We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
该算法是基于图像的公式识别,我就想它是否可以基于图片进行文本识别。
使用了单行的的文本数据3w+,也替换了dictionary.txt(仅包括样本中出现的字符),但是准确率一直为0,这是哪里有问题吗?
The text was updated successfully, but these errors were encountered:
该算法是基于图像的公式识别,我就想它是否可以基于图片进行文本识别。 使用了单行的的文本数据3w+,也替换了dictionary.txt(仅包括样本中出现的字符),但是准确率一直为0,这是哪里有问题吗? 可以肯定,优于现有文本行识别方法,如CRNN,至于结果,我觉得还是检测标签格式啥的,其次是推理过程模型加载以及解码过程都需要注意
使用了单行的的文本数据3w+,也替换了dictionary.txt(仅包括样本中出现的字符),但是准确率一直为0,这是哪里有问题吗? 可以肯定,优于现有文本行识别方法,如CRNN,至于结果,我觉得还是检测标签格式啥的,其次是推理过程模型加载以及解码过程都需要注意
Sorry, something went wrong.
No branches or pull requests
该算法是基于图像的公式识别,我就想它是否可以基于图片进行文本识别。
使用了单行的的文本数据3w+,也替换了dictionary.txt(仅包括样本中出现的字符),但是准确率一直为0,这是哪里有问题吗?
The text was updated successfully, but these errors were encountered: