HeadHunter 🎯

A computer vision-based aim assistance tool running at 16-24 FPS for counter strike using OpenCV template matching.

🧠 Core Features

• Real-time head detection using template matching algorithms
• Optimized performance achieving 16-24 FPS on mid-range hardware
• Low-latency mouse movement simulation

⚙️ Technical Implementation

HeadHunter utilizes OpenCV's template matching algorithm to detect potential targets:

1. Capture screen region using mss
2. Preprocess image (grayscale conversion, noise reduction)
3. Apply template matching with cv2.matchTemplate()
4. Filter results based on confidence threshold
5. Calculate target coordinates
6. Simulate mouse movement using pywin32

This process repeats in real-time, providing continuous aim assistance.

📊 Performance Tips

• Use a GPU-enabled build of OpenCV for significant speed improvements
• Reduce SCREEN_REGION size to focus on the most relevant area
• Experiment with TEMPLATE_SCALING to balance accuracy and speed
• Close unnecessary background applications to free up system resources
• Consider overclocking your CPU/GPU for additional performance gains

---