Main Content

Use Python, Zynq and OpenCV to Implement Computer Vision

Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.

In this example, users can understand how to use OpenCV to create a simple tracking example which tracks and identifies differences between frames.

We are going to need to use Arty Z7-20 loaded with PYNQ image. You can learn how to do this through “Programming Python on Zynq FPGA

In addition, the following parts are required.

- Logitech 720P USB web camera
- HDMI Camera e.g. the Apeman 1080P action camera
- Associated cables for HDMI In and Out ports”

Link to article