This is the project 2 solution for 1st IPC-SHM. Read our project report for detailed introduction.
Step 1: Run toLabel.m. This will transform original label.m document into a more readable label_r.m document.
Step 2: Run toCSV.py. This will get you data and labels in one day, which respectively has a size of (72000, 912) and (1, 912)
Step 3: Run NN.py. Train with NN and clever Manual approach.
numpy, pandas, cvxopt, prettytable, hdf5storage