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A super-resolution dataset of paired LR-HR scene text images

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Pytorch 1.3 used for training (Ok) and for inference. I had a problem with Dataparallel, which I solved by copying multi-gpu model load code in into 1 gpu case: ```...

hello,can you tell me the weight of the two loss, 20 and 1e-4 in proviede code?thank you !

Hello, I'm very interested in your research. Could you please provide the textzoom dataset in picture format and the label information in TXT format for the experiment in the paper?

Hi, thanks a lot for your great work! i would like to use your labels ground truth (sr_raw.json) but they do not macth the original images of the SRRAW dataset....

After I run the demo, where are the images of the super resolution texts saved? Like after the image has been processed before the text reading process.

what's the difference between train1 and train2?

Hello ~,thank you for your excellent work first, can you tell me how to make the mdb dataset, I have images and tags, how to make my own dataset?

Hello, what is the meaning of transpose in line 94(tsrn.py)? Does anyone know? Thanks in advance. ![屏幕快照 2021-06-30 上午10 14 24](https://user-images.githubusercontent.com/75966909/123891790-03f57980-d98c-11eb-9a4a-c84bdd93bd20.png)

When I tried to train the network with cuda 10.1, cudnn 8.0.2 and torch 1.4.1, it always reported a "core dump" error. And when I turned off cudnn the error...

Dear JasonBoy1, would it be possible for you to add a license file, so as to make clear what usage you want to permit? E.g. [Apache 2.0-License](https://www.apache.org/licenses/LICENSE-2.0) Thank you and...