IQM-Vis 1.0.1

Extendable user interface for the assessment of transformations on image metrics.

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Documentation
Installation
Tutorials
Demos
Tests

IQM-Vis

Image Quality Metric Visualision. An extendable user interface for the assessment of transformations on image metrics.

Head over to the DOCUMENTATION for tutorials and package reference. Read our PAPER for in depth details of the software.

IQM's average sensitivity to tranforms

IQM's sensitivity to tranforms specific parameters

IQM's correlation to human scores

Documentation

Please refer to our website for a full guide on installing and using IQM-Vis. However, we provide some brief instruction below.

Installation

It is important to run IQM-Vis in a fresh python virtual environment. This is so that there will be no dependancy clashes with the required libraries. Python version 3.9 is recommended, but newer versions should work as well.

You can make a new environment by using anaconda (conda):

    conda create -n IQM_Vis python=3.9 -y
    conda activate IQM_Vis

If you have a GPU and would like to use CUDA then at this point head over to the pytorch website and download the relevent packages e.g.

If you don't have a GPU then you can skip this step.

    conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia

Now we can install IQM-Vis from the PyPi index:

    pip install IQM-Vis

Testing the installation

Run a demonstration example by running the python code:

    import IQM_Vis
    IQM_Vis.make_UI()

Tutorials

Head over to our tutorials page for details on how get started with using and customising IQM-Vis.