Face Expression Recognition Model built using Transfer Learning(Feature extraction) from VGG pretrained model
Overview of What's happening in Edetector.py script
- Loading a pretrained VGG model from keras.applications
- Creating a VGGtop Custom Model on top of VGG Model
- Feature Extraction of Training and Validation data by passing them through VGG model
- Training VGGtop Model with Extracted Features
- Using Both the Models Predicting facial expressions of multiple faces in frame using libraries cv2,dlib