Comments (4)
kingjci
commented on July 19, 2024
1
我有一个搞定这个倒转汉字的想法，搜集足够多的汉字，把倒转的汉字也当成一个分类，然后和cnn一样的训练方法。只要收集常用的2000，3000个字，然后旋转180度，也能生成足够的数据集，那个汉字识别难度反而更低
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moxiegushi
commented on July 19, 2024
在模拟登录时还是采用旧有的字母数字数据集的
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histronger
commented on July 19, 2024
期待@kingjci的demo
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996refuse
commented on July 19, 2024
我用CNN做了一个demo, 正确率还算可以接受
https://github.com/muchrooms/zheye/
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Related Issues (10)
- 能否详细介绍下模型训练的过程？ HOT 11
- 训练单个字母的过程有点不明白，分类单个字母时，训练数据的target label在哪里呢？
- zhihu.py中102行finalIndex = [maping[p] for p in index] 报错 HOT 2
- No such file or directory when running on mac HOT 1
- Error running on Ubuntu 12.04 with GPU support HOT 1
- 知乎验证码可以随便填，能登录。。。
- 初学者在mac上运行zhihu.py时遇到了一些问题，求大神帮帮忙
- 能否把采集/处理数据集的代码公开一下 HOT 1
- 召集了一帮兄弟一起研究验证码识别，加个QQ 一起交流吧：1840658279 HOT 1
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