Emotion Recognition

This software recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.

Installation

Install these dependencies with pip3 install <module name>

tensorflow
numpy
scipy
opencv-python
pillow
pandas
matplotlib
h5py
keras

Once the dependencies are installed, you can run the project. python3 emotions.py

To train new models for emotion classification

Download the fer2013.tar.gz file from here
Move the downloaded file to the datasets directory inside this repository.
Untar the file: tar -xzf fer2013.tar
Use train_emotion_classifier.py for training
Run the train_emotion_classification.py file: python3 train_emotion_classifier.py

Deep Learning Model

The model used is from this research paper written by Octavio Arriaga, Paul G. Plöger, and Matias Valdenegro.

Credit

Computer vision powered by OpenCV.
Neural network scaffolding powered by Keras with Tensorflow.
Convolutional Neural Network (CNN) deep learning architecture is from this research paper.