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

For More Details Contact

Sainjal