TFHub Aimbot

This project is an aimbot for the game Counter-Strike 2, developed using TensorFlow Hub and YOLO object detection.

Prerequisites

To run this project, the following dependencies need to be installed:

• OpenCV (pip install opencv-python)
• Pillow (pip install pillow)
• Ultralytics (pip install ultralytics)
• win32gui (pip install pywin32)

Instructions

1. Make sure Counter-Strike 2 is running.
2. Execute the file WORK100% und schneller.py.
3. The aimbot captures the screen of Counter-Strike 2, performs object detection, and moves the mouse to aim at the target.
4. The aimbot automatically clicks when a target is detected.

Customizations

You can customize the following parameters to change the behavior of the aimbot:

• window_title: The title of the Counter-Strike 2 window.
• size_scale: The scaling of the captured screen.
• scale_factor: The scaling factor for mouse movements.

Notes

• This project was developed for demonstration purposes only and should not be used for unfair gameplay practices.
• The accuracy of the aimbot depends on the performance of the YOLO model and the quality of the captured screen.

License

This project is licensed under the MIT License. For more information, see the License file.