Description:

imagequality 1.2.7

Image Quality

Description
Image quality is an open source software library for Automatic Image
Quality Assessment (IQA).


Dependencies

Python 3.8
(Development) Docker



Installation
The package is public and is hosted in PyPi repository. To install it in
your machine run
pip install image-quality


Example
After installing image-quality package, you can test that it was
successfully installed running the following commands in a python
terminal.
>>> import imquality.brisque as brisque
>>> import PIL.Image

>>> path = 'path/to/image'
>>> img = PIL.Image.open(path)
>>> brisque.score(img)
4.9541572815704455


Development
In case of adding a new tensorflow dataset or modifying the location of a zip file, it is
necessary to update the url checksums. You can find the instructions in the following
tensorflow documentation.
The steps to create the url checksums are the following:
1. Take the file with the dataset configuration (e.g. live_iqa.py) an place it in the tensorflow_datasets
folder. The folder is commonly placed in ${HOME}/.local/lib/python3.8/site-packages if you
install the python packages using the user flag.
2. Modify the __init__.py of the tensorflow_datasets to import your new dataset.
For example from .image.live_iqa import LiveIQA at the top of the file.
3. In your terminal run the commands:
touch url_checksums/live_iqa.txt
python -m tensorflow_datasets.scripts.download_and_prepare \
--register_checksums \
--datasets=live_iqa
4. The file live_iqa.txt is going to contain the checksum. Now you can copy and paste it to your
project’s url_checksums folder.


Sponsor



Maintainer

Ricardo Ocampo

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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