Ting’s Status Report for 3/25/23

This week, we were able to successfully migrate our scripts that were running on Colab to run on the Jetson. We tested with some random water bottle images, and the results were okay, but not great. They would serve the purpose of our classification since our threshold is 0.85. We spent a lot of time after this focusing on getting the camera set up. It’s not going as well as expected, we kept getting a black screen when we booted up the camera stream. We tried multiple different commands,  but even though the Jetson recognized the camera none of the commands could get the stream to show up. I also tried running a script for using CV2, but that wasn’t working either. I met with Samuel to debug, but he thought that we would be better off shifting tracks and using a USB camera instead. We will be trying that next week. We are on schedule with the hardware, all the servos and lights and speaker are coded up and linked to the Arduino. We drew out specific dimensions for the mechanical part, and Prof. Fedder will cut the wood for us. If we get the camera stream working next week and get it integrated with the detect script of YOLOv5 we will be on track with the software.