Link to model trained using PS dataset

https://www.dropbox.com/s/q89g5kfuke6c348/hardnet-PS.t7?dl=1

The model is built using using nn package from Torch 7

Usage

The patches should be of type CudaTensor of size 1 x 32 x 32 with values ranging from 0-1. Each patch should have zero mean and unit standard deviation, i.e. p:add(-p:mean()) and then p:div(p:std())

require 'torch'
require 'nn'
require 'cudnn'
require 'cunn'

network:evaluate()
descriptor = network:forward(p)

Link to model trained using PS dataset in PyTorch

https://www.dropbox.com/s/1p9e8vtf57gl9jc/PyTorch-hardnet-PS-CPU.pth?dl=1