iq

image-quality

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

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7mos ago

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3

Package

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10

License

Apache 2.0

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.. -- mode: rst --

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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 <https://www.tensorflow.org/datasets/add_dataset#1_adjust_the_checksums_directory>_.

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.

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Maintainer

  • Ricardo Ocampo <https://ocampor.com>_

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