| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162 | 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 = 7torch.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")endwaifu2x()
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