This repository implements the Joint Detection and Embedding (JDE) model for fast multi-object tracking. The system uses a shared neural network to simultaneously learn object detection and appearance embedding for tracking-by-detection. Built with PyTorch, it achieves near real-time performance (22-38 FPS) and is published at ECCV 2020.