This week, I completed writing the code necessary for data collection related to card images and implemented the training pipeline for our model. My implementation allows the model to classify cards accurately within the controlled environment we have established.
Currently, our progress is largely back on track. We’re almost done with printing out the dispenser, so after this I will be able to use it to make the model ‘memorize’ the cards by training it on the exact same environment as the actual deployment.
For next week, I should be done with validating that the model memorizes well on any trained data. Since the camera module is here, I will also deploy it on raspberry pi.