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github-actions avatar github-actions commented on June 3, 2024

👋 Hello @dacalloslance123, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

  • Quickstart. Start training and deploying YOLO models with HUB in seconds.
  • Datasets: Preparing and Uploading. Learn how to prepare and upload your datasets to HUB in YOLO format.
  • Projects: Creating and Managing. Group your models into projects for improved organization.
  • Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
  • Integrations. Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
  • Ultralytics HUB App. Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
    • iOS. Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
    • Android. Explore TFLite acceleration on mobile devices.
  • Inference API. Understand how to use the Inference API for running your trained models in the cloud to generate predictions.

If this is a 🐛 Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.

If this is a ❓ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response.

We try to respond to all issues as promptly as possible. Thank you for your patience!

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UltralyticsAssistant avatar UltralyticsAssistant commented on June 3, 2024

@dacalloslance123 hello! 😊

It's great to hear that you're interested in extending the functionality of the Ultralytics HUB application. While the HUB itself is designed to be a platform for managing and deploying AI models, adding custom features such as phone vibration upon obstacle detection would typically involve additional programming outside the scope of the HUB's core features.

For such a specific use case, you would need to develop a custom application or script that interfaces with the HUB's deployed models and utilizes the device's hardware capabilities (like vibration). This would likely involve using the APIs provided by the HUB to get detection results and then programming the device-specific behavior based on those results.

If you're looking for guidance on how to use the HUB's APIs or manage models, you can refer to the Ultralytics HUB Docs for more information. Keep in mind that implementing device-specific features like vibration will require knowledge of the device's operating system and programming APIs.

Thank you for your interest in the Ultralytics HUB, and we're excited to see the community innovate with our platform! 🚀

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kalenmike avatar kalenmike commented on June 3, 2024

@dacalloslance123 We are planning to release the code for the Ultralytics App. This will allow you to create your own custom app. We do currently have our iOS iDetection code open sourced.

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sergiossm avatar sergiossm commented on June 3, 2024

@dacalloslance123 we're not planning to include that specific feature in the HUB mobile app, but we recently released a Flutter plugin for building your own applications that use Ultralytics YOLO computer vision models. You can find it here

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