My work was focused around pulling together the final presentation components and preparing for the proposal presentation, along with researching and planning the computer vision component of our project
My biggest accomplishment this week was the presentation, I did some reformatting through Sunday night along with rehearsing through Monday and Tuesday. I specifically added in some logos (Scotty dog, and ‘scottyseat’) to our slides and worked some more on our implementation slides
In terms of the overall project itself, my tasks included finding a study room to test in, deciding the final model for the computer vision component and studying OpenCV. As far as the study room, there was no need to look for one as we decided on the ECE lounge study rooms together.
I spent a bit of time going over old OpenCV notes I had and looking through the GitHub depositary for the current object detection model we are looking at, Faster R-CNN. The bulk of my time however was spent trying to rescope our computer vision segment and my portion of the Gantt chart.
With the feedback from the proposal, there were many new specifications to be met so I spent quite a bit of time to figure out what steps I need to take in the next few months to meet MVP.
With the rescoping process, I am a slightly behind on what I planned to study of OpenCV this week but I also now have a better idea of what I can focus on learning for the next week.
In the next week I hope to continue researching OpenCV to have the initial design of the computer vision backend, along with an initial version of the computer vision model up and running. This initial version would be implementing the existing pretrained model.