This week, I was able to meet up with Teddy and Alejandro and integrate the machine learning model into the web app and the gantry. The majority of work this week was focused on web app integration and trying to get it back to a higher FPS. Currently, I am training a new model a YOLOv8 OBB Nano (instead of medium). I think with this model we can reduce the amount of latency. I also
Currently, I am behind schedule a little because we still need to integrate the work a bit more with the gantry. We plan on finishing this up for the metrics for this week’s presentation.
As I designed, implemented, and debugged my project, I found it necessary to learn about tools that help with machine learning model deployment. I gained first hand experience with ONNX and TensorRT. I mostly learned these tools from the documentation and misc ‘stackoverflow’-esque developer forms. I feel like being able to navigate allows us to learn these new tools quickly as it is based on other people’s experience.