vamp 1.1.0

A simple example

Using librosa (http://bmcfee.github.io/librosa/) to read an audio file, and the NNLS Chroma Vamp plugin (https://code.soundsoftware.ac.uk/projects/nnls-chroma/) for analysis:

>>> import vamp
>>> import librosa
>>> data, rate = librosa.load("example.wav")
>>> chroma = vamp.collect(data, rate, "nnls-chroma:nnls-chroma")
>>> chroma
{'matrix': ( 0.092879819, array([[  61.0532608 ,   60.27478409,   59.3938446 , ...,  182.13394165,
          42.40084457,  116.55457306],
       [  68.8901825 ,   63.98115921,   60.77633667, ...,  245.88218689,
          68.51251984,  164.70120239],
       [  58.59794617,   50.3429184 ,   45.44804764, ...,  258.02362061,
          83.95749664,  179.91200256],
       ...,
       [   0.        ,    0.        ,    0.        , ...,    0.        ,
           0.        ,    0.        ],
       [   0.        ,    0.        ,    0.        , ...,    0.        ,
           0.        ,    0.        ],
       [   0.        ,    0.        ,    0.        , ...,    0.        ,
           0.        ,    0.        ]], dtype=float32))}
>>> stepsize, chromadata = chroma["matrix"]
>>> import matplotlib.pyplot as plt
>>> plt.imshow(chromadata)
<matplotlib.image.AxesImage object at 0x7fe9e0043fd0>
>>> plt.show()

And a pitch-chroma plot appears.

High-level interface (vamp)

This module contains three sorts of function:

Low-level interface (vampyhost)

This extension contains facilities that operate on Vamp plugins in a way analogous to the existing C++ Vamp Host SDK: list_plugins, get_plugin_path, get_category_of, get_library_for, get_outputs_of, load_plugin, and a utility function frame_to_realtime.

Calling load_plugin gets you a vampyhost.Plugin object, which then exposes all of the methods found in the Vamp SDK Plugin class.

(Note that methods wrapped directly from the Vamp SDK are named using camelCase, so as to match the names found in the C++ SDK. Elsewhere this module follows Python PEP8 naming.)

See the individual module and function documentation for further details.

Python Vamp Host Copyright (c) 2008-2015 Queen Mary, University of London

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