For this week, I deployed our YOLOv5 model onto the cloud and used it to run inference on fridge images. Furthermore, I refined our data upload pipeline, though there are some intermittent failures in the cloud upload service which requires more reliable error handling and try mechanisms.
Currently, we are on track and are finalizing the integration of our model with the Raspberry Pi and the cloud pipeline.
For next week, we will be conducting our final presentation. I will work to further improve cloud pipeline reliability and finalize integration between our components for our final demo.