Progress update (2-09-14)

Here's what I did today:

  • Streamlined the code. Got rid of unnecessary steps and modified some others to save some time
  • Generalized the loading of test images to allow for any kind of file name, this way it supports images that belong to a known class as well as images not belonging to any class
  • Modified the data save procedure for an easier evaluation at a glance. 
  • Added tracking of classification, this data gets then displayed and saved in a precision/recall table

Progress (1-09-14)

Today I managed to learn python and make a program that normalizes, crops and reshapes all the images in a folder. This will be used for both the java database and the python testing database.