transformer_OCR
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请问作者有和论文的结果比较吗?
关于准确率的问题
你好! 感谢你的开源代码。我跑了你的开源代码,但是平均准确率好像达不到你说的85%,请问你在训练过程中加了什么trick吗?
assert len(datasets) > 0, 'datasets should not be an empty iterable' # type: ignore AssertionError: datasets should not be an empty iterable 数据格式是 
我在训练Mj ST两个数据集时,遇到了RuntimeError: expected device cuda:1 but got device cuda:0报错请问该如何修改呢?Original Traceback (most recent call last): File "/home/will/anaconda3/envs/transocr/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 60, in _worker output = module(*input, **kwargs) File "/home/will/anaconda3/envs/transocr/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in __call__...