main.lua

-- Copyright 2018 Anurag Ranjan and the Max Planck Gesellschaft.
-- All rights reserved.
-- This software is provided without any warranty.
-- By using this software you agree to the terms of the license file
-- in the root folder.

--
--  Copyright (c) 2014, Facebook, Inc.
--  All rights reserved.
--
--  This source code is licensed under the BSD-style license found in the
--  LICENSE file in the root directory of this source tree. An additional grant
--  of patent rights can be found in the PATENTS file in the same directory.
--
require 'torch'
require 'cutorch'
require 'paths'
require 'xlua'
require 'optim'
require 'nn'
require 'image'

torch.setdefaulttensortype('torch.FloatTensor')

local opts = paths.dofile('opts.lua')

opt = opts.parse(arg)

print('Saving everything to: ' .. opt.save)
os.execute('mkdir -p ' .. opt.save)
--io.output(paths.concat(opt.save, 'opts.log')):setvbuf("line") -- for flush() like thing for printing
--nClasses = opt.nClasses

paths.dofile('util.lua')
paths.dofile('model.lua')
opt.imageSize = model.imageSize or opt.imageSize
opt.outputSize = model.outputSize or opt.outputSize

-- opt.imageCrop = model.imageCrop or opt.imageCrop

print(opt)

cutorch.setDevice(opt.GPU) -- by default, use GPU 1
torch.manualSeed(opt.manualSeed)

paths.dofile('data.lua')
paths.dofile('train.lua')
paths.dofile('test.lua')

epoch = opt.epochNumber

for i=1,opt.nEpochs do
   train()
   test()
   epoch = epoch + 1
end