openface/training/opts.lua

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local M = { }
-- http://stackoverflow.com/questions/6380820/get-containing-path-of-lua-file
function script_path()
local str = debug.getinfo(2, "S").source:sub(2)
return str:match("(.*/)")
end
function M.parse(arg)
local cmd = torch.CmdLine()
cmd:text()
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cmd:text('OpenFace')
cmd:text()
cmd:text('Options:')
------------ General options --------------------
cmd:option('-cache',
paths.concat(script_path(), 'work'),
'Directory to cache experiments and data.')
cmd:option('-save', '', 'Directory to save experiment.')
cmd:option('-data',
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paths.concat(os.getenv('HOME'), 'openface', 'data',
'casia-facescrub',
'dlib-affine-sz:96'),
-- 'dlib-affine-224-split'),
'Home of dataset. Split into "train" and "val" directories that separate images by class.')
cmd:option('-manualSeed', 2, 'Manually set RNG seed')
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cmd:option('-cuda', true, 'Use cuda.')
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cmd:option('-device', 1, 'Cuda device to use.')
cmd:option('-cudnn', true, 'Convert the model to cudnn.')
------------- Data options ------------------------
cmd:option('-nDonkeys', 2, 'number of donkeys to initialize (data loading threads)')
------------- Training options --------------------
cmd:option('-nEpochs', 1000, 'Number of total epochs to run')
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cmd:option('-epochSize', 250, 'Number of batches per epoch')
cmd:option('-epochNumber', 1, 'Manual epoch number (useful on restarts)')
-- GPU memory usage depends on peoplePerBatch and imagesPerPerson.
cmd:option('-peoplePerBatch', 15, 'Number of people to sample in each mini-batch.')
cmd:option('-imagesPerPerson', 20, 'Number of images to sample per person in each mini-batch.')
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cmd:option('-testing', true, 'Test with the LFW.')
cmd:option('-testBatchSize', 800, 'Batch size for testing.')
cmd:option('-lfwDir', '../data/lfw/aligned', 'LFW aligned image directory for testing.')
---------- Model options ----------------------------------
cmd:option('-retrain', 'none', 'provide path to model to retrain with')
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cmd:option('-modelDef', '../models/openface/nn4.def.lua', 'path to model definiton')
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cmd:option('-imgDim', 96, 'Image dimension. nn2=224, nn4=96')
cmd:option('-embSize', 128, 'size of embedding from model')
cmd:option('-alpha', 0.2, 'margin in TripletLoss')
cmd:text()
local opt = cmd:parse(arg or {})
os.execute('mkdir -p ' .. opt.cache)
if opt.save == '' then
opt.save = paths.concat(opt.cache, os.date("%Y-%m-%d_%H-%M-%S"))
end
os.execute('mkdir -p ' .. opt.save)
return opt
end
return M