def main():
signal.signal(signal.SIGINT, signal_handler)
console = Console()
global gruvbox_factory
gruvbox_factory = GoNord()
gruvbox_factory.reset_palette()
add_gruvbox_palette()
console.print(
Panel('🏭 [bold green] Gruvbox Factory [/] 🏭',
expand=False,
border_style='yellow'))
console.print(
'⚠️ WARNING ⚠️\n[italic]make sure you\'re in the same directory of the image you want to convert [/]\n'
)
image_file = console.input(
'🖼️ [bold yellow]Which image do you want to manufacture?[/] ')
try:
image = gruvbox_factory.open_image(image_file)
except:
console.print(
'❌ [red]We had a problem in the pipeline! Make sure you\'re in the same path of the image you want to convert! [/]'
)
sys.exit(0)
console.print('🔨 [yellow]manufacturing your gruvbox wallpaper...[/]')
gruvbox_factory.convert_image(image, save_path=('gruvbox_' + image_file))
console.print('✅ [bold green]Done![/] [green](saved as gruvbox_' +
image_file + ')[/]')
def setup_instance(req):
go_nord = GoNord()
hex_colors = []
if req.form.get('colors'):
hex_colors = req.form.get('colors').split(',')
if len(hex_colors) > 0:
go_nord.reset_palette()
for hex_color in hex_colors:
go_nord.add_color_to_palette(hex_color)
if req.form.get('is_avg'):
go_nord.enable_avg_algorithm()
if req.form.get('avg_box_width') and req.form.get('avg_box_height'):
go_nord.set_avg_box_data(int(req.form.get('avg_box_width')), int(req.form.get('avg_box_height')))
if req.form.get('blur'):
go_nord.enable_gaussian_blur()
return go_nord
def main():
signal.signal(signal.SIGINT, signal_handler)
console = Console()
gruvbox_factory = GoNord()
gruvbox_factory.reset_palette()
add_gruvbox_palette(gruvbox_factory)
# Checks if there's an argument
if len(sys.argv) > 1:
image_paths = fromCommandArgument(console)
else:
image_paths = fromTui(console)
for image_path in image_paths:
if os.path.isfile(image_path):
process_image(image_path, console, gruvbox_factory)
else:
console.print(
f"❌ [red]We had a problem in the pipeline! \nThe image at '{image_path}' could not be found! \nSkipping... [/]"
)
continue
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")
#!/usr/bin/env python
import argparse
from ImageGoNord import GoNord
parser = argparse.ArgumentParser(
description='convert image palette to specified palette')
parser.add_argument('colorscheme', type=str, help='name of the colorscheme')
parser.add_argument('image', type=str, help='path to the image')
args = parser.parse_args()
path = "/home/samy/.config/colorschemes/" + args.colorscheme
with open(path, 'r') as f:
lines = f.readlines()
colors = [line.split()[2] for line in lines]
go_nord = GoNord()
go_nord.reset_palette()
for color in colors:
go_nord.add_color_to_palette(color)
print(args.image)
image = go_nord.open_image(args.image)
go_nord.convert_image(image, save_path='/home/samy/Wallpapers/wall.png')