Now that I have a much better codebase to work from, it is enabling me to iterate faster on the core design and features.The main priority is to improve the performance of the predictions so that it’s getting it correct every time.Changed the confidence threshold for the pose predictions from 60% to 35% so now I can see the feedback of all the low confidence predictions as well.Realised if I am to design a prediction smoothing and logic system, I will need to continue to include many different pose classes to be trained into the model - which means maintaining correct volumes of training data for each class as opposed to throwing everything into an “Other” class and just keeping handstands as the primary.I will experiment with this now to see how it works.