202 lines
6 KiB
Lua
202 lines
6 KiB
Lua
local ROOT = '/home/nagadomi/dev/waifu2x'
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_G.TURBO_SSL = true -- Enable SSL
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local turbo = require 'turbo'
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local uuid = require 'uuid'
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local ffi = require 'ffi'
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local md5 = require 'md5'
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require 'torch'
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require 'cudnn'
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require 'pl'
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torch.setdefaulttensortype('torch.FloatTensor')
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torch.setnumthreads(4)
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package.path = package.path .. ";" .. path.join(ROOT, 'lib', '?.lua')
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require 'LeakyReLU'
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local iproc = require 'iproc'
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local reconstract = require 'reconstract'
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local image_loader = require 'image_loader'
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local noise1_model = torch.load(path.join(ROOT, "models", "noise1_model.t7"), "ascii")
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local noise2_model = torch.load(path.join(ROOT, "models", "noise2_model.t7"), "ascii")
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local scale20_model = torch.load(path.join(ROOT, "models", "scale2.0x_model.t7"), "ascii")
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local USE_CACHE = true
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local CACHE_DIR = path.join(ROOT, "cache")
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local MAX_NOISE_IMAGE = 2560 * 2560
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local MAX_SCALE_IMAGE = 1280 * 1280
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local CURL_OPTIONS = {
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request_timeout = 10,
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connect_timeout = 5,
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allow_redirects = true,
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max_redirects = 1
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}
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local CURL_MAX_SIZE = 2 * 1024 * 1024
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local BLOCK_OFFSET = 7 -- see srcnn.lua
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local function valid_size(x, scale)
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if scale == 0 then
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return x:size(2) * x:size(3) <= MAX_NOISE_IMAGE
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else
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return x:size(2) * x:size(3) <= MAX_SCALE_IMAGE
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end
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end
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local function get_image(req)
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local file = req:get_argument("file", "")
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local url = req:get_argument("url", "")
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local blob = nil
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local img = nil
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if file and file:len() > 0 then
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blob = file
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img = image_loader.decode_float(blob)
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elseif url and url:len() > 0 then
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local res = coroutine.yield(
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turbo.async.HTTPClient({verify_ca=false},
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nil,
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CURL_MAX_SIZE):fetch(url, CURL_OPTIONS)
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)
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if res.code == 200 then
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local content_type = res.headers:get("Content-Type", true)
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if type(content_type) == "table" then
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content_type = content_type[1]
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end
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if content_type and content_type:find("image") then
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blob = res.body
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img = image_loader.decode_float(blob)
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end
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end
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end
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return img, blob
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end
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local function apply_denoise1(x)
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return reconstract(noise1_model, x, BLOCK_OFFSET)
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end
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local function apply_denoise2(x)
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return reconstract(noise2_model, x, BLOCK_OFFSET)
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end
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local function apply_scale2x(x)
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return reconstract(scale20_model,
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iproc.scale(x, x:size(3) * 2.0, x:size(2) * 2.0),
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BLOCK_OFFSET)
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end
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local function cache_do(cache, x, func)
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if path.exists(cache) then
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return image.load(cache)
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else
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x = func(x)
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image.save(cache, x)
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return x
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end
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end
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local function client_disconnected(handler)
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return not(handler.request and
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handler.request.connection and
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handler.request.connection.stream and
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(not handler.request.connection.stream:closed()))
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end
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local APIHandler = class("APIHandler", turbo.web.RequestHandler)
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function APIHandler:post()
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if client_disconnected(self) then
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self:set_status(400)
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self:write("client disconnected")
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return
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end
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local x, src = get_image(self)
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local scale = tonumber(self:get_argument("scale", "0"))
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local noise = tonumber(self:get_argument("noise", "0"))
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if x and valid_size(x, scale) then
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if USE_CACHE and (noise ~= 0 or scale ~= 0) then
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local hash = md5.sumhexa(src)
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local cache_noise1 = path.join(CACHE_DIR, hash .. "_noise1.png")
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local cache_noise2 = path.join(CACHE_DIR, hash .. "_noise2.png")
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local cache_scale = path.join(CACHE_DIR, hash .. "_scale.png")
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local cache_noise1_scale = path.join(CACHE_DIR, hash .. "_noise1_scale.png")
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local cache_noise2_scale = path.join(CACHE_DIR, hash .. "_noise2_scale.png")
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if noise == 1 then
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x = cache_do(cache_noise1, x, apply_denoise1)
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elseif noise == 2 then
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x = cache_do(cache_noise2, x, apply_denoise2)
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end
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if scale == 1 or scale == 2 then
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if noise == 1 then
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x = cache_do(cache_noise1_scale, x, apply_scale2x)
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elseif noise == 2 then
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x = cache_do(cache_noise2_scale, x, apply_scale2x)
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else
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x = cache_do(cache_scale, x, apply_scale2x)
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end
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if scale == 1 then
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x = iproc.scale(x,
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math.floor(x:size(3) * (1.6 / 2.0) + 0.5),
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math.floor(x:size(2) * (1.6 / 2.0) + 0.5),
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"Jinc")
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end
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end
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elseif noise ~= 0 or scale ~= 0 then
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if noise == 1 then
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x = apply_denose1(x)
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elseif noise == 2 then
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x = apply_denose2(x)
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end
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if scale == 1 then
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local x16 = {math.floor(x:size(3) * 1.6 + 0.5), math.floor(x:size(2) * 1.6 + 0.5)}
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x = apply_scale2x(x)
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x = iproc.scale(x, x16[1], x16[2], "Jinc")
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elseif scale == 2 then
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x = apply_scale2x(x)
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end
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end
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local name = uuid() .. ".png"
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local blob, len = image_loader.encode_png(x)
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self:set_header("Content-Disposition", string.format('filename="%s"', name))
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self:set_header("Content-Type", "image/png")
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self:set_header("Content-Length", string.format("%d", len))
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self:write(ffi.string(blob, len))
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else
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if not x then
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self:set_status(400)
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self:write("ERROR: unsupported image format.")
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else
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self:set_status(400)
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self:write("ERROR: max image size exceeded.")
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end
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end
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end
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local FormHandler = class("FormHandler", turbo.web.RequestHandler)
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function FormHandler:get()
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local lang = self.request.headers:get("Accept-Language")
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if lang then
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local langs = utils.split(lang, ",")
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for i = 1, #langs do
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langs[i] = utils.split(langs[i], ";")[1]
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end
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if langs[1] == "ja" then
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self:write(file.read(path.join(ROOT, "assets/index.ja.html")))
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else
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self:write(file.read(path.join(ROOT, "assets/index.html")))
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end
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else
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self:write(file.read(path.join(ROOT, "assets/index.html")))
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end
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end
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local app = turbo.web.Application:new(
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{
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{"^/$", FormHandler},
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{"^/index.html", turbo.web.StaticFileHandler, path.join(ROOT, "assets", "index.html")},
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{"^/index.ja.html", turbo.web.StaticFileHandler, path.join(ROOT, "assets", "index.ja.html")},
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{"^/api$", APIHandler},
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}
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)
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app:listen(8888, "0.0.0.0", {max_body_size = CURL_MAX_SIZE})
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turbo.ioloop.instance():start()
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