Comments (7)
不太清楚你说的backbone是什么意思。中英混合的情况这里确实没有考虑。另外你说的感受野也确实是影响精度的重要因素,感受野太小的话每个时刻的特征就难有很好的代表性和区分性,感受野太大的话又容易带来混淆和漏字,这个要根据实际数据的情况来调整。191238062,我的QQ,欢迎一起讨论。
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有验证的哦
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@senlinuc 我也发现了这个问题,第一次做ocr,经验不是很丰富,现在我的做法是在中文的数据集dataset1中训练得差不多后,更新数据集dataset2(加入英文+数字,注:dataset1中也存在英文,数字,只不过dataset2增强了英文,数字样本比例),不知道你们怎么看。 @JacobianTang @senlinuc
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我生成的中文数据集里也有少量英文和数字,这种中英混合我感觉只要总量足够,比例调整好,应该可以一次训练。
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@senlinuc @jxlijunhao @JacobianTang 我也在做crnn 中文识别,我建了一个Q群:274634783 ,有兴趣的加一下,讨论问题方便一点。
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@senlinuc 试验过 英文CNN+LSTM+CTC 没有出现丢字符的情况。
是不是 英文太少,或者语料中 中英应该在一起、?
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Hi Senlinuc,
我是英伟达上海研发部Nic,你的QQ加不上,方便加微信吗?
谢谢!
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Related Issues (20)
- 合成的中文数据百度盘已的失效 HOT 2
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- SynthText Data
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