Waldo Vision is an open-source system for visual cheat detection in first-person shooter (FPS) games, powered by deep learning. It processes video clips of gameplay and predicts the likelihood that a player is using aimbot cheats, a common form of cheating in FPS games where aiming is artificially enhanced.
🚀 What It Does
- Takes FPS gameplay footage as input (e.g., dm_84 converted recordings).
- Applies computer vision and machine learning to analyze aiming behavior.
- Outputs a cheat probability score to identify potential aimbot usage.
- Built with a modular architecture, enabling contributions across models, applications, and deployment.
🧠Key Technologies
- Deep Learning: Uses models trained to detect unnatural aiming patterns.
- Computer Vision: Applies visual feature extraction like optical flow to understand in-game motion.