Facial-Emotion-Recognizer

• A residual network that recognizes people's expressions by looking at 48x48 pixels photos of their faces.
• If you wish to test this with your own photo, please store your photo in a grayscale 48x48 pixels png file in the same directory as "Emotion_Prediction_2.py" and name it "Face.png".
• "Emotion_Prediction_2.py" contains the main code, when you run it, it will try to categorize the facial expression in "Face.png" into one of the 7 categories: 'Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprised'.
• The fer2013 folder contains the dataset I used to train and test the model.
• Libraries required to run the code: PyTorch, Python Image Library.