This repository provides a desktop application built with PyQt5 that wraps Ultralytics YOLO models for computer vision tasks. It supports detection, pose estimation, and instance segmentation using YOLO11, YOLOv13, and YOLOv8 variants across multiple model sizes. The application uses DeepSort and ByteTrack algorithms for multi-object tracking and runs inference via ONNX Runtime. Users can process local images, videos, camera feeds, or RTSP streams through the graphical interface.