This repository is fork from the Kria-PYNQ repo (https://github.com/Xilinx/Kria-PYNQ), which includes changes to the install.sh file so that it runs successfully and installs Pynq 3.0 on a ZCU102 board, with Canonical Ubuntu 22.04 running.
Edits to the README have been made to make reference to the ZCU102 instead of the Kria where appropriate and to help avoid confusion.]
This repository contains the install scripts needed to add PYNQ to your ZCU 102's official Ubuntu SDCard Image. From that installation, a complete Python and Jupyter environment is installed on the Kria SOM along with multiple programmable logic overlays all ready to use.
Follow the steps to Getting Started with Certified Ubuntu 22.04 LTS for Xilinx Devices until you complete the First Boot and Getting Started section
Then install PYNQ on your ZCU102 board. Simply clone this repository from the ZCU102 and run the install.sh script.
git clone https://github.com/Arr-Dee/ZCU102-Pynq-3.0
cd ZCU102-Pynq-3.0/
sudo bash install.shThis script will install the required debian packages, create Python virtual environment and configure a Jupyter portal. This process takes around 25 minutes.
JupyterLab can now be accessed via a web browser <ip_address>:9090/lab or zynqmp:9090/lab. The password is xilinx
Base Overlay [GitHub]
OVERLAYS NOT INCLUDED. DPU-PYNQ tested and works on ZCU102.
This overlay includes support for the KV260's Raspberry Pi camera and PMOD interfaces. A Digilent Pcam 5C camera can be attached to the KV260 and controlled from Jupyter notebooks. Additionally, a variety of Grove and PMOD devices are supported on the PMOD interface - all controllable from a Xilinx Microblaze processor in programmable logic.
This overlay contains a Vitis-AI 1.4.0 Deep Learning Processor Unit (DPU) and comes with a variety of notebook examples with pre-trained ML models.
Composable Pipeline [GitHub]
The Composable pipeline is an overlay with a novel and clever architecture that allow us to adapt how the data flows between a series of IP cores.
One of PYNQ's first overlays, the PYNQ-Helloworld overlay includes an image resizer block in programmable logic. This overlay demonstrates a simple but powerful use of programmable logic HLS blocks to do image processing.
Copyright (C) 2021 Xilinx, Inc
SPDX-License-Identifier: BSD-3 License