Disclaimer

This project is for educational and research purposes only. Any actions and/or activities related to the material contained on this GitHub Repository is solely your responsibility. The misuse of the information in this GitHub Repository can result in criminal charges brought against the persons in question. The author will not be held responsible in the event any criminal charges be brought against any individuals misusing the information in this GitHub Repository to break the law.

Trained model

I’ve trained a model that detects each of the following classes which support 9x grid.

1. bicycle

2. boat

3. bridge

4. bus

5. car

6. chimneys

7. crosswalk

8. fire hydrant

9. motorcycles

10. mountains or hills

11. palm trees

12. stair

13. taxi

14. tow truck

15. traffic light

16. traffic sign

17. truck

This model can be downloaded from https://mikey.id/yolov3.weights. I’ve provided the other necessary files under model/.

Compatibility

Linux, macOS, and Windows!

Installation

$ pip install solverecaptchas

Usage

If you want to use it in your own script

import asyncio
import sys

from solverecaptchas.solver import Solver

if len(sys.argv) == 4:
     pageurl, sitekey, proxy = sys.argv[1:]
else:
     print('Invalid number of arguments (pageurl, sitekey, proxy)')
     sys.exit(0)

if proxy.lower() == "none":
     proxy = None

client = Solver(pageurl, sitekey, proxy=proxy)
result = asyncio.run(client.start())
if result:
     print(result)