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

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## 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

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

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## 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

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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 .

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@ -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

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@ -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.

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@ -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

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@ -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

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