BeagleBoard/GSoC/2020Proposal/PrashantDandriyal 2

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The page contains the second proposal to the initial project proposal for YOLO Models on x15/AI. The first proposal can be found here

BeagleBoard/GSoC/Proposal : YOLO models on the X15/AI


A short summary of the idea will go here.

Student: Prashant Dandriyal
Mentors: Hunyue Yau
GSoC entry


This project is currently just a proposal.


Completed the requirements listed on the ideas page and have created a pull request here.

About you

IRC: pradan
Github: PrashantDandriyal
School: Graphic Era University, Dehradun
Country: India
Primary language: English, Hindi
Typical work hours : 12PM-6PM IST
Previous GSoC participation: None. The aim of participation stays bringing inference to edge devices; bringing the computation to the data than the other way round.

About your project

Project name: YOLO models on the X15/AI


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.)


Provide a development timeline with a milestone each of the 11 weeks and any pre-work.

April 27 Pre-Work Community Bonding Period and discussion on the project and resources available.
May 25 Milestone #1, - Introductory YouTube video

- Discuss and decide the scope of the project with the mentors - List and try collecting all the resources (documentation, hardware, etc)

June 1 Milestone #2 - Setup environment for development
June 8 Milestone #3 - Convert and maintain intermediate format models to be used

- Test the model by running inference locally (possibly emulating using executables)

June 19 milestone #4 - Demonstrate improved performance by running local system inferences and comparing with previous works.

- Document it - Submit report for Phase 1 Evaluation

June 22 Milestone #5 - Discuss modifications for the project plan with the mentors
June 29 Milestone #6 - Finalise the model to be used after performance results comparison

- Run first test on BeagleBone board - Document the issues/modifications made

July 6 Milestone #7 - Optimise the image feeding method

- Optimise the other parts of the pipeline

July 13 Milestone #8 - Test on image and video data

- Gather performance results and compare with previous works - Plan scope of second evaluation report

July 17-20 Milestone #9 - Submit second evaluation report

- Look for opportunity to use on-board hardware accelerators to further improve performance - Discuss possible improvements with mentors

July 27 Milestone #10 - Look for potential combination of hardware accelerators and TIDL and document it
August 3 Milestone #11 - Completion YouTube video

- Detailed project tutorial

August 10 - 17 Final week - Get the final report reviewed by mentors and improvise changes advised

- Submit final report

Experience and approach

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


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


If successfully completed, what will its impact be on the community? Include quotes from community members who can be found on and


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


Is there anything else we should have asked you?