abhiTronix/vidgear 源码下载与部署教程

项目概述

A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:

项目地址

https://github.com/abhiTronix/vidgear

项目页面预览

abhiTronix/vidgear preview

关键指标

  • Stars:3668
  • 主要语言:Python
  • License:Apache License 2.0
  • 最近更新:2025-12-25T14:14:56Z
  • 默认分支:master

本站高速下载(国内可用)

点击下载(本站镜像)
– SHA256:31ca0b478bec9f986979bde0d23d9a5f2b3db528c296bccfd5117a7f1925022f

安装部署要点(README 精选)

Getting Started

If this is your first time using VidGear, head straight to the [Installation ➶][installation] to install VidGear.

Once you have VidGear installed, Checkout its Well-Documented [Function-Specific Gears ➶][gears]

Also, if you’re already familiar with [OpenCV][opencv] library, then see [Switching from OpenCV Library ➶][switch_from_cv]

Or, if you’re just getting started with OpenCV-Python programming, then refer this FAQ ➶

Finally, if looking for containerizing VidGear with Docker, then refer this guide ➶

 

 

常用命令(从 README 提取)

(未提取到命令块)

通用部署说明

  1. 下载源码并阅读 README
  2. 安装依赖(pip/npm/yarn 等)
  3. 配置环境变量(API Key、模型路径、数据库等)
  4. 启动服务并测试访问
  5. 上线建议:Nginx 反代 + HTTPS + 进程守护(systemd / pm2)

免责声明与版权说明

本文仅做开源项目整理与教程索引,源码版权归原作者所有,请遵循对应 License 合规使用。

© 版权声明
THE END
喜欢就支持一下吧
点赞7 分享
评论 抢沙发

请登录后发表评论

    暂无评论内容