Mercurial > hg > vamp-plugin-sdk
comparison vamp-hostsdk/hostext/PluginSummarisingAdapter.h @ 227:6b30e064cab7 distinct-libraries
* more moving
author | cannam |
---|---|
date | Thu, 06 Nov 2008 14:13:12 +0000 |
parents | |
children |
comparison
equal
deleted
inserted
replaced
226:14029eb08472 | 227:6b30e064cab7 |
---|---|
1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */ | |
2 | |
3 /* | |
4 Vamp | |
5 | |
6 An API for audio analysis and feature extraction plugins. | |
7 | |
8 Centre for Digital Music, Queen Mary, University of London. | |
9 Copyright 2006-2008 Chris Cannam and QMUL. | |
10 | |
11 Permission is hereby granted, free of charge, to any person | |
12 obtaining a copy of this software and associated documentation | |
13 files (the "Software"), to deal in the Software without | |
14 restriction, including without limitation the rights to use, copy, | |
15 modify, merge, publish, distribute, sublicense, and/or sell copies | |
16 of the Software, and to permit persons to whom the Software is | |
17 furnished to do so, subject to the following conditions: | |
18 | |
19 The above copyright notice and this permission notice shall be | |
20 included in all copies or substantial portions of the Software. | |
21 | |
22 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, | |
23 EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF | |
24 MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND | |
25 NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR | |
26 ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF | |
27 CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION | |
28 WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. | |
29 | |
30 Except as contained in this notice, the names of the Centre for | |
31 Digital Music; Queen Mary, University of London; and Chris Cannam | |
32 shall not be used in advertising or otherwise to promote the sale, | |
33 use or other dealings in this Software without prior written | |
34 authorization. | |
35 */ | |
36 | |
37 #ifndef _VAMP_PLUGIN_SUMMARISING_ADAPTER_H_ | |
38 #define _VAMP_PLUGIN_SUMMARISING_ADAPTER_H_ | |
39 | |
40 #include "PluginWrapper.h" | |
41 | |
42 #include <set> | |
43 | |
44 namespace Vamp { | |
45 | |
46 namespace HostExt { | |
47 | |
48 /** | |
49 * \class PluginSummarisingAdapter PluginSummarisingAdapter.h <vamp-sdk/hostext/PluginSummarisingAdapter.h> | |
50 * | |
51 * \note This class was introduced in version 2.0 of the Vamp plugin SDK. | |
52 */ | |
53 | |
54 class PluginSummarisingAdapter : public PluginWrapper | |
55 { | |
56 public: | |
57 PluginSummarisingAdapter(Plugin *plugin); // I take ownership of plugin | |
58 virtual ~PluginSummarisingAdapter(); | |
59 | |
60 bool initialise(size_t channels, size_t stepSize, size_t blockSize); | |
61 | |
62 FeatureSet process(const float *const *inputBuffers, RealTime timestamp); | |
63 FeatureSet getRemainingFeatures(); | |
64 | |
65 typedef std::set<RealTime> SegmentBoundaries; | |
66 void setSummarySegmentBoundaries(const SegmentBoundaries &); | |
67 | |
68 enum SummaryType { | |
69 Minimum = 0, | |
70 Maximum = 1, | |
71 Mean = 2, | |
72 Median = 3, | |
73 Mode = 4, | |
74 Sum = 5, | |
75 Variance = 6, | |
76 StandardDeviation = 7, | |
77 Count = 8, | |
78 | |
79 UnknownSummaryType = 999 | |
80 }; | |
81 | |
82 /** | |
83 * AveragingMethod indicates how the adapter should handle | |
84 * average-based summaries of features whose results are not | |
85 * equally spaced in time. | |
86 * | |
87 * If SampleAverage is specified, summary types based on averages | |
88 * will be calculated by treating each result individually without | |
89 * regard to its time: for example, the mean will be the sum of | |
90 * all values divided by the number of values. | |
91 * | |
92 * If ContinuousTimeAverage is specified, each feature will be | |
93 * considered to have a duration, either as specified in the | |
94 * feature's duration field, or until the following feature: thus, | |
95 * for example, the mean will be the sum of the products of values | |
96 * and durations, divided by the total duration. | |
97 * | |
98 * Although SampleAverage is useful for many types of feature, | |
99 * ContinuousTimeAverage is essential for some situations, for | |
100 * example finding the result that spans the largest proportion of | |
101 * the input given a feature that emits a new result only when the | |
102 * value changes (the modal value integrated over time). | |
103 */ | |
104 enum AveragingMethod { | |
105 SampleAverage = 0, | |
106 ContinuousTimeAverage = 1, | |
107 }; | |
108 | |
109 FeatureList getSummaryForOutput(int output, | |
110 SummaryType type, | |
111 AveragingMethod method = SampleAverage); | |
112 | |
113 FeatureSet getSummaryForAllOutputs(SummaryType type, | |
114 AveragingMethod method = SampleAverage); | |
115 | |
116 protected: | |
117 class Impl; | |
118 Impl *m_impl; | |
119 }; | |
120 | |
121 } | |
122 | |
123 } | |
124 | |
125 #endif |