Comments (12)
../downloader/captchas/00179352-2c1b-42c9-83c2-c88402639381.png, 图片下载是否正确?如:
请尽量在linux桌面环境下测试,环境搭建见:验证码破解技术四部曲之环境搭建篇(一)
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图片都下好了,也能被im.show正常显示
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那你还是在linux试把,我从来没有在windows上用过opencv。
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Linux下就没问题吗。。。。。。
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我自己在mac上和ubuntu上测试都没有问题。(表示从来没用过windows上的opencv)
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这个是我分割出来的数据,你可以看看,training_set.zip。
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我看了。
事实上对于spliter,我改了一个python版本,但是不知道为什么有各种越界问题,正在debug
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非常支持。我分割这块的算法处理的比较生硬,欢迎提供pr。
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opencv算法我也是临时抱佛脚
不过clear_horizontal_noise_line 总是会有is_black x,y参数的越界
save_image也有offset_x,offset_y的负值情况,原来的版本不会出现这种情况吗?
不过这些越界相对还是少数,规避以后正常分隔是没问题的。
python版本spliter刚跑通,电脑卡得不行。。。。。果然这种事应该在别的机器上干
如果需要的话,我把spliter的Python版本也push上来看看?
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你放在你fork的仓库里给我看看?
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好的,稍等我整理一下
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题外话,为什么不使用SVHN算法,可以免分割步骤
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