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This is a simple text image blind super-resolution model, using BSRGAN

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no ckpt file is found in /home/cooper/.cnstd/1.2/db_resnet34 It seems that some files are missing, how can I download them?

Hi, thanks for releasing this nice project. Some of the code ([L58](https://github.com/csxmli2016/textbsr/blob/1e5b82092ae2bbc363d7e26a2f9f01cc19a9010d/textbsr/models/TextEnhancement.py#L58C7-L58C7) ~ [L85](https://github.com/csxmli2016/textbsr/blob/1e5b82092ae2bbc363d7e26a2f9f01cc19a9010d/textbsr/models/TextEnhancement.py#L85) from TextEnhancement.py) was hard for me to understand. Could you explain what `move_w, move_h, ref_point` are...

Does textbsr support Japanese or other languages?

Can provide x1 and x2 pre-trained model? Thanks

作者您好,先前的工作都是基于单行文本图像进行超分的,我想知道现在是如何做到整图文本图像进行超分的呢?思路是怎样的?感谢回复

Can the dataset of this model be published? If not, can you tell me how to build the dataset, including the MARCONet you mentioned in the Readme?

is it possible retrain the model with [dat](https://github.com/zhengchen1999/DAT) architecture ? It could give better results than bsrgan

cnstd doesn't detect the small text , is it possible to bypass text detection and just upscale the entire image with textbsr?