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content/learning-paths/smartphones-and-mobile/build-android-selfie-app-using-mediapipe-multimodality/6-flow-data-to-view-1.md

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## Visualize face and gesture results
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To visualize the results of Face Landmark Detection and Gesture Recognition tasks, based on [MediaPipe's samples](https://github.com/google-ai-edge/mediapipe-samples/tree/main/examples) follow the intructions in this section.
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To visualize the results of Face Landmark Detection and Gesture Recognition tasks, based on [MediaPipe's samples](https://github.com/google-ai-edge/mediapipe-samples/tree/main/examples) follow the instructions in this section.
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1. Create a new file named `FaceLandmarkerOverlayView.kt` and copy the content below:
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content/learning-paths/smartphones-and-mobile/build-android-selfie-app-using-mediapipe-multimodality/7-flow-data-to-view-2.md

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5. Build and run the app again.
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Now you should see two switches on the bottom of the screen as shown below, which turn on and off while you smile and show thumb-up gestures. Good job!
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![indicator UI](images/7/indicator%20ui.png)
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![indicator UI alt-text#center](images/7/indicator%20ui.png "Figure 8: Indicator UI.")
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## Recap on SharedFlow vs StateFlow
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content/learning-paths/smartphones-and-mobile/build-android-selfie-app-using-mediapipe-multimodality/9-avoid-redundant-requests.md

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{{% notice Note %}}
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Furthermore, if you remove the `viewModel.onPhotoCaptureComplete()` to simulate something going wrong upon photo capture, the camera won't become available ever again.
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Furthermore, if you remove the `viewModel.onPhotoCaptureComplete()` to simulate something going wrong during photo capture, the camera will not become available again.
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However, silently failing without notifying the user is not a good practice for app development. Error handling is omitted in this learning path only for the sake of simplicity.
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{{% /notice %}}
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## Further resource for support: entire sample code on GitHub
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## Further resource for support: complete sample code on GitHub
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If you run into any difficulties completing this Learning Path, you can check out the [complete sample code](https://github.com/hanyin-arm/sample-android-selfie-app-using-mediapipe-multimodality) and import it into Android Studio.
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If you run into any difficulties completing this Learning Path, you can check out the [complete sample code](https://github.com/hanyin-arm/sample-android-selfie-app-using-mediapipe-multimodality) on GitHub and import it into Android Studio.
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If you discover a bug, encounter an issue, or have suggestions for improvement, please feel free to [open an issue](https://github.com/hanyin-arm/sample-android-selfie-app-using-mediapipe-multimodality/issues/new) with detailed information.

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