dumbaspl/aero2solver repository overview

⁠aero2solver

Solve Aero2 captchas automatically using the magic of machine learning and computer vision.

⁠Usage

This project is intended to be run as a docker container. Prebuilt images are available on Docker Hub⁠.

⁠Requirements

• Docker (or any other OCI compatible container runtime)
• The container needs to be able to resolve and connect to http://bdi.free.aero2.net.pl:8080/⁠.

This project doesn't need any GPU acceleration. Even on low end hardware the solving speed is fairly quick because the captchas are small and infrequent.

⁠Running

you can test it by running:

docker run -it --rm dumbaspl/aero2solver

show all available options:

docker run -it --rm dumbaspl/aero2solver --help

run as a daemon that starts on boot:

docker run -d --restart=always --name aero2solver dumbaspl/aero2solver

⁠Running on RouterOS

It is also possible to run this container on RouterOS using the container⁠ package. This removes the need for a separate machine to run the solver on.

⁠Information

The training data was collected by marking up 500 training + 100 validation captchas by hand. The model was trained for 20000 iterations starting from the yolov4-tiny pre-trained weights.

⁠License

This project is licensed under the MIT License - see the LICENSE⁠ file for details.

⁠Acknowledgments

• Aero2⁠ for providing "free" internet access :wink:
• darknet-rust⁠ for providing a Rust wrapper for darknet⁠
• Slaves Friends for marking up all the training data