61 lines
2.2 KiB
Markdown
61 lines
2.2 KiB
Markdown
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# Android Demo quick start
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### 1. Install the latest version of Android Studio
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It can be downloaded from https://developer.android.com/studio . This Demo is written by Android Studio version 4.0.
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### 2. Create a new project
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The NDK version 20b is used in the demo test, and the compilation can be successfully supported for version 20 and above.
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If you are a beginner, you can install and test the NDK compilation environment in the following ways.
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File -> New ->New Project to create "Native C++" project
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1. Start a new Android Studio project
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Select Native C++ in the project template, select Paddle OCR/deploy/android_demo path
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After entering the project, it will be automatically compiled. The first compilation
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will take a long time. It is recommended to add an agent to speed up the download.
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**Agent add:**
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Android Studio -> Perferences -> Appearance & Behavior -> System Settings -> HTTP Proxy -> Manual proxy configuration
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2. Start compilation
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Click the compile button, connect the phone, and follow the instructions of Android Studio to complete the operation.
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When you see the following picture in Android Studio, the compilation is complete:
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**Tip:** At this time, if the following error message that OpenCV cannot be found appears, please re-click compile,
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exit the project after compiling, and enter again.
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### 3. Send to mobile
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Complete the compilation, click Run, and check the effect on the mobile phone.
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### 4. How to customize the demo picture
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1. Image storage path: android_demo/app/src/main/assets/images
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Place the custom picture under this path
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2. Configuration file: android_demo/app/src/main/res/values/strings.xml
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Modify IMAGE_PATH_DEFAULT to a custom picture name
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# Get more support
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Go to [EasyEdge](https://ai.baidu.com/easyedge/app/open_source_demo?referrerUrl=paddlelite) to get more development support:
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-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
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-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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