Inquiry on Frame Analysis Optimization in Time-Series Model

[Pondiniii]

Hello TeaPearce,

I've been exploring the time-series model you've shared, particularly the process where all 96 frames are passed through EfficientNet whenever a new frame is added and the oldest one is removed. This method "re-processes" the remaining 95 frames which have been processed already.

Could you shed light on the rationale for re-evaluating all frames with EfficientNet each time a new frame is introduced? Additionally, as someone deeply interested in learning and improving AI models, I wonder if there are any optimization strategies that could be implemented to handle this scenario more efficiently. Are there established practices to update the network incrementally or to cache and reuse the analysis of unchanged frames to reduce computational load?

Thank you for your time and for sharing your knowledge. Any guidance for a learner like myself would be greatly appreciated.