Real-Time-Emotion-Detection-from-face

Developed a vision system that performs face detection and emotion classification in a single integrated module Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.

fer2013 emotion classification test accuracy: 66%.

To train previous/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

Run the train_emotion_classification.py file

python3 train.py

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