mirror of https://github.com/vladmandic/automatic
119 lines
4.3 KiB
Python
119 lines
4.3 KiB
Python
import time
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from PIL import Image
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from modules.upscaler import Upscaler, UpscalerData
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from modules.shared import log
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class UpscalerDCC(Upscaler):
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def __init__(self, dirname=None): # pylint: disable=unused-argument
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super().__init__(False)
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self.name = "DCC Interpolation"
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self.vae = None
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self.scalers = [
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UpscalerData("DCC Interpolation", None, self),
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]
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def do_upscale(self, img: Image, selected_model=None):
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import math
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import numpy as np
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from modules.postprocess.dcc import DCC
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t0 = time.time()
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normalized = np.array(img).astype(np.float32) / 255.0
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scale = math.ceil(self.scale)
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upscaled = DCC(normalized, scale)
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upscaled = (upscaled - upscaled.min()) / (upscaled.max() - upscaled.min())
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upscaled = (255.0 * upscaled).astype(np.uint8)
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upscaled = Image.fromarray(upscaled)
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t1 = time.time()
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log.debug(f"Upscale: name=DCC input={img.size} output={upscaled.size} time={t1 - t0:.2f}")
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return upscaled
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class UpscalerVIPS(Upscaler):
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def __init__(self, dirname=None): # pylint: disable=unused-argument
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super().__init__(False)
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self.name = "VIPS"
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self.scalers = [
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UpscalerData("VIPS Lanczos 2", None, self),
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UpscalerData("VIPS Lanczos 3", None, self),
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UpscalerData("VIPS Mitchell", None, self),
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UpscalerData("VIPS MagicKernelSharp 2013", None, self),
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UpscalerData("VIPS MagicKernelSharp 2021", None, self),
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]
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def do_upscale(self, img: Image, selected_model=None):
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if selected_model is None:
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return img
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from installer import install
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install('pyvips')
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try:
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import pyvips
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except Exception as e:
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log.error(f"Upscaler: vips {e}")
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return img
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t0 = time.time()
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vips_image = pyvips.Image.new_from_array(img)
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try:
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if selected_model is None:
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return img
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elif selected_model == "VIPS Lanczos 2":
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vips_image = vips_image.resize(2, kernel='lanczos2')
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elif selected_model == "VIPS Lanczos 3":
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vips_image = vips_image.resize(2, kernel='lanczos3')
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elif selected_model == "VIPS Mitchell":
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vips_image = vips_image.resize(2, kernel='mitchell')
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elif selected_model == "VIPS MagicKernelSharp 2013":
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vips_image = vips_image.resize(2, kernel='mks2013')
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elif selected_model == "VIPS MagicKernelSharp 2021":
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vips_image = vips_image.resize(2, kernel='mks2021')
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else:
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return img
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except Exception as e:
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log.error(f"Upscaler: vips {e}")
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return img
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upscaled = Image.fromarray(vips_image.numpy())
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t1 = time.time()
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log.debug(f"Upscale: name=VIPS input={img.size} output={upscaled.size} time={t1 - t0:.2f}")
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return upscaled
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class UpscalerHQX(Upscaler):
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def __init__(self, dirname=None): # pylint: disable=unused-argument
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super().__init__(False)
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self.name = "HQX"
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self.scalers = [
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UpscalerData("HQX Interpolation", None, self),
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]
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def do_upscale(self, img: Image, selected_model=None):
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import numpy as np
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from modules.postprocess.hqx import hqx
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t0 = time.time()
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np_img = np.array(img).astype(np.uint32)
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upscaled = hqx(np_img, 2)
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upscaled = (upscaled).astype(np.uint8)
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upscaled = Image.fromarray(upscaled)
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t1 = time.time()
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log.debug(f"Upscale: name=HQX input={img.size} output={upscaled.size} time={t1 - t0:.2f}")
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return upscaled
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class UpscalerICBI(Upscaler):
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def __init__(self, dirname=None): # pylint: disable=unused-argument
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super().__init__(False)
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self.name = "ICB"
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self.scalers = [
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UpscalerData("ICB Interpolation", None, self),
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]
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def do_upscale(self, img: Image, selected_model=None):
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import numpy as np
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from modules.postprocess.icbi import icbi
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t0 = time.time()
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np_img = np.array(img)
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upscaled = icbi(np_img)
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upscaled = Image.fromarray(upscaled)
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t1 = time.time()
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log.debug(f"Upscale: name=ICB input={img.size} output={upscaled.size} time={t1 - t0:.2f}")
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return upscaled
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