README.txt

                                          User Manual


## Follow the given procedure to Setup and installation of required libraries

**STEP 1:** Create an environment using the below commands
      **Setup the pip package manager**
      ```
      $ pip install -U pip
      ```
      * **Install the virtualenv package**\
      The virtualenv package is required to create virtual environments. You can install it with pip:
      ```
      $ pip install virtualenv
      ```
      **Create the virtual environment**\
      To create a virtual environment, you must specify a path. For example to create one in the local directory called ‘mypython’, type the following:
      ```
      $ virtualenv mypython
      ```
      **Activate the virtual environment**\
      You can activate the python environment by running the following command:
      ```
      $ source mypython/bin/activate
      ```

**STEP 2:** Install Python (We've used Python3.7) using the command
      ```
      $ sudo apt install python3.7
      ```

**STEP 3:** Install Jupyter Nodebook using the command
      ```
      $ pip install notebook
      ```

**STEP 4:** Install The following required libraries
      **Install 'OpenCV' using the command**
      ```
      $ pip install opencv-python
      ```
      **Install 'Numpy' using the command**
      ```
      $ pip install numpy
      ```
      > * **Install 'Pandas' using the command**
      ```
      $ pip install pandas
      ```
      **Install 'Scipy' using the command**
      ```
      $ pip install scipy
      ```
      > * **Install 'Dlib', after installing few prerequisites using the command**
      ```
      $ sudo apt-get install build-essential cmake
      $ sudo apt-get install libgtk-3-dev
      $ sudo apt-get install libboost-all-dev
      $ pip install scikit-image
      $ pip install dlib
      ```
      **STEP 4:** After above installations
      ***Option 1:*** Either clone the repository using the below command, and move to directory **".../Smart_Monitoring_System/Code"** and open **'classroom monitor.ipynb'** in Jupyter Notebook. And pass the directory of **'shape_predictor_68_face_landmarks.dat'** file, where it is required in the code.
      ```
      https://github.com/dheeraj-2000/Smart_Monitoring_System.git
      ```
      ***Option 2:*** Or, After Unzipping this folder, move to **".../Smart_Monitoring_System/Code"** and open **'classroom monitor.ipynb'** in Jupyter Notebook. And pass the directory of **'shape_predictor_68_face_landmarks.dat'** file, where it is required in the code.




Note: Results folder contains Videos for various Testcases with their correspinding plots.