es/models/rtdetr/

[giscus[bot]]

es/models/rtdetr/

Explore RT-DETR de Baidu, un detector de objetos en tiempo real basado en Vision Transformer que ofrece una gran precisión y una velocidad de inferencia adaptable. Más información en Ultralytics.

https://docs.ultralytics.com/es/models/rtdetr/

[felipe-marelli]

Hi, just a quick question. Is it possible to use a different rt-detr model for training/inference than the ones provided (rtdetr-l.pt, rtdetr-x.pt)?

[glenn-jocher]

@felipe-marelli yes, it is possible to train and use RT-DETR models beyond the provided rtdetr-l.pt and rtdetr-x.pt, but you'll need to either create or obtain a compatible model with the same architecture. Ensure the model's weights align with the RT-DETR structure for compatibility with Ultralytics functions. Let us know if you need clarification!

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We recommend checking out the Ultralytics Docs where you can find detailed information about various models, including RT-DETR, as well as tutorials to help you get started.

If you're encountering issues or have further questions, here are some next steps:

• If this is a 🐛 Bug Report, please provide a minimum reproducible example to assist with debugging.
• If this is a custom training ❓ Question, include detailed information such as dataset examples, training logs, and validation performance, and make sure to follow our Training Tips for the best results.

Feel free to join the Ultralytics community to collaborate and share knowledge:

• Discord 🎧 for real-time discussions
• Discourse for in-depth topics
• Subreddit for broader community engagement

Upgrade

Make sure you’re using the latest version of the ultralytics package to ensure all features and fixes are available. Update it in a Python>=3.8 environment with:

pip install -U ultralytics

This package includes compatibility with PyTorch>=1.8 for optimal performance.

Environments

If you'd like to try out RT-DETR or other models in your environment, you can do so in any of these verified setups:

• Notebooks: Try RT-DETR in the cloud for free
• Google Cloud: Use GCP Deep Learning VM
• Amazon: Start with AWS Deep Learning AMI
• Docker: Deploy using the Docker Quickstart Guide

Status

When the CI badge is green, it indicates all Ultralytics CI tests are passing, verifying functionality across platforms such as macOS, Windows, and Ubuntu.

This is an automated response to address your query. An Ultralytics engineer will follow up soon to provide further assistance. 😊