未验证 提交 6280caac 编写于 作者: S shaohua.zhang 提交者: GitHub

Merge pull request #9 from PaddlePaddle/develop

update -2020-0803 -V2
# Android Demo 快速测试
### 1. 安装最新版本的Android Studio
可以从 https://developer.android.com/studio 下载。本Demo使用是4.0版本Android Studio编写。
### 2. 创建新项目
Demo测试的时候使用的是NDK 20b版本,20版本以上均可以支持编译成功。
如果您是初学者,可以用以下方式安装和测试NDK编译环境。
点击 File -> New ->New Project, 新建 "Native C++" project
1. Start a new Android Studio project
在项目模版中选择 Native C++ 选择PaddleOCR/depoly/android_demo 路径
进入项目后会自动编译,第一次编译会花费较长的时间,建议添加代理加速下载。
**代理添加:**
选择 Android Studio -> Perferences -> Appearance & Behavior -> System Settings -> HTTP Proxy -> Manual proxy configuration
![](../demo/proxy.png)
2. 开始编译
点击编译按钮,连接手机,跟着Android Studio的引导完成操作。
在 Android Studio 里看到下图,表示编译完成:
![](../demo/build.png)
**提示:** 此时如果出现下列找不到OpenCV的报错信息,请重新点击编译,编译完成后退出项目,再次进入。
![](../demo/error.png)
### 3. 发送到手机端
完成编译,点击运行,在手机端查看效果。
### 4. 如何自定义demo图片
1. 图片存放路径:android_demo/app/src/main/assets/images
将自定义图片放置在该路径下
2. 配置文件: android_demo/app/src/main/res/values/strings.xml
修改 IMAGE_PATH_DEFAULT 为自定义图片名即可
# 获得更多支持
前往[端计算模型生成平台EasyEdge](https://ai.baidu.com/easyedge/app/open_source_demo?referrerUrl=paddlelite),获得更多开发支持:
- Demo APP:可使用手机扫码安装,方便手机端快速体验文字识别
- SDK:模型被封装为适配不同芯片硬件和操作系统SDK,包括完善的接口,方便进行二次开发
# Android Demo quick start
### 1. Install the latest version of Android Studio
It can be downloaded from https://developer.android.com/studio . This Demo is written by Android Studio version 4.0.
### 2. Create a new project
The NDK version 20b is used in the demo test, and the compilation can be successfully supported for version 20 and above.
If you are a beginner, you can install and test the NDK compilation environment in the following ways.
File -> New ->New Project to create "Native C++" project
1. Start a new Android Studio project
Select Native C++ in the project template, select Paddle OCR/deploy/android_demo path
After entering the project, it will be automatically compiled. The first compilation
will take a long time. It is recommended to add an agent to speed up the download.
**Agent add:**
Android Studio -> Perferences -> Appearance & Behavior -> System Settings -> HTTP Proxy -> Manual proxy configuration
![](../demo/proxy.png)
2. Start compilation
Click the compile button, connect the phone, and follow the instructions of Android Studio to complete the operation.
When you see the following picture in Android Studio, the compilation is complete:
![](../demo/build.png)
**Tip:** At this time, if the following error message that OpenCV cannot be found appears, please re-click compile,
exit the project after compiling, and enter again.
![](../demo/error.png)
### 3. Send to mobile
Complete the compilation, click Run, and check the effect on the mobile phone.
### 4. How to customize the demo picture
1. Image storage path: android_demo/app/src/main/assets/images
Place the custom picture under this path
2. Configuration file: android_demo/app/src/main/res/values/strings.xml
Modify IMAGE_PATH_DEFAULT to a custom picture name
# Get more support
Go to [EasyEdge](https://ai.baidu.com/easyedge/app/open_source_demo?referrerUrl=paddlelite) to get more development support:
- Demo APP: You can use your mobile phone to scan the code to install, which is convenient for the mobile terminal to quickly experience text recognition
- SDK: The model is packaged to adapt to different chip hardware and operating system SDKs, including a complete interface to facilitate secondary development
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