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πŸŽ₯ A computer vision web app for real-time object tracking using Ultralytics YOLOv8 and PyTorch.

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🎯 Vision X - Real-Time Object Counter

Β© Rakhesh Krishna P. All rights reserved.
This project should not be forked, distributed, or modified without prior permission.

πŸ“ Description

  • Vision X is a real-time object detection and tracking application using YOLOv8 for efficient and accurate object detection.
  • Built with Streamlit for an interactive web interface.
  • Supports both webcam input and video file uploads for object tracking.

πŸŽ₯ Demo Video

Vision-X.mp4

πŸš€ Features

  • πŸ–₯️ Live object detection from webcam feed
  • 🎞️ Object detection on uploaded video files
  • 🎯 Customizable confidence threshold for precision
  • πŸ§‘β€πŸ€β€πŸ§‘ Multi-class object selection
  • ⚑ GPU acceleration support (if available)
  • πŸ“Š Real-time performance metrics (FPS, tracked objects, detected classes)

πŸ’» Tech Stack

  • 🐍 Programming Language: Python
  • 🌐 Web Framework: Streamlit
  • πŸ‘οΈ Computer Vision Library: OpenCV
  • πŸ”₯ Deep Learning Framework: PyTorch
  • 🦾 Object Detection Model: Ultralytics YOLOv8
  • πŸš€ GPU Acceleration: CUDA (if available)
  • πŸ“Ÿ Data Processing: NumPy

🌐 Web Interface

app

πŸ“š Additional Resources

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πŸŽ₯ A computer vision web app for real-time object tracking using Ultralytics YOLOv8 and PyTorch.

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