python 字符串转换成图片 图片转字符串(base64编码)

convert.png

• 背景
  今天想去自动识别网上的验证码(对就是搞事情),准备用rnn训练一个模型,然后用flask写一个restful接口提供识别服务,然后去做其他事情.从网上拿图片的时候返回的是base64 encodez之后的数据,我这边需要对数据进行保存和读写，从而可以训练模型

• 字符串转换decode转换成字节数组保存

import base64
image = "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"
fh = open("heiqie.jpeg", "wb")
fh.write(base64.b64decode(image))
fh.close()

• 打开文件

  
  image.png

• 图标转换成字符串

import base64
with open("heiqie.jpeg", "rb") as imageFile:
    str = base64.b64encode(imageFile.read())
    print(str)

• 二进制数据结果

b'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'