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Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.

Home Page: https://qengineering.eu/install-64-os-on-raspberry-pi-zero-2.html

License: BSD 3-Clause "New" or "Revised" License

rpi_64-bit_zero-2-image's Introduction

Raspbeery Pi Zero 2 64-bit OS image

output image

A Raspberry Pi Zero 2 64-bit OS Bullseye with OpenCV, TensorFlow Lite and ncnn

License

Installation.

  • Get a SD-card which will hold the image (min 16 GB).
  • Download the image RPi_64OS_Zero_2.xz (1.7 GByte!) from our Gdrive site.
  • Flash the image on the SD-card with the Imager or balenaEtcher.
  • Insert the SD-card in your Raspberry Pi Zero 2.
  • Wait a few minutes, while the image will expand to the full size of your SD card.
  • No WiFi installed. Password: 3.14

Remarks.

  • You can overclock the Raspberry Pi Zero 2 if your SD-card is not too worn out. 1200 MHz is no problem. Most deep learning examples even work at 1300 MHz.
  • If you are in need of extra space, you can delete the opencv and the opencv_contrib folder from the SD-card. There are no longer needed since all libraries are placed in the /usr/local directory.
  • Please note, the Raspberry Pi Zero 2 is a very new device. Lost of (software) updates can be expected in the coming months.
  • We commit several deep learning benchmarks. Read all about them at our site
  • As explained on the website, you have only 100 MB of free RAM for your applications left once the 64-bit Bullseye is loaded. To enlarge the amount of RAM to more practical sizes, we use a large swapping space. It will wear your SD card when used intensively. It also slows down the performance, as you can see in the graph below. The 64-bit Ubuntu server was faster, but it doesn't have a graphical desktop. Only a terminal input. And for those unfamiliar with Ubuntu, the desktop is only possible with 4 GB of RAM onboard.

output image


Pre-installed frameworks.


WiFi.

Since everyone has a unique password on their WiFi connection, we have not activated the WiFi.
To enable the wireless LAN follow the next steps:

  1. Left click on the Ethernet symbol.

    image

  2. Click "Turn on wireless LAN", and wait a few seconds. Your RPi will scan for available networks.

    image

  3. Left click again on the Ethernet symbol and choose your network.

    image

  4. Give your key, and wait a couple of seconds to let the RPi establish the connection.

    image

  5. Success!

    image

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rpi_64-bit_zero-2-image's People

Contributors

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