A live emotion recognition tool made using Deep learning and openCV.
1) OpenCV
2) Pytorch
3) Fastai
4) Python 3
The dataset and the pre-trained model used have been uploaded in the Respository, if you would like to make your own model run the make_model.py file.
The given model works on `Resnet34` architecture and I have used a pretrained model.
What is a Pre-trained Model?
A pre-trained model has been previously trained on a dataset and contains the weights and biases that represent the features of whichever dataset it was trained on. Learned features are often transferable to different data. For example, a model trained on a large dataset of bird images will contain learned features like edges or horizontal lines that you would be transferable your dataset.
Why use a Pre-trained Model?
Pre-trained models are beneficial to us for many reasons. By using a pre-trained model you are saving time. Someone else has already spent the time and compute resources to learn a lot of features and your model will likely benefit from it.
If you would want a preview you can checkout the Image along with this repository for a proof of what has been done.