Week 9 Progress Update

Week 9 Progress Update

    This week I spent a large amount of time preparing my code to be partially rewritten. I discovered that I actually have to use a slightly different input pipeline and that implementing this pipeline will require me to change a large part of the code. One of the things I often try to do before making big changes to code is clean it up so it is more readable and optimized. In cleaning up my code I changed my data processing code for the fifth time, this time including code that allowed me to make sure the images were valid as well  as processing the binary as python lists before converting it to tensors. I also add some checkpoints in my code to make sure everything was running properly. After all this I am about ready to edit my code and be done with this segment of the research, however I am a little behind task on what I was planning to accomplish, because of this I am planning on implementing only one or two visualization methods instead of the four I had planned. This also means that I will only have about two weeks to analyze the results even if I make good time on the implementation of the visualization methods. I will be in a bit of a rush from now on but I will still probably be able to get everythin done on time with only a few minor cuts.

(above)- The output of the program when set to check my data pipeline. This just lets me make sure that when importing the images the labels and imags don't get mixed up.
(below)- The input code that I have now, it gets filenames then converts the binary to lists and, on another line so that I can access them independently, converts a duplicate of those lists to a specialized list known as a Dataset