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模型在OCR提取文字过程中, 比如营业执照, 有较大概率识别营业执照号码不正确, 经常是中间少一位. 请问有什么办法能提高OCR精度?
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- OS: - Python: - Transformers: - PyTorch: - CUDA (`python -c 'import torch; print(torch.version.cuda)'`):
The text was updated successfully, but these errors were encountered:
可以看看中间错误,具体位置是否在slice 网格边界上。
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有道理,我把图片大小做了修改后,识别成功了,感谢提醒
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是否已有关于该错误的issue或讨论? | Is there an existing issue / discussion for this?
该问题是否在FAQ中有解答? | Is there an existing answer for this in FAQ?
当前行为 | Current Behavior
模型在OCR提取文字过程中, 比如营业执照, 有较大概率识别营业执照号码不正确, 经常是中间少一位. 请问有什么办法能提高OCR精度?
期望行为 | Expected Behavior
模型在OCR提取文字过程中, 比如营业执照, 有较大概率识别营业执照号码不正确, 经常是中间少一位. 请问有什么办法能提高OCR精度?
复现方法 | Steps To Reproduce
No response
运行环境 | Environment
备注 | Anything else?
No response
The text was updated successfully, but these errors were encountered: