From 737b6ae62b206f718781d3de2398859010e6dcd9 Mon Sep 17 00:00:00 2001
From: Mike <yolov5.deepsort.pytorch@gmail.com>
Date: Tue, 23 May 2023 15:07:25 +0200
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

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 ## Introduction
 
-This repo contains a collections of state-of-the-art multi-object trackers. Some of them are based on motion only, others on motion + appearance description. For the latter, state-of-the-art ReID model are provided. Supported ones at the moment are: [DeepOCSORT](https://arxiv.org/abs/2302.11813) [LightMBN](https://arxiv.org/pdf/2101.10774.pdf), [BoTSORT](https://arxiv.org/abs/2206.14651) [LightMBN](https://github.com/jixunbo/LightMBN)[](https://arxiv.org/pdf/2101.10774.pdf), [StrongSORT](https://github.com/dyhBUPT/StrongSORT)[](https://arxiv.org/abs/2202.13514) [LightMBN](https://github.com/jixunbo/LightMBN)[](https://arxiv.org/pdf/2101.10774.pdf), [OCSORT](https://github.com/noahcao/OC_SORT)[](https://arxiv.org/abs/2203.14360) and [ByteTrack](https://github.com/ifzhang/ByteTrack)[](https://arxiv.org/abs/2110.06864).
+This repo contains a collections of state-of-the-art multi-object trackers. Some of them are based on motion only, others on motion + appearance description. For the latter, state-of-the-art ReID model are downloaded automatically as well. Supported ones at the moment are: [DeepOCSORT](https://arxiv.org/abs/2302.11813) [LightMBN](https://arxiv.org/pdf/2101.10774.pdf), [BoTSORT](https://arxiv.org/abs/2206.14651) [LightMBN](https://github.com/jixunbo/LightMBN)[](https://arxiv.org/pdf/2101.10774.pdf), [StrongSORT](https://github.com/dyhBUPT/StrongSORT)[](https://arxiv.org/abs/2202.13514) [LightMBN](https://github.com/jixunbo/LightMBN)[](https://arxiv.org/pdf/2101.10774.pdf), [OCSORT](https://github.com/noahcao/OC_SORT)[](https://arxiv.org/abs/2203.14360) and [ByteTrack](https://github.com/ifzhang/ByteTrack)[](https://arxiv.org/abs/2110.06864).
 
 We provide examples on how to use this package together with popular object detection models. Right now only [Yolov8](https://github.com/ultralytics) is available. Yolo-NAS & YOLOX coming soon.