85 lines
3.4 KiB
Lua
85 lines
3.4 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-training")
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cmd:text("Options:")
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cmd:option("-gpu", -1, 'GPU Device ID')
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cmd:option("-seed", 11, 'RNG seed')
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cmd:option("-data_dir", "./data", 'path to data directory')
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cmd:option("-backend", "cunn", '(cunn|cudnn)')
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cmd:option("-test", "images/miku_small.png", 'path to test image')
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cmd:option("-model_dir", "./models", 'model directory')
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cmd:option("-method", "scale", 'method to training (noise|scale)')
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cmd:option("-noise_level", 1, '(1|2)')
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cmd:option("-style", "art", '(art|photo)')
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cmd:option("-color", 'rgb', '(y|rgb)')
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cmd:option("-random_color_noise_rate", 0.0, 'data augmentation using color noise (0.0-1.0)')
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cmd:option("-random_overlay_rate", 0.0, 'data augmentation using flipped image overlay (0.0-1.0)')
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cmd:option("-random_half_rate", 0.0, 'data augmentation using half resolution image (0.0-1.0)')
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cmd:option("-random_unsharp_mask_rate", 0.0, 'data augmentation using unsharp mask (0.0-1.0)')
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cmd:option("-scale", 2.0, 'scale factor (2)')
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cmd:option("-learning_rate", 0.001, 'learning rate for adam')
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cmd:option("-crop_size", 46, 'crop size')
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cmd:option("-max_size", 256, 'if image is larger than max_size, image will be crop to max_size randomly')
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cmd:option("-batch_size", 32, 'mini batch size')
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cmd:option("-patches", 16, 'number of patch samples')
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cmd:option("-inner_epoch", 4, 'number of inner epochs')
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cmd:option("-epoch", 30, 'number of epochs to run')
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cmd:option("-thread", -1, 'number of CPU threads')
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cmd:option("-jpeg_chroma_subsampling_rate", 0.0, 'the rate of YUV 4:2:0/YUV 4:4:4 in denoising training (0.0-1.0)')
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cmd:option("-validation_rate", 0.05, 'validation-set rate (number_of_training_images * validation_rate > 1)')
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cmd:option("-validation_crops", 80, 'number of cropping region per image 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", 10, 'active cropping tries')
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cmd:option("-nr_rate", 0.75, 'trade-off between reducing noise and erasing details (0.0-1.0)')
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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.style == "art" or
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settings.style == "photo") then
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error(string.format("unknown style: %s", settings.style))
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end
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if settings.thread > 0 then
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torch.setnumthreads(tonumber(settings.thread))
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end
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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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return settings
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