Siamese Capsule Networks

This repository contains the code to implement Siamese Capsule Networks for face verification.

You will need to follow the following steps:

First run python setup.py install. If you have a GPU this should install fine on linux but you may have to install directly on pytorch.org and choose the correct settings for your cuda driver version.
Then download "All image with funnelling" from here http://vis-www.cs.umass.edu/lfw/#deepfunnel-anchor and place data/lfw/. Similarly download the AT&T dataset training and test splits from here - https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html and store in data/att_faces
Make sure the names of the folder paths

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.idea		.idea
results		results
siamese_capsule_network		siamese_capsule_network
README.md		README.md
__init__.py		__init__.py
capsule_network.py		capsule_network.py
data_loader.py		data_loader.py
eval_lfw.py		eval_lfw.py
helpers.py		helpers.py
loaders.py		loaders.py
losses.py		losses.py
main.py		main.py
metrics.py		metrics.py
models.py		models.py
regularizers.py		regularizers.py
setup.py		setup.py
utils.py		utils.py

kckishan/siamcapsnet