8dea362bed
- Memory compression by snappy (lua-csnappy) - Use RGB-wise Weighted MSE(R*0.299, G*0.587, B*0.114) instead of MSE - Aggressive cropping for edge region and some change.
95 lines
3.2 KiB
Lua
95 lines
3.2 KiB
Lua
require 'xlua'
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require 'pl'
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require 'trepl'
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-- global settings
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if package.preload.settings then
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return package.preload.settings
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end
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-- default tensor type
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torch.setdefaulttensortype('torch.FloatTensor')
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local settings = {}
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local cmd = torch.CmdLine()
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cmd:text()
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cmd:text("waifu2x")
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cmd:text("Options:")
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cmd:option("-seed", 11, 'fixed input seed')
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cmd:option("-data_dir", "./data", 'data directory')
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-- cmd:option("-backend", "cunn", '(cunn|cudnn)') -- cudnn is slow than cunn
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cmd:option("-test", "images/miku_small.png", 'test image file')
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cmd:option("-model_dir", "./models", 'model directory')
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cmd:option("-method", "scale", '(noise|scale|noise_scale)')
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cmd:option("-noise_level", 1, '(1|2)')
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cmd:option("-category", "anime_style_art", '(anime_style_art|photo)')
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cmd:option("-color", 'rgb', '(y|rgb)')
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cmd:option("-color_noise", 0, 'enable data augmentation using color noise (1|0)')
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cmd:option("-overlay", 0, 'enable data augmentation using overlay (1|0)')
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cmd:option("-scale", 2.0, 'scale')
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cmd:option("-learning_rate", 0.00025, 'learning rate for adam')
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cmd:option("-random_half", 1, 'enable data augmentation using half resolution image (0|1)')
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cmd:option("-crop_size", 128, 'crop size')
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cmd:option("-max_size", -1, 'crop if image size larger then this value.')
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cmd:option("-batch_size", 2, 'mini batch size')
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cmd:option("-epoch", 200, 'epoch')
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cmd:option("-core", 2, 'cpu core')
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cmd:option("-jpeg_sampling_factors", 444, '(444|422)')
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cmd:option("-validation_ratio", 0.1, 'validation ratio')
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cmd:option("-validation_crops", 40, 'number of crop region in validation')
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cmd:option("-active_cropping_rate", 0.5, 'active cropping rate')
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cmd:option("-active_cropping_tries", 20, 'active cropping tries')
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local opt = cmd:parse(arg)
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for k, v in pairs(opt) do
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settings[k] = v
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end
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if settings.method == "noise" then
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settings.model_file = string.format("%s/noise%d_model.t7",
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settings.model_dir, settings.noise_level)
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elseif settings.method == "scale" then
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settings.model_file = string.format("%s/scale%.1fx_model.t7",
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settings.model_dir, settings.scale)
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elseif settings.method == "noise_scale" then
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settings.model_file = string.format("%s/noise%d_scale%.1fx_model.t7",
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settings.model_dir, settings.noise_level, settings.scale)
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else
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error("unknown method: " .. settings.method)
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end
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if not (settings.color == "rgb" or settings.color == "y") then
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error("color must be y or rgb")
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end
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if not (settings.scale == math.floor(settings.scale) and settings.scale % 2 == 0) then
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error("scale must be mod-2")
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end
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if not (settings.category == "anime_style_art" or
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settings.category == "photo") then
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error(string.format("unknown category: %s", settings.category))
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end
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if settings.random_half == 1 then
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settings.random_half = true
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else
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settings.random_half = false
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end
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if settings.color_noise == 1 then
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settings.color_noise = true
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else
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settings.color_noise = false
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end
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if settings.overlay == 1 then
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settings.overlay = true
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else
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settings.overlay = false
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end
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torch.setnumthreads(settings.core)
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settings.images = string.format("%s/images.t7", settings.data_dir)
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settings.image_list = string.format("%s/image_list.txt", settings.data_dir)
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settings.backend = "cunn"
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return settings
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