gigapixel 1.4.1

Topaz Gigapixel AI automation tool

Gigapixel

Topaz Gigapixel AI automation tool

Requirements • Installation • Usage • Contributing • License

Requirements

Topaz Gigapixel AI v6.1.0 or newer required

Installation

Install the current version with PyPI

pip install -U gigapixel

Usage

1. Create Gigapixel instance
2. Use .process() method to enhance image

from gigapixel import Gigapixel, Scale, Mode, OutputFormat
from pathlib import Path

# Path to Gigapixel executable file.
exe_path = Path('C:\Program Files\Topaz Labs LLC\Topaz Gigapixel AI\Topaz Gigapixel AI.exe')

# Output file suffix. (e.g. pic.jpg -> pic-gigapixel.jpg)
# You should set same value inside Gigapixel (File -> Preferences -> Default filename suffix).
output_suffix = '-gigapixel'

# Create Gigapixel instance.
app = Gigapixel(exe_path, output_suffix)

# Process image.
image = Path('path/to/image.jpg')
output_path = app.process(image)

# Print output path.
print(output_path)

Additional parameters can be passed to process() method (Takes additional time):

from gigapixel import Scale, Mode, OutputFormat

output_path = app.process(image, scale=Scale.X2, mode=Mode.STANDARD, delete_from_history=True, output_format=OutputFormat.PNG)

Warning! Using parameters (scale, mode, output_format, delete_from_history) will take additional time to process single image. Consider using them only when needed. To get the best performance, use app.process(image)

Contributing

Bug reports and/or pull requests are welcome

License

The module is available as open source under the terms of the Apache License, Version 2.0