I’m Muthu Kumaran. A current CS grad student currently pursuing my Master’s at the university of Florida. I’m interested in the following project:
1.Project #1: Robotics Academy: new computer vision exercises,
I have completed the Academy challenge and the python game of life programming challenge. Currently working on finishing the C++ challenge before drafting my proposal. My interest revolve around deeplearning and OpenCV. Currently working on a facial emotion
recognition using macro expressions as my side project.
I have few queries regarding this project, can you please clarify them for me?
1.The goal of the project is mentioned as “to design and program several Computer Vision exercises in JdeRobot Academy which cover an image processing introductory course using real cameras.” Do we need to come up with the exercises in
the proposal draft or during the course of the gsoc program or are there a set of exercises you already have in mind?
2.If we have to come up with our exercises, what type of exercises are accepted? Is any of the following exercises accepted - facial recognition, object detection, Gait recognition, emotion recognition, fingerprint recognition, OCR, Iris/retina
3.What should be the end result? Do we need to work on creating a Gazebo world for this project? Any other tips on the deliverables so that I can split the timeline accordingly?