strongsort

Name	strongsort JSON
Version	0.2.1 JSON
	download
home_page	https://github.com/kadirnar/strongsort-pip
Summary	Packaged version of the Strongsort repository
upload_time	2023-01-25 18:26:45
maintainer
docs_url	None
author	kadirnar
requires_python	>=3.6
license	MIT
keywords	machine-learning deep-learning pytorch vision image-classification object-detection yolov7 detector yolov5
VCS
bugtrack_url
requirements	easydict gdown motmetrics opencv_python torch torchvision
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            <div align="center">
<h1>
  StrongSort-Pip: Packaged version of StrongSort 
</h1>
<h4>
    <img width="700" alt="teaser" src="docs/uav.gif">
</h4>
<div>
    <a href="https://pepy.tech/project/strongsort"><img src="https://pepy.tech/badge/strongsort" alt="downloads"></a>
    <a href="https://badge.fury.io/py/strongsort"><img src="https://badge.fury.io/py/strongsort.svg" alt="pypi version"></a>
</div>
</div>

## <div align="center">Overview</div>

This repo is a packaged version of the [StrongSort](https://github.com/dyhBUPT/StrongSORT) algorithm.
### Installation
```
pip install strongsort
```

### Detection Model + StrongSort 
```python
from strong_sort import StrongSORT

tracker = StrongSORT(model_weights='model.pth', device='cuda')
pred = model(img)
for i, det in enumerate(pred):
    det[i] = tracker[i].update(detection, im0s)
```

## Citations
```bibtex
@article{du2022strongsort,
  title={Strongsort: Make deepsort great again},
  author={Du, Yunhao and Song, Yang and Yang, Bo and Zhao, Yanyun},
  journal={arXiv preprint arXiv:2202.13514},
  year={2022}
}
```

            

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