After finishing these steps, you'll be all set to program JetRacer. Once you're finished, run through the examples.
-
Download the JetCard SD card image jetcard_v0p0p0.img onto a Windows, Linux or Mac desktop machine
You can check it against this md5sum
-
Insert a 32GB+ SD card into the desktop machine
-
Using Etcher select
jetcard_v0p0p0.img
and flash it onto the SD card -
Remove the SD card from the desktop machine
Please note, the password for the pre-built SD card is
jetson
-
Insert the configured SD card into the Jetson Nano module
-
Power on by plugging the USB barrel plug adapter into the USB battery pack
-
Connect your Windows, Linux, or Mac machine to the Jetson Nano via micro USB
-
On your Windows, Linux, or Mac machine, open a browser and navigate to
192.168.55.1:8888
-
Sign in using the default password
jetson
-
Open a terminal in Jupyter Lab by clicking
File
->New
->Terminal
-
In the terminal, type the following command to list available WiFi networks, and find the
ssid_name
of your network.sudo nmcli device wifi list
-
Connect to the selected WiFi network
It should be on the same network that you will be webprogramming from
sudo nmcli device wifi connect <ssid_name> password <password>
-
Note down the WiFi IP address (
inet
) of the WiFi interfacewlan0
returned by the following command. We'll call thisjetson_ip_address
ifconfig
-
Unplug the micro USB cable from the Jetson Nano
-
Close the previous Jupyter Lab browser tab
-
Open a new browser tab and navigate to
http://<jetson_ip_address>:8888
-
Sign in with the password
jetson
Ensure that the Jetson Nano is connected to internet
-
Open a terminal and call the following to install the JetCam Python package.
cd $HOME git clone https://github.com/NVIDIA-AI-IOT/jetcam cd jetcam sudo python3 setup.py install
-
Execute the following command to install the torch2trt Python package
cd $HOME git clone https://github.com/NVIDIA-AI-IOT/torch2trt cd torch2trt sudo python3 setup.py install
-
Execute the following in a terminal to install the JetRacer package
cd $HOME git clone https://github.com/NVIDIA-AI-IOT/jetracer cd jetracer sudo python3 setup.py install
To prevent the Jetson Nano from drawing more power than the battery can supply, we set it to 5W mode
-
Open a terminal and call the following to set 5W mode
sudo nvpmodel -m1
Next, follow run through the examples.