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store_traffic_statistics's Introduction

This open source project can count the flow of people entering the mall
这个开源项目可以统计进入购物中心的人数
The underlying algorithm of this project is based on face recognition
本项目的底层算法基于人脸识别
In order to facilitate the display of data, I wrote a simple web service that uses ajax to refresh the data in real time
为了便于数据展示,我写了一个简单的web 服务,采用ajax 实现数据的实时刷新
I use MongoDB for the back-end database
后端数据库我采用MongoDB

Quick start

  1. sudo apt install mongodb

  2. Either install using pip wait about some minintr:

    pip install  -r requirements.txt
  3. add your face into data/test_image:

    
    cd ./deep_face/data/test_images
    
    mkdir your_name
    
  4. add your face picture into /deep_face/data/test_images

  5. run the code :

    python multi_face_trace_recongnize.py
    
  6. cd web_ui
    python server.py
    

web page

A full face tracking example by opencv can be found at

在mtcnn 下加入下面代码

if str(boxes)=='None': selected_boxes.append(None) selected_probs.append([None]) selected_points.append(None) continue

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