Category: Maker

Here are some instructions:

I share some demos, tutorials with the community.

In this series, I share pi information.

Video tools:

• ffmpeg to convert to mp4
• online video editor
• youtube

In 2016, I was given a beaglebone black from cfengine to write up instructions to use with Yocto. Originally, they hired me to do this on pi. Promised more work but this was a write up for a conference and was not transparent. The idea was to teach at the 8th grade level. However, as I moved along with instructions, it was clear my own bright 8th grader was having issues following along.

https://www.hackster.io/30847/yocto-on-beaglebone-black-9ae649

I shared the instructions on Hackster instead. This was picked up by Beagle but recently is a 404.

Spoke about privacy and AI. Also discussed 3D printing, copyright and surveillance.

https://law.yale.edu/center-global-legal-challenges/events/past-events-2019-20

https://templates.openoffice.org/en/template/fosdem-presentation-draw-template

I shared the template used for the fosdem talks.

Created the desktop and pi images for Kids on computers. The year before, they had set up a lab but did not know how to truncate an image and needed to find and purchase larger SD cards in Mexico.

At the time I was working remotely for Arizona State University as a consultant. Here is the article with more info:

https://tech.asu.edu/uto-consultant-installs-computer-labs-underserved-area-mexico

This time, I showed the developer in Oaxaca and others how to truncate the image. The instructions are found here on Hackster.

https://www.hackster.io/marcia-wilbur/classroom-in-a-pi-nch-oaxaca-mexico-raspberry-pi-units-75063d

In this article, I demonstrate how to tweak the Deep Learning Developer Kit to work on raspberry pi 3 and use the optimizer and downloader. This was not supported by Intel, but I was able to get this working and the instructions are found on the site. However, the content system was changed so the design is not as original.

https://www.intel.com/content/www/us/en/developer/articles/technical/model-downloader-optimizer-for-openvino-on-raspberry-pi.html