ankit2web / Expression-Detection-using-Tensorflow-Machine-Learning

Expression Detection using Tensorflow (Machine Learning)

How to setup the environment to use this project ?

1. Download & Install 64 bit of Python3 on your system from.

2. Once python is installed, download virtualenv package on your system. To do that open any terminal window on your system (CMD/Powershell on Windows) & type python -m pip install virtualenv

3. Now create a virtual environment in the project's root directory to hold all the required dependencies needed to execute this project. To do that, navigate to root of this project & open a terminal window over there & then type python -m virtualenv venv

4. Activate the virtual environment

• On windows : venv\Scripts\activate
• On mac/linux : source venv/bin/activate

5. Virtual environment will be activated & (venv) will start appearing in your terminal window indicating successful activation of the virtual environment

6. Install project dependencies, pip install -r requirements.txt

7. Now all required packages will be installed.

8. Now run ROI.py : python ROI.py

9. Train the CNN Model using test dataset : python TrainCNNModel.py

10. Start init script after all train epochs are completed : python ExpressionInit.py

11. It should now open a camera window which will detect Expressions of any person present in front of it, Cheers !!