Javacr/PyQt5-YOLOv5
A PyQt5-based GUI application that wraps YOLOv5 for real-time object detection on images, videos, webcams, and RTSP streams.

This repository provides a graphical interface for YOLOv5, a widely-used real-time object detection model. Users can load images, videos, or connect to webcams and RTSP streams to perform detection. The interface allows configuration of detection parameters including model selection, confidence threshold, and IoU threshold. Detected results can be viewed in real-time, played/paused/stopped during video processing, and automatically saved to disk along with statistics.