Real-Time Object and Hand Detection

This project combines YOLOv8 object detection with MediaPipe hand tracking to provide real-time detection of objects and counting of extended fingers from a webcam feed.

Features

• Real-time object detection using YOLOv8 (Ultralytics)
• Real-time hand tracking and finger counting using MediaPipe
• CUDA GPU acceleration support (if available)
• Visualizes detected objects and finger counts on the webcam stream

Requirements

• Python 3.8+
• OpenCV
• torch
• ultralytics
• mediapipe

Install dependencies with:

pip install opencv-python torch ultralytics mediapipe