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ankit2web/Expression-Detection-using-Tensorflow-Machine-Learning
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Download & Install 64 bit ofPython3 on your system from.
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
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
Activate the virtual environment
- On windows :
venv\Scripts\activate
- On mac/linux :
source venv/bin/activate
Virtual environment will be activated &
(venv)
will start appearing in your terminal window indicating successful activation of the virtual environmentInstall project dependencies,
pip install -r requirements.txt
Now all required packages will be installed.
Now run ROI.py :
python ROI.py
Train the CNN Model using test dataset :
python TrainCNNModel.py
Start init script after all train epochs are completed :
python ExpressionInit.py
It should now open a camera window which will detect Expressions of any person present in front of it, Cheers !!
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