Run an Arm AI Portal depth estimation model on Android
Introduction
Prepare the Android command-line tools
Connect an Arm-based Android phone and build Image Analysis
Download and stage Depth Anything V2 Small
Run and validate depth estimation
Next Steps

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Download the model artifact

Return to the cloned application directory. Download the exact Arm-optimized .pte file from Hugging Face:

    

        
        

export MODEL_ID="depth-anything-v2-small-int8-xnnpack-executorch-vivo-x300"
export MODEL_FILE="depth_anything_v2_small_executorch_optimized.pte"
export MODEL_DIR="model/$MODEL_ID"

.hf-venv/bin/hf download "Arm/$MODEL_ID" "$MODEL_FILE" \
    --local-dir "$MODEL_DIR"
test -f "$MODEL_DIR/$MODEL_FILE"
  

    

    

        
        

$MODEL_ID = "depth-anything-v2-small-int8-xnnpack-executorch-vivo-x300"
$MODEL_FILE = "depth_anything_v2_small_executorch_optimized.pte"
$MODEL_DIR = "model\$MODEL_ID"

.\.hf-venv\Scripts\hf.exe download "Arm/$MODEL_ID" $MODEL_FILE `
    --local-dir $MODEL_DIR
Test-Path "$MODEL_DIR\$MODEL_FILE"

The final check has no output on macOS or Linux when the file exists. It returns True on Windows. If Hugging Face requests authentication, sign in with the virtual-environment executable:

    

        
        

.hf-venv/bin/hf auth login
  

    

    

        
        

.\.hf-venv\Scripts\hf.exe auth login

Use a read token when prompted, then rerun the download command.

The artifact is an INT8 ExecuTorch program. It doesn’t contain an Android executable. The application APK contains the ExecuTorch 1.3.1 runtime and its arm64 native libraries.

Copy the model into application-private storage

Copy the file through /data/local/tmp, then remove that temporary device copy:

    

        
        

export ANDROID_PACKAGE="com.arm.learningpath.imagetoimage"

adb push "$MODEL_DIR/$MODEL_FILE" "/data/local/tmp/$MODEL_FILE"
adb shell "run-as $ANDROID_PACKAGE mkdir -p files/models/$MODEL_ID"
adb shell "run-as $ANDROID_PACKAGE cp /data/local/tmp/$MODEL_FILE files/models/$MODEL_ID/$MODEL_FILE"
adb shell "run-as $ANDROID_PACKAGE ls -l files/models/$MODEL_ID/$MODEL_FILE"
adb shell rm "/data/local/tmp/$MODEL_FILE"
  

    

    

        
        

$ANDROID_PACKAGE = "com.arm.learningpath.imagetoimage"

adb push "$MODEL_DIR\$MODEL_FILE" "/data/local/tmp/$MODEL_FILE"
adb shell "run-as $ANDROID_PACKAGE mkdir -p files/models/$MODEL_ID"
adb shell "run-as $ANDROID_PACKAGE cp /data/local/tmp/$MODEL_FILE files/models/$MODEL_ID/$MODEL_FILE"
adb shell "run-as $ANDROID_PACKAGE ls -l files/models/$MODEL_ID/$MODEL_FILE"
adb shell rm "/data/local/tmp/$MODEL_FILE"

The ls output shows the model in files/models/depth-anything-v2-small-int8-xnnpack-executorch-vivo-x300/. The application has no Internet permission and can’t access your Hugging Face credentials.

What you’ve accomplished and what’s next

You’ve downloaded the exact model and placed it in application-private storage.

Next, you’ll generate and validate relative-disparity maps.

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