Face classification and detection.

Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.

• IMDB gender classification test accuracy: 96%.
• fer2013 emotion classification test accuracy: 66%.

For more information please consult the publication

Emotion/gender examples:

Make inference on single images:

python3 image_emotion_gender_demo.py

if you wanna listen to music and show letters, make files named [happy,sad,natural,fear,surprise,disgust] in emotion_result

python3 image_emotion_gender_demo.py ../images/test_image.jpg

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_emotion_classifier.py

To train previous/new models for gender classification:

• Download the imdb_crop.tar file from here (It's the 7GB button with the tittle Download faces only).

• Move the downloaded file to the datasets directory inside this repository.

• Untar the file:

  tar -xfv imdb_crop.tar

• Run the train_gender_classification.py file

  python3 train_gender_classifier.py