This week I personally spent much of my time helping and working on the team’s slides for the presentation as well as double checking everything on it since I was our presenter. This meant for me at least other background research took a backseat for the majority of the week until after we had finished. While I felt good about our presentation and the goals we laid out, after it was over I knew that there was still a lot of work to do even before we could achieve our more basic goals so I started looking into OpenCV. Since we had already determined amongst ourselves that we would be using Matlab and Python (which is what we relayed to both our peers and Prof. Sullivan/TAs in the presentation), I started looking up documentation and example code of how we need to use OpenCV to perform tasks outlined in our presentation: streaming video images from the camera, sending those images off to be processed, and then getting them back and restitching the frames into a clear video again. While I don’t have any code yet to perform these tasks, after researching it this past week I’m hoping to start writing some basic scripts to perform the easier elements listed above so that way even if our design changes its hopefully modular enough that the code can still be useful.
Link for how to stream video (but for an RPi): https://automaticaddison.com/how-to-set-up-real-time-video-using-opencv-on-raspberry-pi-4/
OpenCV Documentation: https://docs.opencv.org/master/d6/d00/tutorial_py_root.html
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