, and the inference delay is 66.77 ms.
+    4.1 Problems of NDK, CMake, JDK Tools:
 
-    ![sult](images/posenet_detection.png)
+    If the tools installed in Android Studio are not recognized, you can re-download and install them from the corresponding official website, and configure the path.
 
-4. The following table lists solutions to Android Studio configuration errors.
-
-    | | Error | Solution |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | Specify the NDK installation directory in the local.properties file: ndk.dir={NDK installation directory} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | Manually download the corresponding [NDK version](https://developer.android.com/ndk/downloads) and specify the SDK location in the `Android NDK location` field (see the following figure). |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | Choose `Help` > `Checkout for Updates` on the toolbar to update the version. |
-    | 4    | SSL peer shut down incorrectly                               | Rebuild. |
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
     ![project_structure](images/project_structure.png)
 
+    4.2 NDK version does not match:
+
+    Open `Android SDK`, click `Show Package Details`, and select the appropriate NDK version according to the error message.
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Problem of Android Studio version:
+
+    Update the Android Studio version in `Toolbar - Help - Checkout for Updates`.
+
+    4.4 Gradle dependencies installed too slowly:
+
+    As shown in the picture, open the Demo root directory `build. Gradle` file, then add huawei mirror source address: `maven {url 'https://developer.huawei.com/repo/'}`, modify the classpath to 4.0.0 and click ` sync ` . Once the download is complete, restore the classpath version and synchronize it again.
+
+    ![maven](images/maven.jpg)
+
 ## Detailed Description of the Sample Application  
 
 The skeleton detection sample application on the Android device uses the Android Camera 2 API to enable a camera to obtain image frames and process images, as well as using [runtime](https://www.mindspore.cn/tutorial/lite/en/master/use/runtime.html) to complete model inference.

model_zoo/official/lite/posenet/README.md

@@ -5,51 +5,67 @@
 ## 运行依赖
 
 - Android Studio >= 3.2 (推荐4.0以上版本)
-- NDK 21.3
-- CMake 3.10
-- Android SDK >= 26
 
 ## 构建与运行
 
-1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。
+1. 在Android Studio中加载本示例源码。
 
     ![start_home](images/home.png)
 
-    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
+    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的`SDK Tools`。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    使用过程中若出现Android Studio配置问题，可参考第4项解决。
+    > Android SDK Tools为默认安装项，取消`Hide Obsolete Packages`选框之后可看到。
+    >
+    > 使用过程中若出现问题，可参考第4项解决。
 
-2. 连接Android设备，运行骨骼检测示例应用程序。
+2. 连接Android设备，运行该应用程序。
+
+    通过USB连接Android手机。待成功识别到设备后，点击`Run 'app'`即可在您的手机上运行本示例项目。
 
-    通过USB连接Android设备调试，点击`Run 'app'`即可在你的设备上运行本示例项目。
     > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    >
+    > Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    >
+    > 手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
 
     ![run_app](images/run_app.PNG)
 
-    Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
-
 3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。
 
     ![install](images/install.jpg)
 
-    使用骨骼检测模型的输出如图：
+    如下图所示，识别出的概率最高的物体是植物。
+
+    ![result](images/app_result.jpg)
+
+4. Demo部署问题解决方案。
+
+    4.1 NDK、CMake、JDK等工具问题：
+
+    如果Android Studio内安装的工具出现无法识别等问题，可重新从相应官网下载和安装，并配置路径。
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
+
+        ![project_structure](images/project_structure.png)
+
+    4.2 NDK版本不匹配问题：
 
-    蓝色标识点检测人体面部的五官分布及上肢、下肢的骨骼走势。此次推理置信分数0.98/1，推理时延66.77ms。
+    打开`Android SDK`，点击`Show Package Details`，根据报错信息选择安装合适的NDK版本。
+    ![NDK_version](images/NDK_version.jpg)
 
-    ![sult](images/posenet_detection.png)
+    4.3 Android Studio版本问题：
 
-4. Android Studio 配置问题解决方案可参考下表：
+    在`工具栏-help-Checkout for Updates`中更新Android Studio版本。
 
-    |      | 报错                                                         | 解决方案                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | 在local.properties中指定安装的ndk目录：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | 可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)，并在Project Structure - Android NDK location设置中指定SDK的位置（可参考下图完成） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | 在工具栏-help-Checkout for Updates中更新版本                 |
-    | 4    | SSL peer shut down incorrectly                               | 重新构建                                                     |
+    4.4 Gradle下依赖项安装过慢问题：
 
-    ![project_structure](images/project_structure.png)
+   如图所示， 打开Demo根目录下`build.gradle`文件，加入华为镜像源地址：`maven {url 'https://developer.huawei.com/repo/'}`，修改classpath为4.0.0，点击`sync`进行同步。下载完成后，将classpath版本复原，再次进行同步。
+    ![maven](images/maven.jpg)
 
 ## 示例程序详细说明  
 

model_zoo/official/lite/scene_detection/README.en.md

@@ -5,43 +5,64 @@ This sample application demonstrates how to use the MindSpore Lite C++ API (Andr
 ## Running Dependencies
 
 - Android Studio 3.2 or later (Android 4.0 or later is recommended.)
-- NDK 21.3
-- CMake 3.10
-- Android software development kit (SDK) 26 or later
 
 ## Building and Running
 
-1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.)
+1. Load the sample source code to Android Studio.
 
     ![start_home](images/home.png)
 
-    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding SDK. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
+    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding `SDK Tools`. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    If an Android Studio configuration error occurs, solve it by referring to the following table.
+    > Android SDK Tools is the default installation. You can see this by unchecking the `Hide Obsolete Packages`box.
+    >
+    > If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
 
-    | | Error | Solution |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | Specify the NDK installation directory in the local.properties file: ndk.dir={NDK installation directory} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | Manually download the corresponding [NDK version](https://developer.android.com/ndk/downloads) and specify the SDK location in the `Android NDK location` field (see the following figure). |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | Choose `Help` > `Checkout for Updates` on the toolbar to update the version. |
-    | 4    | SSL peer shut down incorrectly                               | Rebuild. |
-
-    ![project_structure](images/project_structure.png)
-
-2. Connect to an Android device and run the scene detection sample application.
+2. Connect to an Android device and runs this application.
 
     Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
-   > During the building, Android Studio automatically downloads dependencies related to MindSpore Lite and model files. Please wait.
 
     ![run_app](images/run_app.PNG)
 
-    For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device>.
+    > Android Studio will automatically download MindSpore Lite, model files and other dependencies during the compilation process. Please be patient during this process.
+    >
+    > For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
+    >
+    > The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings -> system and update -> developer Options -> USB debugging.
 
 3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result.
 
-    ![install](images/install.jpg)
+    ![result](images/app_result.jpg)
+
+4. The solutions of configuration problems:
+
+    4.1 Problems of NDK, CMake, JDK Tools:
+
+    If the tools installed in Android Studio are not recognized, you can re-download and install them from the corresponding official website, and configure the path.
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
+
+    ![project_structure](images/project_structure.png)
+
+    4.2 NDK version does not match:
+
+    Open `Android SDK`, click `Show Package Details`, and select the appropriate NDK version according to the error message.
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Problem of Android Studio version:
+
+    Update the Android Studio version in `Toolbar - Help - Checkout for Updates`.
+
+    4.4 Gradle dependencies installed too slowly:
+
+    As shown in the picture, open the Demo root directory `build. Gradle` file, then add huawei mirror source address: `maven {url 'https://developer.huawei.com/repo/'}`, modify the classpath to 4.0.0 and click ` sync ` . Once the download is complete, restore the classpath version and synchronize it again.
+
+    ![maven](images/maven.jpg)
 
 ## Detailed Description of the Sample Application  
 

model_zoo/official/lite/scene_detection/README.md

@@ -1,53 +1,73 @@
-## MindSpore Lite 端侧场景检测demo（Android）
+# MindSpore Lite 端侧场景检测demo（Android）
 
 本示例程序演示了如何在端侧利用MindSpore Lite C++ API（Android JNI）以及MindSpore Lite 场景检测模型完成端侧推理，对设备摄像头捕获的内容进行检测，并在App图像预览界面中显示连续目标检测结果。
 
-### 运行依赖
+## 运行依赖
 
 - Android Studio >= 3.2 (推荐4.0以上版本)
-- NDK 21.3
-- CMake 3.10
-- Android SDK >= 26
 
-### 构建与运行
+## 构建与运行
 
-1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。
+1. 在Android Studio中加载本示例源码。
 
     ![start_home](images/home.png)
 
-    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
+    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的`SDK Tools`。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    使用过程中若出现Android Studio配置问题，可参考下表解决：
+    > Android SDK Tools为默认安装项，取消`Hide Obsolete Packages`选框之后可看到。
+    >
+    > 使用过程中若出现问题，可参考第4项解决。
 
-    |      | 报错                                                         | 解决方案                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | 在local.properties中指定安装的ndk目录：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | 可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)，并在Project Structure - Android NDK location设置中指定SDK的位置（可参考下图完成） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | 在工具栏-help-Checkout for Updates中更新版本                 |
-    | 4    | SSL peer shut down incorrectly                               | 重新构建                                                     |
+2. 连接Android设备，运行该应用程序。
 
-    ![project_structure](images/project_structure.png)
+    通过USB连接Android手机。待成功识别到设备后，点击`Run 'app'`即可在您的手机上运行本示例项目。
 
-2. 连接Android设备，运行场景检测示例应用程序。
-
-    通过USB连接Android设备调试，点击`Run 'app'`即可在你的设备上运行本示例项目。
-   > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    >
+    > Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    >
+    > 手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
 
     ![run_app](images/run_app.PNG)
 
-    Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
-
-3. 在Android设备上，点击“继续安装”。完成之后即可在手机上体验场景检测功能。
+3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。
 
     ![install](images/install.jpg)
 
-## 示例程序详细说明  
+    如下图所示，识别出的概率最高的物体是植物。
+
+    ![result](images/app_result.jpg)
+
+4. Demo部署问题解决方案。
+
+    4.1 NDK、CMake、JDK等工具问题：
+
+    如果Android Studio内安装的工具出现无法识别等问题，可重新从相应官网下载和安装，并配置路径。
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
-端侧场景检测Android示例程序分为JAVA层和JNI层，其中，JAVA层主要通过Android Camera 2 API实现摄像头获取图像帧，以及相应的图像处理（针对推理结果画框）等功能；JNI层在[Runtime](https://www.mindspore.cn/tutorial/lite/zh-CN/master/use/runtime.html)中完成模型推理的过程。
+        ![project_structure](images/project_structure.png)
 
-> 此处详细说明示例程序的JNI层实现，JAVA层运用Android Camera 2 API实现开启设备摄像头以及图像帧处理等功能，需读者具备一定的Android开发基础知识。
+    4.2 NDK版本不匹配问题：
+
+    打开`Android SDK`，点击`Show Package Details`，根据报错信息选择安装合适的NDK版本。
+    ![NDK_version](images/NDK_version.jpg)
+
+    4.3 Android Studio版本问题：
+
+    在`工具栏-help-Checkout for Updates`中更新Android Studio版本。
+
+    4.4 Gradle下依赖项安装过慢问题：
+
+   如图所示， 打开Demo根目录下`build.gradle`文件，加入华为镜像源地址：`maven {url 'https://developer.huawei.com/repo/'}`，修改classpath为4.0.0，点击`sync`进行同步。下载完成后，将classpath版本复原，再次进行同步。
+    ![maven](images/maven.jpg)
+
+## 示例程序详细说明  
 
 ### 示例程序结构
 

model_zoo/official/lite/style_transfer/README.en.md

@@ -5,55 +5,64 @@ This sample application demonstrates how to use the MindSpore Lite API and MindS
 ## Running Dependencies
 
 - Android Studio 3.2 or later (Android 4.0 or later is recommended.)
-- NDK 21.3
-- CMake 3.10
-- Android software development kit (SDK) 26 or later
 
 ## Building and Running
 
-1. Load the sample source code to Android Studio and install the corresponding SDK. (After the SDK version is specified, Android Studio automatically installs the SDK.)
+1. Load the sample source code to Android Studio.
 
     ![start_home](images/home.png)
 
-    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding SDK. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
+    Start Android Studio, click `File > Settings > System Settings > Android SDK`, and select the corresponding `SDK Tools`. As shown in the following figure, select an SDK and click `OK`. Android Studio automatically installs the SDK.
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    If an Android Studio configuration error occurs, solve it by referring to the following solution table in item 4.
+    > Android SDK Tools is the default installation. You can see this by unchecking the `Hide Obsolete Packages`box.
+    >
+    > If you have any Android Studio configuration problem when trying this demo, please refer to item 4 to resolve it.
 
-2. Connect to an Android device and run the style transfer sample application.
+2. Connect to an Android device and runs this application.
 
     Connect to the Android device through a USB cable for debugging. Click `Run 'app'` to run the sample project on your device.
-    > During the building, Android Studio automatically downloads dependencies related to MindSpore Lite and model files. Please wait.
 
     ![run_app](images/run_app.PNG)
 
-    For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device>.
+    > Android Studio will automatically download MindSpore Lite, model files and other dependencies during the compilation process. Please be patient during this process.
+    >
+    > For details about how to connect the Android Studio to a device for debugging, see <https://developer.android.com/studio/run/device?hl=zh-cn>.
+    >
+    > The mobile phone needs to be turn on "USB debugging mode" before Android Studio can recognize the mobile phone. Huawei mobile phones generally turn on "USB debugging model" in Settings -> system and update -> developer Options -> USB debugging.
 
-3. Continue the installation on the Android device. After the installation is complete, you can view the inference result.
+3. Continue the installation on the Android device. After the installation is complete, you can view the content captured by a camera and the inference result.
 
-    ![install](images/install.jpg)
+    ![result](images/app_result.jpg)
 
-    When using the style transfer demo, you can import or take a photo, select a built-in style to obtain a new photo after inference, and then restore or save the new photo.
+4. The solutions of configuration problems:
 
-    Before style transfer:
+    4.1 Problems of NDK, CMake, JDK Tools:
 
-    ![sult](images/style_transfer_demo.png)
+    If the tools installed in Android Studio are not recognized, you can re-download and install them from the corresponding official website, and configure the path.
 
-    After style transfer:
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
-    ![sult](images/style_transfer_result.png)
+    ![project_structure](images/project_structure.png)
 
-4. The following table lists solutions to Android Studio configuration errors.
+    4.2 NDK version does not match:
 
-    | | Error | Solution |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | Specify the NDK installation directory in the local.properties file: ndk.dir={NDK installation directory} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | Manually download the corresponding [NDK version](https://developer.android.com/ndk/downloads) and specify the SDK location in the `Android NDK location` field (see the following figure). |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | Choose `Help` > `Checkout for Updates` on the toolbar to update the version. |
-    | 4    | SSL peer shut down incorrectly                               | Rebuild. |
+    Open `Android SDK`, click `Show Package Details`, and select the appropriate NDK version according to the error message.
+    ![NDK_version](images/NDK_version.jpg)
 
-    ![project_structure](images/project_structure.png)
+    4.3 Problem of Android Studio version:
+
+    Update the Android Studio version in `Toolbar - Help - Checkout for Updates`.
+
+    4.4 Gradle dependencies installed too slowly:
+
+    As shown in the picture, open the Demo root directory `build. Gradle` file, then add huawei mirror source address: `maven {url 'https://developer.huawei.com/repo/'}`, modify the classpath to 4.0.0 and click ` sync ` . Once the download is complete, restore the classpath version and synchronize it again.
+
+    ![maven](images/maven.jpg)
 
 ## Detailed Description of the Sample Application  
 
@@ -88,7 +97,7 @@ The style transfer sample application on the Android device uses the Android Cam
 
 ### Downloading and Deploying the Model File
 
-Download the model file from MindSpore Model Hub. The objective detection model file used in this sample application is `posenet_model.ms`, which is automatically downloaded during app building using the `download.gradle` script and stored in the `app/src/main/assets` project directory.
+Download the model file from MindSpore Model Hub. The objective detection model file used in this sample application is `style_predict_quant.ms` and `style_transfer_quant.ms`, which is automatically downloaded during app building using the `download.gradle` script and stored in the `app/src/main/assets` project directory.
 
 > If the download fails, manually download the model files [style_predict_quant.ms](https://download.mindspore.cn/model_zoo/official/lite/style_lite/style_predict_quant.ms) and [style_transfer_quant.ms](https://download.mindspore.cn/model_zoo/official/lite/style_lite/style_transfer_quant.ms).
 

model_zoo/official/lite/style_transfer/README.md

@@ -5,55 +5,67 @@
 ## 运行依赖
 
 - Android Studio >= 3.2 (推荐4.0以上版本)
-- NDK 21.3
-- CMake 3.10
-- Android SDK >= 26
 
 ## 构建与运行
 
-1. 在Android Studio中加载本示例源码，并安装相应的SDK（指定SDK版本后，由Android Studio自动安装）。
+1. 在Android Studio中加载本示例源码。
 
     ![start_home](images/home.png)
 
-    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的SDK。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
+    启动Android Studio后，点击`File->Settings->System Settings->Android SDK`，勾选相应的`SDK Tools`。如下图所示，勾选后，点击`OK`，Android Studio即可自动安装SDK。
 
-    ![start_sdk](images/sdk_management.png)
+    ![start_sdk](images/sdk_management.jpg)
 
-    使用过程中若出现Android Studio配置问题，可参考第4项解决。
+    > Android SDK Tools为默认安装项，取消`Hide Obsolete Packages`选框之后可看到。
+    >
+    > 使用过程中若出现问题，可参考第4项解决。
 
-2. 连接Android设备，运行应用程序。
+2. 连接Android设备，运行该应用程序。
+
+    通过USB连接Android手机。待成功识别到设备后，点击`Run 'app'`即可在您的手机上运行本示例项目。
 
-    通过USB连接Android设备调试，点击`Run 'app'`即可在你的设备上运行本示例项目。
     > 编译过程中Android Studio会自动下载MindSpore Lite、模型文件等相关依赖项，编译过程需做耐心等待。
+    >
+    > Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
+    >
+    > 手机需开启“USB调试模式”，Android Studio 才能识别到手机。 华为手机一般在设置->系统和更新->开发人员选项->USB调试中开始“USB调试模型”。
 
     ![run_app](images/run_app.PNG)
 
-    Android Studio连接设备调试操作，可参考<https://developer.android.com/studio/run/device?hl=zh-cn>。
-
-3. 在Android设备上，点击“继续安装”，安装完即可查看到推理结果。
+3. 在Android设备上，点击“继续安装”，安装完即可查看到设备摄像头捕获的内容和推理结果。
 
     ![install](images/install.jpg)
 
-    使用风格迁移demo时，用户可先导入或拍摄自己的图片，然后选择一种预置风格，得到推理后的新图片，最后使用还原或保存新图片功能。
+    如下图所示，识别出的概率最高的物体是植物。
+
+    ![result](images/app_result.jpg)
+
+4. Demo部署问题解决方案。
+
+    4.1 NDK、CMake、JDK等工具问题：
+
+    如果Android Studio内安装的工具出现无法识别等问题，可重新从相应官网下载和安装，并配置路径。
+
+    - NDK >= 21.3 [NDK](https://developer.android.google.cn/ndk/downloads?hl=zh-cn)
+    - CMake >= 3.10.2   [CMake](https://cmake.org/download)
+    - Android SDK >= 26 [SDK](https://developer.microsoft.com/zh-cn/windows/downloads/windows-10-sdk/)
+    - JDK >= 1.8 [JDK](https://www.oracle.com/cn/java/technologies/javase/javase-jdk8-downloads.html)
 
-    原始图片：
+        ![project_structure](images/project_structure.png)
 
-    ![sult](images/style_transfer_demo.png)
+    4.2 NDK版本不匹配问题：
 
-    风格迁移后的新图片：
+    打开`Android SDK`，点击`Show Package Details`，根据报错信息选择安装合适的NDK版本。
+    ![NDK_version](images/NDK_version.jpg)
 
-    ![sult](images/style_transfer_result.png)
+    4.3 Android Studio版本问题：
 
-4. Android Studio 配置问题解决方案可参考下表：
+    在`工具栏-help-Checkout for Updates`中更新Android Studio版本。
 
-    |      | 报错                                                         | 解决方案                                                     |
-    | ---- | ------------------------------------------------------------ | ------------------------------------------------------------ |
-    | 1    | Gradle sync failed: NDK not configured.                      | 在local.properties中指定安装的ndk目录：ndk.dir={ndk的安装目录} |
-    | 2    | Requested NDK version did not match the version requested by ndk.dir | 可手动下载相应的[NDK版本](https://developer.android.com/ndk/downloads?hl=zh-cn)，并在Project Structure - Android NDK location设置中指定SDK的位置（可参考下图完成） |
-    | 3    | This version of Android Studio cannot open this project, please retry with Android Studio or newer. | 在工具栏-help-Checkout for Updates中更新版本                 |
-    | 4    | SSL peer shut down incorrectly                               | 重新构建                                                     |
+    4.4 Gradle下依赖项安装过慢问题：
 
-    ![project_structure](images/project_structure.png)
+   如图所示， 打开Demo根目录下`build.gradle`文件，加入华为镜像源地址：`maven {url 'https://developer.huawei.com/repo/'}`，修改classpath为4.0.0，点击`sync`进行同步。下载完成后，将classpath版本复原，再次进行同步。
+    ![maven](images/maven.jpg)
 
 ## 示例程序详细说明  
 
@@ -88,7 +100,7 @@
 
 ### 下载及部署模型文件
 
-从MindSpore Model Hub中下载模型文件，本示例程序中使用的目标检测模型文件为`posenet_model.ms`，同样通过`download.gradle`脚本在APP构建时自动下载，并放置在`app/src/main/assets`工程目录下。
+从MindSpore Model Hub中下载模型文件，本示例程序中使用的目标检测模型文件为`style_predict_quant.ms`、`style_transfer_quant.ms`，同样通过`download.gradle`脚本在APP构建时自动下载，并放置在`app/src/main/assets`工程目录下。
 
 > 若下载失败请手动下载模型文件，style_predict_quant.ms [下载链接](https://download.mindspore.cn/model_zoo/official/lite/style_lite/style_predict_quant.ms)，以及style_transfer_quant.ms [下载链接](https://download.mindspore.cn/model_zoo/official/lite/style_lite/style_transfer_quant.ms)。