Search Results for "community detection algorithm"

...It uses computer vision to analyze screen captures and identify target-like objects without directly modifying game files. The project is built in C# with .NET, WPF, DirectML, ONNX, and YOLOv8. It includes a full graphical interface so users can adjust detection confidence, field of view, movement behavior, visual feedback, models, and configurations without writing code. Aimmy also supports model and configuration swapping, including community-made resources through its own ecosystem. Because it can affect gameplay fairness, it should be considered appropriate only for accessibility use, private testing, or contexts where the game rules explicitly allow assistive tools.

AimAhead is an AI-powered aim assist tool designed for high-speed target acquisition. It captures the screen, processes the image through a selected AI model to detect enemies, and then aims towards them. Optimized for NVIDIA graphics cards, AimAhead converts ONNX models to TensorRT engine files for enhanced performance, achieving between 100 to 200 cycles per second depending on the model used.

NeuralBot is a general-purpose aimbot that utilizes neural networks for enemy or target detection. Unlike traditional aimbots that may interact directly with game memory, NeuralBot functions as a "pixel bot," analyzing on-screen pixels to identify targets. This approach makes it versatile across various first-person shooter games without modifying game files.