Welcome to QPrism’s documentation!

QPrism is a Python library that can thoroughly assess the quality of video, audio, and sensor data. It provides user the flexibility to compute any supported metrics that are relevant to their research, and the genrality that the library applies to any data converted to the specified structure. To be filled in, current statement of need is a bit subjective and need modification in my opinion.

Check out the Usage section for further information, including how to Installation the project.

Note

This project is under active development.

Contents

Usage

Installation

To use Lumache, first install it using pip:

(.venv) $ pip install lumache

Creating recipes

To retrieve a list of random ingredients, you can use the lumache.get_random_ingredients() function:

The kind parameter should be either "meat", "fish", or "veggies". Otherwise, lumache.get_random_ingredients() will raise an exception.

For example:

>>> import lumache
>>> lumache.get_random_ingredients()
['shells', 'gorgonzola', 'parsley']

API

Glossary

Video Module

word: explanation explanation
word: explanation explanation

Audio Module

word: explanation

Sensor Module

word

Acknowledgements

Fill in the acknowledgements

Contribution

Fill in how the community can contribute to the project, how to report an issue, etc

License

To be done - Apply the OSI