验证码识别
这是一个我去年暑假搞的验证码识别的小项目，这会儿分享出来，希望能对有需要的同学有一定的帮助。
项目主要分为两部分，一部分是验证码的分割，另一部分是用Keras做的一个深度学习的单个字符图片的分类（即字符识别）
data目录下配有我制作好的数据集，Model_tf.net为预训练好的模型，predict目录下放了些图片来做测试。
trainer.py和predictor.py两个文件分别训练和预测的代码。
utils.py中主要放置分割算法的实现，即将验证码分割成单个的字符图片，本项目默认采用的是投影法。就分割算法的实现来说，可能只适用于本数据集，但**是通的，如果有其他类似的数据集，改一改应该也是能用的。
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