wowdeeply:

o convert the Pytorch model to NumPy, and then use Numda to accelerate.
Is this method feasible? If it is feasible, how to convert the model to numpy and use it?


does the bottle neck come from the face detection or the classification pipeline?
you might benefit from a network that does it all at once
see
  
      
      github.com
  
  
    

timesler/facenet-pytorch 8


  Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models