[info]项目说明[/info]
项目是前两天帮朋友做的，识别准确率大概80%左右。
项目用处不大，但是做都做了就发出来了。
用的模板匹配的方式（项目要求），主要就是降噪、开运算、二值化，然后findContours分割出字符进行模板匹配。
总共有1193张模板图片，可以执行GetTemplate.py获取更多的模板图片以提高准确率。（准确率越高需要的模板图片也会越高 提升很难）
由于项目限制，做到80%的准确率不错了，如果深度学习的话准确率肯定能上95%。
项目开源地址: https://github.com/SwaggyMacro/SxbCaptchaRecognizer
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呜呜呜呜 看不懂 能不能解释解释@(看不见)
@群主爸爸 我也看不懂
我也想学