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Add the ability to restore hue and saturation from the original image. #23

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Add the ability to restore hue and saturation from the original image. #23

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717cab0
Add the ability to restore hue and saturation from the original image.
bryanvb Jul 16, 2023
550acae
Fixing an issue where copying hue or saturation from original image t…
bryanvb Jul 17, 2023
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48 changes: 42 additions & 6 deletions scripts/postprocessing_pixelization.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,8 @@
from pixelization.models.networks import define_G
import pixelization.models.c2pGen

import colorsys

pixelize_code = [
233356.8125, -27387.5918, -32866.8008, 126575.0312, -181590.0156,
-31543.1289, 50374.1289, 99631.4062, -188897.3750, 138322.7031,
Expand Down Expand Up @@ -153,17 +155,46 @@ def process(img):
return trans(img)[None, :, :, :]


def to_image(tensor, pixel_size, upscale_after):
def to_image(tensor, pixel_size, upscale_after, original_img, copy_hue, copy_sat):
img = tensor.data[0].cpu().float().numpy()
img = (np.transpose(img, (1, 2, 0)) + 1) / 2.0 * 255.0
img = img.astype(np.uint8)
img = Image.fromarray(img)
img = img.resize((img.size[0]//4, img.size[1]//4), resample=Image.Resampling.NEAREST)
width = img.size[0]//4
height = img.size[1]//4
img = img.resize((width, height), resample=Image.Resampling.NEAREST)

if copy_hue or copy_sat:
original_img = original_img.resize((width, height), resample=Image.Resampling.NEAREST)
img = color_image(img, original_img, copy_hue, copy_sat);

if upscale_after:
img = img.resize((img.size[0]*pixel_size, img.size[1]*pixel_size), resample=Image.Resampling.NEAREST)

return img

def color_image(img, original_img, copy_hue, copy_sat):
img = img.convert("RGB")
original_img = original_img.convert("RGB")

colored_img = Image.new("RGB", img.size)

print(img.width, img.height)

for x in range(img.width):
for y in range(img.height):
pixel = original_img.getpixel((x, y))
r, g, b = pixel
original_h, original_s, original_v = colorsys.rgb_to_hsv(r / 255, g / 255, b / 255)

pixel = img.getpixel((x, y))
r, g, b = pixel
h, s, v = colorsys.rgb_to_hsv(r / 255, g / 255, b / 255)

r, g, b = colorsys.hsv_to_rgb(original_h if copy_hue else h, original_s if copy_sat else s, v)
colored_img.putpixel((x, y), (int(r * 255), int(g * 255), int(b * 255)))

return colored_img

class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
name = "Pixelization"
Expand All @@ -176,17 +207,21 @@ def ui(self):
with FormRow():
enable = gr.Checkbox(False, label="Enable pixelization")
upscale_after = gr.Checkbox(False, label="Keep resolution")

with FormRow():
copy_hue = gr.Checkbox(False, label="Restore hue")
copy_sat = gr.Checkbox(False, label="Restore saturation")
with gr.Column():
pixel_size = gr.Slider(minimum=1, maximum=16, step=1, label="Pixel size", value=4, elem_id="pixelization_pixel_size")

return {
"enable": enable,
"upscale_after": upscale_after,
"pixel_size": pixel_size,
"copy_hue": copy_hue,
"copy_sat": copy_sat,
}

def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, upscale_after, pixel_size):
def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, upscale_after, pixel_size, copy_hue, copy_sat):
if not enable:
return

Expand All @@ -199,6 +234,7 @@ def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, upscale
self.model.to(devices.device)

pp.image = pp.image.resize((pp.image.width * 4 // pixel_size, pp.image.height * 4 // pixel_size))
original_img = pp.image.copy()

with torch.no_grad():
in_t = process(pp.image).to(devices.device)
Expand All @@ -209,7 +245,7 @@ def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, upscale
images = self.model.G_A_net.module.RGBDec(feature, adain_params)
out_t = self.model.alias_net(images)

pp.image = to_image(out_t, pixel_size=pixel_size, upscale_after=upscale_after)
pp.image = to_image(out_t, pixel_size=pixel_size, upscale_after=upscale_after, original_img=original_img, copy_hue=copy_hue, copy_sat=copy_sat)

self.model.to(devices.cpu)

Expand Down