vc2-quantisation-matrices 1.0.0

Routines for computing quantisation matrices for the SMPTE ST 2042-2 VC-2 professional video codec.

SMPTE ST 2042-1 (VC-2) Quantisation Matrix Computation Routines

This Python package, vc2_quantisation_matrices, provides both a standalone software tool and Python module for computing 'default' quantisation matrices for the SMPTE ST 2042-1:2017 VC-2 professional video codec. Specifically, this software implements the procedure from section (D.3.2) of the standard for computing quantisation matrices which achieve noise-power normalisation.

This software is provided both as an informal reference and also as a tool for computing quantisation matrices for wavelet transform and depth combinations for which no default matrix is provided.

For further information, please conatact Jonathan Heathcote or John Fletcher.

Installation

You can install the vc2_quantisation_matrices Python module from PyPI using:

$ pip install vc2_quantisation_matrices

Alternatively you can install it from a copy of this repository using:

$ python setup.py install

Documentation

You can read the vc2_quantisation_matrices manual online here (also available in PDF format). This includes both instruction on the use of this software as well as a more thorough overview of the process it implements.

Running the Tests

To run the test suite, first install the test suite dependencies using:

$ pip install -r requirements-test.txt

Then run the tests:

$ pytest tests/

Building the Documentation

To build the documentation, first install the build dependencies:

$ pip install -r requirements-doc.txt

Then build the documentation:

$ cd docs
$ make html  # or make latexpdf 

The built documentation can then be found in docs/build/.

License

This software is distributed under the GNU General Public License version 3, © BBC 2021.