# Build and run sample applications

Source: [https://docs.qualcomm.com/doc/80-63195-1/topic/Build-and-run-sample-applications.html](https://docs.qualcomm.com/doc/80-63195-1/topic/Build-and-run-sample-applications.html)

## Before you begin
You should finish setting up the following to build the demos.
1. ADB setup: [https://developer.android.com/studio/command-line/adb](https://developer.android.com/studio/command-line/adb).
2. Download and install  [Android Studio](https://developer.android.com/studio).
3. Download and set up [Android NDK](https://developer.android.com/ndk) Version r25c.
4. Download and install Android SDK (SDK version 23 and build tools version 23.0.2)
5. Either Caffe, Caffe2, ONNX, PyTorch, TensorFlow or TensorFlow Lite.
6. Ensure Android SDK and NDK environment variables are properly set.

## About this task
Once you have set up all software requirements for the Android application development
      environment, load the demo project in Android Studio, compile the project into an APK, and run
      the sample application. You will need these items to run the sample application:
- [Qualcomm Neural Processing SDK](https://developer.qualcomm.com/sites/default/files/docs/snpe/index.html) release binary
- Model binaries. Steps to generate model binaries are provided with each sample
          application.

## Procedure

1. Launch Android Studio. Select File<abbr title="and then"> &gt; </abbr>Open Project and select a project. Click OK.
        
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)
2. From the Android Studio menu, select Build<abbr title="and then"> &gt; </abbr>Build APK.
        
The output APK Is generated at
          /app/build/outputs/apk/debug.
3. Install the APK on the development kit: adb install
4. Run the application from the Android UI.
        
For an overview of how the demos should look, refer to the Individual readme pages on
          GitHub. A demo GIF is provided for each demo, for reference.

**Parent Topic:** [Qualcomm Neural Processing SDK for AI](https://docs.qualcomm.com/doc/80-63195-1/topic/Qualcomm-Neural-Processing-SDK-for-AI.html)

## Rebuild a sample application with a newer version of the  Qualcomm® 
      Neural Processing SDK

Source: [https://docs.qualcomm.com/doc/80-63195-1/topic/Build-and-run-sample-applications.html](https://docs.qualcomm.com/doc/80-63195-1/topic/Build-and-run-sample-applications.html)

### About this task
Current APKs are built with SDK release version 2.10.x. To rebuild, and run the APK
        with a newer SDK release:

### Procedure

1. Verify whether the [<dfn class="term abbreviated-form">Deep Learning Container (DLC)</dfn>](https://docs.qualcomm.com/doc/80-63195-1/topic/Deep-Learning-Container--DLC-.html) model works with newer SDK
            version. If not, re-convert the model binary to DLC using the newer SDK.
2. Update the SDK release AAR binary file in the APK source path.
3. For an application to work properly, use a single version of the SDK and copy the SDK
            AAR from the release to the application source path. Use this SDK version to convert
            model to DLC.
          
If the DLC was converted with a different SDK version (other than the SDK AAR
            binary) – results are unpredictable.

Last Published: May 16, 2024

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