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Jupyter Notebook
Jupyter Notebook
The LLM630 Compute Kit comes pre-installed with
Jupyter Notebook
to facilitate learning and development. This tutorial provides a simple project example to guide you through using
pyaxengine to run inference with the Yolo11n model for object detection.1.Preparation
Refer to the LLM630 Compute Kit - Config tutorial to learn how to configure the network and file transfer on the LLM630 Compute Kit, and obtain the device’s IP address.
Download the LLM630 Compute Kit Jupyter Notebook project zip file below and extract it.
| Software Version | Download Link |
|---|---|
| llm630_compute_kit_jupyter_project_for_yolo11s_v1.0 | Download |
2.Access Jupyter Notebook
A PC on the same network can access the Jupyter Notebook web page at the device IP address (default port: 8888).
http://{IP}:8888
Click Upload to upload the project files to your workspace, and then double-click to open the project file.
3.Test and Run
Network
This example requires certain dependent packages to be installed over the network, so a stable network connection is needed on the device.
Follow the instructions in the project file, executing code blocks step by step to experience using pyaxengine with the Yolo11n model for object detection.
