santhoshnp/Face-Recognition-Using-Python

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

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 -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

Exceuting 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