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weinman avatar weinman commented on May 20, 2024

To be clear, this software only does cropped text recognition. That is, it doesn't take an arbitrary image and identify the bounding boxes of the text (or words).

However, assuming you have something like the example above, this model could in theory be used to identify the separate words if you train with a literal space among the output character labels, and you generate training data with multiple words (containing the space character label). This keras example is an example that does so (with two words).

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Omnipresent avatar Omnipresent commented on May 20, 2024

I am using CTPN to prepare the cropped images from the bounding boxes it provides. It doesn't make bounding boxes on single words but on multiple words. Thanks for confirming that my training data would need a literal space. I will try playing around to see if there are other ways. Thanks

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