| # OSNet Weights for Trackers | |
| Pre-trained OSNet x1.0 weights for use with the [trackers](https://github.com/roboflow/trackers) library. | |
| ## Files | |
| | File | Description | Source | | |
| |---|---|---| | |
| | `osnet_x1_0_imagenet.pth` | OSNet x1.0 pretrained on ImageNet (general features) | [torchreid](https://github.com/KaiyangZhou/deep-person-reid) | | |
| | `sports_model.pth.tar-60` | OSNet x1.0 fine-tuned on SportsMOT crops for person ReID | [Deep-EIoU](https://github.com/hsiangwei0903/Deep-EIoU) | | |
| ## Usage | |
| ```python | |
| from trackers.appearance.osnet import OSNetExtractor | |
| # ImageNet pretrained (general) | |
| extractor = OSNetExtractor(weights="imagenet") | |
| # SportsMOT fine-tuned (sports ReID — used by Deep HM-SORT paper) | |
| extractor = OSNetExtractor(weights="sportsmot") | |
| ``` | |
| ## References | |
| - Zhou et al., *Omni-Scale Feature Learning for Person Re-Identification*, ICCV 2019 | |
| - Huang et al., *Deep-EIoU*, arXiv:2306.13074 | |
| - Gran-Henriksen et al., *Deep HM-SORT*, arXiv:2406.12081 | |