This week, I worked with my team to finish up the design report. As a result of some nee research, I also switched to the YOLO v7-tiny architecture instead of the YOLO v4 architecture for the obstacle detection model. I have mostly completed the code for the new architecture, but still have a few bugs to work out. I have also finalized on using Microsoft’s Common Objects in Context Dataset, and have collected the labelled images for training, validation, and testing.
My progress is sightly behind schedule as of this week because of the change in the network architecture, but I hope to use the upcoming slack week to get back on schedule.
Next week, I hope to train a small model using a part of the collected images and hope to have some results. I will also finalize the camera module and place the order and hope to start preparing for our demo.