# triple-mu/YOLOv8-TensorRT

<https://repo.masters-masters.com/en/repos/triple-mu/YOLOv8-TensorRT>

[Home](https://repo.masters-masters.com/en) › [triple-mu](https://repo.masters-masters.com/en/owners/triple-mu) › [YOLOv8-TensorRT](https://repo.masters-masters.com/en/repos/triple-mu/YOLOv8-TensorRT)

triple-mu/YOLOv8-TensorRT has 1,814 stars on GitHub. Its RepoMasters card: Beta tier. YOLOv8 using TensorRT accelerate \! Language: Python.

| Field | Value |
| --- | --- |
| Owner | [triple-mu](https://repo.masters-masters.com/en/owners/triple-mu) |
| Stars | 1,814 |
| Forks | 299 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | tensorrt, yolov8, onnx, deepstream, segment, jetson, detection, pose |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [triple-mu/YOLOv8-TensorRT](https://github.com/triple-mu/YOLOv8-TensorRT) |

## Repository

YOLOv8 using TensorRT accelerate \!

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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