# cong/yolov5\_deepsort\_tensorrt

<https://repo.masters-masters.com/en/repos/cong/yolov5_deepsort_tensorrt>

[Home](https://repo.masters-masters.com/en) › [cong](https://repo.masters-masters.com/en/owners/cong) › [yolov5\_deepsort\_tensorrt](https://repo.masters-masters.com/en/repos/cong/yolov5_deepsort_tensorrt)

cong/yolov5\_deepsort\_tensorrt has 184 stars on GitHub. Its RepoMasters card: Prototype tier. This repo uses YOLOv5 and DeepSORT to implement object tracking…

| Field | Value |
| --- | --- |
| Owner | [cong](https://repo.masters-masters.com/en/owners/cong) |
| Stars | 184 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | yolov5, deepsort, tensorrtx, pytorch, nvidia-xavier |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cong/yolov5\_deepsort\_tensorrt](https://github.com/cong/yolov5_deepsort_tensorrt) |

## Repository

This repo uses YOLOv5 and DeepSORT to implement object tracking algorithm. Also using TensorRTX to transform model to engine, and deploying all code on the NVIDIA Xavier with TensorRT further.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.