Windows computer-vision experiment for Counter-Strike that captures a window, detects people with a YOLO model, selects targets, and controls mouse movement with GPU auto-detection, a live OpenCV GUI, and an F12 runtime toggle.
GitHub repository with 5 stars and 0 forks.
Topics: aimbot, computer-vision, counter-strike, cuda, object-detection, opencv, windows, yolo
Trending score 0.09, freshness score 0.72, stars gained +0, forks gained +0.
2026-06-15: 5 stars and 0 forks.
Windows computer-vision experiment for Counter-Strike that captures a window, detects people with a YOLO model, selects targets, and controls mouse movement with GPU auto-detection, a live OpenCV GUI, and an F12 runtime toggle.
GitHub repository with 5 stars and 0 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Topics: aimbot, computer-vision, counter-strike, cuda, object-detection, opencv
Windows computer-vision experiment for Counter-Strike that captures a window, detects people with a YOLO model, selects targets, and controls mouse movement with GPU auto-detection, a live OpenCV GUI, and an F12 runtime toggle.
GitHub repository with 5 stars and 0 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Topics: aimbot, computer-vision, counter-strike, cuda, object-detection, opencv