zh/integrations/

[giscus[bot]]

zh/integrations/

了解Ultralytics 集成，以简化 ML 工作流、数据集管理、优化模型训练和强大的部署解决方案。

https://docs.ultralytics.com/zh/integrations/

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! It's great to see you're exploring the integration resources we offer. For a deep dive into how Ultralytics can simplify ML workflows, manage datasets, optimize model training, and enhance deployment solutions, be sure to check out the official Integrations Documentation 📚.

If this is a 🐛 Bug Report, we kindly ask that you provide a minimum reproducible example to help us debug it effectively.

If you have specific ❓questions or need additional guidance on leveraging integrations in your workflows, please share more details so we can better assist. Don’t forget to explore our Tips for Best Training Results for optimization strategies.

Join the Ultralytics community where it suits you best:

• For real-time discussions, join our Discord 🎧.
• Dive deep into feedback and conversations on our Discourse.
• Engage with other enthusiasts on our Subreddit.

Upgrade

Ensure that you’re using the latest ultralytics package by upgrading and installing all required dependencies in a Python>=3.8 environment with PyTorch>=1.8:

pip install -U ultralytics

Environments

We support running YOLO in various up-to-date environments (with all required dependencies preinstalled). You can get started quickly in any of the following:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM: Follow the GCP Quickstart Guide
• Amazon Deep Learning AMI: See the AWS Quickstart Guide
• Docker Image: Set up using the Docker Quickstart Guide

Status

A green badge indicates all Ultralytics CI tests are currently passing. CI tests ensure the reliability of all YOLO Modes and Tasks across macOS, Windows, and Ubuntu platforms.

This is an automated response, but don’t worry—a member of the Ultralytics team will be here to assist you shortly 😊!