Specifically, when I select any size larger than 2.75x, it only gives chooses 2.75x as the enlargement. However, Gigapixel simply will enlarge the 11,648 x 8,73 pixels images from my GFX 100s more than 2.75x. The module is available as open source under the terms of the Apache License, Version 2. I was surprised, because Topaz website says they can be enlarged up to 6x without any loss of quality.
print ( output_path ) Contributingīug reports and/or pull requests are welcome License image = Path ( 'path/to/image.jpg' ) output_path = app. app = Gigapixel ( exe_path, output_suffix ) # Process image. Therefore, it is a perfect one-stop solution for all your images that need just a tiny boost before you can send them to be printed. output_suffix = '-gigapixel' # Create Gigapixel instance. Topaz Labs Gigapixel was designed exactly with accurate, fast, and high-quality image enlargements in mind. pic.jpg -> pic-gigapixel.jpg) # You should set same value inside Gigapixel (File -> Preferences -> Default filename suffix). exe_path = Path ( 'C:\Program Files\Topaz Labs LLC\Topaz Gigapixel AI\Topaz Gigapixel AI.exe' ) # Output file suffix.
Install the current version with PyPI pip install -U gigapixelįrom gigapixel import Gigapixel, Scale, Mode from pathlib import Path # Path to Gigapixel executable file. Topaz Gigapixel AI v6 of newer required Installation
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