Connect an Arm-based Android phone and run Photo Insight

Connect an Android phone

Enable Developer options and USB debugging on the phone. Connect the phone to your development computer with USB, unlock it, and accept the debugging authorization prompt.

Verify that your phone is listed in adb:

    

        
        
adb devices -l

    

The output lists the authorized phone and its device serial. If the phone reports unauthorized, unlock it and accept the debugging prompt. If the phone doesn’t appear, see Run apps on a hardware device .

Clone the application repository

Clone the repository with Git, then enter the project directory:

    

        
        
git clone https://github.com/arm-education/ai-portal-android-app-image-to-text.git
cd ai-portal-android-app-image-to-text

    

Run the remaining terminal commands from this project directory.

Prepare the Arm AI Portal model downloader

The sample repository includes a downloader for its supported Arm AI Portal model packages. The packages are published by Arm and hosted in Arm’s Hugging Face repositories.

Create a Python virtual environment and install the package used by the downloader:

    

        
        

python3 -m venv .hf-venv
.hf-venv/bin/python -m pip install --upgrade pip huggingface_hub
  

    

    

        
        

python -m venv .hf-venv
.\.hf-venv\Scripts\python.exe -m pip install --upgrade pip huggingface_hub
  

    

The later commands invoke the environment’s Python executable directly, so the PowerShell script-execution policy doesn’t need to be changed.

If Python reports that venv is unavailable on Debian or Ubuntu, install the python3-venv package and rerun the command.

Build and run the Photo Insight application

Use the Gradle wrapper to build and lint the debug APK:

    

        
        

chmod +x gradlew
./gradlew :app:assembleDebug :app:lintDebug
  

    

    

        
        

.\gradlew.bat :app:assembleDebug :app:lintDebug
  

    

You don’t need to install Gradle separately because the repository includes the wrapper.

Install the APK and start Photo Insight:

    

        
        
adb install -r app/build/outputs/apk/debug/app-debug.apk
adb shell am start -n org.arm.learningpath.imageclassification/.MainActivity

    

Photo Insight opens without a model. You can see its three workflows, but you can’t run any of them until you import their matching .tflite or .pte files.

Photo Insight before a model or photo is added

What you’ve accomplished and what’s next

You’ve connected an Arm-based Android phone, prepared the model downloader, and confirmed that Photo Insight builds and starts.

Next, you’ll download an optimized image-classification model from the Arm AI Portal and classify a photo.