es/usage/engine/

[giscus[bot]]

es/usage/engine/

Aprenda a personalizar el YOLO11 Trainer para tareas específicas. Instrucciones paso a paso con ejemplos de Python para obtener el máximo rendimiento del modelo.

https://docs.ultralytics.com/es/usage/engine/

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users, where you can find a wealth of information on how to get started. Specifically, it looks like you're referring to the Spanish documentation for customizing the YOLO engine: es/usage/engine/. This guide provides step-by-step instructions with Python examples to help you optimize YOLO for specific tasks. 🌟

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us identify and resolve the issue effectively.

If this is a custom development ❓ question, please share more details about your use case, including code snippets, datasets, or anything else relevant to ensure we can provide the most helpful feedback.

For additional support, we invite you to join the Ultralytics community:

• Engage in real-time discussions on Discord 🎧.
• Dive into in-depth conversations on our Discourse.
• Explore or share knowledge on the Subreddit.

Upgrade

To ensure you're using the latest features and fixes, upgrade to the latest ultralytics version along with its requirements using Python>=3.8 and PyTorch>=1.8 in your environment:

pip install -U ultralytics

Environments

Run YOLO in verified environments with pre-installed dependencies (CUDA/CUDNN, Python, PyTorch):

• Notebooks:
• Google Cloud: Use the GCP Quickstart Guide
• Amazon: Follow the AWS Quickstart Guide
• Docker: Check out the Docker Quickstart Guide

Status

If the badge above is green, all Ultralytics CI tests are passing. CI runs check the correct functionality of YOLO across Modes and Tasks daily and after every commit.

⚠️ Note: This is an automated response to guide you towards helpful resources. An Ultralytics engineer will also assist you here soon. 🛠️