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task.py
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task.py
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import collections
import subprocess
import io
import math
import os
import re
import shlex
import shutil
import tempfile
import time
import threading
import traceback
import typing
from PIL import Image
from PIL import ImageFilter
from PIL import ImageSequence
import define
import param
class AbstractTask:
def __init__(self, outputCallback: typing.Callable[[str], None]) -> None:
self.outputCallback = outputCallback
def run(self) -> None:
pass
class RESpawnTask(AbstractTask):
def __init__(
self,
outputCallback: typing.Callable[[str], None],
progressValue: list[int | float],
inputPath: str, outputPath: str,
config: param.REConfigParams,
removeInput: bool = False,
) -> None:
super().__init__(outputCallback)
self.progressValue = progressValue
self.inputPath = inputPath
self.outputPath = outputPath
self.config = config
self.removeInput = removeInput
def run(self) -> None:
self.outputCallback(f'Using executable: {define.RE_PATH}\n')
self.progressValue[0] = 0
with Image.open(self.inputPath) as img:
srcWidth, srcHeight = img.size
srcRatio = srcWidth / srcHeight
if img.mode == 'P':
self.inputPath = tempfile.mktemp('.png')
img.convert('RGBA').save(self.inputPath)
self.removeInput = True
resizeMode = self.config.resizeMode
if (
(resizeMode == param.ResizeMode.LONGEST_SIDE and srcWidth >= srcHeight)
or (resizeMode == param.ResizeMode.SHORTEST_SIDE and srcWidth <= srcHeight)
):
resizeMode = param.ResizeMode.WIDTH
elif (
(resizeMode == param.ResizeMode.LONGEST_SIDE and srcHeight >= srcWidth)
or (resizeMode == param.ResizeMode.SHORTEST_SIDE and srcHeight <= srcWidth)
):
resizeMode = param.ResizeMode.HEIGHT
match resizeMode:
case param.ResizeMode.RATIO:
dstWidth = srcWidth * self.config.resizeModeValue
dstHeight = srcHeight * self.config.resizeModeValue
case param.ResizeMode.WIDTH:
dstWidth = self.config.resizeModeValue
dstHeight = round(dstWidth / srcRatio)
case param.ResizeMode.HEIGHT:
dstHeight = self.config.resizeModeValue
dstWidth = round(dstHeight * srcRatio)
inputPathPreupscaled: str = None
if self.config.preupscale:
match resizeMode:
case param.ResizeMode.RATIO:
scaleRatio = self.config.resizeModeValue
case param.ResizeMode.WIDTH:
scaleRatio = self.config.resizeModeValue / srcWidth
case param.ResizeMode.HEIGHT:
scaleRatio = self.config.resizeModeValue / srcHeight
frac, intg = math.modf(math.log(scaleRatio, self.config.modelFactor))
preWidth = math.ceil(dstWidth / (self.config.modelFactor ** intg))
preHeight = math.ceil(dstHeight / (self.config.modelFactor ** intg))
if frac < .5 and (srcWidth != preWidth or srcHeight != preHeight):
self.outputCallback(f'Pre-upscale from {srcWidth}x{srcHeight} to {preWidth}x{preHeight}.\n')
inputPathPreupscaled = tempfile.mktemp('.webp' if os.path.splitext(self.inputPath)[1] == '.webp' else '.png')
with Image.open(self.inputPath) as img:
resized = img.resize((preWidth, preHeight), Image.LANCZOS)
resized.save(inputPathPreupscaled, lossless=True)
resized.close()
srcWidth, srcHeight = preWidth, preHeight
scalePass = 0
while srcWidth < dstWidth and srcHeight < dstHeight:
scalePass += 1
srcWidth *= self.config.modelFactor
srcHeight *= self.config.modelFactor
# input -> output
# input -> temp0 -> output
# input -> temp0 -> temp1 -> output
outputExt = os.path.splitext(self.outputPath)[1]
files = (inputPathPreupscaled or self.inputPath, *(tempfile.mktemp(outputExt) for _ in range(scalePass)))
for i in range(len(files) - 1):
inputPath, outputPath = files[i:(i + 2)]
alphaOverridePath = None
if os.path.splitext(os.path.split(define.RE_PATH)[1])[0] == 'realcugan-ncnn-vulkan':
model, modelFilename = self.config.model.split('#', 1)
denoiseLevel = {
'conservative': -1,
'no-denoise': 0,
**{f'denoise{i}x': i for i in range(1, 4)},
}[modelFilename.split('-', 1)[1]]
cmd = (
define.RE_PATH,
'-v',
'-i', inputPath,
'-o', outputPath,
'-s', str(self.config.modelFactor),
'-t', str(self.config.tileSize),
'-m', os.path.join(self.config.modelDir, model),
'-n', str(denoiseLevel),
'-g', 'auto' if self.config.gpuID < 0 else str(self.config.gpuID),
'-c', '1', # accurate sync
*(('-x', ) if self.config.useTTA else ()),
)
else:
cmd = (
define.RE_PATH,
'-v',
'-i', inputPath,
'-o', outputPath,
'-s', str(self.config.modelFactor),
*(('-z', str(self.config.modelFactor)) if os.path.splitext(os.path.split(define.RE_PATH)[1])[0] == 'upscayl-bin' else ()),
'-t', str(self.config.tileSize),
'-n', self.config.model,
'-g', 'auto' if self.config.gpuID < 0 else str(self.config.gpuID),
*(('-x', ) if self.config.useTTA else ()),
)
with subprocess.Popen(
cmd,
stderr=subprocess.PIPE,
universal_newlines=True,
encoding='utf-8' if os.path.splitext(os.path.split(define.RE_PATH)[1])[0] == 'upscayl-bin' else None,
creationflags=subprocess.CREATE_NO_WINDOW if os.name == 'nt' else 0,
) as p:
for line in p.stderr:
# 如果输入文件是有alpha通道的图片，但是输出扩展名又是JPG
# Real-ESRGAN会强行给输出的文件名加上PNG的扩展名，导致后续处理找不到文件
# 这里额外加了一个重命名为原来的输出文件名的操作
# https://github.com/xinntao/Real-ESRGAN-ncnn-vulkan/blob/37026f49824c5cf84062e7c6a5dd71445dcf610f/src/main.cpp#L283
if m := re.search(r'^image .+? has alpha channel ! .+? will output (.+?)$', line, re.M):
alphaOverridePath = m.group(1)
elif m := re.search(r'(\d+[.,]\d+)%', line):
self.progressValue[0] = (i + float(m.group(1).replace(',', '.')) / 100) / (len(files) - 1)
elif m := re.search(r'^.+? -> .+? done$', line, re.M):
self.progressValue[0] = (i + 1) / (len(files) - 1)
self.outputCallback(line)
if p.returncode:
raise subprocess.CalledProcessError(p.returncode, cmd)
if i > 0 or inputPath == inputPathPreupscaled or self.removeInput:
os.remove(inputPath)
if alphaOverridePath:
shutil.move(alphaOverridePath, outputPath)
self.outputCallback(f'Rename {alphaOverridePath} to {outputPath}\n')
os.makedirs(os.path.split(self.outputPath)[0], exist_ok=True)
if srcWidth == dstWidth and srcHeight == dstHeight:
if os.path.exists(self.outputPath):
os.remove(self.outputPath)
shutil.move(files[-1], self.outputPath)
else:
with Image.open(files[-1]) as img:
self.outputCallback(f'Downsample from {img.size[0]}x{img.size[1]} to {dstWidth}x{dstHeight}.\n')
resized = img.resize((dstWidth, dstHeight), self.config.downsample)
resized.save(self.outputPath)
resized.close()
if scalePass:
os.remove(files[-1])
self.progressValue[0] = 0
self.progressValue[1] += 1
class MergeGIFTask(AbstractTask):
def __init__(
self,
outputCallback: typing.Callable[[str], None],
outputPath: str,
frames: tuple[str, ...],
durations: tuple[int, ...],
optimizeTransparency: bool,
) -> None:
super().__init__(outputCallback)
self.outputPath = outputPath
self.frames = frames
self.durations = durations
self.optimizeTransparency = optimizeTransparency
def run(self) -> None:
self.outputCallback(f'Merging {len(self.frames)} frames to {self.outputPath}\n')
frameImgs: list[Image.Image] = []
for f in self.frames:
b = io.BytesIO()
with Image.open(f) as img:
if self.optimizeTransparency:
# LUT from Photoshop curve: (209, 182) (237, 245)
img.putalpha(img.split()[-1].filter(ImageFilter.GaussianBlur(3)).point((
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
0x01, 0x01, 0x01, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03,
0x03, 0x03, 0x03, 0x04, 0x04, 0x04, 0x04, 0x04, 0x05, 0x05, 0x05, 0x05, 0x05, 0x06, 0x06, 0x06,
0x06, 0x07, 0x07, 0x07, 0x07, 0x08, 0x08, 0x08, 0x09, 0x09, 0x09, 0x0A, 0x0A, 0x0A, 0x0B, 0x0B,
0x0C, 0x0C, 0x0C, 0x0D, 0x0D, 0x0E, 0x0E, 0x0F, 0x0F, 0x10, 0x10, 0x10, 0x11, 0x12, 0x12, 0x13,
0x13, 0x14, 0x14, 0x15, 0x15, 0x16, 0x17, 0x17, 0x18, 0x19, 0x19, 0x1A, 0x1B, 0x1B, 0x1C, 0x1D,
0x1E, 0x1E, 0x1F, 0x20, 0x21, 0x22, 0x22, 0x23, 0x24, 0x25, 0x26, 0x27, 0x28, 0x29, 0x29, 0x2A,
0x2B, 0x2C, 0x2D, 0x2E, 0x2F, 0x30, 0x32, 0x33, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39, 0x3B, 0x3C,
0x3D, 0x3E, 0x40, 0x41, 0x42, 0x43, 0x45, 0x46, 0x47, 0x49, 0x4A, 0x4C, 0x4D, 0x4F, 0x50, 0x51,
0x53, 0x55, 0x56, 0x58, 0x59, 0x5B, 0x5C, 0x5E, 0x60, 0x61, 0x63, 0x65, 0x67, 0x68, 0x6A, 0x6C,
0x6E, 0x70, 0x71, 0x73, 0x75, 0x77, 0x79, 0x7B, 0x7D, 0x7F, 0x81, 0x83, 0x85, 0x87, 0x89, 0x8C,
0x8E, 0x90, 0x92, 0x94, 0x97, 0x99, 0x9B, 0x9D, 0xA0, 0xA2, 0xA5, 0xA7, 0xA9, 0xAC, 0xAE, 0xB1,
0xB3, 0xB6, 0xB9, 0xBB, 0xBE, 0xC0, 0xC3, 0xC6, 0xC8, 0xCB, 0xCE, 0xD0, 0xD3, 0xD5, 0xD8, 0xDA,
0xDC, 0xDF, 0xE1, 0xE3, 0xE5, 0xE8, 0xEA, 0xEB, 0xED, 0xEF, 0xF1, 0xF2, 0xF4, 0xF5, 0xF6, 0xF7,
0xF8, 0xF9, 0xFA, 0xFB, 0xFB, 0xFC, 0xFC, 0xFD, 0xFD, 0xFE, 0xFE, 0xFE, 0xFE, 0xFF, 0xFF, 0xFF,
)).convert('1'))
img.save(b, 'gif')
os.remove(f)
img = Image.open(b)
if 'transparency' in img.info:
paletteMap = list(range(256))
paletteMap[0], paletteMap[img.info['transparency']] = paletteMap[img.info['transparency']], paletteMap[0]
img = img.remap_palette(paletteMap)
img.info['transparency'] = 0
frameImgs.append(img)
os.makedirs(os.path.split(self.outputPath)[0], exist_ok=True)
frameImgs[0].save(self.outputPath, save_all=True, optimize=True, loop=0, duration=self.durations, append_images=frameImgs[1:], disposal=2)
class SplitGIFTask(AbstractTask):
def __init__(
self,
outputCallback: typing.Callable[[str], None],
progressValue: list[int | float],
inputPath: str, outputPath: str,
config: param.REConfigParams,
queue: collections.deque[AbstractTask],
optimizeTransparency: bool,
) -> None:
super().__init__(outputCallback)
self.progressValue = progressValue
self.inputPath = inputPath
self.outputPath = outputPath
self.config = config
self.queue = queue
self.optimizeTransparency = optimizeTransparency
def run(self) -> None:
frames = []
durations = []
tasks = []
with Image.open(self.inputPath) as img:
for f in ImageSequence.Iterator(img):
f: Image.Image
frameSrcPath = tempfile.mktemp('.png' if self.optimizeTransparency else '.webp')
frameDstPath = tempfile.mktemp('.png' if self.optimizeTransparency else '.webp')
d = f.info.get('duration', 0)
if self.optimizeTransparency:
f = f.convert('RGBA')
with Image.new('RGBA', img.size, (255, 255, 255, 255)) as g:
g.alpha_composite(f)
g.putalpha(f.split()[-1])
g.save(frameSrcPath, lossless=True)
else:
f.save(frameSrcPath, lossless=True)
self.outputCallback(f'Frame #{len(frames)}: {frameSrcPath} -> {frameDstPath} Duration: {d}\n')
frames.append(frameDstPath)
durations.append(d)
tasks.append(RESpawnTask(self.outputCallback, self.progressValue, frameSrcPath, frameDstPath, self.config, True))
self.progressValue[2] += 1
self.progressValue[2] -= 1
if self.config.customCommand:
t = tempfile.mktemp('.gif')
tasks.append(MergeGIFTask(self.outputCallback, t, frames, durations, self.optimizeTransparency))
tasks.append(CustomCompressTask(self.outputCallback, t, self.outputPath, self.config.customCommand, True))
else:
tasks.append(MergeGIFTask(self.outputCallback, self.outputPath, frames, durations, self.optimizeTransparency))
tasks.reverse()
for t in tasks:
self.queue.appendleft(t)
class LossyCompressTask(AbstractTask):
def __init__(
self,
outputCallback: typing.Callable[[str], None],
inputPath: str, outputPath: str,
quality: int,
removeInput: bool = False,
) -> None:
super().__init__(outputCallback)
self.inputPath = inputPath
self.outputPath = outputPath
self.quality = quality
self.removeInput = removeInput
def run(self) -> None:
self.outputCallback(f'Compressing {self.inputPath} to {self.outputPath} with quality {self.quality}\n')
os.makedirs(os.path.split(self.outputPath)[0], exist_ok=True)
with Image.open(self.inputPath) as img:
match os.path.splitext(self.outputPath)[1].lower():
case '.webp':
img.save(self.outputPath, quality=self.quality, method=6)
case '.jpg' | '.jpeg':
if img.mode == 'RGBA':
img = img.convert('RGB')
self.outputCallback('Discarding alpha channel to compress the RGBA image to JPEG\n')
img.save(self.outputPath, quality=self.quality, optimize=True, progressive=True)
if self.removeInput:
os.remove(self.inputPath)
class CustomCompressTask(AbstractTask):
def __init__(
self,
outputCallback: typing.Callable[[str], None],
inputPath: str, outputPath: str,
commandTemplate: str,
removeInput: bool = False,
) -> None:
super().__init__(outputCallback)
self.inputPath = inputPath
self.outputPath = outputPath
self.commandTemplate = commandTemplate
self.removeInput = removeInput
def run(self) -> None:
cmd = []
for x in shlex.split(self.commandTemplate):
if x == '{input}':
cmd.append(self.inputPath)
elif x == '{output}':
cmd.append(self.outputPath)
elif (m := re.search(r'^{output:(.+)}$', x)):
cmd.append(f'{os.path.splitext(self.outputPath)[0]}.{m.group(1)}')
else:
cmd.append(x)
self.outputCallback(f'Compressing {self.inputPath} with command: {shlex.join(cmd)}\n')
os.makedirs(os.path.split(self.outputPath)[0], exist_ok=True)
with subprocess.Popen(
cmd,
stderr=subprocess.PIPE,
universal_newlines=True,
encoding='utf-8',
creationflags=subprocess.CREATE_NO_WINDOW if os.name == 'nt' else 0,
) as p:
for line in p.stderr:
self.outputCallback(line)
if p.returncode:
raise subprocess.CalledProcessError(p.returncode, cmd)
if self.removeInput:
os.remove(self.inputPath)
def taskRunner(
queue: collections.deque[AbstractTask],
pauseEvent: threading.Event,
outputCallback: typing.Callable[[str], None],
completeCallback: typing.Callable[[bool], None],
failCallback: typing.Callable[[Exception], None],
finallyCallback: typing.Callable[[], None],
ignoreError: bool,
) -> None:
counter = 0
withError = False
while queue:
try:
pauseEvent.wait()
ts = time.perf_counter()
queue.popleft().run()
te = time.perf_counter()
outputCallback(f'Task #{counter} completed in {round((te - ts) * 1000)}ms.\n')
counter += 1
except Exception as ex:
withError = True
outputCallback(traceback.format_exc())
failCallback(ex)
if not ignoreError:
finallyCallback()
return
completeCallback(withError)
finallyCallback()