require 'cudnn' require 'sys' require 'pl' require './lib/LeakyReLU' local iproc = require './lib/iproc' local reconstract = require './lib/reconstract' local image_loader = require './lib/image_loader' local BLOCK_OFFSET = 7 torch.setdefaulttensortype('torch.FloatTensor') local function waifu2x() local cmd = torch.CmdLine() cmd:text() cmd:text("waifu2x") cmd:text("Options:") cmd:option("-i", "images/miku_small.png", 'path of input image') cmd:option("-o", "(auto)", 'path of output') cmd:option("-model_dir", "./models", 'model directory') cmd:option("-m", "noise_scale", 'method (noise|scale|noise_scale)') cmd:option("-noise_level", 1, '(1|2)') cmd:option("-crop_size", 128, 'crop size') local opt = cmd:parse(arg) if opt.o == "(auto)" then local name = path.basename(opt.i) local e = path.extension(name) local base = name:sub(0, name:len() - e:len()) opt.o = path.join(path.dirname(opt.i), string.format("%s(%s).png", base, opt.m)) end local x = image_loader.load_float(opt.i) local new_x = nil local t = sys.clock() if opt.m == "noise" then local model = torch.load(path.join(opt.model_dir, ("noise%d_model.t7"):format(opt.noise_level)), "ascii") model:evaluate() new_x = reconstract(model, x, BLOCK_OFFSET) elseif opt.m == "scale" then local model = torch.load(path.join(opt.model_dir, "scale2.0x_model.t7"), "ascii") model:evaluate() x = iproc.scale(x, x:size(3) * 2.0, x:size(2) * 2.0) new_x = reconstract(model, x, BLOCK_OFFSET) elseif opt.m == "noise_scale" then local noise_model = torch.load(path.join(opt.model_dir, ("noise%d_model.t7"):format(opt.noise_level)), "ascii") local scale_model = torch.load(path.join(opt.model_dir, "scale2.0x_model.t7"), "ascii") noise_model:evaluate() scale_model:evaluate() x = reconstract(noise_model, x, BLOCK_OFFSET) x = iproc.scale(x, x:size(3) * 2.0, x:size(2) * 2.0) new_x = reconstract(scale_model, x, BLOCK_OFFSET) else error("undefined method:" .. opt.method) end image.save(opt.o, new_x) print(opt.o .. ": " .. (sys.clock() - t) .. " sec") end waifu2x()