https://github.com/simonprickett/hd-visual-bloom-filter-for-pi

Visual Bloom Filter Project, High Definition! Unicorn Hat HD, Raspberry Pi, Python 3, Flask, Bulma.
https://github.com/simonprickett/hd-visual-bloom-filter-for-pi

bulma flask-application iot pimoroni pimoroni-unicorn-hat-hd probabilistic-data-structures python raspberry-pi

Last synced: 10 days ago
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Visual Bloom Filter Project, High Definition! Unicorn Hat HD, Raspberry Pi, Python 3, Flask, Bulma.

• Host: GitHub
• URL: https://github.com/simonprickett/hd-visual-bloom-filter-for-pi
• Owner: simonprickett
• License: mit
• Created: 2021-09-12T17:13:37.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-01-21T18:28:12.000Z (10 months ago)
• Last Synced: 2024-04-14T23:32:10.791Z (7 months ago)
• Topics: bulma, flask-application, iot, pimoroni, pimoroni-unicorn-hat-hd, probabilistic-data-structures, python, raspberry-pi
• Language: Python
• Homepage: https://simonprickett.dev
• Size: 40 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Visual Bloom Filter - HD Version!

This is an update of my original Raspberry Pi / Pimoroni Unicorn Hat Visual Bloom Filter project.  Check out the [original article on my website](https://simonprickett.dev/visual-bloom-filter-with-raspberry-pi/), and the more complete README for the original [on GitHub](https://github.com/simonprickett/visual-bloom-filter-for-pi).

This version uses the [Pimoroni Unicorn Hat HD](https://shop.pimoroni.com/products/unicorn-hat-hd) in place of the original [Unicorn Hat](https://shop.pimoroni.com/products/unicorn-hat) from the previous project.  The primary difference between the two is that the original Unicorn Hat has 64 individually programmable LEDs (a grid of 8 x 8), while the HD version has 256 (in a 16 x 16 grid arrangement).  The HD version uses a different Python library than the regular Unicorn Hat but this has basically the same API.  As both products are the same size, this means that the LEDs are smaller / more densely packed in the HD version.

Besides the obvious hardware change from the Unicorn Hat to the Unicorn Hat HD, I also swapped the Raspberry Pi model A from the previous project for a [Raspberry Pi model 3B](https://www.raspberrypi.com/products/raspberry-pi-3-model-b/).  The Unicorn Hat HD doesn't require this, I just wanted to keep the previous project intact and had a 3B kicking around unused.

The code for this project (see `app.py`) is very similar to that of the original project.  The primary differences are as follows:

* Use of the `unicornhathd` ([documentation here](https://github.com/pimoroni/unicorn-hat-hd)) library rather than the original `unicornhat` one.

* As there are more LEDs, the bit array that forms the Bloom Filter is larger with the HD product (256 bits rather than 64).  I decided to use 6 hash functions with the HD version rather than 3 from the original.

* I set the brightness setting to a different value for the HD product vs the original.

Other than that, the project's the same as the original so for more detail and a description of what a Bloom Filter is and how it works, check out the [original project's article on my website](https://simonprickett.dev/visual-bloom-filter-with-raspberry-pi/).  I will add a new article and video specifically covering this version of the project at some point in the future...