This repo is the a codebase of the Joint Detection and Embedding (JDE) model. JDE is a fast and high-performance multiple-object tracker that learns the object detection task and appearance embedding task simutaneously in a shared neural network. Due to the recent release of YOLOv5, we replace the detector in JDE with YOLOv5 and achieve high performance on MOT Benchmark. For some reasons, we can't release our stronger version, but we hope this repo will help researches/engineers to develop more practical real-time MOT systems.
Just follow the environmnet configuration of YOLOv5.
Just follow the DATASET_ZOO of JDE.
| MOTA | IDS | IDF1 | MOTP | FPS | Params(M) | |
|---|---|---|---|---|---|---|
| JDE(1088x608) | 68.5 | 1496 | 66.8 | 0.221 | 21 | 298 |
| Ours(1088x608) | 71.0 | 695 | 73.2 | 0.166 | 56 | 35 |
| MOTA | IDS | IDF1 | MOTP | FPS | Params(M) | |
|---|---|---|---|---|---|---|
| JDE(1088x608) | 49.1 | 24507 | 38.4 | 0.272 | 14 | 298 |
| Ours(1088x608) | 55.3 | 9190 | 47.5 | 0.287 | 24 | 35 |