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
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
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 iquaflow@satellogic.com.
