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Merge
author Chris Cannam
date Tue, 12 Feb 2019 11:27:14 +0000
parents 28d22109991c
children 24d1c698b548
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108:efff8e5d90a3 109:471142e74a1a
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9 Vamp is an audio analysis and feature extraction plugin system 9 Vamp is an audio analysis and feature extraction plugin system
10 with a C/C++ Application Programming Interface (API). 10 with a C/C++ Application Programming Interface (API).
11 11
12 Typical applications of Vamp plugins include visualisation, using 12 Typical applications of Vamp plugins include visualisation, using
13 a host such as Sonic Visualiser (http://www.sonicvisualiser.org/), 13 a host such as Sonic Visualiser (https://www.sonicvisualiser.org/),
14 or batch feature extraction from audio, using Sonic Annotator 14 or batch feature extraction from audio, using Sonic Annotator
15 (http://www.omras2.org/SonicAnnotator). 15 (https://vamp-plugins.org/sonic-annotator).
16 16
17 Vamp plugins are typically written in C++. Although currently 17 Vamp plugins are typically written in C++. Although currently
18 available plugin hosts are valuable tools in audio research, 18 available plugin hosts are valuable tools in audio research,
19 the long and tedious development cycle of plugins does not 19 the long and tedious development cycle of plugins does not
20 support quick prototyping of feature extraction algorithms. 20 support quick prototyping of feature extraction algorithms.
76 76
77 * Vampy requires Python 2.7. 77 * Vampy requires Python 2.7.
78 78
79 Note that Vampy does not support Python 3 at all at this 79 Note that Vampy does not support Python 3 at all at this
80 point. Note also that on a Mac in normal circumstances Vampy 80 point. Note also that on a Mac in normal circumstances Vampy
81 expects to use the system installation of Python, so plugin 81 expects to use the system installation of Python, so plugins
82 modules you write should be tested using this. 82 that you write should be tested using the system Python.
83 83
84 * Vampy supports Numpy 1.1 or greater. 84 * Vampy supports Numpy 1.1 or greater.
85 85
86 Using Numpy is optional, however writing plugins in pure 86 Using Numpy is optional, however writing plugins in pure
87 Python typically results in significantly slower processing. 87 Python typically results in significantly slower processing.