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This project forked from zhangdilu/goldfish

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Frontend codes for course project of Digital Image Processing

CSS 46.88% JavaScript 31.00% HTML 16.32% Python 5.80%

pedestrian-characteristics-identification's Introduction

框架

  • JS+Flask+MongoDB

安装

  • 通过pip install -r requirements安装所需包

运行

  • 命令行键入“python server.py runserver”启动服务器
  • 浏览器访问“127.0.0.1:5000 ”,点击“请选择”按钮,选择文件并上传
  • 可以起一个虚拟机测试,虚拟机采用桥接模式.

流程

  • 进入网页点击upload按钮
  • 上传文件至服务器端,上传成功后跑模型
  • 此处省略
  • 生成新的视频,放入指定文件夹内,并将数据保存进数据库
  • 前端接收信息,并播放视频
  • 查看表格(数据库内容

pedestrian-characteristics-identification's People

Contributors

michellehong avatar zhangdilu avatar

Watchers

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