Anti-Anti-Spider-master
所属分类：其他
开发工具：WINDOWS
文件大小：50868KB
下载次数：3
上传日期：2017-12-12 09:00:05
上 传 者：
莲66
说明： Python爬虫内容非常很详细，希望能帮助到您
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文件列表:
1.验证码\AmazonCaptcha\iconset1\a\201612101452083941.gif (495, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452092912.gif (489, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452095622.gif (501, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452097616.gif (488, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452107558.gif (489, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\20161210145210902.gif (510, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452116724.gif (495, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452127758.gif (499, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452129590.gif (492, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452131655.gif (490, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452148063.gif (487, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452148346.gif (491, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\20161210145216226.gif (488, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452163058.gif (495, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452167606.gif (506, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452173694.gif (507, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452174904.gif (488, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452181662.gif (496, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452202108.gif (493, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452205373.gif (499, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452211477.gif (495, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452218592.gif (505, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452221635.gif (516, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452224518.gif (487, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452228779.gif (508, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452235807.gif (498, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452237082.gif (491, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452243919.gif (491, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452254308.gif (487, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452256338.gif (508, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452261536.gif (520, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452263497.gif (481, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452265350.gif (510, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452268730.gif (487, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452305219.gif (516, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452309457.gif (493, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452316148.gif (514, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452331640.gif (493, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452332980.gif (517, 2017-11-18)
1.验证码\AmazonCaptcha\iconset1\a\201612101452344943.gif (517, 2017-11-18)
... ...
使用TensorFlow去训练自己生成的验证码,
当前进度:
验证码自动生成---完成
直接运行 :
python TensorFlow_cnn_train.py
则开始训练,当前成功率设定为50%则停止,
训练完毕确保训练后模型在同一文件夹下则运行
python TensorFlow_cnn_test_model.py
实时生成新验证码并且进行预测
当前程序设定一个成功率0.5或者0.7
我设置为当训练达到0.7 准确性就停止并且保留其模型。。
大概训练到 5k多次就能达到这个准确度。
最新进展:
2017.3.13日
经过10w次训练耗时4天,总计图片1000w张,得出模型成功率为 ***%
不想训练的朋友,请从博文处下载。但是请只用于技术学习。并且自己能完成训练的过程。
本项目最初学习自 http://blog.topspeedsnail.com/archives/10858 本文主要是开放了模型(模型地址请从博文中获取),并且对代码增加了注释。
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