Β© Rakhesh Krishna P. All rights reserved.
This project should not be forked, distributed, or modified without prior permission.
- 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.
Vision-X.mp4
- π₯οΈ Live object detection from webcam feed
- ποΈ Object detection on uploaded video files
- π― Customizable confidence threshold for precision
- π§βπ€βπ§ Multi-class object selection
- β‘ GPU acceleration support (if available)
- π Real-time performance metrics (FPS, tracked objects, detected classes)
- π Programming Language: Python
- π Web Framework: Streamlit
- ποΈ Computer Vision Library: OpenCV
- π₯ Deep Learning Framework: PyTorch
- π¦Ύ Object Detection Model: Ultralytics YOLOv8
- π GPU Acceleration: CUDA (if available)
- π Data Processing: NumPy
- π NumPy Documentation
- π PyTorch Documentation
- π YOLOv8 Documentation
- π OpenCV Documentation
- π Streamlit Documentation