Neeraj’s Status Report for 3/23/24

The main progress that I have made is looking into the spoter algorithm I found at the end of last week and understanding how it works and how to apply it. It utilizes pose estimation as input, so it fits in well with our current pipeline. However, we would most likely have to retrain the model based on our pose estimation inputs, which I plan to do later this week. There is also the question of integration as well, as I am not entirely sure how this model works for post-training for inference time, which I am also looking to figure out. I have also been looking into our human pose estimation algorithm as of right now. As mentioned in earlier posts, we were looking at adding a more holistic landmarking by including facial features in our HPE algorithm. As such, I have been looking into Mediapipe’s holistic landmarking model. While Mediapipe said that they are planning on updating their holistic model relatively soon, I decided to look at their older GitHub repo and determine what I can do from there. It looks like we should be able to implement it similarly to our hand pose estimation code. We can reduce the number of landmarks that our classification model works off of as well, as we don’t need any info on the lower half of the body.

As such, my plan for the next week is to focus on getting a rough pipeline from HPE to classification. There will be a need to debug, as there always is, but given that we have an HPE model and a classification model with spoter, I am going to be focusing on integrating the two so that they can be later assimilated into the other parts of the pipeline.

I am still slightly behind on my work, as bouncing between various models has resulted in a bit of a setback, even though finding spoter does put me relatively back on. There has been a slight change in work, as Sandra is working on the LLM side of things now after discussing with the team so that I can focus in more on the classification model. As such, getting a rough pipeline working should put me basically back on track with the slightly altered schedule, as I should have the time to debug and workshop the spoter architecture.

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