AttributeError: partially initialized module 'ultralytics.models.yolo' has no attribute 'detect' (most likely due to a circular import) about hub

[github-actions]

👋 Hello @RodrigoSeger, 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!

[UltralyticsAssistant]

@RodrigoSeger hi there! 👋 It looks like you're encountering an AttributeError due to a possible circular import issue when trying to use the Ultralytics library. This type of error can sometimes happen when importing modules in a way that they end up trying to import each other, leading to a deadlock where neither can fully load before the other. Here are a couple of suggestions you might find helpful:

1. Check Your Import Statements: Ensure that you're importing the Ultralytics modules in the recommended order and manner as per the documentation. Sometimes, rearranging import statements can resolve circular import issues.

2. Update Ultralytics Package: Although it seems you've installed the Ultralytics package without issues, there might have been updates or fixes released since. Try updating the package to the latest version using your package manager.

3. Environment Check: Make sure that your Python environment is set up correctly and that there are no conflicts between different versions of the packages you've installed. Creating a fresh virtual environment and reinstalling your dependencies might help isolate the issue.

4. Dependencies: Review the list of installed packages for any potential conflicts or incompatible versions that might be causing the problem. You can compare the versions of the critical dependencies like torch, torchvision, numpy, etc., with those recommended by Ultralytics for compatibility.

For more detailed guidelines and troubleshooting tips, please visit our Ultralytics HUB Docs at https://docs.ultralytics.com/hub. If the problem persists even after trying these steps, feel free to provide further details in this issue thread, including any changes or tests you've tried. This will help us assist you more effectively. 🛠️

Thank you for reaching out, and we appreciate your patience as we work through this issue together!