def main():
dirOld = "/home/mir/Pictures/wallhaven/"
dirNew = "/home/mir/Pictures/newWall/"
for root, dirs, files in os.walk(dirOld):
for file in files:
imagePath = dirOld + file
name = file.split(".", 1)
oName = name[0] + "-Nord." + name[1]
savePath = dirNew + oName
# E.g. Replace pixel by pixel
go_nord = GoNord()
image = go_nord.open_image(imagePath)
go_nord.convert_image(image, save_path=savePath)
# E.g. Avg algorithm and less colors
go_nord.enable_avg_algorithm()
go_nord.reset_palette()
go_nord.add_file_to_palette(NordPaletteFile.POLAR_NIGHT)
go_nord.add_file_to_palette(NordPaletteFile.SNOW_STORM)
# You can add color also by their hex code
go_nord.add_color_to_palette("#FF0000")
image = go_nord.open_image(imagePath)
go_nord.convert_image(image, save_path=savePath)
# E.g. Resized img no Avg algorithm and less colors
go_nord.disable_avg_algorithm()
go_nord.reset_palette()
go_nord.add_file_to_palette(NordPaletteFile.POLAR_NIGHT)
go_nord.add_file_to_palette(NordPaletteFile.SNOW_STORM)
image = go_nord.open_image(imagePath)
resized_img = go_nord.resize_image(image)
go_nord.convert_image(resized_img, save_path=savePath)
# E.g. Quantize
image = go_nord.open_image(imagePath)
go_nord.reset_palette()
go_nord.set_default_nord_palette()
quantize_image = go_nord.quantize_image(image, save_path=savePath)
# To base64
go_nord.image_to_base64(quantize_image, "jpeg")
def main():
parser = argparse.ArgumentParser()
parser.add_argument('input', help='File to generate image from.')
parser.add_argument(
'-s',
'--show',
help='Show image using xdg-open when image is generated.',
action='store_true')
parser.add_argument('-b',
'--blur',
help='Blur the image',
action='store_true')
parser.add_argument(
'--no_quantize',
help=
'Do not quantize the image before processing (may make the image look better)',
action='store_true')
args = parser.parse_args()
sInputImage = args.input
sOutputPath = './nordified/' + path.splitext(
path.basename(sInputImage))[0] + '-nordified.jpg'
print(f"Writing nordified version to {sOutputPath}..")
go_nord = GoNord()
image = go_nord.open_image(sInputImage)
if args.blur:
image = image.filter(ImageFilter.GaussianBlur(5))
go_nord.set_default_nord_palette()
#go_nord.disable_avg_algorithm()
image = go_nord.quantize_image(image, save_path=sOutputPath)
#go_nord.convert_image(image, save_path=sOutputPath)
# To base64
#go_nord.image_to_base64(image, 'jpeg')
print("Done.")
if args.show:
run('xdg-open {}'.format(sOutputPath), shell=True)
from ImageGoNord import NordPaletteFile, GoNord
go_nord = GoNord()
"""image = go_nord.open_image("images/test-profile.jpg")
go_nord.convert_image(image, save_path='images/test.processed.jpg') """
# E.g. Avg algorithm and less colors
go_nord.enable_avg_algorithm()
go_nord.reset_palette()
# go_nord.add_file_to_palette(NordPaletteFile.POLAR_NIGHT)
# go_nord.add_file_to_palette(NordPaletteFile.SNOW_STORM)
# go_nord.add_color_to_palette('#FF0000')
go_nord.set_default_nord_palette()
image = go_nord.open_image("images/test.jpg")
go_nord.convert_image(image, save_path='images/test.avg.jpg')
# E.g. Resized img no Avg algorithm and less colors
go_nord.disable_avg_algorithm()
go_nord.reset_palette()
go_nord.add_file_to_palette(NordPaletteFile.POLAR_NIGHT)
go_nord.add_file_to_palette(NordPaletteFile.SNOW_STORM)
image = go_nord.open_image("images/test.jpg")
resized_img = go_nord.resize_image(image)
go_nord.convert_image(resized_img, save_path='images/test.resized.jpg')
# E.g. Quantize
image = go_nord.open_image("images/test.jpg")
go_nord.reset_palette()