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waifu2x/image_generators/dots/gen.lua
2016-06-08 06:38:26 +09:00

124 lines
2.8 KiB
Lua

require 'pl'
require 'image'
require 'trepl'
local gm = require 'graphicsmagick'
torch.setdefaulttensortype("torch.FloatTensor")
local function color(black)
local r, g, b
if torch.uniform() > 0.8 then
if black then
return {0, 0, 0}
else
return {1, 1, 1}
end
else
if torch.uniform() > 0.7 then
r = torch.random(0, 1)
else
r = torch.uniform(0, 1)
end
if torch.uniform() > 0.7 then
g = torch.random(0, 1)
else
g = torch.uniform(0, 1)
end
if torch.uniform() > 0.7 then
b = torch.random(0, 1)
else
b = torch.uniform(0, 1)
end
end
return {r,g,b}
end
local function gen_mod()
local f = function()
local xm = torch.random(2, 4)
local ym = torch.random(2, 4)
return function(x, y) return x % xm == 0 and y % ym == 0 end
end
return f()
end
local function dot()
local sp = 1
local blocks = {}
local n = 64
local s = 24
for i = 1, n do
local block = torch.Tensor(3, s, s)
local margin = torch.random(1, 3)
local size = torch.random(1, 5)
local mod = gen_mod()
local swap_color = torch.uniform() > 0.5
local fg, bg
if swap_color then
fg = color()
bg = color(true)
else
fg = color(true)
bg = color()
end
local use_cross_and_skip = torch.uniform() > 0.5
for j = 1, 3 do
block[j]:fill(bg[j])
end
for y = margin, s - margin do
local b = 0
if use_cross_and_skip and torch.random(0, 1) == 1 then
b = torch.random(0, 1)
end
for x = margin, s - margin do
local yc = math.floor(y / size)
local xc = math.floor(x / size)
if use_corss_and_skip then
if torch.uniform() > 0.25 and mod(yc + b, xc + b) then
block[1][y][x] = fg[1]
block[2][y][x] = fg[2]
block[3][y][x] = fg[3]
end
else
if mod(yc + b, xc + b) then
block[1][y][x] = fg[1]
block[2][y][x] = fg[2]
block[3][y][x] = fg[3]
end
end
end
end
block = image.scale(block, s * 2, s * 2, "simple")
if (not use_corss_and_skip) and size >= 3 and torch.uniform() > 0.5 then
block = image.rotate(block, math.pi / 4, "bilinear")
end
blocks[i] = block
end
local img = torch.Tensor(#blocks, 3, s * 2, s * 2)
for i = 1, #blocks do
img[i]:copy(blocks[i])
end
img = image.toDisplayTensor({input = img, padding = 0, nrow = math.pow(n, 0.5), min = 0, max = 1})
return img
end
local function gen()
return dot()
end
local cmd = torch.CmdLine()
cmd:text()
cmd:text("dot image generator")
cmd:text("Options:")
cmd:option("-o", "", 'output directory')
cmd:option("-n", 64, 'number of images')
local opt = cmd:parse(arg)
if opt.o:len() == 0 then
cmd:help()
os.exit(1)
end
for i = 1, opt.n do
local img = gen()
image.save(path.join(opt.o, i .. ".png"), img)
end