This project is currently just a proposal.
School:Dwarkadas J Sanghvi College Of Engineering
Typical work hours:9AM-9PM IST
Previous GSoC participation: Having used many Beagleboard Products for various projects,it would be an exhilarating opportunity to contribute to Beagleboard and make a significant impact by enhancing the experience of the community providing gretear effeciency and optimisation on th Beaglbonne AI.It would also be a great learning opportunity to learn under the able guidance of the mentors.This is the first time i am participating in GSoC.
About your project
Project name: OpenGLES acceleration for DL
The CPU is the generic workhorse of any computer system. It is designed to handle virtually any task that can be thrown at it, but this flexibility means it’s often not the most efficient way to accomplish specific tasks, especially those that require lots of repeated math functions like video decoding or graphics rendering.
Provide a development timeline with a milestone each of the 11 weeks and any pre-work.
|Mar 30||Proposal complete, Submitted to https://summerofcode.withgoogle.com|
|Apr 27||Proposal accepted or rejected|
|May 18||Pre-work complete, Coding officially begins!|
|May 25||Milestone #1, Introductory YouTube video|
|June 1||Milestone #2|
|June 8||Milestone #3|
|June 15 18:00 UTC||Milestone #4, Mentors and students can begin submitting Phase 1 evaluations|
|June 19 18:00 UTC||Phase 1 Evaluation deadline|
|June 22||Milestone #5|
|June 29||Milestone #6|
|July 6||Milestone #7|
|July 13 18:00 UTC||Milestone #8, Mentors and students can begin submitting Phase 2 evaluations|
|July 17 18:00 UTC||Phase 2 Evaluation deadline|
|July 20||Milestone #9|
|July 27||Milestone #10|
|August 3||Milestone #11, Completion YouTube video|
|August 10 - 17 18:00 UTC||Final week: Students submit their final work product and their final mentor evaluation|
|August 17 - 24 18:00 UTC||Mentors submit final student evaluations|
Experience and approach
I have good understanding of C,C++,Opengl and Python.I have experience working with various Develeopment Boards like a variety of Arduino,STM and Teensy boards and SBC's like Beaglebone Black,Raspberry Pi and BalenFin.
I have been consistently taking part in all the contests on Hackster.io and had also won a prize in the Deep Learning Superhero Challenge there for my work on Making a People counter using the OPENVINO Toolkit.I have also been a part of the Swadeshi Microprocessor Challenge,where my team has entered the semi-finals for making FPGA accelerated remote vital stats monitoring device to measure SPO2, ECG and pulse rate using a technology called remote-Plethysmography. The video for the same can be found here.
I prior experience working under mentors in techinacal teams of my college. DJS Arya,the team I am a part of designs,manufactures and fabricates a canister satellite for the Cansat Competetion,where I am responsible for the entire sensor subsystem integration,writing flight software code and data telemetry using the zigbee protocol.
In accordance with the project I had implemented a few GLSL sample programs on the Raspberry Pi 4.The documentation can be found here.
I have thoroughly gone through TheOpenGLbook,Deep Learning for Computer Vision and documentation from the Khronos Group which provided me invaluable clarity towards the project.
Hence,I am confident that I will be able to complete the project in the stipulated time.
My belief has always been to ask my mentors only after giving my best towards that respective task and is definitely the way to go in open source.I have been religeously been making notes from all the resources I encounter and based on the discussions with the mentor on irc,which will also help me connect dots and help me figure my way out in any such situation.
However in a case where I am out of resources and my mentor isn't around I will divert my focus towards documentation or towards a part of the project that is not correlated to the part I am stuck with.
In such a case few references i would like to refer are: 1)Deep Learning for Computer Vision
3)The Book of Shaders
4)Research papers in Hardware acceleration,Computer Vision and Deep Learning domain pertaining to the scope of the project.
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.
Is there anything else we should have asked you?