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z{a(M20~A6kKP;<3sei-~-*@*TZu)0$(|1XD#r-Rd)k>6q`pS=;k5G{cR%01T{{~PX zl@iTK1Fv@O`nx3lEdBh-K)-DDYBBS-jI(s2IS#FZ2ERdxHOZE)y}bL)NwX X<(qQ~4^{pm{m9FxJT81>67>H8p7yjQ literal 0 HcmV?d00001 diff --git a/doc/doc_ch/android_demo.md b/doc/doc_ch/android_demo.md new file mode 100644 index 00000000..41765a04 --- /dev/null +++ b/doc/doc_ch/android_demo.md @@ -0,0 +1,57 @@ +# 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 -- GitLab