# Kestrong/capture\_reid

<https://repo.masters-masters.com/en/repos/Kestrong/capture_reid>

[Home](https://repo.masters-masters.com/en) › [Kestrong](https://repo.masters-masters.com/en/owners/Kestrong) › [capture\_reid](https://repo.masters-masters.com/en/repos/Kestrong/capture_reid)

Kestrong/capture\_reid has 147 stars on GitHub. Its RepoMasters card: Prototype tier. 可基于摄像头实时监控或录制的视频或静态图片进行行人检测(lffd)/跟踪(deep sort)和行人重识别(reid)。

| Field | Value |
| --- | --- |
| Owner | [Kestrong](https://repo.masters-masters.com/en/owners/Kestrong) |
| Stars | 147 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | lffd, deep-sort, reid, csp, track, detect, video |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Kestrong/capture\_reid](https://github.com/Kestrong/capture_reid) |

## Repository

可基于摄像头实时监控或录制的视频或静态图片进行行人检测(lffd)/跟踪(deep sort)和行人重识别(reid)。

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.