This is a model trained to recognize seven types of emotion by watching face images. The emotions are: Anger, desgust, fearness, happyness, neutrality, sadness and surprise. The training and test datasets used are uploaded in the train and test folders respectively and the Models folder contains some model weights saved.
File description: main.py holds the code used for the training phase reaTimeApp.py uses the model "trained_model2.h5" to decide which emotion is showing the face detected throw the pc camera. To define the square containing the face the library openCV is used.