Skip to main content

Topaz Gigapixel AI automation tool

Project description


Gigapixel
Gigapixel

Topaz Gigapixel AI automation tool

PyPI Python 3 Tests

RequirementsInstallationUsageContributingLicense

Requirements

Tested on Topaz Gigapixel AI v7.2.3

Installation

Install the latest version with PyPI

pip install -U gigapixel

Usage

from gigapixel import Gigapixel

gp = Gigapixel(r"C:\Program Files\Topaz Labs LLC\Topaz Gigapixel AI\Topaz Gigapixel AI.exe")

gp.process(r"path\to\image.jpg")

Additional parameters can be passed to process() method:

from gigapixel import Scale, Mode

gp.process(
  r"path\to\image.jpg",
  scale=Scale.X2,
  mode=Mode.STANDARD,
)

Warning! Using parameters (scale, mode) may take additional time to process single image. Consider using them only when needed. To get the best performance, use gp.process(r"path\to\image.jpg")

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gigapixel-1.5.0.tar.gz (9.2 kB view details)

Uploaded Source

Built Distribution

gigapixel-1.5.0-py3-none-any.whl (9.6 kB view details)

Uploaded Python 3

File details

Details for the file gigapixel-1.5.0.tar.gz.

File metadata

  • Download URL: gigapixel-1.5.0.tar.gz
  • Upload date:
  • Size: 9.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for gigapixel-1.5.0.tar.gz
Algorithm Hash digest
SHA256 22ae11811303500cf7edc0018e6ada4937e4abd7d123c561a9e8d590632e2988
MD5 97139e4920d030835e6bff0d2e59e125
BLAKE2b-256 3c9fcd15f24cf786348d3d130f8cbc8970118d55d0482f2e9fd98abaeae2bb80

See more details on using hashes here.

File details

Details for the file gigapixel-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: gigapixel-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for gigapixel-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1d18ff5046ae4edd9700ea8a794b800cec739d1a40478f6eccf9e44747085f53
MD5 b0cd4f0cc40ee7923fa02ccf20add710
BLAKE2b-256 f7ebcad10cf8f224c83ab6e599cbc7fcc47c40fa4894de0680f5de256b9cc2fc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page