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极验点选文字验证码训练

思路

  • 先采集一批足量的验证码原图, 等待标注
  • 考虑到人工标注太慢, 可以考虑找一个准确率还行的模型就行自动标注. 自动标注的结果可能会有异常，所以还需要大体瞄一眼纠错
  • 每张原图可以标注为三种结果:
    • 原图左下角区域的切割, 左下角区域的大小都是固定的
    • 复制一份原图以 坐标1_坐标2_坐标3_哈希值.jpg的方式保存
    • 对原图识别的文字切割, 按文字种类/xxx.jpg的方式保存
  • 如果上一步得到的文字种类有点少, 考虑增加样本量; 如果是某个文字类下的样本数量少, 可以用PIL的ImageFont生成样本
  • 对上一步所得到的数据集分别进行训练, 得到三种训练模型
  • 套娃使用

参考

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