diff vamp-hostsdk/PluginSummarisingAdapter.h @ 233:521734d2b498 distinct-libraries

* Flatten directory tree a bit, update doxygen

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/vamp-hostsdk/PluginSummarisingAdapter.h	Fri Nov 07 15:28:33 2008 +0000
@@ -0,0 +1,125 @@
+/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
+
+/*
+    Vamp
+
+    An API for audio analysis and feature extraction plugins.
+
+    Centre for Digital Music, Queen Mary, University of London.
+    Copyright 2006-2008 Chris Cannam and QMUL.
+  
+    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 AUTHORS 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; Queen Mary, University of London; and Chris Cannam
+    shall not be used in advertising or otherwise to promote the sale,
+    use or other dealings in this Software without prior written
+    authorization.
+*/
+
+#ifndef _VAMP_PLUGIN_SUMMARISING_ADAPTER_H_
+#define _VAMP_PLUGIN_SUMMARISING_ADAPTER_H_
+
+#include "PluginWrapper.h"
+
+#include <set>
+
+namespace Vamp {
+
+namespace HostExt {
+
+/**
+ * \class PluginSummarisingAdapter PluginSummarisingAdapter.h <vamp-hostsdk/PluginSummarisingAdapter.h>
+ *
+ * \note This class was introduced in version 2.0 of the Vamp plugin SDK.
+ */
+
+class PluginSummarisingAdapter : public PluginWrapper
+{
+public:
+    PluginSummarisingAdapter(Plugin *plugin); // I take ownership of plugin
+    virtual ~PluginSummarisingAdapter();
+
+    bool initialise(size_t channels, size_t stepSize, size_t blockSize);
+
+    FeatureSet process(const float *const *inputBuffers, RealTime timestamp);
+    FeatureSet getRemainingFeatures();
+
+    typedef std::set<RealTime> SegmentBoundaries;
+    void setSummarySegmentBoundaries(const SegmentBoundaries &);
+
+    enum SummaryType {
+        Minimum            = 0,
+        Maximum            = 1,
+        Mean               = 2,
+        Median             = 3,
+        Mode               = 4,
+        Sum                = 5,
+        Variance           = 6,
+        StandardDeviation  = 7,
+        Count              = 8,
+
+        UnknownSummaryType = 999
+    };
+
+    /**
+     * AveragingMethod indicates how the adapter should handle
+     * average-based summaries of features whose results are not
+     * equally spaced in time.
+     *
+     * If SampleAverage is specified, summary types based on averages
+     * will be calculated by treating each result individually without
+     * regard to its time: for example, the mean will be the sum of
+     * all values divided by the number of values.
+     *
+     * If ContinuousTimeAverage is specified, each feature will be
+     * considered to have a duration, either as specified in the
+     * feature's duration field, or until the following feature: thus,
+     * for example, the mean will be the sum of the products of values
+     * and durations, divided by the total duration.
+     *
+     * Although SampleAverage is useful for many types of feature,
+     * ContinuousTimeAverage is essential for some situations, for
+     * example finding the result that spans the largest proportion of
+     * the input given a feature that emits a new result only when the
+     * value changes (the modal value integrated over time).
+     */
+    enum AveragingMethod {
+        SampleAverage         = 0,
+        ContinuousTimeAverage = 1,
+    };
+
+    FeatureList getSummaryForOutput(int output,
+                                    SummaryType type,
+                                    AveragingMethod method = SampleAverage);
+
+    FeatureSet getSummaryForAllOutputs(SummaryType type,
+                                       AveragingMethod method = SampleAverage);
+
+protected:
+    class Impl;
+    Impl *m_impl;
+};
+
+}
+
+}
+
+#endif