iquaflow 1.0.1

Image quality framework

An image quality framework

iquaflow is an image quality framework that aims at providing a set of tools to assess image quality. One of the main contributions of this framework is that it allows to measure quality by using the performance of AI models trained on the images as a proxy. The framework includes ready-to-use metrics such as SNR, MTF, FWHM or RER. It also includes modifiers to alter images (noise, blur, jpeg compression, quantization, etc). In both cases, metrics and modifiers, it is easy to implement new ones. Adittionaly, we include dataset preparation and sanity check tools and all the necessary tools to carry new experiments.

Usage examples and a detailed description of our framwework can be found within our documentation on Read the Docs.

Use cases

Cookiecutter use case

Mnist use case

Single image super-resolution use case

Multi-frame super-resolution use case

Oriented-object detection with compression use case

Object detection with compression use case

Airplane detection use case

Installation

You can install iquaflow using pip:

pip install iquaflow 

Read more complete installation instructions at our documentation.

iquaflow is a pure Python library, and therefore should work on Linux, OS X and Windows provided that you can install its dependencies. If you find any problem, please open an issue and we will take care of it.

Support

For any questions or suggestions you can use the issues section or reach us at [e-mail].