sunilbhatia/hackathon1

Revert "Updating the model definition - used resnet50"

Updating the model definition - used resnet50

Revised model with 41% testing phase accuracy

Added expression capture

Updating the face recognition model from cpu to .to(device)

Final model

Code clean up on the face recognition files

Adding captured face images for faster integration

Changed the model back to GPU

Updates to face expression recognition

Updates to face expression recognition

Updates to face expression recognition

Updates to face expression recognition

Committing the mode for expression recognition

Adding expression model

Updated MLP Classification file

Changed the name of joblib file

Changed the name of joblib file

Changed the name of joblib file

Changed the name of joblib file

First commit for Stage 3 - face recognition

Added debugging statements

Added debugging statements

Changed the code model to be cpu

Added a cpu model

More changes to face recognition py file

More changes to face recognition py file

More changes to get Stage 2 working

Fixed a missing class from torch.autograd import Variable

Updated the name of the model

Adding the model

Initial commit for Stage 2

initial commit