BeagleBoard/GSoC/2021 Proposal/TensorFlow Lite Compatability

=ProposalTemplate =

About Student: Leah Pillsbury Mentors: Jason Kridner Code: https://github.com/deebot/Beaglebone-BidirectionBus Wiki: http://elinux.org/BeagleBoard/GSoC/ProposalTemplate GSoC: GSoC entry

=Status= This project is currently just a proposal.

=Proposal= Please complete the requirements listed on the ideas page and fill out this template.

About you
IRC: lpillsbury Github: lpillsbury School: Pasadena City College and Boston University before that Country: United States Primary language : English Other languages : Spanish, Swahili, Hebrew, some Hindi/Urdu, Telugu, Bengali Typical work hours : 9AM-5:30PM US Pacific, though I may be on Eastern time part of the summer Previous GSoC participation: I've never participated in GSOC; I am interested to do so to learn more about embedded software, improve my coding skills, and participate in the community. I use open source tools all the time, and it is really exciting to make something useful that other people would use too.

About your project
Project name: TensorFlow Lite Compatability with BeagleBone AI

Description
In 10-20 sentences, what are you making, for whom, why and with what technologies (programming languages, etc.)? (We are looking for open source SOFTWARE submissions.) While the specs of BeagleBone AI are awesome, it seems limiting for an AI board for the general public to not be able to access TensorFlow Lite. I would like to change that by choosing a current release of TensorFlow, and writing the code necessary to run it on the Arm M4 processors that the BeagleBone AI board has, and that should work with TensorFlow Lite. This project will be a combination of C coding, dealing with the Linux kernel, and doing some example cases with TensorFlow Lite in python.

Ideally, I'd spend the first few weeks getting TensorFlow Lite working on a BBAI, document my hacking process, and then create a smooth stable way to make it work more out of the box. Then I'd spend the rest of the time doing examples that would be highlighted both on the BeagleBoard website, and on the TensorFlow Lite Examples page by making a pull request. Given that there are already examples of using TensorFlow Lite on Raspberry Pi, with picamera, the starting point would be to have equivalent BeagleBone examples, most likely doing image capture through OpenCV (OpenCV with BeagleBone Black)

Timeline
Provide a development timeline with a milestone each of the 11 weeks and any pre-work. (A realistic timeline is critical to our selection process.)

Experience and approach
In 5-15 sentences, convince us you will be able to successfully complete your project in the timeline you have described.

Contingency
What will you do if you get stuck on your project and your mentor isn’t around?

Benefit
If successfully completed, what will its impact be on the BeagleBoard.org community? Include quotes from BeagleBoard.org community members who can be found on http://beagleboard.org/discuss and http://bbb.io/gsocchat.

Misc
Please complete the requirements listed on the ideas page. Provide link to pull request.

Suggestions
Is there anything else we should have asked you?