zh/guides/streamlit-live-inference/

[giscus[bot]]

zh/guides/streamlit-live-inference/

了解如何使用 Streamlit 和Ultralytics YOLO11 设置实时对象检测应用程序。请按照本指南逐步实施基于网络摄像头的物体检测。

https://docs.ultralytics.com/zh/guides/streamlit-live-inference/

[Vectorvin]

streamlit 这个解决方案可以使用tensorRT格式或者onnx格式吗？似乎程序被写死了

[glenn-jocher]

@Vectorvin 您好！我们的Streamlit解决方案目前主要支持PyTorch格式模型，但您可以通过YOLO的导出功能将模型转换为ONNX格式后使用。具体操作可参考我们的Triton部署文档中的导出步骤：https://docs.ultralytics.com/guides/triton-inference-server/#how-do-i-set-up-ultralytics-yolo11-with-nvidia-triton-inference-server。需要企业级部署支持请访问ultralytics.com/license。

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We recommend a visit to our Documentation where you can explore detailed guides like the one you mentioned, as well as many Python and CLI usage examples.

It looks like you're diving into the 📹 Streamlit live inference setup using the zh/guides/streamlit-live-inference guide. Please ensure you've followed all the implementation steps in the guide and have a working environment set up. If you encounter any issues, providing detailed information or screenshots would help us assist you effectively 👍.

If this is a 🐛 Bug Report, please include a minimum reproducible example to help us debug the issue faster.

Upgrade

Ensure you're using the latest version of the ultralytics package to avoid any outdated issues. Update it in a Python>=3.8 environment with PyTorch>=1.8 by running:

pip install -U ultralytics

For environments that support YOLO usage, the supported options include the following pre-configured GPU-enabled solutions:

• Notebooks:
• Google Cloud Deep Learning VM (GCP Quickstart Guide)
• Amazon Deep Learning AMI (AWS Quickstart Guide)
• Docker Image (Docker Guide)

Community and Support

For in-depth discussions or real-time assistance, connect with our vibrant Ultralytics community:

• Join discussions or reach out for real-time help on Discord 🎧
• Share insights or ask detailed questions on Discourse
• Exchange ideas and dive into discussions on the Subreddit

Status

Keep an eye on the status badge above to verify if all Ultralytics CI tests for YOLO Modes and Tasks on various platforms are passing successfully.

This is an automated response 🤖—an Ultralytics engineer will follow up soon to assist further!