Topaz Gigapixel AI automation tool
Project description
Gigapixel
Topaz Gigapixel AI automation tool
Requirements • Installation • Usage • Contributing • License
Requirements
Topaz Gigapixel AI v6 of newer required
Installation
Install the current version with PyPI
pip install -U gigapixel
Usage
- Create
Gigapixel
instance - Use
.process()
method to enhance image
from gigapixel import Gigapixel, Scale, Mode
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, scale=Scale.X2, mode=Mode.STANDARD)
# Print output path.
print(output_path)
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gigapixel-1.0.2.tar.gz
(8.5 kB
view hashes)
Built Distribution
Close
Hashes for gigapixel-1.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a751f130afd657d77af4830ceeb73131e3b212f60d4a04bbaa2a27ef8f58833 |
|
MD5 | 5faf135f1068e5764d8041a072f9e0ec |
|
BLAKE2b-256 | 24647275e962110ee88d78d08f7a95541081fa8a6da49e722d48fb3142fba107 |