def main():
if len(sys.argv) < 3:
raise RuntimeError(
'Command Line Argument Must be (sketch file, style file)')
style_f = './data/styles/%s' % sys.argv[2]
test_f = './data/test/%s' % sys.argv[1]
filename = sys.argv[1][:-4] + sys.argv[2][:-4] + '.png'
style = Image.open(style_f).convert('RGB')
style = transforms.Resize((512, 512))(style)
style_pil = style
test = Image.open(test_f).convert('RGB')
test_pil = transforms.Resize((512, 512))(test)
transform = transforms.Compose(
[transforms.Resize((512, 512)),
transforms.ToTensor()])
test = transform(test)
test = scale(test)
test = test.unsqueeze(0).to(device)
to_pil = transforms.ToPILImage()
try:
images = list(crop_region(style))
result = {}
for i, img in enumerate(images, 1):
colors = cgm.extract(img, topk + 1)
result[str(i)] = {
'%d' % i: get_rgb(colors[i])
for i in range(1, topk + 1)
}
color_tensor = make_colorgram_tensor(result)
color_tensor = color_tensor.unsqueeze(0).to(device)
fakeB, _ = model(test, color_tensor)
fakeB = fakeB.squeeze(0)
fakeB = re_scale(fakeB.detach().cpu())
fakeB = to_pil(fakeB)
result_image = Image.new('RGB', (512 * 3, 512))
result_image.paste(test_pil, (512 * 0, 0, 512 * 1, 512))
result_image.paste(style_pil, (512 * 1, 0, 512 * 2, 512))
result_image.paste(fakeB, (512 * 2, 0, 512 * 3, 512))
save_image(result_image, os.path.join(out_root, filename))
except IndexError:
exit(1)
def extract_color_histogram(image, topk=4):
"""
get image
extract top-k colors except background color
return (1, 3 * k, image.shape) tensor
"""
width, height = image.size
colors = colorgram.extract(image, topk + 1)
tensor = torch.ones([topk * 3, width, height])
for i, color in enumerate(colors[1:]):
red = i * 3
green = i * 3 + 1
blue = i * 3 + 2
tensor[red] *= color.rgb.r
tensor[green] *= color.rgb.g
tensor[blue] *= color.rgb.b
return scale(tensor / 255.)
def get_image_with_palette(infile: str,
outline_width: float,
palette_length_div: float,
outline_color,
num_colors: int = 12):
colors = colorgram.extract(infile, 12)
original_image: Image = Image.open(infile)
width, height = original_image.size
palette_height: int = int(height / palette_length_div)
final_image: Image = Image.new(original_image.mode,
(width, height + palette_height))
palette: Image = Image.new(original_image.mode,
(width, palette_height))
draw_api: ImageDraw = ImageDraw.Draw(palette)
pos_x: float = 0
pos_x2: float = 0
swatch_size: float = width / num_colors
swatch_size2: int = 100
for col in colors:
draw_api.rectangle([pos_x, 0, pos_x + swatch_size, palette_height],
fill=col.rgb,
width=outline_width,
outline=outline_color)
pos_x = pos_x + swatch_size
pos_x2 = pos_x2 + swatch_size2
del draw_api
box: Tuple[int, float, float,
float] = (0, height, width, height + palette_height)
final_image.paste(original_image)
final_image.paste(palette, box)
file_name = f"{str(uuid.uuid4())}.jpg"
file_path = os.path.join(os.path.dirname(__file__), file_name)
final_image.save(file_path, 'jpeg', quality=100, optimize=True)
return file_path