README.md

• 参考

  • 原文:How to break a CAPTCHA system in 15 minutes with Machine Learning
  • 源代码下载:https://s3-us-west-2.amazonaws.com/mlif-example-code/solving_captchas_code_examples.zip
  • 翻译:仅需15分钟，使用OpenCV+Keras轻松破解验证码

• 修改:

  • 训练过程改为1次
  • 识别验证码,添加input中断循环

Before you get started

To run these scripts, you need the following installed:

1. Python 3
2. OpenCV 3 w/ Python extensions

• I highly recommend these OpenCV installation guides: https://www.pyimagesearch.com/opencv-tutorials-resources-guides/

3. The python libraries listed in requirements.txt

• Try running "pip3 install -r requirements.txt"

Step 1: Extract single letters from CAPTCHA images

Run:

python3 extract_single_letters_from_captchas.py

The results will be stored in the "extracted_letter_images" folder.

Step 2: Train the neural network to recognize single letters

Run:

python3 train_model.py

This will write out "captcha_model.hdf5" and "model_labels.dat"

Step 3: Use the model to solve CAPTCHAs!

Run:

python3 solve_captchas_with_model.py