I have a numpy array from a rgb image (64,64,3) and I need to convert each existing rgb combination to one class, represented by an integer value. So that in the end I have an array (64,64) which contains integer values (0-N). These values represent specific rgb combination from the picture. Of course every rgb combination just gets one value. In short: Every color is one class, and every pixel has one fitting class-value (0-N) Obviously its not a big problem, I could just go through each pixel, check the rgb values and if they are not in an "already discovered RGB" tempList, I add these values and give those rgb values an integer value representing the class, otherwise I search in the tempList for the rgb values and give the integer value I wrote down in the List - or something like that. But to be honest, I need to do this for a lot of images and I try to get better with python. So I want to know if someone has a more efficent way to do this? I scrolled through the libaries and boards and couldn't find a good approach. Continue reading...
