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
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