基于crnn的中文印刷体识别
1.产生训练图片及对应标签 python 生成图片数据和对应标签.py
2.训练模型 python train.py
3.测试模型 python test.py
注意:测试图片高度为32固定,可以自己修改训练模型,宽度不定,可以识别不定长的文字图片。目前只提供模型框架,可以根据自己的硬件资源确定样本图片的多少。
This project forked from 18813055625/kebi
基于crnn的中文印刷体识别
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