Library for melody analysis based on pitch context vectors.
Project description
component-id: pitchcontext name: pitchcontext description: Python module for melody analysis based on pitch context vectors. type: Library release-date: 2023-03-15 release-number: 0.1.4 work-package: WP3 pilot: TUNES keywords:
- melody
- pitch analysis changelog: licence: release link:
pitchcontext
Python module for melody analysis based on pitch context vectors.
Prerequisites:
- lilypond installed and in command line path
- convert (ImageMagick) installed and in command line path
- kernfiles and corresponding .json files with melodic features
Installation
The latest release of the pitchcontext module can be installed from pypi:
$ pip install pitchcontext
The development version can be installed by cloning the repository and by using the provided pyproject.toml and poetry. In root of the rep do:
$ poetry install
This creates a virtual environment with pitchcontext installed.
Examples
Requires a Python3 environment with both pitchcontext and streamlit installed. Two examples are provided:
- apps/st_dissonance.py
- apps/st_novelty.py
To run:
$ streamlit run st_dissonance.py -- -krnpath <path_to_kern_files> -jsonpath <path_to_json_files>
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pitchcontext-0.1.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3a30fe76f0e46caad3eb8aa9f9ed1617e47be61affcc181fda371e022f93e62b |
|
MD5 | feb1aca15d436e1b9256eb603dfd4c5e |
|
BLAKE2b-256 | 22c00b13f8aee239d4825841aed19cc12c0b02dc9ed09189aa3607e8d6af3d8a |