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requesting for integration but not understanding how to integrate #328

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sherazrazadev opened this issue Jul 16, 2023 · 3 comments
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@sherazrazadev
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  • I have searched the HUB issues and found no similar feature requests.

Description

i want to integrate my converted tflite model in android studio project but can't

Use case

for integration in android studio

Additional

No response

@sherazrazadev sherazrazadev added the enhancement New feature or request label Jul 16, 2023
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👋 Hello @skumbler, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

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@github-actions github-actions bot added the Stale label Aug 16, 2023
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Aug 27, 2023
@UltralyticsAssistant
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@skumbler thank you for reaching out with your request about integrating a converted tflite model into your Android Studio project.

To get started with integrating your model, you'll want to follow a few steps:

  1. Prepare Your Model: Ensure your tflite model is properly converted and ready to be used within an Android environment.

  2. Set Up Android Studio: Make sure you have the latest version of Android Studio and the required dependencies in your project, such as the TensorFlow Lite library.

  3. Add Your Model to the Project: Include your tflite model in the appropriate directory within your Android Studio project (typically in the 'assets' directory).

  4. Implement the TensorFlow Lite Android Support Library: Utilize the TensorFlow Lite inference code to load and run your model. This involves creating an Interpreter object and loading the model.

  5. Run Inference: Develop code that preprocesses your input data to match the input expected by the model, runs the model on the data, and then post-processes the model output to interpret the results.

  6. Testing: Make sure to thoroughly test your model's integration to ensure that it's performing as expected within your app.

If you need more detailed instructions and guidelines, consider referring to the official TensorFlow documentation specifically for TensorFlow Lite on Android. While I can't provide direct links here, this documentation should give you step-by-step guidance on the process.

If you run into any specific issues while following the integration steps, feel free to open a new issue with details about the steps you've taken, the code that's causing issues, and any error messages you're receiving. We're here to help you through the integration process.

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