fr/integrations/

[giscus[bot]]

fr/integrations/

Découvrez les intégrations Ultralytics pour rationaliser les flux de travail de ML, la gestion des ensembles de données, l'entraînement optimisé des modèles et les solutions de déploiement robustes.

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

[UltralyticsAssistant]

👋 Hello, thank you for sharing this discussion on Ultralytics 🚀! For more information about integrations, we encourage you to explore the Integrations Documentation, where you'll find detailed guides to streamline your machine learning workflows, optimize model training, manage datasets, and deploy robust solutions.

If this post is related to a 🐛 Bug Report, please provide a minimum reproducible example to help us investigate the issue efficiently.

If it's a custom ❓ Question about integrations or other functionalities, please include as much information as possible. This could involve specific use cases, your ML setup, or any other relevant details to provide context.

For community support, consider joining real-time discussions on Discord 🎧, diving into threads on our Subreddit, or discussing in-depth topics on Discourse.

Upgrade

Make sure you're using the latest ultralytics version along with all requirements. This can resolve potential compatibility issues:

pip install -U ultralytics

Environments

YOLO integrations perform best in one of the following verified and up-to-date environments:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

A green badge indicates that all Ultralytics CI tests are passing. The CI runs daily and upon every commit to validate YOLO Modes and Tasks on macOS, Ubuntu, and Windows.

This is an automated response. Rest assured that one of our Ultralytics engineers will assist you shortly for further support! 😊