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This repository has been archived by the owner on Apr 4, 2023. It is now read-only.
Hello,
I got output channels from few my images and it looks really cool.
The next evident question is about further segmentation.
Is it possible to get array of X-Y coordinates of each given baseline curve?
Ideally each word or phrase is bound by rectangle or (better) polygon - defined by its nodes coordinates.
As I see in the referenced article baseline curve is vectorized.
Is there the code in this project?
The text was updated successfully, but these errors were encountered:
to get the vectorized curves one has to evaluate the neural network output. This is done in the paper via a clustering approach on so called super pixels, which are calculated based on the pixel-wise baseline confidences. Unfortunately, this clustering is not open source due to licensing issues with underlying libs.
imagine5am - thank you veru much! I'll try your fork as soon as I can.
I've just tested one example at P2PaLa online DEMO . It looks interesting - but accuracy of line bouning looks not enough for my purposes.
Dear Tobias, just want to thank you one more time for your cool project. I'm on dev activity now for some time - but have no time enough. I managed to implement some tricks to improve accuracy of bounding polygons , even using only dhSegment functionality. Now I'm going to go to the stages of words deslanting and lines slope correction.
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Hello,
I got output channels from few my images and it looks really cool.
The next evident question is about further segmentation.
Is it possible to get array of X-Y coordinates of each given baseline curve?
Ideally each word or phrase is bound by rectangle or (better) polygon - defined by its nodes coordinates.
As I see in the referenced article baseline curve is vectorized.
Is there the code in this project?
The text was updated successfully, but these errors were encountered: