This project combines YOLOv5 object detection with DeepSort tracking to perform real-time multi-object tracking and counting of vehicles and pedestrians in video streams. It provides a封装 Detector class that encapsulates the detection and tracking logic, making it easy to integrate into custom applications. The system supports custom YOLOv5 model training and seamless integration with the tracking framework.