I didn’t get much work done this week as I had a lot of work in other courses and we were waiting for our hardware to arrive to start collating image and OpenPose data for the classifier.
In the interim I read the AWS specs as well as a few articles on dockerizing the prediction algorithm, the correct form of the data input, and the form of the data output of a fully trained and dockerized prediction model to be able to spec out the data preprocessing that will be necessary for the classifier and clarify the communication protocols necessary for the classifier input/output.
In the coming week I will be finishing the KNN workout classification algorithm and collecting as many data points as I can hopefully to be able to train and test a first iteration by next weekend.