Face-Recognition-Using-Python

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Face-Recognition-Using-Python

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A python based application to identify the name of the person based on the trained database

Face-Recognition-Using-Python 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Face-Recognition-Using-Python  
A face detection app: responds with name of person depending on the trained database

Preffered OS: Ubuntu 14.04 (or higher)

**Requirements:**  
Python  
OpenCV 
Framework: Flask

**Installing Python and OpenCV**    
1.	Update apt-get manager and upgrade pre-installed packages (if any) using  
	a.	`sudo apt-get update`    
	b.	`sudo apt-get upgrade`  
  
2.	 Installing development tools  
	`sudo apt-get install build-essential cmake git pkg-config`   
	cmake package : to configure our build   
  
3.	Installing Image I/O packages needs to be loaded by OpenCV from disk  
    `sudo apt-get install libjpeg8-dev libtiff4-dev libjasper-dev libpng12-dev`  
   
4.	Installing GTK development library, which highgui module of OpenCV depends on to display images on Screen:   
	`sudo apt-get install libgtk2.0-dev`  
   
5.	Packages for processing video-streams and accessing individual frames  
	`sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev`  
  
6.	Libraries to optimize routines inside OpenCV  
	`sudo apt-get install libatlas-base-dev gfortran`  
   
7.	Install “pip” – python package manager  
	a.	wget https://bootstrap.pypa.io/get-pip.py   
	b.	sudo python get-pip.py  
  
8.	Install virtualenv and virtualenvwrapper – to create separate Python Environments for each project (not mandatory but recommended)  
	
	```
	a.	 sudo pip install virtualenv virtualenvwrapper  
	b.	 sudo rm -rf ~/.cache/pip  
	c.	Update ~./bashrc file  
	        # virtualenv and virtualenvwrapper    
                export WORKON_HOME=$HOME/.virtualenvs    
                source /usr/local/bin/virtualenvwrapper.sh			
	d.	Reload the contents of bashrc file  
		source ~/.bashrc  
	e.	Make Virtual environment  
		mkvirtualenv cv
	```      
  
9.	Install Python 2.7 and numpy   	
	```
	a.	 sudo apt-get install python2.7-dev  
	b.	 pip install numpy
	```   
   
10.	Install OpenCV and supporting modules   
	```
	cd ~  
	git clone https://github.com/Itseez/opencv.git	   
	cd opencv  
	git checkout 3.0.0
	```    
  
	```
	cd ~  
	git clone https://github.com/Itseez/opencv_contrib.git	   
	cd opencv_contrib  
	git checkout 3.0.0
	```  
  
	Setup the build :   
	```
	cd ~/opencv  
	mkdir build  
   
	cd build  
	cmake -D CMAKE_BUILD_TYPE=RELEASE \
		-D CMAKE_INSTALL_PREFIX=/usr/local \
		-D INSTALL_C_EXAMPLES=ON \
		-D INSTALL_PYTHON_EXAMPLES=ON \
		-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \
		-D BUILD_EXAMPLES=ON ..  
  
	Compile OpenCV   
	make -j4
	```   
   
	Install OpenCV (if compied without error)  
	```
		sudo make install         
		sudo ldconfig
	```  
   
11.	Linking OpenCV with virtual environment “cv”  
	```
	cd ~/.virtualenvs/cv/lib/python2.7/site-packages/  
	ln -s /usr/local/lib/python2.7/site-packages/cv2.so cv2.so
	```
	
  
V.	Install framework and set up database required for accessing application

1.	`pip install flask`  
2.	Set up the database  
	`sudo apt-get install mysql-server`  
3. 	Connect to mysql by username specified while installing it  
	`mysql -u <username> -p`  
  
	a.	Create database   
		`CREATE DATABASE detect;`  
	b.	Create table  
		```
		CREATE TABLE detect.userDetails (    
		id BIGINT NULL AUTO_INCREMENT,    
		firstName VARCHAR(45) NULL,    
		lastName VARCHAR(45) NULL,    
		PRIMARY KEY (id));
		```    
				
	4.	Connecting MySQL with Flask      
		`pip install flask-mysql`
	
	
**Modify the username and password in app.py

**Running the Application:**    
1. Clone the repository or download the zip  
2. Navigate to the folder  
3. Make sure you are in root directory of project  
4. Run the server using  
		`workon cv` (cv is name of virtual environment, you created while setting up the environment)    
		`python runserver.py`  
5. To run the demo, go to `localhost:3000` on the browser  
6. The app should be running

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