基于NVIDIA Jetson Nano的教育型AI机器人。-Python开发

# JetBot Docker This directory contains scripts to build the JetBot docker containers. ## Quick Start ### Step 1 - Configure System First, call the ``scripts/configure_jetson.sh`` script to configure the power mode and other parameters. ```bash cd jetbot ./scripts/configure_jetson.sh ``` Next, source the ``docker/configure.sh`` script to configure various environment variables related to JetBot docker. ```bash cd docker source configure.sh ``` Finally, if you haven't already, set the default docker runtime to NVIDIA. This is needed to use CUDA related components with the containers. ```bash ./set_nvidia_runtime.sh ``` If needed, you can also set memory limits on the Jupyter container. ```bash export JETBOT_JUPYTER_MEMORY=500m export JETBOT_JUPYTER_MEMORY_SWAP=3G ``` ### Step 2 - Enable all containers Call the following to enable the JetBot docker containers ```bash sudo systemctl enable docker # enable docker daemon at boot ./enable.sh $HOME # we'll use home directory as working directory, set this as you please. ``` Now you can go to ``https://<jetbot_ip>:8888`` from a web browser and start programming JetBot! You can do this from any machine on your local network. The password to log in is ``jetbot``.  > Note: The directory you specify to ``./enable.sh`` will be mounted as a volume in the jupyter container at the location ``/workspace``. This means the work you in the ``/workspace`` folder inside container is saved. This is set to the root directory of Jupyter Lab. Please note, if you work outside of that directory it will be lost when the container shuts down. ## Building Containers If you want to build the containers from scratch, simply call ```bash ./build.sh ```