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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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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
期待@kingjci的demo
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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The text was updated successfully, but these errors were encountered: