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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 Journal PAPER for in depth details of the software.

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

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 3.9+ is supported, including 3.13.

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

Note: The above is an example command. Check pytorch.org for the current recommended install command for your CUDA version.

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

    pip install IQM-Vis

Run a demonstration example by running the python code:

    import IQM_Vis
    IQM_Vis.make_UI()

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