Speed considerations for loading Caffe features

[mgh1]

It seems the main method to load Caffe's CNN features is from the caffe function in vislab / features / misc.py. I have several questions on performance:

1. Why does the Caffe method in misc.py use CPU instead of GPU?
2. Does your Caffe method do the 256x256 resizing or should I do that as a pre-proccessing step?
3. What is the downside to using extract_features.bin from the Caffe project to extract the features for vislab?
4. Just for reference to see if I'm on track - what is the expected time to extract features, from ~50,000 images?

Thank you Sergey!