Lunar
Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.
Lunar can be modified to work with a variety of FPS games; however, it is currently configured for Fortnite. Besides being general purpose, the main advantage of using Lunar is that it is virtually undetectable by anti-cheat software (no memory is meddled with).
The basis of Lunar's player detection is the YOLOv5 architecture written in the PyTorch framework.
Installation
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Install a version of Python 3.8 or later.
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Navigate to the root directory. Use the package manager pip to install the necessary dependencies.
pip install -r requirements.txt
Usage
python lunar.py
To update sensitivity settings:
python lunar.py setup
To collect image data for annotating and training:
python lunar.py collect_data
If you have image data with or without annotations, please send that in a zip file to [email protected].
Notes
- As of now, the aimbot is set to only work when targeting/scoping in (holding down the right mouse button). Therefore, it is not recommended to use at a close range.
- There is a known issue that occurs with PyTorch and GTX 1650/1660 GPUs on Windows
Future Updates
- Use TensorRT for faster inference
- Train a model on a custom dataset
- Explore combining real-time object detection with k-means pixel clustering
- Implement better player tracking
- Make an easy-to-use GUI
