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Hello, gl94. Can you explain how did you manage do to it and if it works well ?
It's kinda a little bit tricky, you need to use the old branch of this repo, and change some code in the trainic15data.py and maybe some function in the dataloader to get a better model. After all this been done you'll find that craft is really hard to train. I rather recommend you using dbnet in the PPocr. It's easy to train and performs very well.
Hello, is it possible to fine-tune your model on a custom dataset with Craft-PyTorch released weights too?
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