Flask_Face_liveness_Detectioin_Webapp

Simple Facial Recognition Web app based on flask framework and OpenCV.

Prerequisites:

• Python3.6

• OpenCV

• Flask

Installation

• Open Terminal Using ctrl+alt+t Then Type $ git clone https://github.com/data-peace/datapeace-junkyard.git .

• Get Into Web App Directory

$ cd  datapeace-junkyard/projects/face_spoofing_demo/

• Make Virtual Envirment

$ python3.6 -m venv .venv

• Activate Virtual Enviroment

$ source .venv/bin/activate 

• Install requirements

$ pip install -r requirements.txt

Heroku Deployment

Using Heroku CLI Aptfile Procfile supervisor.conf

$ git init 
$ git add .
$ git commit -m "commit changes"
$ heroku login    
$ heroku apps  <choose Your app >
$ heroku git:remote -a <appname>
$ heroku create face-spoofing-demo <appname>
$ git push heroku master

Using Supervisor Utility

• gunicorn and supervisor is succesfulle installed in virtual enviroment
• add app root in .env

$ supervisord -c supervisor.conf 

• Use supervisorctl to control server

$ supervisorctl -c supervisor.conf
$ supervisor > status 
`It Shows Cureent running app status`
$ supervisor > stop app 
`to stop running app by name`
$ supervisor > exit

Manual Run

• All Requirements Are Succesfully Installed in Virtual Eniviromnet

• Running Server

$python3.6 app.py 

• Now Flask Server start on Localhost With Url [http://localhost:5555/]

Feature

• For Webcam Capturing Visit

• http://localhost:5555/

• For Image Uplod Visit

• http://localhost:5555/image/

click

[Face Detection]https://face-spoofing-demo.herokuapp.com/