Facial_Expression_Classifier

Real-time classification from webcam feed:

Classifying still images:

How does it work?

• This uses OpenCV’s Haar cascades to detect and extract the facial region from an image or the webcam frame.

• Then this image is passed through the trained CNN, which returns a tensor corresponding to the predicted class.

Resources used:

• FER_2013_Dataset
• haarcascade_frontalface_default.xml
• Tutorial for using Haar Cascades

To Do

1. Balance the dataset.
2. Augment training data to increase overall robustness of the model.
3. Implement the whole thing using PyTorch.