/KD240-Face-Detection

KD240 Face Detect

  • This article explains how to perform AI face detection on KD240

Last update: 2024/05/18

Download Ubuntu 22.04

You can download the file from the following link Install Ubuntu on AMD | Ubuntu

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Setting Up the SD-Card Image

Use balenaEtcher to burn the downloaded file to the SD card

You can also refer to the official steps for burning

Setting up the SD Card Image (xilinx.com)

Insert the SD card into the SD card slot of the KD240 as shown below

Power on KD240

After powering on as shown below, open MobaXtern and communicate with KD240 via UART

Set Ubuntu environment and download Xilinx package

1. Login credentials

Account: ubuntu
Password: ubuntu

2. Enter the following commands to update and install Kria-PYNQ

sudo apt update
sudo apt upgrade
git clone https://github.com/Xilinx/Kria-PYNQ.git
cd Kria-PYNQ
~~Change line 242 in install.sh ---> cp -r pynq_dpu/kd240_notebooks /root/jupyter_notebooks/ (This issue has been fixed by the manufacturer)~~
sudo bash install.sh -b KD240
sudo reboot
  • After successful installation, you will see the following message

Start Demo

1. Enter the provided URL, e.g., 10.8.3.232:9090/lab, and enter the password: xilinx. You will see the following screen

2. Click on kd240_notebooks

  • Enter run_face_detection.ipynb, where you will find that the file calls faceDetection.py, which in turn imports utils.py
  • Click on the yellow play button in run_face_detection.ipynb to execute the program step by step

Result

  • The results will be displayed on the screen, and you can test with your own images