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Real-time multi-camera multi-object tracker using YOLO varients
| Date | Stars |
|---|---|
| 2026-07-30 | 371 |
| 2026-08-07 | 371 |
| 2026-08-15 | 372 |
| 2026-08-21 | 373 |
| 2026-09-02 | 374 |
| 2026-09-07 | 375 |
| 2026-09-26 | 376 |
| 2026-10-08 | 376 |
| 2026-10-15 | 377 |
| 2026-10-28 | 376 |
| 2026-11-04 | 377 |
Today
+1 stars today
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Momentum
0.0
growth rate 0.27%/day
# StrongSORT yolo_multi_model <br> <img src="https://media0.giphy.com/media/J19OSJKmqCyP7Mfjt1/giphy.gif" width="80" height="30" /> <h2>yolo_multi_model </h2> For an all-in-one Python file that can run detection, segmentation, and pose estimation with various YOLO models (such as YOLOv5, YOLOv7, YOLOv8, and YOLOv11), you should choose a name that clearly reflects the functionality and the models used, while being concise. includes detection, segmentation, and pose estimation) using different YOLO models.   ```bash ## recommended conda env python=3.10 ## pip install ultralytics -U $ python yolo_multi_model.py --source 0 1 vid1.mp4 vid2.mp4 --track --count ``` ## Acknowledgements <details><summary> <b>Expand</b> </summary> * [https://github.com/AlexeyAB/darknet](https://github.com/AlexeyAB/darknet) * [https://github.com/WongKinYiu/yolor](https://github.com/WongKinYiu/yolor) * [https://github.com/WongKinYiu/PyTorch_YOLOv4](https://github.com/WongKinYiu/PyTorch_YOLOv4) * [https://github.com/WongKinYiu/ScaledYOLOv4](https://github.com/WongKinYiu/ScaledYOLOv4) * [https://github.com/Megvii-BaseDetection/YOLOX](https://github.com/Megvii-BaseDetection/YOLOX) * [https://github.com/ultralytics/yolov3](https://github.com/ultralytics/yolov3) * [https://github.com/ultralytics/yolov5](https://github.com/ultralytics/yolov5) * [https://github.com/DingXiaoH/RepVGG](https://github.com/DingXiaoH/RepVGG) * [https://github.com/JUGGHM/OREPA_CVPR2022](https://github.com/JUGGHM/OREPA_CVPR2022) * [https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose](https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose) * [https://github.com/ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) </details>
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:143a609ae541177b, topic:yolo, readme:pose estimation