This week, I mostly focused on setting up the codebase for our card detection model. I started writing some of the key functions we’ll need and did some research into good backbone models—I’m leaning towards ResNet because it seems reliable and effective. Progress was a bit slow due to the ongoing hardware issues, but at least we’ve got a solid foundation now, so we’ll be able to move quickly once we get the Raspberry Pi 5. I’ll share the code once it reaches a more usable stage.
Next week, I plan to finish up the model and run some early tests to make sure everything is working well with our dataset. That way, as soon as the Raspberry Pi 5 is here, we can dive right into training and deployment.