Running on the KV260 Board¶

This tutorial assumes you followed Getting Started with Kria SOM starter Kit. This tutorialS explains the setup required for running designs on the Starter Kit.

Log in as root user.

xilinx-kv260-starterkit-20222:~$ sudo su -l root
#<password>

In the PetaLinux firmware step, you used the fpgamanager class to store the binaries at /lib/firmware/xilinx/tutorial dir. Perform the following steps to view the files:
```
root@xilinx-kv260-starterkit-20222:~# ls /lib/firmware/xilinx/kv260-smartcam/
kv260-smartcam.bit.bin  kv260-smartcam.dtbo  kv260-smartcam.xclbin  shell.json
```
Launch the application.

Before executing the newly installed application available at /opt/xilinx/bin, the FPGA firmware (PL bitstream + device tree overlay + PL drivers) needs to be loaded using xmutil utility commands. Use the following steps to load the image resizing accelerated application firmware on the Vision AI Starter Kit.

Run the following command to list the existing application firmware on the Vision AI Starter Kit. Verify the kv260-smartcam app in the list of apps:
```
xmutil listapps
```
Run the following command to unload the default “kv260-dp” application firmware:
```
xmutil unloadapp 
```
Run the following command to load the image resizing accelerated application firmware. Ignore the warning commands:
```
xmutil loadapp tutorial
```
Run the following command to load the image resizing accelerated application firmware:

NOTE: Ignore the warning commands.
```
xmutil loadapp kv260-smartcam
```

Run the SmartCam Application

Navigate to the Jupyter-notebook directory. Place the AR1335 camera module pointing towards your face, and run the SmartCam Application accelerated app:

cd /opt/xilinx/kv260-smartcam/share/notebooks/ 
ifconfig // Get the ethernet address, which will used in the next step
jupyter-lab --allow-root --ip=10.0.0.63 // open the Jyupter link in the web-browser

Next Steps¶

This completes the Smartcam Application. The next step is Building and Running a Model on the Fly.

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