usage/cli/

[giscus[bot]]

usage/cli/

Explore the YOLO11 command line interface (CLI) for easy execution of detection tasks without needing a Python environment.

https://docs.ultralytics.com/usage/cli/

[arasul42]

Is there a way to pass the hypeparameter file in CLI during training?

[glenn-jocher]

@arasul42 yes, you can pass a hyperparameter file in the CLI using the cfg argument, like this: yolo train cfg=your_hyperparameters.yaml.

[UltralyticsAssistant]

👋 Hello, thank you for engaging with the Ultralytics community 🚀!

It looks like you're interested in exploring the YOLO11 command line interface (CLI). We recommend checking out our CLI Usage Documentation for comprehensive guidance and examples that can help you get started.

If this is a 🐛 Bug Report related to CLI usage, please provide a minimum reproducible example to aid in debugging.

If you have any questions or need assistance with custom training ❓, ensure you include detailed information like command outputs and configurations. You can also review our Tips for Best Training Results.

Join our community on Discord for real-time support 🎧, check out our Discourse for detailed discussions, or connect on our Subreddit to exchange ideas with other enthusiasts.

Upgrade

Ensure you are using the latest version by upgrading the ultralytics package along with all requirements to avoid any outdated issues:

pip install -U ultralytics

Environments

To run YOLO in well-supported environments, consider these options:

• Notebooks with free GPU support:
• Cloud environments: Refer to our quickstart guides for Google Cloud and AWS.
• Docker: Utilize our Docker Quickstart Guide .

Status

This badge indicates if all Ultralytics CI tests are passing. CI tests ensure functionality across macOS, Windows, and Ubuntu and are run daily and on every commit.

This is an automated response, but an Ultralytics engineer will join the conversation shortly to provide more insights.

[sakrig]

Apple's NeuralEngine API accelerates models for all new Apple products with the M4 chips.

Does the IOS CLI app use the NeuralEngine for all Apple M4 products?
Does Ultralytics support the M4 processor on the latest Mac, MacMini, Mac Pro, iPad, iPhone ...?

Seems straight forward to support the M4 NeuralEngine for all Apple products, but I have not tried.

[glenn-jocher]

@sakrig ultralytics YOLO models can be exported to CoreML format for Apple devices, which leverages Apple's native acceleration including NeuralEngine where available. For M4 support, ensure you're using the latest PyTorch versions with macOS MPS backend. See our CoreML export docs for implementation details.