Interactive tool for assessing digital image similarity
Project description
Computer Image Likeness Assessing Automation
Overview
CILISSA allows for the use of various metrics to perform full-reference image comparisons.
It features the most popular full-reference image quality metrics, image transformations and translations. CILISSA is also very extensible and new operations can be easily added.
CILISSA has an optional Qt-based graphical interface that lets you experiment with various operations, their orders and properties.
Requirements
- Python >=3.9,<3.12
Installation
Install from PyPI
$ pip install cilissa
Releases
Binaries for Windows and Linux can be found on GitHub releases.
Usage
GUI
Information about the GUI can be found in the cilissa_gui/README.md file.
CLI
Currently the CLI only supports working with a single pair of images.
The parameters of metrics and transformations can be modified by passing them to the --kwargs argument using the following format:
<operation-name>-<parameter-name>=<value>
where parameter-name uses hyphens (-) instead of underscores (_)
Documentation
Documentation is hosted on Read the Docs.
License
CILISSA is under the terms of the MIT License, following all clarifications stated in the license file.
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