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view vamp/frames.py @ 151:5a6b8f4be9b9 tracks tip
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author | Chris Cannam |
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date | Fri, 21 Apr 2017 14:33:57 +0100 |
parents | 2370b942cd32 |
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#!/usr/bin/env python # Python Vamp Host # Copyright (c) 2008-2015 Queen Mary, University of London # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation # files (the "Software"), to deal in the Software without # restriction, including without limitation the rights to use, copy, # modify, merge, publish, distribute, sublicense, and/or sell copies # of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY # CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF # CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION # WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # # Except as contained in this notice, the names of the Centre for # Digital Music and Queen Mary, University of London shall not be # used in advertising or otherwise to promote the sale, use or other # dealings in this Software without prior written authorization. '''A high-level interface to the vampyhost extension module, for quickly and easily running Vamp audio analysis plugins on audio files and buffers.''' import numpy def frames_from_array(arr, step_size, frame_size): """Generate a list of frames of size frame_size, extracted from the input array arr at step_size intervals""" # presumably such a function exists in many places, but I need practice assert(step_size > 0) if arr.ndim == 1: # turn 1d into 2d array with 1 channel arr = numpy.reshape(arr, (1, arr.shape[0])) assert(arr.ndim == 2) n = arr.shape[1] i = 0 while (i < n): frame = arr[:, i : i + frame_size] w = frame.shape[1] if (w < frame_size): pad = numpy.zeros((frame.shape[0], frame_size - w)) frame = numpy.concatenate((frame, pad), 1) yield frame i = i + step_size