# 1461521844lijin/trt\_yolo\_video\_pipeline

<https://repo.masters-masters.com/en/repos/1461521844lijin/trt_yolo_video_pipeline>

[Home](https://repo.masters-masters.com/en) › [1461521844lijin](https://repo.masters-masters.com/en/owners/1461521844lijin) › [trt\_yolo\_video\_pipeline](https://repo.masters-masters.com/en/repos/1461521844lijin/trt_yolo_video_pipeline)

1461521844lijin/trt\_yolo\_video\_pipeline has 337 stars on GitHub. Its RepoMasters card: Alpha tier. TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例 Language: C++.

| Field | Value |
| --- | --- |
| Owner | [1461521844lijin](https://repo.masters-masters.com/en/owners/1461521844lijin) |
| Stars | 337 |
| Forks | 65 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | MIT |
| Created | 2023 |
| Topics | cuda, ffmpeg, yolov8, opencv, video-processing, yolo |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [1461521844lijin/trt\_yolo\_video\_pipeline](https://github.com/1461521844lijin/trt_yolo_video_pipeline) |

## Repository

TensorRT+YOLO系列的 多路 多卡 多实例 并行视频分析处理案例

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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