2015-09-24 07:49:45 +08:00
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local M = { }
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-- http://stackoverflow.com/questions/6380820/get-containing-path-of-lua-file
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function script_path()
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local str = debug.getinfo(2, "S").source:sub(2)
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return str:match("(.*/)")
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end
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function M.parse(arg)
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local cmd = torch.CmdLine()
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cmd:text()
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2015-10-09 22:48:06 +08:00
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cmd:text('OpenFace')
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2015-09-24 07:49:45 +08:00
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cmd:text()
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cmd:text('Options:')
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------------ General options --------------------
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cmd:option('-cache',
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paths.concat(script_path(), 'work'),
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2016-06-14 01:29:29 +08:00
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'Directory to cache experiments and data.')
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cmd:option('-save', '', 'Directory to save experiment.')
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2015-09-24 07:49:45 +08:00
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cmd:option('-data',
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2015-10-09 22:48:06 +08:00
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paths.concat(os.getenv('HOME'), 'openface', 'data',
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2015-09-24 07:49:45 +08:00
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'casia-facescrub',
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'dlib-affine-sz:96'),
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-- 'dlib-affine-224-split'),
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2016-06-15 03:56:37 +08:00
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'Home of dataset. Images separated by identity.')
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2016-01-07 05:04:10 +08:00
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cmd:option('-manualSeed', 2, 'Manually set RNG seed')
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2016-01-12 04:36:58 +08:00
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cmd:option('-cuda', true, 'Use cuda.')
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2016-06-15 03:55:46 +08:00
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cmd:option('-device', 1, 'Cuda device to use.')
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2016-06-29 17:48:03 +08:00
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cmd:option('-nGPU', 1, 'Number of GPUs to use by default')
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2016-06-14 01:29:29 +08:00
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cmd:option('-cudnn', true, 'Convert the model to cudnn.')
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2016-06-29 17:48:03 +08:00
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cmd:option('-cudnn_bench', false, 'Run cudnn to choose fastest option. Increase memory usage')
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2015-09-24 07:49:45 +08:00
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------------- Data options ------------------------
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2016-01-07 05:04:10 +08:00
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cmd:option('-nDonkeys', 2, 'number of donkeys to initialize (data loading threads)')
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2015-09-24 07:49:45 +08:00
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------------- Training options --------------------
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2016-01-07 05:04:10 +08:00
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cmd:option('-nEpochs', 1000, 'Number of total epochs to run')
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2016-03-07 09:03:54 +08:00
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cmd:option('-epochSize', 250, 'Number of batches per epoch')
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2016-01-07 05:04:10 +08:00
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cmd:option('-epochNumber', 1, 'Manual epoch number (useful on restarts)')
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-- GPU memory usage depends on peoplePerBatch and imagesPerPerson.
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cmd:option('-peoplePerBatch', 15, 'Number of people to sample in each mini-batch.')
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cmd:option('-imagesPerPerson', 20, 'Number of images to sample per person in each mini-batch.')
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2016-03-07 08:45:37 +08:00
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cmd:option('-testing', true, 'Test with the LFW.')
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2016-03-05 07:30:39 +08:00
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cmd:option('-testBatchSize', 800, 'Batch size for testing.')
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2016-03-20 03:44:47 +08:00
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cmd:option('-lfwDir', '../data/lfw/aligned', 'LFW aligned image directory for testing.')
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2015-09-24 07:49:45 +08:00
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---------- Model options ----------------------------------
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2016-01-07 05:04:10 +08:00
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cmd:option('-retrain', 'none', 'provide path to model to retrain with')
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2015-10-09 22:48:06 +08:00
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cmd:option('-modelDef', '../models/openface/nn4.def.lua', 'path to model definiton')
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2016-01-12 05:44:50 +08:00
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cmd:option('-imgDim', 96, 'Image dimension. nn2=224, nn4=96')
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2016-01-07 05:04:10 +08:00
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cmd:option('-embSize', 128, 'size of embedding from model')
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cmd:option('-alpha', 0.2, 'margin in TripletLoss')
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2015-09-24 07:49:45 +08:00
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cmd:text()
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local opt = cmd:parse(arg or {})
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os.execute('mkdir -p ' .. opt.cache)
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2016-06-14 01:29:29 +08:00
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if opt.save == '' then
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opt.save = paths.concat(opt.cache, os.date("%Y-%m-%d_%H-%M-%S"))
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2015-09-24 07:49:45 +08:00
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end
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2016-06-14 01:29:29 +08:00
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os.execute('mkdir -p ' .. opt.save)
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2015-09-24 07:49:45 +08:00
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return opt
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end
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return M
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