Executing yolo in standalone mode

[Brayan532]

Dear Ultralytics Team,
I hope you are fine wherever you are.
Could you inform me whether it's possible to execute YOLO in standalone mode, i.e. without using the Ultralytics library?

Best wishes.

[UltralyticsAssistant]

👋 Hello @Brayan532, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users, where you can find many Python and CLI usage examples. Many of the common questions and use cases may already have a detailed explanation there!

If this is a 🐛 Bug Report or a feature request, please provide a minimum reproducible example or more details about your specific requirements—this will help us better understand and provide relevant guidance.

If you are inquiring about custom setups or alternative workflows ❓, please share more information about your intended use case, environment, and constraints. Meanwhile, make sure to review our Training Tips for best practices with YOLO models.

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Upgrade

If you'd like to try the latest features and fixes, ensure you've upgraded to the latest ultralytics package within a Python>=3.8 environment with all requirements installed:

pip install -U ultralytics

Environments

YOLO can run in flexible environments, including standalone deployment with pre-trained models. For development and testing, here are verified environments (with required CUDA/CUDNN compatibility):

• Notebooks with free GPU:
• Cloud Deployment options:
  • Google Cloud Deep Learning VM Quickstart Guide
  • Amazon Deep Learning AMI Quickstart Guide
• Docker Images for reproducible setups: See Docker Quickstart Guide

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This is an automated response 🤖, but don't worry! An Ultralytics engineer will assist you further soon. 😊

[glenn-jocher]

@Brayan532 thank you for your question! YOLO models in the Ultralytics repository are integrated with the Ultralytics library, and standalone execution outside this framework is not officially supported. For customized usage, you may need to modify the repository code while adhering to the AGPL-3.0 license.