This repository contains a "Hello World" introduction application to the Xilinx PYNQ framework.

The design illustrates how to run a resizer IP to resize an image on the FPGA. There are two notebooks that illustrate the resize operation. One notebook shows the image resizing done purely in software using Python Image Library. The second notebook shows the resize operation being performed in the programmable logic using a resizer IP from the Xilinx xfopencv library. https://github.com/Xilinx/xfopencv/tree/master/examples/resize

Open a terminal on your PYNQ board and run:

Currently this repository is compatible with pynq package v2.7.0.

Go to your jupyter home folder (on edge boards, this is /home/xilinx/jupyter_notebooks), and run the following to deliver the notebooks:

The -p option specifies the target folder location. Then you should be able to try the notebooks!

Currently this repository is supporting:

• Zynq-7000 boards: Pynq-Z1, Pynq-Z2, etc.
• Zynq Ultrascale boards: KV260, Pynq-ZU, Ultra96, ZCU104, etc.
• PCIE Alveo cards: U200, U250, U280.
• AWS F1 instance: VU9P.

For AWS, a few additional steps are required to generate the *.awsxclbin file. For more information, you can check the README.md inside boards/VU9P/resizer.

PYNQ License : BSD 3-Clause License