Transformer-OCR
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any information about training data structure?
Hi! I've download resnet101 from pytroch, as it was said in issue #1, but now i get this error:  where can i get correct model for this project? Please,...
你好,我用自己的数据训练模型,如果图像resize成96*96大小,模型预测结果正常;如果resize成32×W大小,模型预测有问题,会识别成同一类,如下图:  请问这是什么原因呢?
when can we see the new paper ?
Is this a bug? 
the src code assumes that the model is running the GPU, can I add a pull request for auto config?
can I make pull request for checking if the IMG value is None in __getitem__ function, and change image if True?
I applied the pre-trained model on ICDAR15 datasets, but the results are different from the reported ones in the paper?