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README.md

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-# Yolov5 + Deep Sort with OSNet
+# Yolov5 + DeepSORT with OSNet
 
 
 
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 ## Introduction
 
-This repository contains a highly configurable two-stage-tracker that adjusts to different deployment scenarios. The detections generated by [YOLOv5](https://github.com/ultralytics/yolov5), a family of object detection architectures and models pretrained on the COCO dataset, are passed to a [Deep Sort algorithm](https://github.com/ZQPei/deep_sort_pytorch) which combines motion and appearance information based on [OSNet](https://github.com/KaiyangZhou/deep-person-reid) in order to tracks the objects. It can track any object that your Yolov5 model was trained to detect.
+This repository contains a highly configurable two-stage-tracker that adjusts to different deployment scenarios. The detections generated by [YOLOv5](https://github.com/ultralytics/yolov5), a family of object detection architectures and models pretrained on the COCO dataset, are passed to a [DeepSORT](https://github.com/ZQPei/deep_sort_pytorch) which combines motion and appearance information based on [OSNet](https://github.com/KaiyangZhou/deep-person-reid) in order to tracks the objects. It can track any object that your Yolov5 model was trained to detect.
 
 
 ## Tutorials