Team’s Report for 4/20/24

Our project design has changed a lot throughout the last two weeks. Since the pose estimation model was not quantizable for the DPU, it could not be efficiently accelerated on the FPGA. Due to these reasons, even after improving the inference timings of the HPE model, it would make more sense data latency wise to actually run both the HPE and the classification model directly on the Jetson. This was one of our backup plans when we first decided on the project. There are not additional costs to this change. We are currently finishing the integration of the project and then measuring the performance of our final product. One risk is if the Llama LLM API use does not end up working then we will have to quickly switch to another LLM API such as GPT4. There is no updated schedule unless we cannot finish the final demo in the next couple of days.