5b4d692f03
- add new RGB model (models/anime_style_art_rgb). - RGB model can reduce color noise. - waifu2x uses this RGB model by default. You can use Y model with: $ th waifu2x.lua -model_dir models/anime_style_art -i input.png -o output.png $ th train.lua -color y ...
291 lines
9.7 KiB
Lua
291 lines
9.7 KiB
Lua
require 'image'
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local gm = require 'graphicsmagick'
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local iproc = require './iproc'
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local reconstruct = require './reconstruct'
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local pairwise_transform = {}
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local function random_half(src, p, min_size)
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p = p or 0.5
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local filter = ({"Box","Blackman", "SincFast", "Jinc"})[torch.random(1, 4)]
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if p > torch.uniform() then
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return iproc.scale(src, src:size(3) * 0.5, src:size(2) * 0.5, filter)
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else
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return src
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end
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end
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local function color_augment(x)
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local color_scale = torch.Tensor(3):uniform(0.8, 1.2)
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x = x:float():div(255)
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for i = 1, 3 do
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x[i]:mul(color_scale[i])
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end
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x[torch.lt(x, 0.0)] = 0.0
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x[torch.gt(x, 1.0)] = 1.0
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return x:mul(255):byte()
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end
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local function flip_augment(x, y)
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local flip = torch.random(1, 4)
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if y then
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if flip == 1 then
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x = image.hflip(x)
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y = image.hflip(y)
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elseif flip == 2 then
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x = image.vflip(x)
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y = image.vflip(y)
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elseif flip == 3 then
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x = image.hflip(image.vflip(x))
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y = image.hflip(image.vflip(y))
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elseif flip == 4 then
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end
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return x, y
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else
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if flip == 1 then
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x = image.hflip(x)
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elseif flip == 2 then
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x = image.vflip(x)
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elseif flip == 3 then
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x = image.hflip(image.vflip(x))
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elseif flip == 4 then
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end
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return x
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end
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end
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local INTERPOLATION_PADDING = 16
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function pairwise_transform.scale(src, scale, size, offset, options)
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options = options or {color_augment = true, random_half = true, rgb = true}
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if options.random_half then
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src = random_half(src)
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end
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local yi = torch.random(INTERPOLATION_PADDING, src:size(2) - size - INTERPOLATION_PADDING)
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local xi = torch.random(INTERPOLATION_PADDING, src:size(3) - size - INTERPOLATION_PADDING)
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local down_scale = 1.0 / scale
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local y = image.crop(src,
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xi - INTERPOLATION_PADDING, yi - INTERPOLATION_PADDING,
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xi + size + INTERPOLATION_PADDING, yi + size + INTERPOLATION_PADDING)
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local filters = {
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"Box", -- 0.012756949974688
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"Blackman", -- 0.013191924552285
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--"Cartom", -- 0.013753536746706
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--"Hanning", -- 0.013761314529647
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--"Hermite", -- 0.013850225205266
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"SincFast", -- 0.014095824314306
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"Jinc", -- 0.014244299255442
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}
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local downscale_filter = filters[torch.random(1, #filters)]
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y = flip_augment(y)
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if options.color_augment then
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y = color_augment(y)
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end
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local x = iproc.scale(y, y:size(3) * down_scale, y:size(2) * down_scale, downscale_filter)
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x = iproc.scale(x, y:size(3), y:size(2))
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y = y:float():div(255)
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x = x:float():div(255)
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if options.rgb then
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else
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y = image.rgb2yuv(y)[1]:reshape(1, y:size(2), y:size(3))
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x = image.rgb2yuv(x)[1]:reshape(1, x:size(2), x:size(3))
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end
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y = image.crop(y, INTERPOLATION_PADDING + offset, INTERPOLATION_PADDING + offset, y:size(3) - offset - INTERPOLATION_PADDING, y:size(2) - offset - INTERPOLATION_PADDING)
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x = image.crop(x, INTERPOLATION_PADDING, INTERPOLATION_PADDING, x:size(3) - INTERPOLATION_PADDING, x:size(2) - INTERPOLATION_PADDING)
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return x, y
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end
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function pairwise_transform.jpeg_(src, quality, size, offset, options)
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options = options or {color_augment = true, random_half = true, rgb = true}
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if options.random_half then
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src = random_half(src)
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end
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local yi = torch.random(0, src:size(2) - size - 1)
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local xi = torch.random(0, src:size(3) - size - 1)
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local y = src
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local x
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if options.color_augment then
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y = color_augment(y)
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end
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x = y
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for i = 1, #quality do
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x = gm.Image(x, "RGB", "DHW")
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x:format("jpeg")
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x:samplingFactors({1.0, 1.0, 1.0})
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local blob, len = x:toBlob(quality[i])
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x:fromBlob(blob, len)
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x = x:toTensor("byte", "RGB", "DHW")
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end
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y = image.crop(y, xi, yi, xi + size, yi + size)
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x = image.crop(x, xi, yi, xi + size, yi + size)
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y = y:float():div(255)
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x = x:float():div(255)
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x, y = flip_augment(x, y)
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if options.rgb then
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else
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y = image.rgb2yuv(y)[1]:reshape(1, y:size(2), y:size(3))
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x = image.rgb2yuv(x)[1]:reshape(1, x:size(2), x:size(3))
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end
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return x, image.crop(y, offset, offset, size - offset, size - offset)
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end
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function pairwise_transform.jpeg(src, level, size, offset, options)
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if level == 1 then
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return pairwise_transform.jpeg_(src, {torch.random(65, 85)},
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size, offset,
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options)
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elseif level == 2 then
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local r = torch.uniform()
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if r > 0.6 then
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return pairwise_transform.jpeg_(src, {torch.random(27, 70)},
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size, offset,
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options)
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elseif r > 0.3 then
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local quality1 = torch.random(37, 70)
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local quality2 = quality1 - torch.random(5, 10)
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return pairwise_transform.jpeg_(src, {quality1, quality2},
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size, offset,
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options)
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else
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local quality1 = torch.random(52, 70)
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return pairwise_transform.jpeg_(src,
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{quality1,
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quality1 - torch.random(5, 15),
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quality1 - torch.random(15, 25)},
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size, offset,
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options)
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end
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else
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error("unknown noise level: " .. level)
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end
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end
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function pairwise_transform.jpeg_scale_(src, scale, quality, size, offset, options)
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if options.random_half then
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src = random_half(src)
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end
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local down_scale = 1.0 / scale
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local filters = {
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"Box", -- 0.012756949974688
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"Blackman", -- 0.013191924552285
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--"Cartom", -- 0.013753536746706
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--"Hanning", -- 0.013761314529647
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--"Hermite", -- 0.013850225205266
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"SincFast", -- 0.014095824314306
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"Jinc", -- 0.014244299255442
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}
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local downscale_filter = filters[torch.random(1, #filters)]
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local yi = torch.random(INTERPOLATION_PADDING, src:size(2) - size - INTERPOLATION_PADDING)
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local xi = torch.random(INTERPOLATION_PADDING, src:size(3) - size - INTERPOLATION_PADDING)
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local y = src
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local x
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if options.color_augment then
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y = color_augment(y)
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end
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x = y
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x = iproc.scale(x, y:size(3) * down_scale, y:size(2) * down_scale, downscale_filter)
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for i = 1, #quality do
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x = gm.Image(x, "RGB", "DHW")
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x:format("jpeg")
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x:samplingFactors({1.0, 1.0, 1.0})
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local blob, len = x:toBlob(quality[i])
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x:fromBlob(blob, len)
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x = x:toTensor("byte", "RGB", "DHW")
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end
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x = iproc.scale(x, y:size(3), y:size(2))
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y = image.crop(y,
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xi, yi,
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xi + size, yi + size)
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x = image.crop(x,
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xi, yi,
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xi + size, yi + size)
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x = x:float():div(255)
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y = y:float():div(255)
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x, y = flip_augment(x, y)
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if options.rgb then
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else
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y = image.rgb2yuv(y)[1]:reshape(1, y:size(2), y:size(3))
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x = image.rgb2yuv(x)[1]:reshape(1, x:size(2), x:size(3))
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end
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return x, image.crop(y, offset, offset, size - offset, size - offset)
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end
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function pairwise_transform.jpeg_scale(src, scale, level, size, offset, options)
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options = options or {color_augment = true, random_half = true}
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if level == 1 then
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return pairwise_transform.jpeg_scale_(src, scale, {torch.random(65, 85)},
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size, offset, options)
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elseif level == 2 then
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local r = torch.uniform()
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if r > 0.6 then
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return pairwise_transform.jpeg_scale_(src, scale, {torch.random(27, 70)},
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size, offset, options)
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elseif r > 0.3 then
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local quality1 = torch.random(37, 70)
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local quality2 = quality1 - torch.random(5, 10)
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return pairwise_transform.jpeg_scale_(src, scale, {quality1, quality2},
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size, offset, options)
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else
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local quality1 = torch.random(52, 70)
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return pairwise_transform.jpeg_scale_(src, scale,
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{quality1,
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quality1 - torch.random(5, 15),
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quality1 - torch.random(15, 25)},
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size, offset, options)
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end
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else
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error("unknown noise level: " .. level)
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end
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end
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local function test_jpeg()
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local loader = require './image_loader'
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local src = loader.load_byte("../images/miku_CC_BY-NC.jpg")
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local y, x = pairwise_transform.jpeg_(src, {}, 128, 0, false)
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image.display({image = y, legend = "y:0"})
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image.display({image = x, legend = "x:0"})
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for i = 2, 9 do
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local y, x = pairwise_transform.jpeg_(pairwise_transform.random_half(src),
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{i * 10}, 128, 0, {color_augment = false, random_half = true})
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image.display({image = y, legend = "y:" .. (i * 10), max=1,min=0})
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image.display({image = x, legend = "x:" .. (i * 10),max=1,min=0})
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--print(x:mean(), y:mean())
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end
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end
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local function test_scale()
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local loader = require './image_loader'
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local src = loader.load_byte("../images/miku_CC_BY-NC.jpg")
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for i = 1, 9 do
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local y, x = pairwise_transform.scale(src, 2.0, 128, 7, {color_augment = true, random_half = true, rgb = true})
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image.display({image = y, legend = "y:" .. (i * 10), min = 0, max = 1})
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image.display({image = x, legend = "x:" .. (i * 10), min = 0, max = 1})
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print(y:size(), x:size())
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--print(x:mean(), y:mean())
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end
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end
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local function test_jpeg_scale()
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local loader = require './image_loader'
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local src = loader.load_byte("../images/miku_CC_BY-NC.jpg")
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for i = 1, 9 do
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local y, x = pairwise_transform.jpeg_scale(src, 2.0, 1, 128, 7, {color_augment = true, random_half = true})
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image.display({image = y, legend = "y1:" .. (i * 10), min = 0, max = 1})
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image.display({image = x, legend = "x1:" .. (i * 10), min = 0, max = 1})
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print(y:size(), x:size())
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--print(x:mean(), y:mean())
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end
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for i = 1, 9 do
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local y, x = pairwise_transform.jpeg_scale(src, 2.0, 2, 128, 7, {color_augment = true, random_half = true})
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image.display({image = y, legend = "y2:" .. (i * 10), min = 0, max = 1})
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image.display({image = x, legend = "x2:" .. (i * 10), min = 0, max = 1})
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print(y:size(), x:size())
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--print(x:mean(), y:mean())
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end
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end
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--test_scale()
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--test_jpeg()
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--test_jpeg_scale()
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return pairwise_transform
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