Real-time facial expressions detection using CNNs with emojis superimposed.

Authors:

Mahmoud Zidan Abdallah Mohamed Ahmed Osama

Main scripts:

images_test.ipynb - Read in a single image, add the correct emoji, and write to file
video_test.ipynb - Run emotion detection in real-time (webcam - video)
reTrain_model.ipynb - Trains the model
face_detection.py - our face detection code
img_ResNetv1_mz.ipynb - using 32 layer resnet (image)
vid_ResNetv1_mz.ipynb - using 32 layer resnet (webcam - video)

Main Requirements:

Python 2.7 Lasagne Theano OpenCv dlib numpy jupyter notebook

Dataset link:

https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data