Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Hi, I came across your script while looking for image labeling GUIs using tkinter, and it seemed like everything used the QT GUI framework. Due to that I decided to take what you had written and modify it for that purpose.
I modified it to be a class that takes in a folder or image path and display the image inside a tkinter window, with user supplied label names displayed beside the image in radio buttons. The purpose of this was to generate points that could be used for image homography and scaling, with the potential of feeding the points into a multi class machine learning workflow for datasets containing a large number of images. I personally changed it to a CSV output due to the simplistic nature of the resulting data - i.e. I didn't need the tree format of XML to accomplish these goals and the file size is generally smaller.
I need to implement this into current projects I am working on and I think this is beneficial to others as well, so if you're open to it and you are still active I suggest we make this into a package for PyPI. I think it can even be improved upon further to implement more features (I added these in the readme file).
It's quite different but the base of it was your work, so I was hoping we could continue to improve on this together.