Zein Services Sofaim
Zein Services Sofaim is a neural network aim assist that uses real-time object detection accelerated with CUDA on Nvidia GPUs. Also works with other graphics!

About

Zein Services Sofaim 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 Zein Services Sofaim is that it does meddle with the memory of other processes.

The basis of Zein Services Sofaim's player detection is the [YOLOv5](https://github.com/ultralytics/yolov5) architecture written in PyTorch.

 

Installation

1. Install a version of [Python](https://www.python.org/downloads/) 3.8 or later.

2. Navigate to the root directory. Use the package manager [pip](https://pip.pypa.io/en/stable/) to install the necessary dependencies.

```
pip install -r requirements.txt
```

Usage
```           
py Zein Services Sofaim.py
```
To update sensitivity settings:
```           
py Zein Services Sofaim.py setup
```
To collect image data for annotating and training:
```           
py Zein Services Sofaim.py collect_data
```

Issues
- The method of mouse movement is slow. For this reason, the crosshair often lags behind a moving detection. This problem can be lessened by increasing the [pixel_increment](https://github.com/zeyad-mansour/Zein Services Sofaim/blob/45e05373036f8bd072667313c155e55735cd7f57/lib/aimbot.py#L56) (e.g. to 4) so fewer calls to that function are made.
- False positives can also happen under certain lighting conditions.

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