The PYNQ interface is beneficial because you can explore FPGA programming, machine learning, and multimedia processing in a simple and convenient way. And, you can build and customize your own AI pipeline and project using MuseBox in a much easier way.
Firstly, for the setup, you will need a KV260 board, on which is running Ubuntu 22.04 LTS, PYNQ, PYNQ-DPU, and MuseBox.
Therefore, the first step to do is to install Ubuntu 22.04. We are using the latest version from Install Ubuntu on Xilinx | Ubuntu.
Finally, once you finish installing everything we mentioned, MakarenaLabs provides a .so file that should be put on
/usr/local/share/pynq-venv/lib/python3.10/site-packages/. You can request this file by sending an email to
You are now ready to start and create your own AI pipelines.
In order to obtain the license, you need to request the node locker license.
The license is valid for a specific board, so you cannot use the license on a different node.
For the license request, you need to create the license request file. To do that, simply run this command:
This command generates the file
license_request.req in the path
/usr/local . You need to send to us the file via email at
firstname.lastname@example.org with the subject
MuseBox License request and with the message body
I accept your evaluation license agreement.
Our internal system will check if the email is associated to a valid customer, then, according to your signed contract, the system will respond to you with the license file, called
When you receive the license file, you need to place the file in this path: