ar/guides/trackzone/

[giscus[bot]]

ar/guides/trackzone/

اكتشف كيف تستفيد TrackZone من Ultralytics YOLO11 لتتبع الأجسام بدقة داخل مناطق محددة، مما يتيح رؤى في الوقت الفعلي لتحليل الحشود والمراقبة والمراقبة المستهدفة.

https://docs.ultralytics.com/ar/guides/trackzone/

[UltralyticsAssistant]

👋 Hello, thank you for sharing your discussion and interest in Ultralytics 🚀! For new users, we recommend exploring the Docs, where you can access a range of helpful resources, including Python and CLI examples, as well as detailed guides like the one you mentioned.

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

If this is a custom training ❓ Question or a feedback post about the TrackZone guide, please include as much relevant context as possible, such as use case details, any encountered issues, or suggestions for improvement.

We also invite you to join the Ultralytics community where it best suits you! For real-time discussions, visit our Discord 🎧. You can also participate in detailed topics on our Discourse forum or engage with other users on our Subreddit.

Upgrade

To ensure you’re using the latest tools, upgrade your ultralytics package along with all dependencies. Please verify you are running in a Python>=3.8 environment with PyTorch>=1.8:

pip install -U ultralytics

Environments

YOLO can be run in various verified environments with preinstalled configurations for CUDA/CUDNN, Python, and PyTorch:

• Notebooks with free GPU:
• Google Cloud: Follow our GCP Quickstart Guide
• Amazon Web Services: Use the AWS Quickstart Guide for streamlined setup
• Docker Image: Refer to the Docker Quickstart Guide

Status

All CI tests, which validate YOLO Modes and Tasks on macOS, Windows, and Ubuntu, are passing if this badge is green, indicating a stable release.

An Ultralytics engineer will assist you soon! 🚀