I implemented another comparison method based on OCR.

This could be a useful addition in cases where modern game rendering
and visual effects (clutter) cause difficulties to find good comparison
images.

It currently depends on pytesseract and Tesseract-OCR but tests
with EasyOCR have also been conducted. Both seem to get similar good
recognition results. EasyOCR looks like to cause higher CPU load then
tesseract. Tesseract on the other hand is an external dependency that
needs to be installed seperatly.

The text comparison of the expected and recognized string has two modes.
A perfect 1:1 match or the levenshtein ratio.

I also introduced two new file config options:

* Rectangle position (only used for text files)
* FPS limit per text or image file

Please let me know what you think of this feature.

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* rewrite text files to contain the rectangle position
* switch to easyocr since there was no way to use pytesseract or
  tesserocr reliably without PIL
* display text that is searched for
* set default FPS limit for OCR to 1
* minor fixes

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* switch back to tesseract
* ditch all python binding libraries to not include Pillow
* call tesseract ourselfs

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* moved some code around
* implemented fps_limit getter
* switch to PATH variable use
* minor fixes

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* added input validation for OCR text file settings
* added different OCR comparison methods
* fixed the requested changes

this commit improves the handling of the rectangle coordinates.
the new scheme uses the top_left and bottom_right (X/Y) coordinates.

the migration from the old scheme works as follows:

```
top_left = [<top_left>, <bottom_left>]
bottom_right = [<top_right>, <bottom_right>]

old:
top_left = 275
top_right = 540
bottom_left = 70
bottom_right = 95

new:
top_left = [275, 70]
bottom_right = [540, 95]
```

you can now specify multiple matching methods and look for the best
`text : method` match:

```
old:
method = 0

new:
methods = [0]
or:
methods = [2, 1, 0]
```

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