pil | Python Imaging Library | Computer Vision library

Seems to be a prime case for fancy indexing (advanced indexing).

Something like this should do the trick, though I didn't verify it on an actual image. I've added a section to reconstruct the image in the beginning, because it is easier to work with the array as a whole than broken into parts. Likely, you can refactor this and avoid splitting it to begin with.

So I use another library to solve this problem: OpenCV-python

We got have also the detection of segments( which are not disjoint) but with a hierarchy with the function findContours. The hierarchy is useful since the function detects different polygons. This implies no problems of connections we could have with the other method like explain in the post

Here's some demonstration code to convert an existing RGB image to some indexed color image. Please keep in mind, that Pillow only allows storing 256 different colors in some color palette, cf. Image.putpalette. So, make sure to have your input images not containing more than 256 different colors.

Also, I will assume, that the palette is known before, and that all colors in the existing RGB image are exclusively from that palette. Otherwise, you'd need to add code for extracting all colors, and setting up a proper palette beforehand.

It seems the text attribute isn't preserved when doing a copy of targetImage. So, if you need the image without the additional metadata at runtime, just make a copy.

On the other hand, you can save targetImage again, but without using the pnginfo attribute. After opening, the text attribute is present, but empty. Maybe, in the save call, pnginfo=None is implicitly set!?

Here's some code for demonstration:

I don't have that golden circle image that you had, so not entirely certain what it's supposed to look like. I know it's a spiral, but I don't know if you're trying to keep it's aspect-ratio during resize.

Also, I couldn't get it to display on the canvas. Don't know why that would be, but I know how to put images on tk.Button or tk.Label, so that's what I did for now. Display it however you want, but the main question was how to print out those coordinates, so you'll notice a couple print() statements that should show what you're looking for.

You need to load the extension using the name which matches the filename, i.e. bot.load_extension('fun').

As for the "self is not defined" error, that is because you declared your class as a subclass of self, which is not defined. Instead, do the following:

Try this:

It seems the module pdfplumber does the work: