Implements the DeepSORT tracking algorithm combined with YOLOv3/v5 object detectors in PyTorch. It uses a CNN-based appearance feature extractor built on ResNet for ReID features to maintain object identities across frames in video sequences. The system has been extended to support Mask R-CNN instance segmentation, enabling tracking with simultaneous segmentation masks. It performs object detection, feature extraction, and tracking in real-time.