vi/guides/model-testing/

[giscus[bot]]

vi/guides/model-testing/

Khám phá các phương pháp hiệu quả để kiểm tra các mô hình thị giác máy tính nhằm đảm bảo chúng đáng tin cậy, hoạt động tốt và sẵn sàng triển khai.

https://docs.ultralytics.com/vi/guides/model-testing/

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We recommend exploring our comprehensive Docs for helpful resources, including guidance on model testing and more. These docs are a great starting point for learning how to effectively test computer vision models to ensure reliability and performance.

If this is a 🐛 Bug Report, please include a minimum reproducible example to help us diagnose the issue. This might include code snippets, configurations, or any relevant logs.

If your post is a ❓ Question about custom training or testing, please provide detailed information, such as any testing data, results, or error messages, and ensure you're following our Tips for Best Training Results.

Here are some helpful ways to engage with the community:

• 💬 For real-time discussions, join us on Discord.
• 🌐 For broader knowledge sharing and discussion, participate on Discourse or our Subreddit.

Upgrade

Ensure you're using the latest version of the ultralytics package to avoid outdated issues. Upgrade it along with all requirements in a Python>=3.8 environment:

pip install -U ultralytics

Environments

You can operate YOLO in any of the following verified environments, which come pre-installed with all necessary dependencies (CUDA, Python, PyTorch, etc.):

• Notebooks:
• Google Cloud Deep Learning VM. Follow the GCP Quickstart Guide.
• Amazon Deep Learning AMI. Follow the AWS Quickstart Guide.
• Docker Image. Use the Docker Quickstart Guide .

Status

Check the status of our Ultralytics CI. If the badge above is green, our CI tests confirm the correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu.

This is an automated response 🤖; an Ultralytics engineer will assist you shortly! 😊