This project provides an AI-powered aim assist tool for shooting games, built upon the YOLOv5 object detection framework. It targets players seeking to understand or experiment with AI-driven aiming assistance in FPS games, offering a specific model for CS:GO.

How It Works

The tool leverages YOLOv5 to detect enemy players within the game's visual feed. Once detected, it calculates the target's position and provides input to the mouse, simulating aiming assistance. This approach allows for real-time detection and aiming adjustments based on visual cues.

Quick Start & Requirements

• Install via pip install -r requirements.txt.
• Requires Python 3.x, PyTorch, OpenCV, and pynput.
• A CS:GO specific model is provided.
• Further details and setup guidance are available at https://e-cho.top/2023/01/30/2.aimyolo/ and https://wsblog.netlify.app/2023/01/30/2.aimyolo/.

Highlighted Details

• Based on YOLOv5 architecture.
• Includes a dedicated model for CS:GO.
• Functions as an AI-driven targeting aid.

Maintenance & Community

No specific community channels or active maintenance signals are indicated in the provided README.

Licensing & Compatibility

The README does not specify a license. The project's nature as a "cheating" tool may imply restrictions on commercial use or integration with certain platforms.

Limitations & Caveats

This project is explicitly stated as being "only for learning" and functions as an AI cheat, which carries significant risks of account bans in online games. Its effectiveness and compatibility may vary depending on game updates and anti-cheat systems.